2015 CVPR

下面是2015CVPR文章的主题标签,文章列表来源于http://www.pamitc.org/cvpr15/program.php
Title: Scene parsing; Object segmentation; Image segmentation; Video segmentation; Boundary detection; Contour analysis; Object tracking; Action recognition; Crowd analysis; Human detection; Human parsing; Face recognition; Face parsing; Object recognition; Object detection; Saliency detection; Scene recognition; Text recognition; Image retrieval; 3D modeling; Feature matching; Pose estimation; Stereo matching;Optical flow;Region matching; Image editing; Computational photography; Texture analysis; Data clustering; Space reduction; Machine learning; Deep learning;

【Scene parsing】Deep Hierarchical Parsing for Semantic Segmentation

PDF: ./papers/Sharma_Deep_Hierarchical_Parsing_2015_CVPR_paper.pdf

Abhishek Sharma:

Oncel Tuzel:

David W. Jacobs:

【Scene parsing】SUN RGB-D: A RGB-D Scene Understanding Benchmark Suite

PDF: ./papers/Song_SUN_RGB-D_A_2015_CVPR_paper.pdf

Shuran Song:

Samuel P. Lichtenberg:

Jianxiong Xiao: http://vision.princeton.edu/people/xj/

【Scene parsing】Discovering States and Transformations in Image Collections

PDF: ./papers/Isola_Discovering_States_and_2015_CVPR_paper.pdf

Phillip Isola:

Joseph J. Lim:

Edward H. Adelson:

【Scene parsing】Ontological Supervision for Fine Grained Classification of Street View Storefronts

PDF: ./papers/Movshovitz-Attias_Ontological_Supervision_for_2015_CVPR_paper.pdf

Yair Movshovitz-Attias:

Qian Yu:

Martin C. Stumpe:

Vinay Shet:

Sacha Arnoud:

Liron Yatziv:

【Scene parsing】From Image-Level to Pixel-Level Labeling With Convolutional Networks

PDF: ./papers/Pinheiro_From_Image-Level_to_2015_CVPR_paper.pdf

Pedro O. Pinheiro:

Ronan Collobert:

【Scene parsing】Semantic Alignment of Li DAR Data at City Scale

PDF: ./papers/Yu_Semantic_Alignment_of_2015_CVPR_paper.pdf

Fisher Yu:

Jianxiong Xiao: http://vision.princeton.edu/people/xj/

Thomas Funkhouser:

【Scene parsing】Semantic Part Segmentation Using Compositional Model Combining Shape and Appearance

PDF: ./papers/Wang_Semantic_Part_Segmentation_2015_CVPR_paper.pdf

Jianyu Wang:

Alan L. Yuille:

【Scene parsing】Understanding Image Virality

PDF: ./papers/Deza_Understanding_Image_Virality_2015_CVPR_paper.pdf

Arturo Deza:

Devi Parikh: https://filebox.ece.vt.edu/~parikh/

【Scene parsing】Learning Similarity Metrics for Dynamic Scene Segmentation

PDF: ./papers/Teney_Learning_Similarity_Metrics_2015_CVPR_paper.pdf

Damien Teney:

Matthew Brown:

Dmitry Kit:

Peter Hall:

【Scene parsing】Weakly Supervised Semantic Segmentation for Social Images

PDF: ./papers/Zhang_Weakly_Supervised_Semantic_2015_CVPR_paper.pdf

Wei Zhang:

Sheng Zeng:

Dequan Wang:

Xiangyang Xue:

【Scene parsing】Geo-Semantic Segmentation

PDF: ./papers/Ardeshir_Geo-Semantic_Segmentation_2015_CVPR_paper.pdf

Shervin Ardeshir:

Kofi Malcolm Collins-Sibley:

Mubarak Shah: http://crcv.ucf.edu/people/faculty/shah.html

【Scene parsing】Towards Unified Depth and Semantic Prediction From a Single Image

PDF: ./papers/Wang_Towards_Unified_Depth_2015_CVPR_paper.pdf

Peng Wang:

Xiaohui Shen:

Zhe Lin: http://www.adobe.com/technology/people/san-jose/zhe-lin.html

Scott Cohen:

Brian Price:

Alan L. Yuille:

【Scene parsing】Feedforward Semantic Segmentation With Zoom-Out Features

PDF: ./papers/Mostajabi_Feedforward_Semantic_Segmentation_2015_CVPR_paper.pdf

Mohammadreza Mostajabi:

Payman Yadollahpour:

Gregory Shakhnarovich:

【Scene parsing】Rent3D: Floor-Plan Priors for Monocular Layout Estimation

PDF: ./papers/Liu_Rent3D_Floor-Plan_Priors_2015_CVPR_paper.pdf

Chenxi Liu:

Alexander G. Schwing:

Kaustav Kundu:

Raquel Urtasun: http://www.cs.toronto.edu/~urtasun/

Sanja Fidler:

【Scene parsing】Fully Convolutional Networks for Semantic Segmentation

PDF: ./papers/Long_Fully_Convolutional_Networks_2015_CVPR_paper.pdf

Jonathan Long: http://www.cs.berkeley.edu/~jonlong/

Evan Shelhamer:

Trevor Darrell: http://www.eecs.berkeley.edu/~trevor/

【Scene parsing】Second-Order Constrained Parametric Proposals and Sequential Search-Based Structured Prediction for Semantic Segmentation in RGB-D Images

PDF: ./papers/Banica_Second-Order_Constrained_Parametric_2015_CVPR_paper.pdf

Dan Banica:

Cristian Sminchisescu:

【Scene parsing】Scene Labeling With LSTM Recurrent Neural Networks

PDF: ./papers/Byeon_Scene_Labeling_With_2015_CVPR_paper.pdf

Wonmin Byeon:

Thomas M. Breuel:

Federico Raue:

Marcus Liwicki:

【Scene parsing】Image Parsing With a Wide Range of Classes and Scene-Level Context

PDF: ./papers/George_Image_Parsing_With_2015_CVPR_paper.pdf

Marian George:

【Scene parsing】Holistic 3D Scene Understanding From a Single Geo-Tagged Image

PDF: ./papers/Wang_Holistic_3D_Scene_2015_CVPR_paper.pdf

Shenlong Wang:

Sanja Fidler:

Raquel Urtasun: http://www.cs.toronto.edu/~urtasun/

【Scene parsing】Integrating Parametric and Non-Parametric Models For Scene Labeling

PDF: ./papers/Shuai_Integrating_Parametric_and_2015_CVPR_paper.pdf

Bing Shuai:

Gang Wang:

Zhen Zuo:

Bing Wang:

Lifan Zhao:

【Scene parsing】Mining Semantic Affordances of Visual Object Categories

PDF: ./papers/Chao_Mining_Semantic_Affordances_2015_CVPR_paper.pdf

Yu-Wei Chao:

Zhan Wang:

Rada Mihalcea:

Jia Deng:

【Scene parsing】Picture: A Probabilistic Programming Language for Scene Perception

PDF: ./papers/Kulkarni_Picture_A_Probabilistic_2015_CVPR_paper.pdf

Tejas D. Kulkarni:

Pushmeet Kohli: http://research.microsoft.com/en-us/um/people/pkohli/

Joshua B. Tenenbaum:

Vikash Mansinghka:

【Scene parsing】3D All The Way: Semantic Segmentation of Urban Scenes From Start to End in 3D

PDF: ./papers/Martinovic_3D_All_The_2015_CVPR_paper.pdf

Andelo Martinović:

Jan Knopp:

Hayko Riemenschneider:

Luc Van Gool: http://www.vision.ee.ethz.ch/

【Object segmentation】Hypercolumns for Object Segmentation and Fine-Grained Localization

PDF: ./papers/Hariharan_Hypercolumns_for_Object_2015_CVPR_paper.pdf

Bharath Hariharan:

Pablo Arbeláez:

Ross Girshick: http://www.cs.berkeley.edu/~rbg/

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

【Object segmentation】Light Field Layer Matting

PDF: ./papers/Fiss_Light_Field_Layer_2015_CVPR_paper.pdf

Juliet Fiss:

Brian Curless: http://homes.cs.washington.edu/~curless/

Rick Szeliski:

【Object segmentation】Patch Cut: Data-Driven Object Segmentation via Local Shape Transfer

PDF: ./papers/Yang_PatchCut_Data-Driven_Object_2015_CVPR_paper.pdf

Jimei Yang:

Brian Price:

Scott Cohen:

Zhe Lin: http://www.adobe.com/technology/people/san-jose/zhe-lin.html

Ming-Hsuan Yang:

【Object segmentation】Segment Based 3D Object Shape Priors

PDF: ./papers/Mahabadi_Segment_Based_3D_2015_CVPR_paper.pdf

Rabeeh Karimi Mahabadi:

Christian Häne:

Marc Pollefeys: http://www.inf.ethz.ch/personal/pomarc/

【Object segmentation】Real-Time Coarse-to-Fine Topologically Preserving Segmentation

PDF: ./papers/Yao_Real-Time_Coarse-to-Fine_Topologically_2015_CVPR_paper.pdf

Jian Yao:

Marko Boben:

Sanja Fidler:

Raquel Urtasun: http://www.cs.toronto.edu/~urtasun/

【Object segmentation】Multi-Instance Object Segmentation With Occlusion Handling

PDF: ./papers/Chen_Multi-Instance_Object_Segmentation_2015_CVPR_paper.pdf

Yi-Ting Chen:

Xiaokai Liu:

Ming-Hsuan Yang:

【Object segmentation】Object Proposal by Multi-Branch Hierarchical Segmentation

PDF: ./papers/Wang_Object_Proposal_by_2015_CVPR_paper.pdf

Chaoyang Wang:

Long Zhao:

Shuang Liang:

Liqing Zhang: http://bcmi.sjtu.edu.cn/~zhangliqing/

Jinyuan Jia:

Yichen Wei:

【Object segmentation】Convolutional Feature Masking for Joint Object and Stuff Segmentation

PDF: ./papers/Dai_Convolutional_Feature_Masking_2015_CVPR_paper.pdf

Jifeng Dai:

Kaiming He: http://research.microsoft.com/en-us/um/people/kahe/

Jian Sun: http://research.microsoft.com/en-us/groups/vc/

【Object segmentation】Object-Based RGBD Image Co-Segmentation With Mutex Constraint

PDF: ./papers/Fu_Object-Based_RGBD_Image_2015_CVPR_paper.pdf

Huazhu Fu:

Dong Xu: http://www.ntu.edu.sg/home/dongxu/

Stephen Lin:

Jiang Liu:

【Object segmentation】Separating Objects and Clutter in Indoor Scenes

PDF: ./papers/Khan_Separating_Objects_and_2015_CVPR_paper.pdf

Salman H. Khan:

Xuming He: http://users.cecs.anu.edu.au/~hexm/

Mohammed Bennamoun: http://www.csse.uwa.edu.au/~bennamou/

Ferdous Sohel:

Roberto Togneri:

【Object segmentation】Background Subtraction via Generalized Fused Lasso Foreground Modeling

PDF: ./papers/Xin_Background_Subtraction_via_2015_CVPR_paper.pdf

Bo Xin:

Yuan Tian:

Yizhou Wang:

Wen Gao:

【Image segmentation】Superpixel Segmentation Using Linear Spectral Clustering

PDF: ./papers/Li_Superpixel_Segmentation_Using_2015_CVPR_paper.pdf

Zhengqin Li:

Jiansheng Chen:

【Image segmentation】Image Segmentation in Twenty Questions

PDF: ./papers/Rupprecht_Image_Segmentation_in_2015_CVPR_paper.pdf

Christian Rupprecht:

Loïc Peter:

Nassir Navab: http://campar.in.tum.de/Main/NassirNavab

【Image segmentation】Multiple Random Walkers and Their Application to Image Cosegmentation

PDF: ./papers/Lee_Multiple_Random_Walkers_2015_CVPR_paper.pdf

Chulwoo Lee:

Won-Dong Jang:

Jae-Young Sim:

Chang-Su Kim:

【Video segmentation】Propagated Image Filtering

PDF: ./papers/Chang_Propagated_Image_Filtering_2015_CVPR_paper.pdf

Jen-Hao Rick Chang:

Yu-Chiang Frank Wang: http://www.citi.sinica.edu.tw/pages/ycwang/index_en.html

【Video segmentation】Region-Based Temporally Consistent Video Post-Processing

PDF: ./papers/Dong_Region-Based_Temporally_Consistent_2015_CVPR_paper.pdf

Xuan Dong:

Boyan Bonev:

Yu Zhu:

Alan L. Yuille:

【Video segmentation】Classifier Based Graph Construction for Video Segmentation

PDF: ./papers/Khoreva_Classifier_Based_Graph_2015_CVPR_paper.pdf

Anna Khoreva:

Fabio Galasso:

Matthias Hein:

Bernt Schiele: http://www.d2.mpi-inf.mpg.de/schiele/

【Video segmentation】Temporally Coherent Interpretations for Long Videos Using Pattern Theory

PDF: ./papers/Souza_Temporally_Coherent_Interpretations_2015_CVPR_paper.pdf

Fillipe Souza:

Sudeep Sarkar:

Anuj Srivastava: http://www.stat.fsu.edu/~anuj/

Jingyong Su:

【Video segmentation】JOTS: Joint Online Tracking and Segmentation

PDF: ./papers/Wen_JOTS_Joint_Online_2015_CVPR_paper.pdf

Longyin Wen:

Dawei Du:

Zhen Lei:

Stan Z. Li:

Ming-Hsuan Yang:

【Video segmentation】Saliency-Aware Geodesic Video Object Segmentation

PDF: ./papers/Wang_Saliency-Aware_Geodesic_Video_2015_CVPR_paper.pdf

Wenguan Wang:

Jianbing Shen: http://cs.bit.edu.cn/shenjianbing/

Fatih Porikli: http://www.porikli.com/

【Video segmentation】Semantic Object Segmentation via Detection in Weakly Labeled Video

PDF: ./papers/Zhang_Semantic_Object_Segmentation_2015_CVPR_paper.pdf

Yu Zhang: http://www.comp.hkbu.edu.hk/~yuzhang/

Xiaowu Chen: http://arts.buaa.edu.cn/index.htm

Jia Li:

Chen Wang:

Changqun Xia:

【Video segmentation】Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection

PDF: ./papers/Liu_Multi-Task_Deep_Visual-Semantic_2015_CVPR_paper.pdf

Wu Liu:

Tao Mei:

Yongdong Zhang:

Cherry Che:

Jiebo Luo: http://www.cs.rochester.edu/u/jluo/

【Video segmentation】Shape-Tailored Local Descriptors and Their Application to Segmentation and Tracking

PDF: ./papers/Khan_Shape-Tailored_Local_Descriptors_2015_CVPR_paper.pdf

Naeemullah Khan:

Marei Algarni:

Anthony Yezzi:

Ganesh Sundaramoorthi:

【Video segmentation】Learning to Segment Moving Objects in Videos

PDF: ./papers/Fragkiadaki_Learning_to_Segment_2015_CVPR_paper.pdf

Katerina Fragkiadaki:

Pablo Arbeláez:

Panna Felsen:

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

【Video segmentation】Robust Video Segment Proposals With Painless Occlusion Handling

PDF: ./papers/Wu_Robust_Video_Segment_2015_CVPR_paper.pdf

Zhengyang Wu:

Fuxin Li: http://www.cc.gatech.edu/~fli/

Rahul Sukthankar:

James M. Rehg:

【Video segmentation】Causal Video Object Segmentation From Persistence of Occlusions

PDF: ./papers/Taylor_Causal_Video_Object_2015_CVPR_paper.pdf

Brian Taylor:

Vasiliy Karasev:

Stefano Soatto: http://vision.ucla.edu/projects.html

【Video segmentation】Multiclass Semantic Video Segmentation With Object-Level Active Inference

PDF: ./papers/Liu_Multiclass_Semantic_Video_2015_CVPR_paper.pdf

Buyu Liu:

Xuming He: http://users.cecs.anu.edu.au/~hexm/

【Video segmentation】Superpixel-Based Video Object Segmentation Using Perceptual Organization and Location Prior

PDF: ./papers/Giordano_Superpixel-Based_Video_Object_2015_CVPR_paper.pdf

Daniela Giordano:

Francesca Murabito:

Simone Palazzo:

Concetto Spampinato:

【Video segmentation】Joint Tracking and Segmentation of Multiple Targets

PDF: ./papers/Milan_Joint_Tracking_and_2015_CVPR_paper.pdf

Anton Milan:

Laura Leal-Taixé:

Konrad Schindler:

Ian Reid: http://www.robots.ox.ac.uk/~ian/

【Video segmentation】SOLD: Sub-Optimal Low-rank Decomposition for Efficient Video Segmentation

PDF: ./papers/Li_SOLD_Sub-Optimal_Low-rank_2015_CVPR_paper.pdf

Chenglong Li:

Liang Lin: http://ss.sysu.edu.cn/~ll/index.html

Wangmeng Zuo:

Shuicheng Yan: http://www.lv-nus.org/index.html

Jin Tang:

【Boundary detection】Oriented Edge Forests for Boundary Detection

PDF: ./papers/Hallman_Oriented_Edge_Forests_2015_CVPR_paper.pdf

Sam Hallman:

Charless C. Fowlkes:

【Boundary detection】Making Better Use of Edges via Perceptual Grouping

PDF: ./papers/Qi_Making_Better_Use_2015_CVPR_paper.pdf

Yonggang Qi:

Yi-Zhe Song:

Tao Xiang:

Honggang Zhang:

Timothy Hospedales:

Yi Li: http://users.cecs.anu.edu.au/~yili/

Jun Guo:

【Boundary detection】Shadow Optimization From Structured Deep Edge Detection

PDF: ./papers/Shen_Shadow_Optimization_From_2015_CVPR_paper.pdf

Li Shen:

Teck Wee Chua:

Karianto Leman:

【Boundary detection】Learning to Detect Motion Boundaries

PDF: ./papers/Weinzaepfel_Learning_to_Detect_2015_CVPR_paper.pdf

Philippe Weinzaepfel:

Jerome Revaud: http://lear.inrialpes.fr/people/revaud/

Zaid Harchaoui:

Cordelia Schmid: http://lear.inrialpes.fr/~schmid/

【Boundary detection】Line Drawing Interpretation in a Multi-View Context

PDF: ./papers/Favreau_Line_Drawing_Interpretation_2015_CVPR_paper.pdf

Jean-Dominique Favreau:

Florent Lafarge:

Adrien Bousseau:

【Boundary detection】Situational Object Boundary Detection

PDF: ./papers/Uijlings_Situational_Object_Boundary_2015_CVPR_paper.pdf

Jasper R. R. Uijlings:

Vittorio Ferrari: http://groups.inf.ed.ac.uk/calvin/index.html

【Boundary detection】Correlation Filters With Limited Boundaries

PDF: ./papers/Galoogahi_Correlation_Filters_With_2015_CVPR_paper.pdf

Hamed Kiani Galoogahi:

Terence Sim: https://www.comp.nus.edu.sg/~tsim/

Simon Lucey:

【Boundary detection】Situational Object Boundary Detection

PDF: ./papers/Uijlings_Situational_Object_Boundary_2015_CVPR_paper.pdf

Jasper R. R. Uijlings:

Vittorio Ferrari: http://groups.inf.ed.ac.uk/calvin/index.html

【Boundary detection】Fast 2D Border Ownership Assignment

PDF: ./papers/Teo_Fast_2D_Border_2015_CVPR_paper.pdf

Ching Teo:

Cornelia Fermüller:

Yiannis Aloimonos: http://www.cfar.umd.edu/~yiannis/

【Boundary detection】On the Appearance of Translucent Edges

PDF: ./papers/Gkioulekas_On_the_Appearance_2015_CVPR_paper.pdf

Ioannis Gkioulekas:

Bruce Walter:

Edward H. Adelson:

Kavita Bala:

Todd Zickler:

【Contour analysis】A Statistical Model of Riemannian Metric Variation for Deformable Shape Analysis

PDF: ./papers/Gasparetto_A_Statistical_Model_2015_CVPR_paper.pdf

Andrea Gasparetto:

Andrea Torsello:

【Contour analysis】Deep Shape: Deep Learned Shape Descriptor for 3D Shape Matching and Retrieval

PDF: ./papers/Xie_DeepShape_Deep_Learned_2015_CVPR_paper.pdf

Jin Xie:

Yi Fang:

Fan Zhu:

Edward Wong:

【Contour analysis】A Linear Least-Squares Solution to Elastic Shape-From-Template

PDF: ./papers/Malti_A_Linear_Least-Squares_2015_CVPR_paper.pdf

Abed Malti:

Adrien Bartoli:

Richard Hartley:

【Contour analysis】3D Shape Nets: A Deep Representation for Volumetric Shapes

PDF: ./papers/Wu_3D_ShapeNets_A_2015_CVPR_paper.pdf

Zhirong Wu:

Shuran Song:

Aditya Khosla:

Fisher Yu:

Linguang Zhang:

Xiaoou Tang: http://mmlab.ie.cuhk.edu.hk/

Jianxiong Xiao: http://vision.princeton.edu/people/xj/

【Contour analysis】Total Variation Regularization of Shape Signals

PDF: ./papers/Baust_Total_Variation_Regularization_2015_CVPR_paper.pdf

Maximilian Baust:

Laurent Demaret:

Martin Storath:

Nassir Navab: http://campar.in.tum.de/Main/NassirNavab

Andreas Weinmann:

【Contour analysis】Completing 3D Object Shape From One Depth Image

PDF: ./papers/Rock_Completing_3D_Object_2015_CVPR_paper.pdf

Jason Rock:

Tanmay Gupta:

Justin Thorsen:

Jun Young Gwak:

Daeyun Shin:

Derek Hoiem: http://www.cs.illinois.edu/~dhoiem/

【Contour analysis】Online Sketching Hashing

PDF: ./papers/Leng_Online_Sketching_Hashing_2015_CVPR_paper.pdf

Cong Leng:

Jiaxiang Wu:

Jian Cheng:

Xiao Bai:

Hanqing Lu:

【Contour analysis】A MRF Shape Prior for Facade Parsing With Occlusions

PDF: ./papers/Kozinski_A_MRF_Shape_2015_CVPR_paper.pdf

Mateusz Koziński:

Raghudeep Gadde:

Sergey Zagoruyko:

Guillaume Obozinski:

Renaud Marlet:

【Contour analysis】Shape-From-Template in Flatland

PDF: ./papers/Gallardo_Shape-From-Template_in_Flatland_2015_CVPR_paper.pdf

Mathias Gallardo:

Daniel Pizarro:

Adrien Bartoli:

Toby Collins:

【Contour analysis】Spherical Embedding of Inlier Silhouette Dissimilarities

PDF: ./papers/Littwin_Spherical_Embedding_of_2015_CVPR_paper.pdf

Etai Littwin:

Hadar Averbuch-Elor:

Daniel Cohen-Or:

【Contour analysis】Deep Contour: A Deep Convolutional Feature Learned by Positive-Sharing Loss for Contour Detection

PDF: ./papers/Shen_DeepContour_A_Deep_2015_CVPR_paper.pdf

Wei Shen:

Xinggang Wang:

Yan Wang:

Xiang Bai:

Zhijiang Zhang:

【Contour analysis】A Fast Algorithm for Elastic Shape Distances Between Closed Planar Curves

PDF: ./papers/Dogan_A_Fast_Algorithm_2015_CVPR_paper.pdf

Günay Doğan:

Javier Bernal:

Charles R. Hagwood:

【Contour analysis】Deep Edge: A Multi-Scale Bifurcated Deep Network for Top-Down Contour Detection

PDF: ./papers/Bertasius_DeepEdge_A_Multi-Scale_2015_CVPR_paper.pdf

Gedas Bertasius:

Jianbo Shi: http://www.cis.upenn.edu/~jshi/

Lorenzo Torresani:

【Contour analysis】Understanding Image Structure via Hierarchical Shape Parsing

PDF: ./papers/Liu_Understanding_Image_Structure_2015_CVPR_paper.pdf

Xian-Ming Liu:

Rongrong Ji:

Changhu Wang:

Wei Liu:

Bineng Zhong:

Thomas S. Huang:

【Object tracking】Structural Sparse Tracking

PDF: ./papers/Zhang_Structural_Sparse_Tracking_2015_CVPR_paper.pdf

Tianzhu Zhang:

Si Liu:

Changsheng Xu:

Shuicheng Yan: http://www.lv-nus.org/index.html

Bernard Ghanem:

Narendra Ahuja: http://vision.ai.illinois.edu/publications.htm

Ming-Hsuan Yang:

【Object tracking】An Efficient Volumetric Framework for Shape Tracking

PDF: ./papers/Allain_An_Efficient_Volumetric_2015_CVPR_paper.pdf

Benjamin Allain:

Jean-Sébastien Franco:

Edmond Boyer:

【Object tracking】Reliable Patch Trackers: Robust Visual Tracking by Exploiting Reliable Patches

PDF: ./papers/Li_Reliable_Patch_Trackers_2015_CVPR_paper.pdf

Yang Li:

Jianke Zhu:

Steven C.H. Hoi:

【Object tracking】Depth Camera Tracking With Contour Cues

PDF: ./papers/Zhou_Depth_Camera_Tracking_2015_CVPR_paper.pdf

Qian-Yi Zhou:

Vladlen Koltun: http://vladlen.info/publications/

【Object tracking】MUlti-Store Tracker

PDF: ./papers/Hong_MUlti-Store_Tracker_MUSTer_2015_CVPR_paper.pdf

Zhibin Hong:

Zhe Chen:

Chaohui Wang:

Xue Mei:

Danil Prokhorov:

Dacheng Tao:

【Object tracking】Prediction of Search Targets From Fixations in Open-World Settings

PDF: ./papers/Sattar_Prediction_of_Search_2015_CVPR_paper.pdf

Hosnieh Sattar:

Sabine Müller:

Mario Fritz: https://scalable.mpi-inf.mpg.de/

Andreas Bulling:

【Object tracking】Target Identity-Aware Network Flow for Online Multiple Target Tracking

PDF: ./papers/Dehghan_Target_Identity-Aware_Network_2015_CVPR_paper.pdf

Afshin Dehghan:

Yicong Tian:

Philip H. S. Torr:

Mubarak Shah: http://crcv.ucf.edu/people/faculty/shah.html

【Object tracking】Good Features to Track for Visual SLAM

PDF: ./papers/Zhang_Good_Features_to_2015_CVPR_paper.pdf

Guangcong Zhang:

Patricio A. Vela:

【Object tracking】In Defense of Color-Based Model-Free Tracking

PDF: ./papers/Possegger_In_Defense_of_2015_CVPR_paper.pdf

Horst Possegger:

Thomas Mauthner:

Horst Bischof: http://www.icg.tugraz.at/Members/bischof

【Object tracking】Joint Vanishing Point Extraction and Tracking

PDF: ./papers/Kroeger_Joint_Vanishing_Point_2015_CVPR_paper.pdf

Till Kroeger:

Dengxin Dai:

Luc Van Gool: http://www.vision.ee.ethz.ch/

【Object tracking】Clustering of Static-Adaptive Correspondences for Deformable Object Tracking

PDF: ./papers/Nebehay_Clustering_of_Static-Adaptive_2015_CVPR_paper.pdf

Georg Nebehay:

Roman Pflugfelder:

【Object tracking】Fast and Robust Hand Tracking Using Detection-Guided Optimization

PDF: ./papers/Sridhar_Fast_and_Robust_2015_CVPR_paper.pdf

Srinath Sridhar:

Franziska Mueller:

Antti Oulasvirta:

Christian Theobalt:

【Object tracking】Eye Tracking Assisted Extraction of Attentionally Important Objects From Videos

PDF: ./papers/Vadivel_Eye_Tracking_Assisted_2015_CVPR_paper.pdf

Karthikeyan Shanmuga Vadivel:

Thuyen Ngo:

Miguel Eckstein:

B.S. Manjunath:

【Object tracking】Toward User-Specific Tracking by Detection of Human Shapes in Multi-Cameras

PDF: ./papers/Huang_Toward_User-Specific_Tracking_2015_CVPR_paper.pdf

Chun-Hao Huang:

Edmond Boyer:

Bibiana do Canto Angonese:

Nassir Navab: http://campar.in.tum.de/Main/NassirNavab

Slobodan Ilic:

【Object tracking】GMMCP Tracker: Globally Optimal Generalized Maximum Multi Clique Problem for Multiple Object Tracking

PDF: ./papers/Dehghan_GMMCP_Tracker_Globally_2015_CVPR_paper.pdf

Afshin Dehghan:

Shayan Modiri Assari:

Mubarak Shah: http://crcv.ucf.edu/people/faculty/shah.html

【Object tracking】Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters

PDF: ./papers/Liu_Real-Time_Part-Based_Visual_2015_CVPR_paper.pdf

Ting Liu:

Gang Wang:

Qingxiong Yang: http://www.cs.cityu.edu.hk/~qiyang/

【Object tracking】Single Target Tracking Using Adaptive Clustered Decision Trees and Dynamic Multi-Level Appearance Models

PDF: ./papers/Xiao_Single_Target_Tracking_2015_CVPR_paper.pdf

Jingjing Xiao:

Rustam Stolkin:

Aleš Leonardis:

【Object tracking】Subgraph Decomposition for Multi-Target Tracking

PDF: ./papers/Tang_Subgraph_Decomposition_for_2015_CVPR_paper.pdf

Siyu Tang:

Bjoern Andres:

Miykhaylo Andriluka:

Bernt Schiele: http://www.d2.mpi-inf.mpg.de/schiele/

【Object tracking】Multihypothesis Trajectory Analysis for Robust Visual Tracking

PDF: ./papers/Lee_Multihypothesis_Trajectory_Analysis_2015_CVPR_paper.pdf

Dae-Youn Lee:

Jae-Young Sim:

Chang-Su Kim:

【Object tracking】Long-Term Correlation Tracking

PDF: ./papers/Ma_Long-Term_Correlation_Tracking_2015_CVPR_paper.pdf

Chao Ma:

Xiaokang Yang:

Chongyang Zhang:

Ming-Hsuan Yang:

【Object tracking】On Pairwise Costs for Network Flow Multi-Object Tracking

PDF: ./papers/Chari_On_Pairwise_Costs_2015_CVPR_paper.pdf

Visesh Chari:

Simon Lacoste-Julien:

Ivan Laptev: http://www.di.ens.fr/~laptev/index.html

Josef Sivic:

【Action recognition】What do 15,000 Object Categories Tell Us About Classifying and Localizing Actions?

PDF: ./papers/Jain_What_do_15000_2015_CVPR_paper.pdf

Mihir Jain:

Jan C. van Gemert:

Cees G. M. Snoek:

【Action recognition】A Dynamic Programming Approach for Fast and Robust Object Pose Recognition From Range Images

PDF: ./papers/Zach_A_Dynamic_Programming_2015_CVPR_paper.pdf

Christopher Zach:

Adrian Penate-Sanchez:

Minh-Tri Pham:

【Action recognition】Beyond Gaussian Pyramid: Multi-Skip Feature Stacking for Action Recognition

PDF: ./papers/Lan_Beyond_Gaussian_Pyramid_2015_CVPR_paper.pdf

Zhengzhong Lan:

Ming Lin:

Xuanchong Li:

Alex G. Hauptmann:

Bhiksha Raj:

【Action recognition】Delving Into Egocentric Actions

PDF: ./papers/Li_Delving_Into_Egocentric_2015_CVPR_paper.pdf

Yin Li:

Zhefan Ye:

James M. Rehg:

【Action recognition】Finding Action Tubes

PDF: ./papers/Gkioxari_Finding_Action_Tubes_2015_CVPR_paper.pdf

Georgia Gkioxari:

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

【Action recognition】Predicting the Future Behavior of a Time-Varying Probability Distribution

PDF: ./papers/Lampert_Predicting_the_Future_2015_CVPR_paper.pdf

Christoph H. Lampert: http://pub.ist.ac.at/~chl/

【Action recognition】Activity Net: A Large-Scale Video Benchmark for Human Activity Understanding

PDF: ./papers/Heilbron_ActivityNet_A_Large-Scale_2015_CVPR_paper.pdf

Fabian Caba Heilbron:

Victor Escorcia:

Bernard Ghanem:

Juan Carlos Niebles:

【Action recognition】Bilinear Heterogeneous Information Machine for RGB-D Action Recognition

PDF: ./papers/Kong_Bilinear_Heterogeneous_Information_2015_CVPR_paper.pdf

Yu Kong:

Yun Fu:

【Action recognition】Learning Semantic Relationships for Better Action Retrieval in Images

PDF: ./papers/Ramanathan_Learning_Semantic_Relationships_2015_CVPR_paper.pdf

Vignesh Ramanathan:

Congcong Li:

Jia Deng:

Wei Han:

Zhen Li:

Kunlong Gu:

Yang Song:

Samy Bengio:

Charles Rosenberg:

Li Fei-Fei:

【Action recognition】Hierarchical Recurrent Neural Network for Skeleton Based Action Recognition

PDF: ./papers/Du_Hierarchical_Recurrent_Neural_2015_CVPR_paper.pdf

Yong Du:

Wei Wang:

Liang Wang:

【Action recognition】Joint Action Recognition and Pose Estimation From Video

PDF: ./papers/Nie_Joint_Action_Recognition_2015_CVPR_paper.pdf

Bruce Xiaohan Nie:

Caiming Xiong:

Song-Chun Zhu:

【Action recognition】Fast Action Proposals for Human Action Detection and Search

PDF: ./papers/Yu_Fast_Action_Proposals_2015_CVPR_paper.pdf

Gang Yu:

Junsong Yuan:

【Action recognition】Recognize Complex Events From Static Images by Fusing Deep Channels

PDF: ./papers/Xiong_Recognize_Complex_Events_2015_CVPR_paper.pdf

Yuanjun Xiong:

Kai Zhu:

Dahua Lin: http://dahua.me/

Xiaoou Tang: http://mmlab.ie.cuhk.edu.hk/

【Action recognition】Multi-Feature Max-Margin Hierarchical Bayesian Model for Action Recognition

PDF: ./papers/Yang_Multi-Feature_Max-Margin_Hierarchical_2015_CVPR_paper.pdf

Shuang Yang:

Chunfeng Yuan:

Baoxin Wu:

Weiming Hu:

Fangshi Wang:

【Action recognition】A Discriminative CNN Video Representation for Event Detection

PDF: ./papers/Xu_A_Discriminative_CNN_2015_CVPR_paper.pdf

Zhongwen Xu:

Yi Yang: http://www.cs.cmu.edu/~yiyang/

Alex G. Hauptmann:

【Action recognition】Best of Both Worlds: Human-Machine Collaboration for Object Annotation

PDF: ./papers/Russakovsky_Best_of_Both_2015_CVPR_paper.pdf

Olga Russakovsky:

Li-Jia Li:

Li Fei-Fei:

【Action recognition】Gaze-Enabled Egocentric Video Summarization via Constrained Submodular Maximization

PDF: ./papers/Xu_Gaze-Enabled_Egocentric_Video_2015_CVPR_paper.pdf

Jia Xu:

Lopamudra Mukherjee:

Yin Li:

Jamieson Warner:

James M. Rehg:

Vikas Singh: http://www.biostat.wisc.edu/~vsingh/

【Action recognition】Can Humans Fly? Action Understanding With Multiple Classes of Actors

PDF: ./papers/Xu_Can_Humans_Fly_2015_CVPR_paper.pdf

Chenliang Xu:

Shao-Hang Hsieh:

Caiming Xiong:

Jason J. Corso:

【Action recognition】Learning a Non-Linear Knowledge Transfer Model for Cross-View Action Recognition

PDF: ./papers/Rahmani_Learning_a_Non-Linear_2015_CVPR_paper.pdf

Hossein Rahmani:

Ajmal Mian:

【Action recognition】Towards Force Sensing From Vision: Observing Hand-Object Interactions to Infer Manipulation Forces

PDF: ./papers/Pham_Towards_Force_Sensing_2015_CVPR_paper.pdf

Tu-Hoa Pham:

Abderrahmane Kheddar:

Ammar Qammaz:

Antonis A. Argyros:

【Action recognition】Video Summarization by Learning Submodular Mixtures of Objectives

PDF: ./papers/Gygli_Video_Summarization_by_2015_CVPR_paper.pdf

Michael Gygli:

Helmut Grabner: http://www.vision.ee.ethz.ch/~hegrabne/

Luc Van Gool: http://www.vision.ee.ethz.ch/

【Action recognition】Elastic Functional Coding of Human Actions: From Vector-Fields to Latent Variables

PDF: ./papers/Anirudh_Elastic_Functional_Coding_2015_CVPR_paper.pdf

Rushil Anirudh:

Pavan Turaga:

Jingyong Su:

Anuj Srivastava: http://www.stat.fsu.edu/~anuj/

【Action recognition】Interaction Part Mining: A Mid-Level Approach for Fine-Grained Action Recognition

PDF: ./papers/Zhou_Interaction_Part_Mining_2015_CVPR_paper.pdf

Yang Zhou:

Bingbing Ni:

Richang Hong:

Meng Wang:

Qi Tian: http://www.cs.utsa.edu/~qitian/

【Action recognition】Video Co-Summarization: Video Summarization by Visual Co-Occurrence

PDF: ./papers/Chu_Video_Co-Summarization_Video_2015_CVPR_paper.pdf

Wen-Sheng Chu:

Yale Song:

Alejandro Jaimes: http://www.alexjaimes.com/

【Action recognition】Motion Part Regularization: Improving Action Recognition via Trajectory Selection

PDF: ./papers/Ni_Motion_Part_Regularization_2015_CVPR_paper.pdf

Bingbing Ni:

Pierre Moulin:

Xiaokang Yang:

Shuicheng Yan: http://www.lv-nus.org/index.html

【Action recognition】Human Action Segmentation With Hierarchical Supervoxel Consistency

PDF: ./papers/Lu_Human_Action_Segmentation_2015_CVPR_paper.pdf

Jiasen Lu:

ran Xu:

Jason J. Corso:

【Action recognition】Action Recognition With Trajectory-Pooled Deep-Convolutional Descriptors

PDF: ./papers/Wang_Action_Recognition_With_2015_CVPR_paper.pdf

Limin Wang:

Yu Qiao:

Xiaoou Tang: http://mmlab.ie.cuhk.edu.hk/

【Action recognition】Watch-n-Patch: Unsupervised Understanding of Actions and Relations

PDF: ./papers/Wu_Watch-n-Patch_Unsupervised_Understanding_2015_CVPR_paper.pdf

Chenxia Wu:

Jiemi Zhang:

Silvio Savarese: http://cvgl.stanford.edu/silvio/

Ashutosh Saxena: http://www.cs.cornell.edu/~asaxena/

【Action recognition】Video Event Recognition With Deep Hierarchical Context Model

PDF: ./papers/Wang_Video_Event_Recognition_2015_CVPR_paper.pdf

Xiaoyang Wang:

Qiang Ji: http://www.ecse.rpi.edu/~qji/

【Action recognition】Joint Inference of Groups, Events and Human Roles in Aerial Videos

PDF: ./papers/Shu_Joint_Inference_of_2015_CVPR_paper.pdf

Tianmin Shu:

Dan Xie:

Brandon Rothrock:

Sinisa Todorovic: http://web.engr.oregonstate.edu/~sinisa/

Song Chun Zhu:

【Action recognition】Space-Time Tree Ensemble for Action Recognition

PDF: ./papers/Ma_Space-Time_Tree_Ensemble_2015_CVPR_paper.pdf

Shugao Ma:

Leonid Sigal:

Stan Sclaroff:

【Action recognition】TVSum: Summarizing Web Videos Using Titles

PDF: ./papers/Song_TVSum_Summarizing_Web_2015_CVPR_paper.pdf

Yale Song:

Jordi Vallmitjana:

Amanda Stent:

Alejandro Jaimes: http://www.alexjaimes.com/

【Action recognition】Visual Vibrometry: Estimating Material Properties From Small Motion in Video

PDF: ./papers/Davis_Visual_Vibrometry_Estimating_2015_CVPR_paper.pdf

Abe Davis:

Katherine L. Bouman:

Justin G. Chen:

Michael Rubinstein: http://people.csail.mit.edu/mrub/

Frédo Durand:

William T. Freeman:

【Action recognition】Jointly Learning Heterogeneous Features for RGB-D Activity Recognition

PDF: ./papers/Hu_Jointly_Learning_Heterogeneous_2015_CVPR_paper.pdf

Jian-Fang Hu:

Wei-Shi Zheng:

Jianhuang Lai:

Jianguo Zhang:

【Action recognition】Modeling Video Evolution for Action Recognition

PDF: ./papers/Fernando_Modeling_Video_Evolution_2015_CVPR_paper.pdf

Basura Fernando:

Efstratios Gavves:

José Oramas M.:

Amir Ghodrati:

Tinne Tuytelaars: http://homes.esat.kuleuven.be/~tuytelaa/

【Crowd analysis】Cross-Scene Crowd Counting via Deep Convolutional Neural Networks

PDF: ./papers/Zhang_Cross-Scene_Crowd_Counting_2015_CVPR_paper.pdf

Cong Zhang:

Hongsheng Li:

Xiaogang Wang: http://www.ee.cuhk.edu.hk/~xgwang/

Xiaokang Yang:

【Crowd analysis】The S-Hock Dataset: Analyzing Crowds at the Stadium

PDF: ./papers/Conigliaro_The_S-Hock_Dataset_2015_CVPR_paper.pdf

Davide Conigliaro:

Paolo Rota:

Francesco Setti:

Chiara Bassetti:

Nicola Conci:

Nicu Sebe:

Marco Cristani:

【Human detection】Combination Features and Models for Human Detection

PDF: ./papers/Jiang_Combination_Features_and_2015_CVPR_paper.pdf

Yunsheng Jiang:

Jinwen Ma:

【Human detection】Super-Resolution Person Re-Identification With Semi-Coupled Low-Rank Discriminant Dictionary Learning

PDF: ./papers/Jing_Super-Resolution_Person_Re-Identification_2015_CVPR_paper.pdf

Xiao-Yuan Jing:

Xiaoke Zhu:

Fei Wu:

Xinge You:

Qinglong Liu:

Dong Yue:

Ruimin Hu:

Baowen Xu:

【Human detection】Multispectral Pedestrian Detection: Benchmark Dataset and Baseline

PDF: ./papers/Hwang_Multispectral_Pedestrian_Detection_2015_CVPR_paper.pdf

Soonmin Hwang:

Jaesik Park:

Namil Kim:

Yukyung Choi:

In So Kweon: http://rcv.kaist.ac.kr/

【Human detection】Person Count Localization in Videos From Noisy Foreground and Detections

PDF: ./papers/Chen_Person_Count_Localization_2015_CVPR_paper.pdf

Sheng Chen:

Alan Fern:

Sinisa Todorovic: http://web.engr.oregonstate.edu/~sinisa/

【Human detection】Similarity Learning on an Explicit Polynomial Kernel Feature Map for Person Re-Identification

PDF: ./papers/Chen_Similarity_Learning_on_2015_CVPR_paper.pdf

Dapeng Chen:

Zejian Yuan:

Gang Hua:

Nanning Zheng:

Jingdong Wang:

【Human detection】Learning to Propose Objects

PDF: ./papers/Krahenbuhl_Learning_to_Propose_2015_CVPR_paper.pdf

Philipp Krähenbühl:

Vladlen Koltun: http://vladlen.info/publications/

【Human detection】Filtered Feature Channels for Pedestrian Detection

PDF: ./papers/Zhang_Filtered_Feature_Channels_2015_CVPR_paper.pdf

Shanshan Zhang:

Rodrigo Benenson: http://rodrigob.github.io/

Bernt Schiele: http://www.d2.mpi-inf.mpg.de/schiele/

【Human detection】Learning to Rank in Person Re-Identification With Metric Ensembles

PDF: ./papers/Paisitkriangkrai_Learning_to_Rank_2015_CVPR_paper.pdf

Sakrapee Paisitkriangkrai:

Chunhua Shen:

Anton van den Hengel:

【Human detection】Person Re-Identification by Local Maximal Occurrence Representation and Metric Learning

PDF: ./papers/Liao_Person_Re-Identification_by_2015_CVPR_paper.pdf

Shengcai Liao:

Yang Hu:

Xiangyu Zhu:

Stan Z. Li:

【Human detection】Learning Scene-Specific Pedestrian Detectors Without Real Data

PDF: ./papers/Hattori_Learning_Scene-Specific_Pedestrian_2015_CVPR_paper.pdf

Hironori Hattori:

Vishnu Naresh Boddeti:

Kris M. Kitani:

Takeo Kanade:

【Human detection】An Improved Deep Learning Architecture for Person Re-Identification

PDF: ./papers/Ahmed_An_Improved_Deep_2015_CVPR_paper.pdf

Ejaz Ahmed:

Michael Jones:

Tim K. Marks:

【Human detection】Taking a Deeper Look at Pedestrians

PDF: ./papers/Hosang_Taking_a_Deeper_2015_CVPR_paper.pdf

Jan Hosang:

Mohamed Omran:

Rodrigo Benenson: http://rodrigob.github.io/

Bernt Schiele: http://www.d2.mpi-inf.mpg.de/schiele/

【Human detection】Transferring a Semantic Representation for Person Re-Identification and Search

PDF: ./papers/Shi_Transferring_a_Semantic_2015_CVPR_paper.pdf

Zhiyuan Shi:

Timothy M. Hospedales:

Tao Xiang:

【Human detection】Pedestrian Detection Aided by Deep Learning Semantic Tasks

PDF: ./papers/Tian_Pedestrian_Detection_Aided_2015_CVPR_paper.pdf

Yonglong Tian:

Ping Luo:

Xiaogang Wang: http://www.ee.cuhk.edu.hk/~xgwang/

Xiaoou Tang: http://mmlab.ie.cuhk.edu.hk/

【Human detection】Ego-Surfing First-Person Videos

PDF: ./papers/Yonetani_Ego-Surfing_First-Person_Videos_2015_CVPR_paper.pdf

Ryo Yonetani:

Kris M. Kitani:

Yoichi Sato:

【Human detection】Fine-Grained Classification of Pedestrians in Video: Benchmark and State of the Art

PDF: ./papers/Hall_Fine-Grained_Classification_of_2015_CVPR_paper.pdf

David Hall:

Pietro Perona: http://vision.caltech.edu/Perona.html

【Human parsing】A Coarse-to-Fine Model for 3D Pose Estimation and Sub-Category Recognition

PDF: ./papers/Mottaghi_A_Coarse-to-Fine_Model_2015_CVPR_paper.pdf

Roozbeh Mottaghi: http://www.cs.stanford.edu/~roozbeh/

Yu Xiang:

Silvio Savarese: http://cvgl.stanford.edu/silvio/

【Human parsing】How Do We Use Our Hands? Discovering a Diverse Set of Common Grasps

PDF: ./papers/Huang_How_Do_We_2015_CVPR_paper.pdf

De-An Huang:

Minghuang Ma:

Wei-Chiu Ma:

Kris M. Kitani:

【Human parsing】Cascaded Hand Pose Regression

PDF: ./papers/Sun_Cascaded_Hand_Pose_2015_CVPR_paper.pdf

Xiao Sun:

Yichen Wei:

Shuang Liang:

Xiaoou Tang: http://mmlab.ie.cuhk.edu.hk/

Jian Sun: http://research.microsoft.com/en-us/groups/vc/

【Human parsing】Combining Local Appearance and Holistic View: Dual-Source Deep Neural Networks for Human Pose Estimation

PDF: ./papers/Fan_Combining_Local_Appearance_2015_CVPR_paper.pdf

Xiaochuan Fan:

Kang Zheng:

Yuewei Lin:

Song Wang:

【Human parsing】Matching-CNN Meets KNN: Quasi-Parametric Human Parsing

PDF: ./papers/Liu_Matching-CNN_Meets_KNN_2015_CVPR_paper.pdf

Si Liu:

Xiaodan Liang:

Luoqi Liu:

Xiaohui Shen:

Jianchao Yang: http://www.ifp.illinois.edu/~jyang29/

Changsheng Xu:

Liang Lin: http://ss.sysu.edu.cn/~ll/index.html

Xiaochun Cao:

Shuicheng Yan: http://www.lv-nus.org/index.html

【Human parsing】Absolute Pose for Cameras Under Flat Refractive Interfaces

PDF: ./papers/Haner_Absolute_Pose_for_2015_CVPR_paper.pdf

Sebastian Haner:

Kalle Åström:

【Human parsing】Pose-Conditioned Joint Angle Limits for 3D Human Pose Reconstruction

PDF: ./papers/Akhter_Pose-Conditioned_Joint_Angle_2015_CVPR_paper.pdf

Ijaz Akhter:

Michael J. Black:

【Human parsing】Unconstrained Realtime Facial Performance Capture

PDF: ./papers/Hsieh_Unconstrained_Realtime_Facial_2015_CVPR_paper.pdf

Pei-Lun Hsieh:

Chongyang Ma:

Jihun Yu:

Hao Li:

【Human parsing】Articulated Motion Discovery Using Pairs of Trajectories

PDF: ./papers/Pero_Articulated_Motion_Discovery_2015_CVPR_paper.pdf

Luca Del Pero:

Susanna Ricco:

Rahul Sukthankar:

Vittorio Ferrari: http://groups.inf.ed.ac.uk/calvin/index.html

【Human parsing】Random Tree Walk Toward Instantaneous 3D Human Pose Estimation

PDF: ./papers/Jung_Random_Tree_Walk_2015_CVPR_paper.pdf

Ho Yub Jung:

Soochahn Lee:

Yong Seok Heo:

Il Dong Yun:

【Human parsing】Learning an Efficient Model of Hand Shape Variation From Depth Images

PDF: ./papers/Khamis_Learning_an_Efficient_2015_CVPR_paper.pdf

Sameh Khamis:

Jonathan Taylor:

Jamie Shotton: http://research.microsoft.com/en-us/groups/vision/default.aspx

Cem Keskin:

Shahram Izadi:

Andrew Fitzgibbon:

【Human parsing】Unsupervised Learning of Complex Articulated Kinematic Structures Combining Motion and Skeleton Informatio

PDF: ./papers/Chang_Unsupervised_Learning_of_2015_CVPR_paper.pdf

Hyung Jin Chang:

Yiannis Demiris:

【Human parsing】Understanding Pedestrian Behaviors From Stationary Crowd Groups

PDF: ./papers/Yi_Understanding_Pedestrian_Behaviors_2015_CVPR_paper.pdf

Shuai Yi:

Hongsheng Li:

Xiaogang Wang: http://www.ee.cuhk.edu.hk/~xgwang/

【Human parsing】Parsing Occluded People by Flexible Compositions

PDF: ./papers/Chen_Parsing_Occluded_People_2015_CVPR_paper.pdf

Xianjie Chen:

Alan L. Yuille:

【Human parsing】First-Person Pose Recognition Using Egocentric Workspaces

PDF: ./papers/Rogez_First-Person_Pose_Recognition_2015_CVPR_paper.pdf

Grégory Rogez:

James S. Supančič III:

Deva Ramanan: http://www.ics.uci.edu/~dramanan/

【Human parsing】Deep Domain Adaptation for Describing People Based on Fine-Grained Clothing Attributes

PDF: ./papers/Chen_Deep_Domain_Adaptation_2015_CVPR_paper.pdf

Qiang Chen:

Junshi Huang:

Rogerio Feris: http://rogerioferis.com/

Lisa M. Brown:

Jian Dong:

Shuicheng Yan: http://www.lv-nus.org/index.html

【Human parsing】Active Pictorial Structures

PDF: ./papers/Antonakos_Active_Pictorial_Structures_2015_CVPR_paper.pdf

Epameinondas Antonakos:

Joan Alabort-i-Medina:

Stefanos Zafeiriou:

【Face recognition】Projection Metric Learning on Grassmann Manifold With Application to Video Based Face Recognition

PDF: ./papers/Huang_Projection_Metric_Learning_2015_CVPR_paper.pdf

Zhiwu Huang:

Ruiping Wang:

Shiguang Shan:

Xilin Chen:

【Face recognition】Shape Driven Kernel Adaptation in Convolutional Neural Network for Robust Facial Traits Recognition

PDF: ./papers/Li_Shape_Driven_Kernel_2015_CVPR_paper.pdf

Shaoxin Li:

Junliang Xing:

Zhiheng Niu:

Shiguang Shan:

Shuicheng Yan: http://www.lv-nus.org/index.html

【Face recognition】High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild

PDF: ./papers/Zhu_High-Fidelity_Pose_and_2015_CVPR_paper.pdf

Xiangyu Zhu:

Zhen Lei:

Junjie Yan:

Dong Yi:

Stan Z. Li:

【Face recognition】Face Net: A Unified Embedding for Face Recognition and Clustering

PDF: ./papers/Schroff_FaceNet_A_Unified_2015_CVPR_paper.pdf

Florian Schroff:

Dmitry Kalenichenko:

James Philbin:

【Face recognition】Discriminant Analysis on Riemannian Manifold of Gaussian Distributions for Face Recognition With Image Sets

PDF: ./papers/Wang_Discriminant_Analysis_on_2015_CVPR_paper.pdf

Wen Wang:

Ruiping Wang:

Zhiwu Huang:

Shiguang Shan:

Xilin Chen:

【Face recognition】Web-Scale Training for Face Identification

PDF: ./papers/Taigman_Web-Scale_Training_for_2015_CVPR_paper.pdf

Yaniv Taigman:

Ming Yang:

Marc’Aurelio Ranzato:

Lior Wolf:

【Face recognition】Beyond Principal Components: Deep Boltzmann Machines for Face Modeling

PDF: ./papers/Duong_Beyond_Principal_Components_2015_CVPR_paper.pdf

Chi Nhan Duong:

Khoa Luu:

Kha Gia Quach:

Tien D. Bui:

【Face recognition】A Maximum Entropy Feature Descriptor for Age Invariant Face Recognition

PDF: ./papers/Gong_A_Maximum_Entropy_2015_CVPR_paper.pdf

Dihong Gong:

Zhifeng Li:

Dacheng Tao:

Jianzhuang Liu:

Xuelong Li:

【Face detection】Rotating Your Face Using Multi-Task Deep Neural Network

PDF: ./papers/Yim_Rotating_Your_Face_2015_CVPR_paper.pdf

Junho Yim:

Heechul Jung:

Byung In Yoo:

Changkyu Choi:

Dusik Park:

Junmo Kim:

【Face detection】Pushing the Frontiers of Unconstrained Face Detection and Recognition: IARPA Janus Benchmark A

PDF: ./papers/Klare_Pushing_the_Frontiers_2015_CVPR_paper.pdf

Brendan F. Klare:

Ben Klein:

Emma Taborsky:

Austin Blanton:

Jordan Cheney:

Kristen Allen:

Patrick Grother:

Alan Mah:

Mark Burge:

Anil K. Jain:

【Face detection】Cross-Age Face Verification by Coordinating With Cross-Face Age Verification

PDF: ./papers/Du_Cross-Age_Face_Verification_2015_CVPR_paper.pdf

Liang Du:

Haibin Ling: http://www.dabi.temple.edu/~hbling/

【Face detection】Deeply Learned Face Representations Are Sparse, Selective, and Robust

PDF: ./papers/Sun_Deeply_Learned_Face_2015_CVPR_paper.pdf

Yi Sun:

Xiaogang Wang: http://www.ee.cuhk.edu.hk/~xgwang/

Xiaoou Tang: http://mmlab.ie.cuhk.edu.hk/

【Face detection】Hierarchical-PEP Model for Real-World Face Recognition

PDF: ./papers/Li_Hierarchical-PEP_Model_for_2015_CVPR_paper.pdf

Haoxiang Li:

Gang Hua:

【Face detection】A Convolutional Neural Network Cascade for Face Detection

PDF: ./papers/Li_A_Convolutional_Neural_2015_CVPR_paper.pdf

Haoxiang Li:

Zhe Lin: http://www.adobe.com/technology/people/san-jose/zhe-lin.html

Xiaohui Shen:

Jonathan Brandt:

Gang Hua:

【Face parsing】Latent Trees for Estimating Intensity of Facial Action Units

PDF: ./papers/Kaltwang_Latent_Trees_for_2015_CVPR_paper.pdf

Sebastian Kaltwang:

Sinisa Todorovic: http://web.engr.oregonstate.edu/~sinisa/

Maja Pantic: http://ibug.doc.ic.ac.uk/research

【Face parsing】Predicting Eye Fixations Using Convolutional Neural Networks

PDF: ./papers/Liu_Predicting_Eye_Fixations_2015_CVPR_paper.pdf

Nian Liu:

Junwei Han:

Dingwen Zhang:

Shifeng Wen:

Tianming Liu:

【Face parsing】Blind Optical Aberration Correction by Exploring Geometric and Visual Priors

PDF: ./papers/Yue_Blind_Optical_Aberration_2015_CVPR_paper.pdf

Tao Yue:

Jinli Suo:

Jue Wang: http://www.juew.org/

Xun Cao:

Qionghai Dai: http://media.au.tsinghua.edu.cn/people.jsp

【Face parsing】3D Model-Based Continuous Emotion Recognition

PDF: ./papers/Chen_3D_Model-Based_Continuous_2015_CVPR_paper.pdf

Hui Chen:

Jiangdong Li:

Fengjun Zhang:

Yang Li:

Hongan Wang:

【Face parsing】Joint Patch and Multi-Label Learning for Facial Action Unit Detection

PDF: ./papers/Zhao_Joint_Patch_and_2015_CVPR_paper.pdf

Kaili Zhao:

Wen-Sheng Chu:

Fernando De la Torre:

Jeffrey F. Cohn:

Honggang Zhang:

【Face parsing】Fixation Bank: Learning to Reweight Fixation Candidates

PDF: ./papers/Zhao_Fixation_Bank_Learning_2015_CVPR_paper.pdf

Jiaping Zhao:

Christian Siagian:

Laurent Itti: http://ilab.usc.edu/itti/

【Face parsing】Multi-Objective Convolutional Learning for Face Labeling

PDF: ./papers/Liu_Multi-Objective_Convolutional_Learning_2015_CVPR_paper.pdf

Sifei Liu:

Jimei Yang:

Chang Huang:

Ming-Hsuan Yang:

【Face parsing】Project-Out Cascaded Regression With an Application to Face Alignment

PDF: ./papers/Tzimiropoulos_Project-Out_Cascaded_Regression_2015_CVPR_paper.pdf

Georgios Tzimiropoulos:

【Face parsing】Appearance-Based Gaze Estimation in the Wild

PDF: ./papers/Zhang_Appearance-Based_Gaze_Estimation_2015_CVPR_paper.pdf

Xucong Zhang:

Yusuke Sugano:

Mario Fritz: https://scalable.mpi-inf.mpg.de/

Andreas Bulling:

【Face parsing】Shape-Based Automatic Detection of a Large Number of 3D Facial Landmarks

PDF: ./papers/Gilani_Shape-Based_Automatic_Detection_2015_CVPR_paper.pdf

Syed Zulqarnain Gilani:

Faisal Shafait:

Ajmal Mian:

【Face parsing】Real-Time 3D Head Pose and Facial Landmark Estimation From Depth Images Using Triangular Surface Patch Features

PDF: ./papers/Papazov_Real-Time_3D_Head_2015_CVPR_paper.pdf

Chavdar Papazov:

Tim K. Marks:

Michael Jones:

【Face parsing】Face Alignment by Coarse-to-Fine Shape Searching

PDF: ./papers/Zhu_Face_Alignment_by_2015_CVPR_paper.pdf

Shizhan Zhu:

Cheng Li:

Chen Change Loy: http://www.eecs.qmul.ac.uk/~ccloy/

Xiaoou Tang: http://mmlab.ie.cuhk.edu.hk/

【Object recognition】Deformable Part Models are Convolutional Neural Networks

PDF: ./papers/Girshick_Deformable_Part_Models_2015_CVPR_paper.pdf

Ross Girshick: http://www.cs.berkeley.edu/~rbg/

Forrest Iandola:

Trevor Darrell: http://www.eecs.berkeley.edu/~trevor/

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

【Object recognition】Building a Bird Recognition App and Large Scale Dataset With Citizen Scientists: The Fine Print in Fine-Grained Dataset Collection

PDF: ./papers/Horn_Building_a_Bird_2015_CVPR_paper.pdf

Grant Van Horn:

Steve Branson:

Ryan Farrell:

Scott Haber:

Jessie Barry:

Panos Ipeirotis:

Pietro Perona: http://vision.caltech.edu/Perona.html

Serge Belongie: http://vision.ucsd.edu/person/serge-belongie

【Object recognition】End-to-End Integration of a Convolution Network, Deformable Parts Model and Non-Maximum Suppression

PDF: ./papers/Wan_End-to-End_Integration_of_2015_CVPR_paper.pdf

Li Wan:

David Eigen:

Rob Fergus: http://cs.nyu.edu/~fergus/

【Object recognition】On the Relationship Between Visual Attributes and Convolutional Networks

PDF: ./papers/Escorcia_On_the_Relationship_2015_CVPR_paper.pdf

Victor Escorcia:

Juan Carlos Niebles:

Bernard Ghanem:

【Object recognition】Semi-Supervised Low-Rank Mapping Learning for Multi-Label Classification

PDF: ./papers/Jing_Semi-Supervised_Low-Rank_Mapping_2015_CVPR_paper.pdf

Liping Jing:

Liu Yang:

Jian Yu:

Michael K. Ng:

【Object recognition】Deep LAC: Deep Localization, Alignment and Classification for Fine-Grained Recognition

PDF: ./papers/Lin_Deep_LAC_Deep_2015_CVPR_paper.pdf

Di Lin:

Xiaoyong Shen:

Cewu Lu:

Jiaya Jia: http://www.cse.cuhk.edu.hk/leojia/

【Object recognition】Data-Driven 3D Voxel Patterns for Object Category Recognition

PDF: ./papers/Xiang_Data-Driven_3D_Voxel_2015_CVPR_paper.pdf

Yu Xiang:

Wongun Choi:

Yuanqing Lin:

Silvio Savarese: http://cvgl.stanford.edu/silvio/

【Object recognition】Semi-Supervised Domain Adaptation With Subspace Learning for Visual Recognition

PDF: ./papers/Yao_Semi-Supervised_Domain_Adaptation_2015_CVPR_paper.pdf

Ting Yao:

Yingwei Pan:

Chong-Wah Ngo:

Houqiang Li:

Tao Mei:

【Object recognition】Mind’s Eye: A Recurrent Visual Representation for Image Caption Generation

PDF: ./papers/Chen_Minds_Eye_A_2015_CVPR_paper.pdf

Xinlei Chen:

Lawrence Zitnick:

【Object recognition】Visual Recognition by Counting Instances: A Multi-Instance Cardinality Potential Kernel

PDF: ./papers/Hajimirsadeghi_Visual_Recognition_by_2015_CVPR_paper.pdf

Hossein Hajimirsadeghi:

Wang Yan:

Arash Vahdat:

Greg Mori: http://www.cs.sfu.ca/~mori/

【Object recognition】Long-Term Recurrent Convolutional Networks for Visual Recognition and Description

PDF: ./papers/Donahue_Long-Term_Recurrent_Convolutional_2015_CVPR_paper.pdf

Jeffrey Donahue:

Lisa Anne Hendricks:

Sergio Guadarrama:

Marcus Rohrbach:

Subhashini Venugopalan:

Kate Saenko:

Trevor Darrell: http://www.eecs.berkeley.edu/~trevor/

【Object recognition】Zero-Shot Object Recognition by Semantic Manifold Distance

PDF: ./papers/Fu_Zero-Shot_Object_Recognition_2015_CVPR_paper.pdf

Zhenyong Fu:

Tao Xiang:

Elyor Kodirov:

Shaogang Gong: http://www.eecs.qmul.ac.uk/~sgg/

【Object recognition】Visual Recognition by Learning From Web Data: A Weakly Supervised Domain Generalization Approach

PDF: ./papers/Niu_Visual_Recognition_by_2015_CVPR_paper.pdf

Li Niu:

Wen Li:

Dong Xu: http://www.ntu.edu.sg/home/dongxu/

【Object recognition】Understanding Tools: Task-Oriented Object Modeling, Learning and Recognition

PDF: ./papers/Zhu_Understanding_Tools_Task-Oriented_2015_CVPR_paper.pdf

Yixin Zhu:

Yibiao Zhao:

Song Chun Zhu:

【Object recognition】Deep Roto-Translation Scattering for Object Classification

PDF: ./papers/Oyallon_Deep_Roto-Translation_Scattering_2015_CVPR_paper.pdf

Edouard Oyallon:

Stéphane Mallat:

【Object recognition】Recurrent Convolutional Neural Network for Object Recognition

PDF: ./papers/Liang_Recurrent_Convolutional_Neural_2015_CVPR_paper.pdf

Ming Liang:

Xiaolin Hu:

【Object recognition】DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural Nets

PDF: ./papers/Shankar_DEEP-CARVING_Discovering_Visual_2015_CVPR_paper.pdf

Sukrit Shankar:

Vikas K. Garg:

Roberto Cipolla: http://mi.eng.cam.ac.uk/~cipolla/index.htm

【Object recognition】Automatically Discovering Local Visual Material Attributes

PDF: ./papers/Schwartz_Automatically_Discovering_Local_2015_CVPR_paper.pdf

Gabriel Schwartz:

Ko Nishino:

【Object recognition】A Large-Scale Car Dataset for Fine-Grained Categorization and Verification

PDF: ./papers/Yang_A_Large-Scale_Car_2015_CVPR_paper.pdf

Linjie Yang:

Ping Luo:

Chen Change Loy: http://www.eecs.qmul.ac.uk/~ccloy/

Xiaoou Tang: http://mmlab.ie.cuhk.edu.hk/

【Object recognition】Modeling Object Appearance Using Context-Conditioned Component Analysis

PDF: ./papers/Turmukhambetov_Modeling_Object_Appearance_2015_CVPR_paper.pdf

Daniyar Turmukhambetov:

Neill D.F. Campbell:

Simon J.D. Prince:

Jan Kautz:

【Object recognition】Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances

PDF: ./papers/Kading_Active_Learning_and_2015_CVPR_paper.pdf

Christoph Käding:

Alexander Freytag:

Erik Rodner:

Paul Bodesheim:

Joachim Denzler:

【Object recognition】Efficient Label Collection for Unlabeled Image Datasets

PDF: ./papers/Wigness_Efficient_Label_Collection_2015_CVPR_paper.pdf

Maggie Wigness:

Bruce A. Draper:

Ross Beveridge:

【Object recognition】Beyond Frontal Faces: Improving Person Recognition Using Multiple Cues

PDF: ./papers/Zhang_Beyond_Frontal_Faces_2015_CVPR_paper.pdf

Ning Zhang:

Manohar Paluri:

Yaniv Taigman:

Rob Fergus: http://cs.nyu.edu/~fergus/

Lubomir Bourdev:

【Object recognition】Fine-Grained Recognition Without Part Annotations

PDF: ./papers/Krause_Fine-Grained_Recognition_Without_2015_CVPR_paper.pdf

Jonathan Krause:

Hailin Jin: http://vision.ucla.edu/~hljin/

Jianchao Yang: http://www.ifp.illinois.edu/~jyang29/

Li Fei-Fei:

【Object detection】Expanding Object Detector’s Horizon: Incremental Learning Framework for Object Detection in Videos

PDF: ./papers/Kuznetsova_Expanding_Object_Detectors_2015_CVPR_paper.pdf

Alina Kuznetsova:

Sung Ju Hwang:

Bodo Rosenhahn:

Leonid Sigal:

【Object detection】Improving Object Detection With Deep Convolutional Networks via Bayesian Optimization and Structured Prediction

PDF: ./papers/Zhang_Improving_Object_Detection_2015_CVPR_paper.pdf

Yuting Zhang:

Kihyuk Sohn:

Ruben Villegas:

Gang Pan:

Honglak Lee: http://web.eecs.umich.edu/~honglak/

【Object detection】Modeling Local and Global Deformations in Deep Learning: Epitomic Convolution, Multiple Instance Learning, and Sliding Window Detection

PDF: ./papers/Papandreou_Modeling_Local_and_2015_CVPR_paper.pdf

George Papandreou: http://www.stat.ucla.edu/~gpapan/index.html

Iasonas Kokkinos: http://cvn.ecp.fr/personnel/iasonas/index.html

Pierre-André Savalle:

【Object detection】Efficient Object Localization Using Convolutional Networks

PDF: ./papers/Tompson_Efficient_Object_Localization_2015_CVPR_paper.pdf

Jonathan Tompson:

Ross Goroshin:

Arjun Jain:

Yann Le Cun:

Christoph Bregler:

【Object detection】Is Object Localization for Free? – Weakly-Supervised Learning With Convolutional Neural Networks

PDF: ./papers/Oquab_Is_Object_Localization_2015_CVPR_paper.pdf

Maxime Oquab:

Léon Bottou:

Ivan Laptev: http://www.di.ens.fr/~laptev/index.html

Josef Sivic:

【Object detection】Adaptive Region Pooling for Object Detection

PDF: ./papers/Tsai_Adaptive_Region_Pooling_2015_CVPR_paper.pdf

Yi-Hsuan Tsai:

Onur C. Hamsici:

Ming-Hsuan Yang:

【Object detection】Weakly Supervised Object Detection With Convex Clustering

PDF: ./papers/Bilen_Weakly_Supervised_Object_2015_CVPR_paper.pdf

Hakan Bilen:

Marco Pedersoli:

Tinne Tuytelaars: http://homes.esat.kuleuven.be/~tuytelaa/

【Object detection】Learning Coarse-to-Fine Sparselets for Efficient Object Detection and Scene Classification

PDF: ./papers/Cheng_Learning_Coarse-to-Fine_Sparselets_2015_CVPR_paper.pdf

Gong Cheng:

Junwei Han:

Lei Guo:

Tianming Liu:

【Object detection】Unsupervised Object Discovery and Localization in the Wild: Part-Based Matching With Bottom-Up Region Proposal

PDF: ./papers/Cho_Unsupervised_Object_Discovery_2015_CVPR_paper.pdf

Minsu Cho:

Suha Kwak:

Cordelia Schmid: http://lear.inrialpes.fr/~schmid/

Jean Ponce: http://www.di.ens.fr/willow/

【Object detection】Large-Scale Damage Detection Using Satellite Imagery

PDF: ./papers/Gueguen_Large-Scale_Damage_Detection_2015_CVPR_paper.pdf

Lionel Gueguen:

Raffay Hamid:

【Object detection】Basis Mapping Based Boosting for Object Detection

PDF: ./papers/Ren_Basis_Mapping_Based_2015_CVPR_paper.pdf

Haoyu Ren:

Ze-Nian Li:

【Object detection】Model Recommendation: Generating Object Detectors From Few Samples

PDF: ./papers/Wang_Model_Recommendation_Generating_2015_CVPR_paper.pdf

Yu-Xiong Wang:

Martial Hebert: http://www.cs.cmu.edu/~hebert/

【Object detection】Deep ID-Net: Deformable Deep Convolutional Neural Networks for Object Detection

PDF: ./papers/Ouyang_DeepID-Net_Deformable_Deep_2015_CVPR_paper.pdf

Wanli Ouyang: http://www.ee.cuhk.edu.hk/~wlouyang/

Xiaogang Wang: http://www.ee.cuhk.edu.hk/~xgwang/

Xingyu Zeng:

Shi Qiu:

Ping Luo:

Yonglong Tian:

Hongsheng Li:

Shuo Yang:

Zhe Wang:

Chen-Change Loy:

Xiaoou Tang: http://mmlab.ie.cuhk.edu.hk/

【Object detection】Enriching Object Detection With 2D-3D Registration and Continuous Viewpoint Estimation

PDF: ./papers/Choy_Enriching_Object_Detection_2015_CVPR_paper.pdf

Christopher Bongsoo Choy:

Michael Stark:

Sam Corbett-Davies:

Silvio Savarese: http://cvgl.stanford.edu/silvio/

【Object detection】Representing 3D Texture on Mesh Manifolds for Retrieval and Recognition Applications

PDF: ./papers/Werghi_Representing_3D_Texture_2015_CVPR_paper.pdf

Naoufel Werghi:

Claudio Tortorici:

Stefano Berretti:

Alberto Del Bimbo:

【Object detection】Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning

PDF: ./papers/Hoffman_Detector_Discovery_in_2015_CVPR_paper.pdf

Judy Hoffman:

Deepak Pathak:

Trevor Darrell: http://www.eecs.berkeley.edu/~trevor/

Kate Saenko:

【Object detection】Towards 3D Object Detection With Bimodal Deep Boltzmann Machines Over RGBD Imagery

PDF: ./papers/Liu_Towards_3D_Object_2015_CVPR_paper.pdf

Wei Liu:

Rongrong Ji:

Shaozi Li:

【Object detection】An Active Search Strategy for Efficient Object Class Detection

PDF: ./papers/Gonzalez-Garcia_An_Active_Search_2015_CVPR_paper.pdf

Abel Gonzalez-Garcia:

Alexander Vezhnevets:

Vittorio Ferrari: http://groups.inf.ed.ac.uk/calvin/index.html

【Object detection】Watch and Learn: Semi-Supervised Learning for Object Detectors From Video

PDF: ./papers/Misra_Watch_and_Learn_2015_CVPR_paper.pdf

Ishan Misra:

Abhinav Shrivastava:

Martial Hebert: http://www.cs.cmu.edu/~hebert/

【Object detection】Small Instance Detection by Integer Programming on Object Density Maps

PDF: ./papers/Ma_Small_Instance_Detection_2015_CVPR_paper.pdf

Zheng Ma:

Lei Yu:

Antoni B. Chan: http://www.cs.cityu.edu.hk/~abchan/

【Object detection】Scalable Object Detection by Filter Compression With Regularized Sparse Coding

PDF: ./papers/Chao_Scalable_Object_Detection_2015_CVPR_paper.pdf

Ting-Hsuan Chao:

Yen-Liang Lin:

Yin-Hsi Kuo:

Winston H. Hsu:

【Object detection】Flying Objects Detection From a Single Moving Camera

PDF: ./papers/Rozantsev_Flying_Objects_Detection_2015_CVPR_paper.pdf

Artem Rozantsev:

Vincent Lepetit: http://cvlabwww.epfl.ch/~lepetit/

Pascal Fua: http://cvlabwww.epfl.ch/~fua/

【Object detection】Weakly Supervised Localization of Novel Objects Using Appearance Transfer

PDF: ./papers/Rochan_Weakly_Supervised_Localization_2015_CVPR_paper.pdf

Mrigank Rochan:

Yang Wang:

【Object detection】seg Deep M: Exploiting Segmentation and Context in Deep Neural Networks for Object Detection

PDF: ./papers/Zhu_segDeepM_Exploiting_Segmentation_2015_CVPR_paper.pdf

Yukun Zhu:

Raquel Urtasun: http://www.cs.toronto.edu/~urtasun/

Ruslan Salakhutdinov: http://www.cs.toronto.edu/~rsalakhu/

Sanja Fidler:

【Object detection】Object Detection by Labeling Superpixels

PDF: ./papers/Yan_Object_Detection_by_2015_CVPR_paper.pdf

Junjie Yan:

Yinan Yu:

Xiangyu Zhu:

Zhen Lei:

Stan Z. Li:

【Saliency detection】Traditional Saliency Reloaded: A Good Old Model in New Shape

PDF: ./papers/Frintrop_Traditional_Saliency_Reloaded_2015_CVPR_paper.pdf

Simone Frintrop: http://www.iai.uni-bonn.de/~frintrop/projects.html

Thomas Werner:

Germán Martin Garcia:

【Saliency detection】Saliency Detection via Cellular Automata

PDF: ./papers/Qin_Saliency_Detection_via_2015_CVPR_paper.pdf

Yao Qin:

Huchuan Lu: http://ice.dlut.edu.cn/lu/index.html

Yiqun Xu:

He Wang:

【Saliency detection】Complexity-Adaptive Distance Metric for Object Proposals Generation

PDF: ./papers/Xiao_Complexity-Adaptive_Distance_Metric_2015_CVPR_paper.pdf

Yao Xiao:

Cewu Lu:

Efstratios Tsougenis:

Yongyi Lu:

Chi-Keung Tang:

【Saliency detection】SALICON: Saliency in Context

PDF: ./papers/Jiang_SALICON_Saliency_in_2015_CVPR_paper.pdf

Ming Jiang:

Shengsheng Huang:

Juanyong Duan:

Qi Zhao:

【Saliency detection】Saliency Detection by Multi-Context Deep Learning

PDF: ./papers/Zhao_Saliency_Detection_by_2015_CVPR_paper.pdf

Rui Zhao:

Wanli Ouyang: http://www.ee.cuhk.edu.hk/~wlouyang/

Hongsheng Li:

Xiaogang Wang: http://www.ee.cuhk.edu.hk/~xgwang/

【Saliency detection】Salient Object Detection via Bootstrap Learning

PDF: ./papers/Tong_Salient_Object_Detection_2015_CVPR_paper.pdf

Na Tong:

Huchuan Lu: http://ice.dlut.edu.cn/lu/index.html

Xiang Ruan:

Ming-Hsuan Yang:

【Saliency detection】Encoding Based Saliency Detection for Videos and Images

PDF: ./papers/Mauthner_Encoding_Based_Saliency_2015_CVPR_paper.pdf

Thomas Mauthner:

Horst Possegger:

Georg Waltner:

Horst Bischof: http://www.icg.tugraz.at/Members/bischof

【Saliency detection】Saliency Propagation From Simple to Difficult

PDF: ./papers/Gong_Saliency_Propagation_From_2015_CVPR_paper.pdf

Chen Gong:

Dacheng Tao:

Wei Liu:

Stephen J. Maybank:

Meng Fang:

Keren Fu:

Jie Yang:

【Saliency detection】Improving Object Proposals With Multi-Thresholding Straddling Expansion

PDF: ./papers/Chen_Improving_Object_Proposals_2015_CVPR_paper.pdf

Xiaozhi Chen:

Huimin Ma:

Xiang Wang:

Zhichen Zhao:

【Saliency detection】Robust Saliency Detection via Regularized Random Walks Ranking

PDF: ./papers/Li_Robust_Saliency_Detection_2015_CVPR_paper.pdf

Changyang Li:

Yuchen Yuan:

Weidong:

Cai:

Yong Xia:

David Dagan Feng:

【Saliency detection】Dynamically Encoded Actions Based on Spacetime Saliency

PDF: ./papers/Feichtenhofer_Dynamically_Encoded_Actions_2015_CVPR_paper.pdf

Christoph Feichtenhofer:

Axel Pinz:

Richard P. Wildes:

【Saliency detection】Video Anomaly Detection and Localization Using Hierarchical Feature Representation and Gaussian Process Regression

PDF: ./papers/Cheng_Video_Anomaly_Detection_2015_CVPR_paper.pdf

Kai-Wen Cheng:

Yie-Tarng Chen:

Wen-Hsien Fang:

【Saliency detection】Co-Saliency Detection via Looking Deep and Wide

PDF: ./papers/Zhang_Co-Saliency_Detection_via_2015_CVPR_paper.pdf

Dingwen Zhang:

Junwei Han:

Chao Li:

Jingdong Wang:

【Saliency detection】Deep Networks for Saliency Detection via Local Estimation and Global Search

PDF: ./papers/Wang_Deep_Networks_for_2015_CVPR_paper.pdf

Lijun Wang:

Huchuan Lu: http://ice.dlut.edu.cn/lu/index.html

Xiang Ruan:

Ming-Hsuan Yang:

【Saliency detection】Salient Object Subitizing

PDF: ./papers/Zhang_Salient_Object_Subitizing_2015_CVPR_paper.pdf

Jianming Zhang:

Shugao Ma:

Mehrnoosh Sameki:

Stan Sclaroff:

Margrit Betke:

Zhe Lin: http://www.adobe.com/technology/people/san-jose/zhe-lin.html

Xiaohui Shen:

Brian Price:

Radomír Mĕch:

【Saliency detection】Social Saliency Prediction

PDF: ./papers/Park_Social_Saliency_Prediction_2015_CVPR_paper.pdf

Hyun Soo Park:

Jianbo Shi: http://www.cis.upenn.edu/~jshi/

【Saliency detection】VIP: Finding Important People in Images

PDF: ./papers/Mathialagan_VIP_Finding_Important_2015_CVPR_paper.pdf

Clint Solomon Mathialagan:

Andrew C. Gallagher:

Dhruv Batra:

【Saliency detection】Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction

PDF: ./papers/Luo_Label_Consistent_Quadratic_2015_CVPR_paper.pdf

Yan Luo:

Yongkang Wong:

Qi Zhao:

【Saliency detection】A Weighted Sparse Coding Framework for Saliency Detection

PDF: ./papers/Li_A_Weighted_Sparse_2015_CVPR_paper.pdf

Nianyi Li:

Bilin Sun:

Jingyi Yu:

【Saliency detection】Visual Saliency Based on Multiscale Deep Features

PDF: ./papers/Li_Visual_Saliency_Based_2015_CVPR_paper.pdf

Guanbin Li:

Yizhou Yu: http://i.cs.hku.hk/~yzyu/

【Saliency detection】How Many Bits Does it Take for a Stimulus to Be Salient?

PDF: ./papers/Khatoonabadi_How_Many_Bits_2015_CVPR_paper.pdf

Sayed Hossein Khatoonabadi:

Nuno Vasconcelos: http://www.svcl.ucsd.edu/

Ivan V. Bajic:

Yufeng Shan:

【Scene recognition】From Categories to Subcategories: Large-Scale Image Classification With Partial Class Label Refinement

PDF: ./papers/Ristin_From_Categories_to_2015_CVPR_paper.pdf

Marko Ristin:

Juergen Gall: http://www.iai.uni-bonn.de/~gall/

Matthieu Guillaumin:

Luc Van Gool: http://www.vision.ee.ethz.ch/

【Scene recognition】Learning Hypergraph-Regularized Attribute Predictors

PDF: ./papers/Huang_Learning_Hypergraph-Regularized_Attribute_2015_CVPR_paper.pdf

Sheng Huang:

Mohamed Elhoseiny:

Ahmed Elgammal:

Dan Yang:

【Scene recognition】Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images

PDF: ./papers/Nguyen_Deep_Neural_Networks_2015_CVPR_paper.pdf

Anh Nguyen:

Jason Yosinski:

Jeff Clune:

【Scene recognition】The Application of Two-Level Attention Models in Deep Convolutional Neural Network for Fine-Grained Image Classification

PDF: ./papers/Xiao_The_Application_of_2015_CVPR_paper.pdf

Tianjun Xiao:

Yichong Xu:

Kuiyuan Yang:

Jiaxing Zhang:

Yuxin Peng:

Zheng Zhang:

【Scene recognition】Understanding Image Representations by Measuring Their Equivariance and Equivalence

PDF: ./papers/Lenc_Understanding_Image_Representations_2015_CVPR_paper.pdf

Karel Lenc:

Andrea Vedaldi: http://www.robots.ox.ac.uk/~vedaldi/index.html

【Scene recognition】Multi-Manifold Deep Metric Learning for Image Set Classification

PDF: ./papers/Lu_Multi-Manifold_Deep_Metric_2015_CVPR_paper.pdf

Jiwen Lu:

Gang Wang:

Weihong Deng:

Pierre Moulin:

Jie Zhou:

【Scene recognition】Joint Multi-Feature Spatial Context for Scene Recognition on the Semantic Manifold

PDF: ./papers/Song_Joint_Multi-Feature_Spatial_2015_CVPR_paper.pdf

Xinhang Song:

Shuqiang Jiang:

Luis Herranz:

【Scene recognition】A Novel Locally Linear KNN Model for Visual Recognition

PDF: ./papers/Liu_A_Novel_Locally_2015_CVPR_paper.pdf

Qingfeng Liu:

Chengjun Liu:

【Scene recognition】Concept Learner: Discovering Visual Concepts From Weakly Labeled Image Collections

PDF: ./papers/Zhou_ConceptLearner_Discovering_Visual_2015_CVPR_paper.pdf

Bolei Zhou:

Vignesh Jagadeesh:

Robinson Piramuthu:

【Scene recognition】24/7 Place Recognition by View Synthesis

PDF: ./papers/Torii_247_Place_Recognition_2015_CVPR_paper.pdf

Akihiko Torii:

Relja Arandjelović:

Josef Sivic:

Masatoshi Okutomi:

Tomas Pajdla:

【Scene recognition】Book2Movie: Aligning Video Scenes With Book Chapters

PDF: ./papers/Tapaswi_Book2Movie_Aligning_Video_2015_CVPR_paper.pdf

Makarand Tapaswi:

Martin Bäuml:

Rainer Stiefelhagen:

【Scene recognition】Feature-Independent Context Estimation for Automatic Image Annotation

PDF: ./papers/Tariq_Feature-Independent_Context_Estimation_2015_CVPR_paper.pdf

Amara Tariq:

Hassan Foroosh:

【Scene recognition】Dev Net: A Deep Event Network for Multimedia Event Detection and Evidence Recounting

PDF: ./papers/Gan_DevNet_A_Deep_2015_CVPR_paper.pdf

Chuang Gan:

Naiyan Wang:

Yi Yang: http://www.cs.cmu.edu/~yiyang/

Dit-Yan Yeung: http://www.cse.ust.hk/~dyyeung/www/Home.html

Alex G. Hauptmann:

【Scene recognition】Hyper-Class Augmented and Regularized Deep Learning for Fine-Grained Image Classification

PDF: ./papers/Xie_Hyper-Class_Augmented_and_2015_CVPR_paper.pdf

Saining Xie:

Tianbao Yang:

Xiaoyu Wang:

Yuanqing Lin:

【Scene recognition】Practical Robust Two-View Translation Estimation

PDF: ./papers/Fredriksson_Practical_Robust_Two-View_2015_CVPR_paper.pdf

Johan Fredriksson:

Viktor Larsson:

Carl Olsson:

【Scene recognition】Learning From Massive Noisy Labeled Data for Image Classification

PDF: ./papers/Xiao_Learning_From_Massive_2015_CVPR_paper.pdf

Tong Xiao:

Tian Xia:

Yi Yang: http://www.cs.cmu.edu/~yiyang/

Chang Huang:

Xiaogang Wang: http://www.ee.cuhk.edu.hk/~xgwang/

【Scene recognition】Evaluation of Output Embeddings for Fine-Grained Image Classification

PDF: ./papers/Akata_Evaluation_of_Output_2015_CVPR_paper.pdf

Zeynep Akata:

Scott Reed:

Daniel Walter:

Honglak Lee: http://web.eecs.umich.edu/~honglak/

Bernt Schiele: http://www.d2.mpi-inf.mpg.de/schiele/

【Scene recognition】Supervised Mid-Level Features for Word Image Representation

PDF: ./papers/Gordo_Supervised_Mid-Level_Features_2015_CVPR_paper.pdf

Albert Gordo:

【Scene recognition】Scene Classification With Semantic Fisher Vectors

PDF: ./papers/Dixit_Scene_Classification_With_2015_CVPR_paper.pdf

Mandar Dixit:

Si Chen:

Dashan Gao:

Nikhil Rasiwasia:

Nuno Vasconcelos: http://www.svcl.ucsd.edu/

【Scene recognition】Deep Correlation for Matching Images and Text

PDF: ./papers/Yan_Deep_Correlation_for_2015_CVPR_paper.pdf

Fei Yan:

Krystian Mikolajczyk:

【Scene recognition】Deep Multiple Instance Learning for Image Classification and Auto-Annotation

PDF: ./papers/Wu_Deep_Multiple_Instance_2015_CVPR_paper.pdf

Jiajun Wu:

Yinan Yu:

Chang Huang:

Kai Yu: http://idl.baidu.com/en/index.html

【Scene recognition】Learning Graph Structure for Multi-Label Image Classification via Clique Generation

PDF: ./papers/Tan_Learning_Graph_Structure_2015_CVPR_paper.pdf

Mingkui Tan:

Qinfeng Shi:

Anton van den Hengel:

Chunhua Shen:

Junbin Gao:

Fuyuan Hu:

Zhen Zhang:

【Scene recognition】Optimal Graph Learning With Partial Tags and Multiple Features for Image and Video Annotation

PDF: ./papers/Gao_Optimal_Graph_Learning_2015_CVPR_paper.pdf

Lianli Gao:

Jingkuan Song:

Feiping Nie:

Yan Yan:

Nicu Sebe:

Heng Tao Shen:

【Scene recognition】Deeply Learned Attributes for Crowded Scene Understanding

PDF: ./papers/Shao_Deeply_Learned_Attributes_2015_CVPR_paper.pdf

Jing Shao:

Kai Kang:

Chen Change Loy: http://www.eecs.qmul.ac.uk/~ccloy/

Xiaogang Wang: http://www.ee.cuhk.edu.hk/~xgwang/

【Scene recognition】Beyond Short Snippets: Deep Networks for Video Classification

PDF: ./papers/Ng_Beyond_Short_Snippets_2015_CVPR_paper.pdf

Joe Yue-Hei Ng:

Matthew Hausknecht:

Sudheendra Vijayanarasimhan:

Oriol Vinyals:

Rajat Monga:

George Toderici:

【Scene recognition】The Treasure Beneath Convolutional Layers: Cross-Convolutional-Layer Pooling for Image Classification

PDF: ./papers/Liu_The_Treasure_Beneath_2015_CVPR_paper.pdf

Lingqiao Liu:

Chunhua Shen:

Anton van den Hengel:

【Text recognition】Symmetry-Based Text Line Detection in Natural Scenes

PDF: ./papers/Zhang_Symmetry-Based_Text_Line_2015_CVPR_paper.pdf

Zheng Zhang:

Wei Shen:

Cong Yao:

Xiang Bai:

【Image retrieval】Attributes and Categories for Generic Instance Search From One Example

PDF: ./papers/Tao_Attributes_and_Categories_2015_CVPR_paper.pdf

Ran Tao:

Arnold W.M. Smeulders:

Shih-Fu Chang: http://www.ee.columbia.edu/ln/dvmm/

【Image retrieval】Mapping Visual Features to Semantic Profiles for Retrieval in Medical Imaging

PDF: ./papers/Hofmanninger_Mapping_Visual_Features_2015_CVPR_paper.pdf

Johannes Hofmanninger:

Georg Langs:

【Image retrieval】Early Burst Detection for Memory-Efficient Image Retrieval

PDF: ./papers/Shi_Early_Burst_Detection_2015_CVPR_paper.pdf

Miaojing Shi:

Yannis Avrithis:

Hervé Jégou:

【Image retrieval】Interleaved Text/Image Deep Mining on a Very Large-Scale Radiology Database

PDF: ./papers/Shin_Interleaved_TextImage_Deep_2015_CVPR_paper.pdf

Hoo-Chang Shin:

Le Lu:

Lauren Kim:

Ari Seff:

Jianhua Yao:

Ronald M. Summers:

【Image retrieval】Computationally Bounded Retrieval

PDF: ./papers/Rastegari_Computationally_Bounded_Retrieval_2015_CVPR_paper.pdf

Mohammad Rastegari:

Cem Keskin:

Pushmeet Kohli: http://research.microsoft.com/en-us/um/people/pkohli/

Shahram Izadi:

【Image retrieval】Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval

PDF: ./papers/Zhao_Deep_Semantic_Ranking_2015_CVPR_paper.pdf

Fang Zhao:

Yongzhen Huang:

Liang Wang:

Tieniu Tan:

【Image retrieval】Query-Adaptive Late Fusion for Image Search and Person Re-Identification

PDF: ./papers/Zheng_Query-Adaptive_Late_Fusion_2015_CVPR_paper.pdf

Liang Zheng:

Shengjin Wang:

Lu Tian:

Fei He:

Ziqiong Liu:

Qi Tian: http://www.cs.utsa.edu/~qitian/

【Image retrieval】Sketch-Based 3D Shape Retrieval Using Convolutional Neural Networks

PDF: ./papers/Wang_Sketch-Based_3D_Shape_2015_CVPR_paper.pdf

Fang Wang:

Le Kang:

Yi Li: http://users.cecs.anu.edu.au/~yili/

【Image retrieval】New Insights Into Laplacian Similarity Search

PDF: ./papers/Wu_New_Insights_Into_2015_CVPR_paper.pdf

Xiao-Ming Wu:

Zhenguo Li:

Shih-Fu Chang: http://www.ee.columbia.edu/ln/dvmm/

【Image retrieval】Ranking and Retrieval of Image Sequences From Multiple Paragraph Queries

PDF: ./papers/Kim_Ranking_and_Retrieval_2015_CVPR_paper.pdf

Gunhee Kim: http://www.cs.cmu.edu/~gunhee/index.html

Seungwhan Moon:

Leonid Sigal:

【Image retrieval】Joint Photo Stream and Blog Post Summarization and Exploration

PDF: ./papers/Kim_Joint_Photo_Stream_2015_CVPR_paper.pdf

Gunhee Kim: http://www.cs.cmu.edu/~gunhee/index.html

Seungwhan Moon:

Leonid Sigal:

【Image retrieval】Learning a Sequential Search for Landmarks

PDF: ./papers/Singh_Learning_a_Sequential_2015_CVPR_paper.pdf

Saurabh Singh:

Derek Hoiem: http://www.cs.illinois.edu/~dhoiem/

David Forsyth: http://luthuli.cs.uiuc.edu/~daf/

【Image retrieval】FAemb: A Function Approximation-Based Embedding Method for Image Retrieval

PDF: ./papers/Do_FAemb_A_Function_2015_CVPR_paper.pdf

Thanh-Toan Do:

Quang D. Tran:

Ngai-Man Cheung:

【Image retrieval】Image Retrieval Using Scene Graphs

PDF: ./papers/Johnson_Image_Retrieval_Using_2015_CVPR_paper.pdf

Justin Johnson:

Ranjay Krishna:

Michael Stark:

Li-Jia Li:

David Shamma:

Michael Bernstein:

Li Fei-Fei:

【Image retrieval】Semantics-Preserving Hashing for Cross-View Retrieval

PDF: ./papers/Lin_Semantics-Preserving_Hashing_for_2015_CVPR_paper.pdf

Zijia Lin:

Guiguang Ding:

Mingqing Hu:

Jianmin Wang:

【Image retrieval】Time-to-Contact From Image Intensity

PDF: ./papers/Watanabe_Time-to-Contact_From_Image_2015_CVPR_paper.pdf

Yukitoshi Watanabe:

Fumihiko Sakaue:

Jun Sato:

【Image retrieval】Tree Quantization for Large-Scale Similarity Search and Classification

PDF: ./papers/Babenko_Tree_Quantization_for_2015_CVPR_paper.pdf

Artem Babenko:

Victor Lempitsky:

【Image retrieval】Dataset Fingerprints: Exploring Image Collections Through Data Mining

PDF: ./papers/Rematas_Dataset_Fingerprints_Exploring_2015_CVPR_paper.pdf

Konstantinos Rematas:

Basura Fernando:

Frank Dellaert:

Tinne Tuytelaars: http://homes.esat.kuleuven.be/~tuytelaa/

【Image retrieval】Revisiting Kernelized Locality-Sensitive Hashing for Improved Large-Scale Image Retrieval

PDF: ./papers/Jiang_Revisiting_Kernelized_Locality-Sensitive_2015_CVPR_paper.pdf

Ke Jiang:

Qichao Que:

Brian Kulis:

【Image retrieval】Pairwise Geometric Matching for Large-Scale Object Retrieval

PDF: ./papers/Li_Pairwise_Geometric_Matching_2015_CVPR_paper.pdf

Xinchao Li:

Martha Larson:

Alan Hanjalic:

【Image retrieval】Fine-Grained Histopathological Image Analysis via Robust Segmentation and Large-Scale Retrieval

PDF: ./papers/Zhang_Fine-Grained_Histopathological_Image_2015_CVPR_paper.pdf

Xiaofan Zhang:

Hai Su:

Lin Yang:

Shaoting Zhang: http://webpages.uncc.edu/~szhang16/

【3D modeling】Dynamic Fusion: Reconstruction and Tracking of Non-Rigid Scenes in Real-Time

PDF: ./papers/Newcombe_DynamicFusion_Reconstruction_and_2015_CVPR_paper.pdf

Richard A. Newcombe:

Dieter Fox:

Steven M. Seitz:

【3D modeling】Direction Matters: Depth Estimation With a Surface Normal Classifier

PDF: ./papers/Hane_Direction_Matters_Depth_2015_CVPR_paper.pdf

Christian Häne:

Ľubor Ladický:

Marc Pollefeys: http://www.inf.ethz.ch/personal/pomarc/

【3D modeling】3D Scanning Deformable Objects With a Single RGBD Sensor

PDF: ./papers/Dou_3D_Scanning_Deformable_2015_CVPR_paper.pdf

Mingsong Dou:

Jonathan Taylor:

Henry Fuchs:

Andrew Fitzgibbon:

Shahram Izadi:

【3D modeling】Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo

PDF: ./papers/Graber_Efficient_Minimal-Surface_Regularization_2015_CVPR_paper.pdf

Gottfried Graber:

Jonathan Balzer:

Stefano Soatto: http://vision.ucla.edu/projects.html

Thomas Pock:

【3D modeling】Designing Deep Networks for Surface Normal Estimation

PDF: ./papers/Wang_Designing_Deep_Networks_2015_CVPR_paper.pdf

Xiaolong Wang:

David Fouhey:

Abhinav Gupta: http://www.cs.cmu.edu/~abhinavg/

【3D modeling】Part-Based Modelling of Compound Scenes From Images

PDF: ./papers/Hengel_Part-Based_Modelling_of_2015_CVPR_paper.pdf

Anton van den Hengel:

Chris Russell:

Anthony Dick:

John Bastian:

Daniel Pooley:

Lachlan Fleming:

Lourdes Agapito:

【3D modeling】Depth and Surface Normal Estimation From Monocular Images Using Regression on Deep Features and Hierarchical CRFs

PDF: ./papers/Li_Depth_and_Surface_2015_CVPR_paper.pdf

Bo Li:

Chunhua Shen:

Yuchao Dai:

Anton van den Hengel:

Mingyi He:

【3D modeling】Discriminative Shape From Shading in Uncalibrated Illumination

PDF: ./papers/Richter_Discriminative_Shape_From_2015_CVPR_paper.pdf

Stephan R. Richter:

Stefan Roth: http://www.igp.ethz.ch/photogrammetry/

【3D modeling】Line-Sweep: Cross-Ratio For Wide-Baseline Matching and 3D Reconstruction

PDF: ./papers/Ramalingam_Line-Sweep_Cross-Ratio_For_2015_CVPR_paper.pdf

Srikumar Ramalingam:

Michel Antunes:

Dan Snow:

Gim Hee Lee:

Sudeep Pillai:

【3D modeling】Towards Open World Recognition

PDF: ./papers/Bendale_Towards_Open_World_2015_CVPR_paper.pdf

Abhijit Bendale:

Terrance Boult:

【3D modeling】Category-Specific Object Reconstruction From a Single Image

PDF: ./papers/Kar_Category-Specific_Object_Reconstruction_2015_CVPR_paper.pdf

Abhishek Kar:

Shubham Tulsiani:

João Carreira:

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

【3D modeling】Superpixel Meshes for Fast Edge-Preserving Surface Reconstruction

PDF: ./papers/Bodis-Szomoru_Superpixel_Meshes_for_2015_CVPR_paper.pdf

András Bódis-Szomorú:

Hayko Riemenschneider:

Luc Van Gool: http://www.vision.ee.ethz.ch/

【3D modeling】Unconstrained 3D Face Reconstruction

PDF: ./papers/Roth_Unconstrained_3D_Face_2015_CVPR_paper.pdf

Joseph Roth:

Yiying Tong:

Xiaoming Liu:

【3D modeling】Direct Structure Estimation for 3D Reconstruction

PDF: ./papers/Jiang_Direct_Structure_Estimation_2015_CVPR_paper.pdf

Nianjuan Jiang:

Daniel Lin:

Minh N. Do:

Jiangbo Lu:

【3D modeling】Inferring 3D Layout of Building Facades From a Single Image

PDF: ./papers/Pan_Inferring_3D_Layout_2015_CVPR_paper.pdf

Jiyan Pan:

Martial Hebert: http://www.cs.cmu.edu/~hebert/

Takeo Kanade:

【3D modeling】Virtual View Networks for Object Reconstruction

PDF: ./papers/Carreira_Virtual_View_Networks_2015_CVPR_paper.pdf

João Carreira:

Abhishek Kar:

Shubham Tulsiani:

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

【3D modeling】Adopting an Unconstrained Ray Model in Light-Field Cameras for 3D Shape Reconstruction

PDF: ./papers/Bergamasco_Adopting_an_Unconstrained_2015_CVPR_paper.pdf

Filippo Bergamasco:

Andrea Albarelli:

Luca Cosmo:

Andrea Torsello:

Emanuele Rodolà:

Daniel Cremers: http://vision.in.tum.de/

【3D modeling】Building Proteins in a Day: Efficient 3D Molecular Reconstruction

PDF: ./papers/Brubaker_Building_Proteins_in_2015_CVPR_paper.pdf

Marcus A. Brubaker:

Ali Punjani:

David J. Fleet:

【3D modeling】Reconstructing the World* in Six Days

PDF: ./papers/Heinly_Reconstructing_the_World_2015_CVPR_paper.pdf

Jared Heinly:

Johannes L. Schönberger:

Enrique Dunn:

Jan-Michael Frahm:

【3D modeling】The Stitched Puppet: A Graphical Model of 3D Human Shape and Pose

PDF: ./papers/Zuffi_The_Stitched_Puppet_2015_CVPR_paper.pdf

Silvia Zuffi:

Michael J. Black:

【3D modeling】Robust Manhattan Frame Estimation From a Single RGB-D Image

PDF: ./papers/Ghanem_Robust_Manhattan_Frame_2015_CVPR_paper.pdf

Bernard Ghanem:

Ali Thabet:

Juan Carlos Niebles:

Fabian Caba Heilbron:

【3D modeling】Regularizing Max-Margin Exemplars by Reconstruction and Generative Models

PDF: ./papers/Rubio_Regularizing_Max-Margin_Exemplars_2015_CVPR_paper.pdf

Jose C. Rubio:

Björn Ommer:

【3D modeling】3D Shape Estimation From 2D Landmarks: A Convex Relaxation Approach

PDF: ./papers/Zhou_3D_Shape_Estimation_2015_CVPR_paper.pdf

Xiaowei Zhou:

Spyridon Leonardos:

Xiaoyan Hu:

Kostas Daniilidis:

【3D modeling】Large-Scale and Drift-Free Surface Reconstruction Using Online Subvolume Registration

PDF: ./papers/Fioraio_Large-Scale_and_Drift-Free_2015_CVPR_paper.pdf

Nicola Fioraio:

Jonathan Taylor:

Andrew Fitzgibbon:

Luigi Di Stefano:

Shahram Izadi:

【3D modeling】Aligning 3D Models to RGB-D Images of Cluttered Scenes

PDF: ./papers/Gupta_Aligning_3D_Models_2015_CVPR_paper.pdf

Saurabh Gupta:

Pablo Arbeláez:

Ross Girshick: http://www.cs.berkeley.edu/~rbg/

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

【3D modeling】3D Reconstruction in the Presence of Glasses by Acoustic and Stereo Fusion

PDF: ./papers/Ye_3D_Reconstruction_in_2015_CVPR_paper.pdf

Mao Ye:

Yu Zhang: http://www.comp.hkbu.edu.hk/~yuzhang/

Ruigang Yang: http://vis.uky.edu/~ryang/

Dinesh Manocha:

【3D modeling】From Single Image Query to Detailed 3D Reconstruction

PDF: ./papers/Schonberger_From_Single_Image_2015_CVPR_paper.pdf

Johannes L. Schönberger:

Filip Radenović:

Ondrej Chum:

Jan-Michael Frahm:

【3D modeling】Constrained Planar Cuts – Object Partitioning for Point Clouds

PDF: ./papers/Schoeler_Constrained_Planar_Cuts_2015_CVPR_paper.pdf

Markus Schoeler:

Jeremie Papon:

Florentin Wörgötter:

【3D modeling】Discrete Optimization of Ray Potentials for Semantic 3D Reconstruction

PDF: ./papers/Savinov_Discrete_Optimization_of_2015_CVPR_paper.pdf

Nikolay Savinov:

Ľubor Ladický:

Christian Häne:

Marc Pollefeys: http://www.inf.ethz.ch/personal/pomarc/

【3D modeling】Robust Reconstruction of Indoor Scenes

PDF: ./papers/Choi_Robust_Reconstruction_of_2015_CVPR_paper.pdf

Sungjoon Choi:

Qian-Yi Zhou:

Vladlen Koltun: http://vladlen.info/publications/

【Feature matching】Heat Diffusion Over Weighted Manifolds: A New Descriptor for Textured 3D Non-Rigid Shapes

PDF: ./papers/Abdelrahman_Heat_Diffusion_Over_2015_CVPR_paper.pdf

Mostafa Abdelrahman:

Aly Farag:

David Swanson:

Moumen T. El-Melegy:

【Feature matching】Nested Motion Descriptors

PDF: ./papers/Byrne_Nested_Motion_Descriptors_2015_CVPR_paper.pdf

Jeffrey Byrne:

【Feature matching】Collaborative Feature Learning From Social Media

PDF: ./papers/Fang_Collaborative_Feature_Learning_2015_CVPR_paper.pdf

Chen Fang:

Hailin Jin: http://vision.ucla.edu/~hljin/

Jianchao Yang: http://www.ifp.illinois.edu/~jyang29/

Zhe Lin: http://www.adobe.com/technology/people/san-jose/zhe-lin.html

【Feature matching】Pooled Motion Features for First-Person Videos

PDF: ./papers/Ryoo_Pooled_Motion_Features_2015_CVPR_paper.pdf

Michael S. Ryoo:

Brandon Rothrock:

Larry Matthies:

【Feature matching】Hardware Compliant Approximate Image Codes

PDF: ./papers/Kuang_Hardware_Compliant_Approximate_2015_CVPR_paper.pdf

Da Kuang:

Alex Gittens:

Raffay Hamid:

【Feature matching】Mid-Level Deep Pattern Mining

PDF: ./papers/Li_Mid-Level_Deep_Pattern_2015_CVPR_paper.pdf

Yao Li:

Lingqiao Liu:

Chunhua Shen:

Anton van den Hengel:

【Feature matching】Continuous Visibility Feature

PDF: ./papers/Liu_Continuous_Visibility_Feature_2015_CVPR_paper.pdf

Guilin Liu:

Yotam Gingold:

Jyh-Ming Lien:

【Feature matching】Supervised Descriptor Learning for Multi-Output Regression

PDF: ./papers/Zhen_Supervised_Descriptor_Learning_2015_CVPR_paper.pdf

Xiantong Zhen:

Zhijie Wang:

Mengyang Yu:

Shuo Li:

【Feature matching】Viewpoints and Keypoints

PDF: ./papers/Tulsiani_Viewpoints_and_Keypoints_2015_CVPR_paper.pdf

Shubham Tulsiani:

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

【Feature matching】Finding Distractors In Images

PDF: ./papers/Fried_Finding_Distractors_In_2015_CVPR_paper.pdf

Ohad Fried:

Eli Shechtman: http://www.adobe.com/technology/people/seattle/eli-shechtman.html

Dan B. Goldman:

Adam Finkelstein:

【Feature matching】DASC: Dense Adaptive Self-Correlation Descriptor for Multi-Modal and Multi-Spectral Correspondence

PDF: ./papers/Kim_DASC_Dense_Adaptive_2015_CVPR_paper.pdf

Seungryong Kim:

Dongbo Min:

Bumsub Ham:

Seungchul Ryu:

Minh N. Do:

Kwanghoon Sohn:

【Feature matching】Class Consistent Multi-Modal Fusion With Binary Features

PDF: ./papers/Shrivastava_Class_Consistent_Multi-Modal_2015_CVPR_paper.pdf

Ashish Shrivastava:

Mohammad Rastegari:

Sumit Shekhar:

Rama Chellappa:

Larry S. Davis:

【Feature matching】3D Deep Shape Descriptor

PDF: ./papers/Fang_3D_Deep_Shape_2015_CVPR_paper.pdf

Yi Fang:

Jin Xie:

Guoxian Dai:

Meng Wang:

Fan Zhu:

Tiantian Xu:

Edward Wong:

【Feature matching】BOLD – Binary Online Learned Descriptor For Efficient Image Matching

PDF: ./papers/Balntas_BOLD_-_Binary_2015_CVPR_paper.pdf

Vassileios Balntas:

Lilian Tang:

Krystian Mikolajczyk:

【Feature matching】Learning Descriptors for Object Recognition and 3D Pose Estimation

PDF: ./papers/Wohlhart_Learning_Descriptors_for_2015_CVPR_paper.pdf

Paul Wohlhart:

Vincent Lepetit: http://cvlabwww.epfl.ch/~lepetit/

【Feature matching】Deep Visual-Semantic Alignments for Generating Image Descriptions

PDF: ./papers/Karpathy_Deep_Visual-Semantic_Alignments_2015_CVPR_paper.pdf

Andrej Karpathy: http://cs.stanford.edu/people/karpathy/

Li Fei-Fei:

【Feature matching】A Dataset for Movie Description

PDF: ./papers/Rohrbach_A_Dataset_for_2015_CVPR_paper.pdf

Anna Rohrbach:

Marcus Rohrbach:

Niket Tandon:

Bernt Schiele: http://www.d2.mpi-inf.mpg.de/schiele/

【Feature matching】Multi-View Feature Engineering and Learning

PDF: ./papers/Dong_Multi-View_Feature_Engineering_2015_CVPR_paper.pdf

Jingming Dong:

Nikolaos Karianakis:

Damek Davis:

Joshua Hernandez:

Jonathan Balzer:

Stefano Soatto: http://vision.ucla.edu/projects.html

【Feature matching】Domain-Size Pooling in Local Descriptors: DSP-SIFT

PDF: ./papers/Dong_Domain-Size_Pooling_in_2015_CVPR_paper.pdf

Jingming Dong:

Stefano Soatto: http://vision.ucla.edu/projects.html

【Feature matching】CIDEr: Consensus-Based Image Description Evaluation

PDF: ./papers/Vedantam_CIDEr_Consensus-Based_Image_2015_CVPR_paper.pdf

Ramakrishna Vedantam:

Lawrence Zitnick:

Devi Parikh: https://filebox.ece.vt.edu/~parikh/

【Feature matching】Domain-Size Pooling in Local Descriptors: DSP-SIFT

PDF: ./papers/Dong_Domain-Size_Pooling_in_2015_CVPR_paper.pdf

Jingming Dong:

Stefano Soatto: http://vision.ucla.edu/projects.html

【Feature matching】TILDE: A Temporally Invariant Learned DEtector

PDF: ./papers/Verdie_TILDE_A_Temporally_2015_CVPR_paper.pdf

Yannick Verdie:

Kwang Yi:

Pascal Fua: http://cvlabwww.epfl.ch/~fua/

Vincent Lepetit: http://cvlabwww.epfl.ch/~lepetit/

【Pose estimation】PAIGE: PAirwise Image Geometry Encoding for Improved Efficiency in Structure-From-Motion

PDF: ./papers/Schonberger_PAIGE_PAirwise_Image_2015_CVPR_paper.pdf

Johannes L. Schönberger:

Alexander C. Berg:

Jan-Michael Frahm:

【Pose estimation】Single-Image Estimation of the Camera Response Function in Near-Lighting

PDF: ./papers/Rodrigues_Single-Image_Estimation_of_2015_CVPR_paper.pdf

Pedro Rodrigues:

João P. Barreto:

【Pose estimation】Simplified Mirror-Based Camera Pose Computation via Rotation Averaging

PDF: ./papers/Long_Simplified_Mirror-Based_Camera_2015_CVPR_paper.pdf

Gucan Long:

Laurent Kneip:

Xin Li:

Xiaohu Zhang:

Qifeng Yu:

【Pose estimation】Robust Large Scale Monocular Visual SLAM

PDF: ./papers/Bourmaud_Robust_Large_Scale_2015_CVPR_paper.pdf

Guillaume Bourmaud:

Rémi Mégret:

【Pose estimation】Real-Time Joint Estimation of Camera Orientation and Vanishing Points

PDF: ./papers/Lee_Real-Time_Joint_Estimation_2015_CVPR_paper.pdf

Jeong-Kyun Lee:

Kuk-Jin Yoon: https://cvl.gist.ac.kr/introduction.html

【Pose estimation】Robust Multiple Homography Estimation: An Ill-Solved Problem

PDF: ./papers/Szpak_Robust_Multiple_Homography_2015_CVPR_paper.pdf

Zygmunt L. Szpak:

Wojciech Chojnacki:

Anton van den Hengel:

【Pose estimation】A Convex Optimization Approach to Robust Fundamental Matrix Estimation

PDF: ./papers/Cheng_A_Convex_Optimization_2015_CVPR_paper.pdf

Yongfang Cheng:

Jose A. Lopez:

Octavia Camps:

Mario Sznaier:

【Pose estimation】Simultaneous Pose and Non-Rigid Shape With Particle Dynamics

PDF: ./papers/Agudo_Simultaneous_Pose_and_2015_CVPR_paper.pdf

Antonio Agudo:

Francesc Moreno-Noguer:

【Pose estimation】R6P – Rolling Shutter Absolute Camera Pose

PDF: ./papers/Albl_R6P_-_Rolling_2015_CVPR_paper.pdf

Cenek Albl:

Zuzana Kukelova:

Tomas Pajdla:

【Pose estimation】Hierarchical Sparse Coding With Geometric Prior For Visual Geo-Location

PDF: ./papers/Gopalan_Hierarchical_Sparse_Coding_2015_CVPR_paper.pdf

Raghuraman Gopalan:

【Pose estimation】P3.5P: Pose Estimation With Unknown Focal Length

PDF: ./papers/Wu_P3.5P_Pose_Estimation_2015_CVPR_paper.pdf

Changchang Wu:

【Pose estimation】Robust Camera Location Estimation by Convex Programming

PDF: ./papers/Ozyesil_Robust_Camera_Location_2015_CVPR_paper.pdf

Onur Özyesil:

Amit Singer:

【Pose estimation】Descriptor Free Visual Indoor Localization With Line Segments

PDF: ./papers/Micusik_Descriptor_Free_Visual_2015_CVPR_paper.pdf

Branislav Micusik:

Horst Wildenauer:

【Pose estimation】Joint SFM and Detection Cues for Monocular 3D Localization in Road Scenes

PDF: ./papers/Song_Joint_SFM_and_2015_CVPR_paper.pdf

Shiyu Song:

Manmohan Chandraker:

【Pose estimation】Efficient Conv Net-Based Marker-Less Motion Capture in General Scenes With a Low Number of Cameras

PDF: ./papers/Elhayek_Efficient_ConvNet-Based_Marker-Less_2015_CVPR_paper.pdf

Ahmed Elhayek:

Edilson de Aguiar:

Arjun Jain:

Jonathan Tompson:

Leonid Pishchulin:

Micha Andriluka:

Chris Bregler:

Bernt Schiele: http://www.d2.mpi-inf.mpg.de/schiele/

Christian Theobalt:

【Pose estimation】Scalable Structure From Motion for Densely Sampled Videos

PDF: ./papers/Resch_Scalable_Structure_From_2015_CVPR_paper.pdf

Benjamin Resch:

Hendrik P. A. Lensch:

Oliver Wang:

Marc Pollefeys: http://www.inf.ethz.ch/personal/pomarc/

Alexander Sorkine-Hornung:

【Pose estimation】The Common Self-Polar Triangle of Concentric Circles and Its Application to Camera Calibration

PDF: ./papers/Huang_The_Common_Self-Polar_2015_CVPR_paper.pdf

Haifei Huang:

Hui Zhang:

Yiu-ming Cheung:

【Pose estimation】Adaptive Eye-Camera Calibration for Head-Worn Devices

PDF: ./papers/Perra_Adaptive_Eye-Camera_Calibration_2015_CVPR_paper.pdf

David Perra:

Rohit Kumar Gupta:

Jan-Michael Frahm:

【Pose estimation】Exploiting Uncertainty in Regression Forests for Accurate Camera Relocalization

PDF: ./papers/Valentin_Exploiting_Uncertainty_in_2015_CVPR_paper.pdf

Julien Valentin:

Matthias Nießner:

Jamie Shotton: http://research.microsoft.com/en-us/groups/vision/default.aspx

Andrew Fitzgibbon:

Shahram Izadi:

Philip H. S. Torr:

【Pose estimation】Learning Deep Representations for Ground-to-Aerial Geolocalization

PDF: ./papers/Lin_Learning_Deep_Representations_2015_CVPR_paper.pdf

Tsung-Yi Lin:

Yin Cui:

Serge Belongie: http://vision.ucsd.edu/person/serge-belongie

James Hays: http://www.cs.brown.edu/~hays/

【Stereo matching】Leveraging Stereo Matching With Learning-Based Confidence Measures

PDF: ./papers/Park_Leveraging_Stereo_Matching_2015_CVPR_paper.pdf

Min-Gyu Park:

Kuk-Jin Yoon: https://cvl.gist.ac.kr/introduction.html

【Stereo matching】Data-Driven Depth Map Refinement via Multi-Scale Sparse Representation

PDF: ./papers/Kwon_Data-Driven_Depth_Map_2015_CVPR_paper.pdf

Hyeok Hyen Kwon:

Yu-Wing Tai:

Stephen Lin:

【Stereo matching】Uncalibrated Photometric Stereo Based on Elevation Angle Recovery From BRDF Symmetry of Isotropic Material

PDF: ./papers/Lu_Uncalibrated_Photometric_Stereo_2015_CVPR_paper.pdf

Feng Lu:

Imari Sato:

Yoichi Sato:

【Stereo matching】Event-Driven Stereo Matching for Real-Time 3D Panoramic Vision

PDF: ./papers/Schraml_Event-Driven_Stereo_Matching_2015_CVPR_paper.pdf

Stephan Schraml:

Ahmed Nabil Belbachir:

Horst Bischof: http://www.icg.tugraz.at/Members/bischof

【Stereo matching】Indoor Scene Structure Analysis for Single Image Depth Estimation

PDF: ./papers/Zhuo_Indoor_Scene_Structure_2015_CVPR_paper.pdf

Wei Zhuo:

Mathieu Salzmann:

Xuming He: http://users.cecs.anu.edu.au/~hexm/

Miaomiao Liu:

【Stereo matching】Photometric Refinement of Depth Maps for Multi-Albedo Objects

PDF: ./papers/Chatterjee_Photometric_Refinement_of_2015_CVPR_paper.pdf

Avishek Chatterjee:

Venu Madhav Govindu:

【Stereo matching】Accurate Depth Map Estimation From a Lenslet Light Field Camera

PDF: ./papers/Jeon_Accurate_Depth_Map_2015_CVPR_paper.pdf

Hae-Gon Jeon:

Jaesik Park:

Gyeongmin Choe:

Jinsun Park:

Yunsu Bok:

Yu-Wing Tai:

In So Kweon: http://rcv.kaist.ac.kr/

【Stereo matching】Computing the Stereo Matching Cost With a Convolutional Neural Network

PDF: ./papers/Zbontar_Computing_the_Stereo_2015_CVPR_paper.pdf

Jure Žbontar:

Yann Le Cun:

【Stereo matching】Depth From Shading, Defocus, and Correspondence Using Light-Field Angular Coherence

PDF: ./papers/Tao_Depth_From_Shading_2015_CVPR_paper.pdf

Michael W. Tao:

Pratul P. Srinivasan:

Jitendra Malik: http://www.cs.berkeley.edu/~malik/

Szymon Rusinkiewicz:

Ravi Ramamoorthi:

【Stereo matching】Probability Occupancy Maps for Occluded Depth Images

PDF: ./papers/Bagautdinov_Probability_Occupancy_Maps_2015_CVPR_paper.pdf

Timur Bagautdinov:

François Fleuret:

Pascal Fua: http://cvlabwww.epfl.ch/~fua/

【Stereo matching】Exact Bias Correction and Covariance Estimation for Stereo Vision

PDF: ./papers/Freundlich_Exact_Bias_Correction_2015_CVPR_paper.pdf

Charles Freundlich:

Michael Zavlanos:

Philippos Mordohai:

【Stereo matching】Depth From Focus With Your Mobile Phone

PDF: ./papers/Suwajanakorn_Depth_From_Focus_2015_CVPR_paper.pdf

Supasorn Suwajanakorn:

Carlos Hernandez:

Steven M. Seitz:

【Stereo matching】Depth Image Enhancement Using Local Tangent Plane Approximations

PDF: ./papers/Matsuo_Depth_Image_Enhancement_2015_CVPR_paper.pdf

Kiyoshi Matsuo:

Yoshimitsu Aoki:

【Stereo matching】Beyond the Shortest Path : Unsupervised Domain Adaptation by Sampling Subspaces Along the Spline Flow

PDF: ./papers/Caseiro_Beyond_the_Shortest_2015_CVPR_paper.pdf

Rui Caseiro:

João F. Henriques:

Pedro Martins:

Jorge Batista:

【Stereo matching】Ambient Occlusion via Compressive Visibility Estimation

PDF: ./papers/Yang_Ambient_Occlusion_via_2015_CVPR_paper.pdf

Wei Yang:

Yu Ji:

Haiting Lin:

Yang Yang:

Sing Bing Kang:

Jingyi Yu:

【Stereo matching】A Fixed Viewpoint Approach for Dense Reconstruction of Transparent Objects

PDF: ./papers/Han_A_Fixed_Viewpoint_2015_CVPR_paper.pdf

Kai Han:

Kwan-Yee K. Wong:

Miaomiao Liu:

【Stereo matching】Displets: Resolving Stereo Ambiguities Using Object Knowledge

PDF: ./papers/Guney_Displets_Resolving_Stereo_2015_CVPR_paper.pdf

Fatma Güney:

Andreas Geiger:

【Stereo matching】Simultaneous Time-of-Flight Sensing and Photometric Stereo With a Single To F Sensor

PDF: ./papers/Ti_Simultaneous_Time-of-Flight_Sensing_2015_CVPR_paper.pdf

Changpeng Ti:

Ruigang Yang: http://vis.uky.edu/~ryang/

James Davis: http://www.cse.ohio-state.edu/~jwdavis/

Zhigeng Pan:

【Stereo matching】Associating Neural Word Embeddings With Deep Image Representations Using Fisher Vectors

PDF: ./papers/Klein_Associating_Neural_Word_2015_CVPR_paper.pdf

Benjamin Klein:

Guy Lev:

Gil Sadeh:

Lior Wolf:

【Stereo matching】Learning Deep Representations for Ground-to-Aerial Geolocalization

PDF: ./papers/Lin_Learning_Deep_Representations_2015_CVPR_paper.pdf

Tsung-Yi Lin:

Yin Cui:

Serge Belongie: http://vision.ucsd.edu/person/serge-belongie

James Hays: http://www.cs.brown.edu/~hays/

【Stereo matching】Understanding Deep Image Representations by Inverting The

PDF: ./papers/Mahendran_Understanding_Deep_Image_2015_CVPR_paper.pdf

Aravindh Mahendran:

Andrea Vedaldi: http://www.robots.ox.ac.uk/~vedaldi/index.html

【Stereo matching】Fast Bilateral-Space Stereo for Synthetic Defocus

PDF: ./papers/Barron_Fast_Bilateral-Space_Stereo_2015_CVPR_paper.pdf

Jonathan T. Barron:

Andrew Adams:

Yi Chang Shih:

Carlos Hernández:

【Stereo matching】One-Day Outdoor Photometric Stereo via Skylight Estimation

PDF: ./papers/Jung_One-Day_Outdoor_Photometric_2015_CVPR_paper.pdf

Jiyoung Jung:

Joon-Young Lee:

In So Kweon: http://rcv.kaist.ac.kr/

【Stereo matching】Photometric Stereo With Near Point Lighting: A Solution by Mesh Deformation

PDF: ./papers/Xie_Photometric_Stereo_With_2015_CVPR_paper.pdf

Wuyuan Xie:

Chengkai Dai:

Charlie C. L. Wang:

【Stereo matching】Ego Sampling: Fast-Forward and Stereo for Egocentric Videos

PDF: ./papers/Poleg_EgoSampling_Fast-Forward_and_2015_CVPR_paper.pdf

Yair Poleg:

Tavi Halperin:

Chetan Arora:

Shmuel Peleg: http://www.cs.huji.ac.il/~peleg/

【Stereo matching】Simultaneous Video Defogging and Stereo Reconstruction

PDF: ./papers/Li_Simultaneous_Video_Defogging_2015_CVPR_paper.pdf

Zhuwen Li:

Ping Tan: http://www.ece.nus.edu.sg/stfpage/eletp/Index.htm

Robby T. Tan:

Danping Zou:

Steven Zhiying Zhou:

Loong-Fah Cheong:

【Stereo matching】Deep Convolutional Neural Fields for Depth Estimation From a Single Image

PDF: ./papers/Liu_Deep_Convolutional_Neural_2015_CVPR_paper.pdf

Fayao Liu:

Chunhua Shen:

Guosheng Lin:

【Stereo matching】Understanding Deep Image Representations by Inverting Them

PDF: ./papers/Mahendran_Understanding_Deep_Image_2015_CVPR_paper.pdf

Aravindh Mahendran:

Andrea Vedaldi: http://www.robots.ox.ac.uk/~vedaldi/index.html

【Stereo matching】RGBD-Fusion: Real-Time High Precision Depth Recovery

PDF: ./papers/El_RGBD-Fusion_Real-Time_High_2015_CVPR_paper.pdf

Roy Or – El:

Guy Rosman:

Aaron Wetzler:

Ron Kimmel:

Alfred M. Bruckstein:

【Optical flow】Efficient Sparse-to-Dense Optical Flow Estimation Using a Learned Basis and Layers

PDF: ./papers/Wulff_Efficient_Sparse-to-Dense_Optical_2015_CVPR_paper.pdf

Jonas Wulff:

Michael J. Black:

【Optical flow】Layered RGBD Scene Flow Estimation

PDF: ./papers/Sun_Layered_RGBD_Scene_2015_CVPR_paper.pdf

Deqing Sun: http://cs.brown.edu/~dqsun/index.html

Erik B. Sudderth:

Hanspeter Pfister:

【Optical flow】Dense, Accurate Optical Flow Estimation With Piecewise Parametric Model

PDF: ./papers/Yang_Dense_Accurate_Optical_2015_CVPR_paper.pdf

Jiaolong Yang:

Hongdong Li:

【Optical flow】Epic Flow: Edge-Preserving Interpolation of Correspondences for Optical Flow

PDF: ./papers/Revaud_EpicFlow_Edge-Preserving_Interpolation_2015_CVPR_paper.pdf

Jerome Revaud: http://lear.inrialpes.fr/people/revaud/

Philippe Weinzaepfel:

Zaid Harchaoui:

Cordelia Schmid: http://lear.inrialpes.fr/~schmid/

【Optical flow】Real-Time Visual Analysis of Microvascular Blood Flow for Critical Care

PDF: ./papers/Liu_Real-Time_Visual_Analysis_2015_CVPR_paper.pdf

Chao Liu:

Hernando Gomez:

Srinivasa Narasimhan:

Artur Dubrawski:

Michael R. Pinsky:

Brian Zuckerbraun:

【Optical flow】Object Scene Flow for Autonomous Vehicles

PDF: ./papers/Menze_Object_Scene_Flow_2015_CVPR_paper.pdf

Moritz Menze:

Andreas Geiger:

【Optical flow】Hierarchically-Constrained Optical Flow

PDF: ./papers/Kennedy_Hierarchically-Constrained_Optical_Flow_2015_CVPR_paper.pdf

Ryan Kennedy:

Camillo J. Taylor:

【Optical flow】The Aperture Problem for Refractive Motion

PDF: ./papers/Xue_The_Aperture_Problem_2015_CVPR_paper.pdf

Tianfan Xue:

Hossein Mobahi:

Frédo Durand:

William T. Freeman:

【Region matching】Radial Distortion Homography

PDF: ./papers/Kukelova_Radial_Distortion_Homography_2015_CVPR_paper.pdf

Zuzana Kukelova:

Jan Heller:

Martin Bujnak:

Tomas Pajdla:

【Region matching】A Low-Dimensional Step Pattern Analysis Algorithm With Application to Multimodal Retinal Image Registration

PDF: ./papers/Lee_A_Low-Dimensional_Step_2015_CVPR_paper.pdf

Jimmy Addison Lee:

Jun Cheng:

Beng Hai Lee:

Ee Ping Ong:

Guozhen Xu:

Damon Wing Kee Wong:

Jiang Liu:

Augustinus Laude:

Tock Han Lim:

【Region matching】Flow Web: Joint Image Set Alignment by Weaving Consistent, Pixel-Wise Correspondences

PDF: ./papers/Zhou_FlowWeb_Joint_Image_2015_CVPR_paper.pdf

Tinghui Zhou:

Yong Jae Lee:

Stella X. Yu:

Alyosha A. Efros:

【Region matching】Generalized Deformable Spatial Pyramid: Geometry-Preserving Dense Correspondence Estimation

PDF: ./papers/Hur_Generalized_Deformable_Spatial_2015_CVPR_paper.pdf

Junhwa Hur:

Hwasup Lim:

Changsoo Park:

Sang Chul Ahn:

【Region matching】Discrete Hyper-Graph Matching

PDF: ./papers/Yan_Discrete_Hyper-Graph_Matching_2015_CVPR_paper.pdf

Junchi Yan:

Chao Zhang:

Hongyuan Zha:

Wei Liu:

Xiaokang Yang:

Stephen M. Chu:

【Region matching】Learning to Generate Chairs With Convolutional Neural Networks

PDF: ./papers/Dosovitskiy_Learning_to_Generate_2015_CVPR_paper.pdf

Alexey Dosovitskiy:

Jost Tobias Springenberg:

Thomas Brox: http://lmb.informatik.uni-freiburg.de/people/brox/index.en.html

【Region matching】Robust Image Alignment With Multiple Feature Descriptors and Matching-Guided Neighborhoods

PDF: ./papers/Hsu_Robust_Image_Alignment_2015_CVPR_paper.pdf

Kuang-Jui Hsu:

Yen-Yu Lin:

Yung-Yu Chuang:

【Region matching】Best-Buddies Similarity for Robust Template Matching

PDF: ./papers/Dekel_Best-Buddies_Similarity_for_2015_CVPR_paper.pdf

Tali Dekel:

Shaul Oron:

Michael Rubinstein: http://people.csail.mit.edu/mrub/

Shai Avidan:

William T. Freeman:

【Region matching】A Solution for Multi-Alignment by Transformation Synchronisation

PDF: ./papers/Bernard_A_Solution_for_2015_CVPR_paper.pdf

Florian Bernard:

Johan Thunberg:

Peter Gemmar:

Frank Hertel:

Andreas Husch:

Jorge Goncalves:

【Region matching】Non-Rigid Registration of Images With Geometric and Photometric Deformation by Using Local Affine Fourier-Moment Matching

PDF: ./papers/Su_Non-Rigid_Registration_of_2015_CVPR_paper.pdf

Hong-Ren Su:

Shang-Hong Lai:

【Region matching】Unsupervised Visual Alignment With Similarity Graphs

PDF: ./papers/Yancheshmeh_Unsupervised_Visual_Alignment_2015_CVPR_paper.pdf

Fatemeh Shokrollahi Yancheshmeh:

Ke Chen:

Joni-Kristian Kämäräinen:

【Region matching】Simultaneous Feature Learning and Hash Coding With Deep Neural Networks

PDF: ./papers/Lai_Simultaneous_Feature_Learning_2015_CVPR_paper.pdf

Hanjiang Lai:

Yan Pan:

Ye Liu:

Shuicheng Yan: http://www.lv-nus.org/index.html

【Region matching】Match Net: Unifying Feature and Metric Learning for Patch-Based Matching

PDF: ./papers/Han_MatchNet_Unifying_Feature_2015_CVPR_paper.pdf

Xufeng Han:

Thomas Leung:

Yangqing Jia: http://www.eecs.berkeley.edu/~jiayq/

Rahul Sukthankar:

Alexander C. Berg:

【Region matching】Computing Similarity Transformations From Only Image Correspondences

PDF: ./papers/Sweeney_Computing_Similarity_Transformations_2015_CVPR_paper.pdf

Chris Sweeney:

Laurent Kneip:

Tobias Höllerer:

Matthew Turk:

【Region matching】Matching Bags of Regions in RGBD images

PDF: ./papers/Jiang_Matching_Bags_of_2015_CVPR_paper.pdf

Hao Jiang:

【Region matching】Low-Level Vision by Consensus in a Spatial Hierarchy of Regions

PDF: ./papers/Chakrabarti_Low-Level_Vision_by_2015_CVPR_paper.pdf

Ayan Chakrabarti:

Ying Xiong:

Steven J. Gortler:

Todd Zickler:

【Region matching】Face Alignment Using Cascade Gaussian Process Regression Trees

PDF: ./papers/Lee_Face_Alignment_Using_2015_CVPR_paper.pdf

Donghoon Lee:

Hyunsin Park:

Chang D. Yoo: http://slsp.kaist.ac.kr/xe/index.php?mid=home

【Region matching】Learning to Compare Image Patches via Convolutional Neural Networks

PDF: ./papers/Zagoruyko_Learning_to_Compare_2015_CVPR_paper.pdf

Sergey Zagoruyko:

Nikos Komodakis: http://imagine.enpc.fr/~komodakn/

【Region matching】Fast 2D Border Ownership Assignment

PDF: ./papers/Teo_Fast_2D_Border_2015_CVPR_paper.pdf

Ching Teo:

Cornelia Fermüller:

Yiannis Aloimonos: http://www.cfar.umd.edu/~yiannis/

【Region matching】A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching

PDF: ./papers/Nguyen_A_Flexible_Tensor_2015_CVPR_paper.pdf

Quynh Nguyen:

Antoine Gautier:

Matthias Hein:

【Region matching】LMI-Based 2D-3D Registration: From Uncalibrated Images to Euclidean Scene

PDF: ./papers/Paudel_LMI-Based_2D-3D_Registration_2015_CVPR_paper.pdf

Danda Pani Paudel:

Adlane Habed:

Cédric Demonceaux:

Pascal Vasseur:

【Region matching】Clique-Graph Matching by Preserving Global & Local Structure

PDF: ./papers/Nie_Clique-Graph_Matching_by_2015_CVPR_paper.pdf

Wei-Zhi Nie:

An-An Liu:

Zan Gao:

Yu-Ting Su:

【Region matching】Deep Sparse Representation for Robust Image Registration

PDF: ./papers/Li_Deep_Sparse_Representation_2015_CVPR_paper.pdf

Yeqing Li:

Chen Chen:

Fei Yang:

Junzhou Huang:

【Region matching】Coarse-To-Fine Region Selection and Matching

PDF: ./papers/Yang_Coarse-To-Fine_Region_Selection_2015_CVPR_paper.pdf

Yanchao Yang:

Zhaojin Lu:

Ganesh Sundaramoorthi:

【Region matching】Subgraph Matching Using Compactness Prior for Robust Feature Correspondence

PDF: ./papers/Suh_Subgraph_Matching_Using_2015_CVPR_paper.pdf

Yumin Suh:

Kamil Adamczewski:

Kyoung Mu Lee: http://cv.snu.ac.kr/kmlee/

【Region matching】A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching

PDF: ./papers/Nguyen_A_Flexible_Tensor_2015_CVPR_paper.pdf

Quynh Nguyen:

Antoine Gautier:

Matthias Hein:

【Image editing】Blur Kernel Estimation Using Normalized Color-Line Prior

PDF: ./papers/Lai_Blur_Kernel_Estimation_2015_CVPR_paper.pdf

Wei-Sheng Lai:

Jian-Jiun Ding:

Yen-Yu Lin:

Yung-Yu Chuang:

【Image editing】A Geodesic-Preserving Method for Image Warping

PDF: ./papers/Li_A_Geodesic-Preserving_Method_2015_CVPR_paper.pdf

Dongping Li:

Kaiming He: http://research.microsoft.com/en-us/um/people/kahe/

Jian Sun: http://research.microsoft.com/en-us/groups/vc/

Kun Zhou:

【Image editing】Robust Regression on Image Manifolds for Ordered Label Denoising

PDF: ./papers/Wu_Robust_Regression_on_2015_CVPR_paper.pdf

Hui Wu:

Richard Souvenir:

【Image editing】Kernel Fusion for Better Image Deblurring

PDF: ./papers/Mai_Kernel_Fusion_for_2015_CVPR_paper.pdf

Long Mai:

Feng Liu: http://web.cecs.pdx.edu/~fliu/

【Image editing】Image Denoising via Adaptive Soft-Thresholding Based on Non-Local Samples

PDF: ./papers/Liu_Image_Denoising_via_2015_CVPR_paper.pdf

Hangfan Liu:

Ruiqin Xiong:

Jian Zhang:

Wen Gao:

【Image editing】Just Noticeable Defocus Blur Detection and Estimation

PDF: ./papers/Shi_Just_Noticeable_Defocus_2015_CVPR_paper.pdf

Jianping Shi:

Li Xu:

Jiaya Jia: http://www.cse.cuhk.edu.hk/leojia/

【Image editing】Dual Domain Filters Based Texture and Structure Preserving Image Non-Blind Deconvolution

PDF: ./papers/Yang_Dual_Domain_Filters_2015_CVPR_paper.pdf

Hang Yang:

Ming Zhu:

Yan Niu:

Yujing Guan:

Zhongbo Zhang:

【Image editing】Learning a Convolutional Neural Network for Non-Uniform Motion Blur Removal

PDF: ./papers/Sun_Learning_a_Convolutional_2015_CVPR_paper.pdf

Jian Sun: http://research.microsoft.com/en-us/groups/vc/

Wenfei Cao:

Zongben Xu:

Jean Ponce: http://www.di.ens.fr/willow/

【Image editing】Adaptive As-Natural-As-Possible Image Stitching

PDF: ./papers/Lin_Adaptive_As-Natural-As-Possible_Image_2015_CVPR_paper.pdf

Chung-Ching Lin:

Sharathchandra U. Pankanti:

Karthikeyan Natesan Ramamurthy:

Aleksandr Y. Aravkin:

【Image editing】Phase-Based Frame Interpolation for Video

PDF: ./papers/Meyer_Phase-Based_Frame_Interpolation_2015_CVPR_paper.pdf

Simone Meyer:

Oliver Wang:

Henning Zimmer:

Max Grosse:

Alexander Sorkine-Hornung:

【Image editing】Protecting Against Screenshots: An Image Processing Approach

PDF: ./papers/Chia_Protecting_Against_Screenshots_2015_CVPR_paper.pdf

Alex Yong-Sang Chia:

Udana Bandara:

Xiangyu Wang:

Hiromi Hirano:

【Image editing】Rolling Shutter Motion Deblurring

PDF: ./papers/Su_Rolling_Shutter_Motion_2015_CVPR_paper.pdf

Shuochen Su:

Wolfgang Heidrich:

【Image editing】Bayesian Inference for Neighborhood Filters With Application in Denoising

PDF: ./papers/Huang_Bayesian_Inference_for_2015_CVPR_paper.pdf

Chao-Tsung Huang:

【Image editing】Casual Stereoscopic Panorama Stitching

PDF: ./papers/Zhang_Casual_Stereoscopic_Panorama_2015_CVPR_paper.pdf

Fan Zhang:

Feng Liu: http://web.cecs.pdx.edu/~fliu/

【Image editing】Sparse Depth Super Resolution

PDF: ./papers/Lu_Sparse_Depth_Super_2015_CVPR_paper.pdf

Jiajun Lu:

David Forsyth: http://luthuli.cs.uiuc.edu/~daf/

【Image editing】Defocus Deblurring and Superresolution for Time-of-Flight Depth Cameras

PDF: ./papers/Xiao_Defocus_Deblurring_and_2015_CVPR_paper.pdf

Lei Xiao:

Felix Heide:

Matthew O’Toole:

Andreas Kolb:

Matthias B. Hullin:

Kyros Kutulakos:

Wolfgang Heidrich:

【Image editing】Burst Deblurring: Removing Camera Shake Through Fourier Burst Accumulation

PDF: ./papers/Delbracio_Burst_Deblurring_Removing_2015_CVPR_paper.pdf

Mauricio Delbracio:

Guillermo Sapiro:

【Image editing】SOM: Semantic Obviousness Metric for Image Quality Assessment

PDF: ./papers/Zhang_SOM_Semantic_Obviousness_2015_CVPR_paper.pdf

Peng Zhang:

Wengang Zhou:

Lei Wu:

Houqiang Li:

【Image editing】Reflection Removal Using Ghosting Cues

PDF: ./papers/Shih_Reflection_Removal_Using_2015_CVPR_paper.pdf

Yi Chang Shih:

Dilip Krishnan:

Frédo Durand:

William T. Freeman:

【Image editing】Discriminative Learning of Iteration-Wise Priors for Blind Deconvolution

PDF: ./papers/Zuo_Discriminative_Learning_of_2015_CVPR_paper.pdf

Wangmeng Zuo:

Dongwei Ren:

Shuhang Gu:

Liang Lin: http://ss.sysu.edu.cn/~ll/index.html

Lei Zhang:

【Image editing】Bayesian Sparse Representation for Hyperspectral Image Super Resolution

PDF: ./papers/Akhtar_Bayesian_Sparse_Representation_2015_CVPR_paper.pdf

Naveed Akhtar:

Faisal Shafait:

Ajmal Mian:

【Image editing】Uni HIST: A Unified Framework for Image Restoration With Marginal Histogram Constraints

PDF: ./papers/Mei_UniHIST_A_Unified_2015_CVPR_paper.pdf

Xing Mei:

Weiming Dong:

Bao-Gang Hu:

Siwei Lyu:

【Image editing】Fast and Accurate Image Upscaling With Super-Resolution Forests

PDF: ./papers/Schulter_Fast_and_Accurate_2015_CVPR_paper.pdf

Samuel Schulter:

Christian Leistner:

Horst Bischof: http://www.icg.tugraz.at/Members/bischof

【Image editing】Intra-Frame Deblurring by Leveraging Inter-Frame Camera Motion

PDF: ./papers/Zhang_Intra-Frame_Deblurring_by_2015_CVPR_paper.pdf

Haichao Zhang:

Jianchao Yang: http://www.ifp.illinois.edu/~jyang29/

【Image editing】Video Magnification in Presence of Large Motions

PDF: ./papers/Elgharib_Video_Magnification_in_2015_CVPR_paper.pdf

Mohamed Elgharib:

Mohamed Hefeeda:

Frédo Durand:

William T. Freeman:

【Image editing】Reflection Removal for In-Vehicle Black Box Videos

PDF: ./papers/Simon_Reflection_Removal_for_2015_CVPR_paper.pdf

Christian Simon:

In Kyu Park:

【Image editing】Effective Face Frontalization in Unconstrained Images

PDF: ./papers/Hassner_Effective_Face_Frontalization_2015_CVPR_paper.pdf

Tal Hassner:

Shai Harel:

Eran Paz:

Roee Enbar:

【Image editing】Generalized Video Deblurring for Dynamic Scenes

PDF: ./papers/Kim_Generalized_Video_Deblurring_2015_CVPR_paper.pdf

Tae Hyun Kim:

Kyoung Mu Lee: http://cv.snu.ac.kr/kmlee/

【Image editing】Single Image Super-Resolution From Transformed Self-Exemplars

PDF: ./papers/Huang_Single_Image_Super-Resolution_2015_CVPR_paper.pdf

Jia-Bin Huang:

Abhishek Singh:

Narendra Ahuja: http://vision.ai.illinois.edu/publications.htm

【Image editing】L0TV: A New Method for Image Restoration in the Presence of Impulse Noise

PDF: ./papers/Yuan_L0TV_A_New_2015_CVPR_paper.pdf

Ganzhao Yuan:

Bernard Ghanem:

【Image editing】On Learning Optimized Reaction Diffusion Processes for Effective Image Restoration

PDF: ./papers/Chen_On_Learning_Optimized_2015_CVPR_paper.pdf

Yunjin Chen:

Wei Yu:

Thomas Pock:

【Image editing】Simulating Makeup Through Physics-Based Manipulation of Intrinsic Image Layers

PDF: ./papers/Li_Simulating_Makeup_Through_2015_CVPR_paper.pdf

Chen Li:

Kun Zhou:

Stephen Lin:

【Image editing】Learning To Look Up: Realtime Monocular Gaze Correction Using Machine Learning

PDF: ./papers/Kononenko_Learning_To_Look_2015_CVPR_paper.pdf

Daniil Kononenko:

Victor Lempitsky:

【Image editing】Mirror, Mirror on the Wall, Tell Me, Is the Error Small?

PDF: ./papers/Yang_Mirror_Mirror_on_2015_CVPR_paper.pdf

Heng Yang:

Ioannis Patras:

【Image editing】Face Video Retrieval With Image Query via Hashing Across Euclidean Space and Riemannian Manifold

PDF: ./papers/Li_Face_Video_Retrieval_2015_CVPR_paper.pdf

Yan Li:

Ruiping Wang:

Zhiwu Huang:

Shiguang Shan:

Xilin Chen:

【Image editing】Robust Image Filtering Using Joint Static and Dynamic Guidance

PDF: ./papers/Ham_Robust_Image_Filtering_2015_CVPR_paper.pdf

Bumsub Ham:

Minsu Cho:

Jean Ponce: http://www.di.ens.fr/willow/

【Image editing】Solving Multiple Square Jigsaw Puzzles With Missing Pieces

PDF: ./papers/Paikin_Solving_Multiple_Square_2015_CVPR_paper.pdf

Genady Paikin:

Ayellet Tal: http://webee.technion.ac.il/labs/cgm/

【Image editing】A Dynamic Convolutional Layer for Short Range Weather Prediction

PDF: ./papers/Klein_A_Dynamic_Convolutional_2015_CVPR_paper.pdf

Benjamin Klein:

Lior Wolf:

Yehuda Afek:

【Image editing】Transport-Based Single Frame Super Resolution of Very Low Resolution Face Images

PDF: ./papers/Kolouri_Transport-Based_Single_Frame_2015_CVPR_paper.pdf

Soheil Kolouri:

Gustavo K. Rohde:

【Image editing】HC-Search for Structured Prediction in Computer Vision

PDF: ./papers/Lam_HC-Search_for_Structured_2015_CVPR_paper.pdf

Michael Lam:

Janardhan Rao Doppa:

Sinisa Todorovic: http://web.engr.oregonstate.edu/~sinisa/

Thomas G. Dietterich:

【Image editing】High-Speed Hyperspectral Video Acquisition With a Dual-Camera Architecture

PDF: ./papers/Wang_High-Speed_Hyperspectral_Video_2015_CVPR_paper.pdf

Lizhi Wang:

Zhiwei Xiong:

Dahua Gao:

Guangming Shi:

Wenjun Zeng:

Feng Wu:

【Image editing】Camera Intrinsic Blur Kernel Estimation: A Reliable Framework

PDF: ./papers/Mosleh_Camera_Intrinsic_Blur_2015_CVPR_paper.pdf

Ali Mosleh:

Paul Green:

Emmanuel Onzon:

Isabelle Bégin:

J.M. Pierre Langlois:

【Image editing】Data-Driven Sparsity-Based Restoration of JPEG-Compressed Images in Dual Transform-Pixel Domain

PDF: ./papers/Liu_Data-Driven_Sparsity-Based_Restoration_2015_CVPR_paper.pdf

Xianming Liu:

Xiaolin Wu:

Jiantao Zhou:

Debin Zhao:

【Image editing】Single Image Super-Resolution From Transformed Self-Exemplars

PDF: ./papers/Huang_Single_Image_Super-Resolution_2015_CVPR_paper.pdf

Jia-Bin Huang:

Abhishek Singh:

Narendra Ahuja: http://vision.ai.illinois.edu/publications.htm

【Image editing】Handling Motion Blur in Multi-Frame Super-Resolution

PDF: ./papers/Ma_Handling_Motion_Blur_2015_CVPR_paper.pdf

Ziyang Ma:

Renjie Liao:

Xin Tao:

Li Xu:

Jiaya Jia: http://www.cse.cuhk.edu.hk/leojia/

Enhua Wu:

【Image editing】On Learning Optimized Reaction Diffusion Processes for Effective Image Restoration

PDF: ./papers/Chen_On_Learning_Optimized_2015_CVPR_paper.pdf

Yunjin Chen:

Wei Yu:

Thomas Pock:

【Image editing】L0TV: A New Method for Image Restoration in the Presence of Impulse Noise

PDF: ./papers/Yuan_L0TV_A_New_2015_CVPR_paper.pdf

Ganzhao Yuan:

Bernard Ghanem:

【Image editing】Modeling Deformable Gradient Compositions for Single-Image Super-Resolution

PDF: ./papers/Zhu_Modeling_Deformable_Gradient_2015_CVPR_paper.pdf

Yu Zhu:

Yanning Zhang:

Boyan Bonev:

Alan L. Yuille:

【Image editing】Generalized Video Deblurring for Dynamic Scenes

PDF: ./papers/Kim_Generalized_Video_Deblurring_2015_CVPR_paper.pdf

Tae Hyun Kim:

Kyoung Mu Lee: http://cv.snu.ac.kr/kmlee/

【Computational photography】A Light Transport Model for Mitigating Multipath Interference in Time-of-Flight Sensors

PDF: ./papers/Naik_A_Light_Transport_2015_CVPR_paper.pdf

Nikhil Naik:

Achuta Kadambi:

Christoph Rhemann:

Shahram Izadi:

Ramesh Raskar:

Sing Bing Kang:

【Computational photography】Privacy Preserving Optics for Miniature Vision Sensors

PDF: ./papers/Pittaluga_Privacy_Preserving_Optics_2015_CVPR_paper.pdf

Francesco Pittaluga:

Sanjeev J. Koppal:

【Computational photography】Neuroaesthetics in Fashion: Modeling the Perception of Fashionability

PDF: ./papers/Simo-Serra_Neuroaesthetics_in_Fashion_2015_CVPR_paper.pdf

Edgar Simo-Serra:

Sanja Fidler:

Francesc Moreno-Noguer:

Raquel Urtasun: http://www.cs.toronto.edu/~urtasun/

【Computational photography】Effective Learning-Based Illuminant Estimation Using Simple Features

PDF: ./papers/Cheng_Effective_Learning-Based_Illuminant_2015_CVPR_paper.pdf

Dongliang Cheng:

Brian Price:

Scott Cohen:

Michael S. Brown:

【Computational photography】Illumination and Reflectance Spectra Separation of a Hyperspectral Image Meets Low-Rank Matrix Factorization

PDF: ./papers/Zheng_Illumination_and_Reflectance_2015_CVPR_paper.pdf

Yinqiang Zheng:

Imari Sato:

Yoichi Sato:

【Computational photography】Efficient Illuminant Estimation for Color Constancy Using Grey Pixels

PDF: ./papers/Yang_Efficient_Illuminant_Estimation_2015_CVPR_paper.pdf

Kai-Fu Yang:

Shao-Bing Gao:

Yong-Jie Li:

【Computational photography】Learning Lightness From Human Judgement on Relative Reflectance

PDF: ./papers/Narihira_Learning_Lightness_From_2015_CVPR_paper.pdf

Takuya Narihira:

Michael Maire: http://ttic.uchicago.edu/~mmaire/

Stella X. Yu:

【Computational photography】Don’t Just Listen, Use Your Imagination: Leveraging Visual Common Sense for Non-Visual Tasks

PDF: ./papers/Lin_Dont_Just_Listen_2015_CVPR_paper.pdf

Xiao Lin:

Devi Parikh: https://filebox.ece.vt.edu/~parikh/

【Computational photography】Show and Tell: A Neural Image Caption Generator

PDF: ./papers/Vinyals_Show_and_Tell_2015_CVPR_paper.pdf

Oriol Vinyals:

Alexander Toshev:

Samy Bengio:

Dumitru Erhan:

【Computational photography】Saturation-Preserving Specular Reflection Separation

PDF: ./papers/Liu_Saturation-Preserving_Specular_Reflection_2015_CVPR_paper.pdf

Yuanliu Liu:

Zejian Yuan:

Nanning Zheng:

Yang Wu:

【Computational photography】Light Field From Micro-Baseline Image Pair

PDF: ./papers/Zhang_Light_Field_From_2015_CVPR_paper.pdf

Zhoutong Zhang:

Yebin Liu: http://media.au.tsinghua.edu.cn/liuyebin.jsp

Qionghai Dai: http://media.au.tsinghua.edu.cn/people.jsp

【Computational photography】Robust Multi-Image Based Blind Face Hallucination

PDF: ./papers/Jin_Robust_Multi-Image_Based_2015_CVPR_paper.pdf

Yonggang Jin:

Christos-Savvas Bouganis:

【Computational photography】An Approximate Shading Model for Object Relighting

PDF: ./papers/Liao_An_Approximate_Shading_2015_CVPR_paper.pdf

Zicheng Liao:

Kevin Karsch:

David Forsyth: http://luthuli.cs.uiuc.edu/~daf/

【Computational photography】Recovering Inner Slices of Translucent Objects by Multi-Frequency Illumination

PDF: ./papers/Tanaka_Recovering_Inner_Slices_2015_CVPR_paper.pdf

Kenichiro Tanaka:

Yasuhiro Mukaigawa:

Hiroyuki Kubo:

Yasuyuki Matsushita:

Yasushi Yagi:

【Texture analysis】Texture Representations for Image and Video Synthesis

PDF: ./papers/Georgiadis_Texture_Representations_for_2015_CVPR_paper.pdf

Georgios Georgiadis:

Alessandro Chiuso:

Stefano Soatto: http://vision.ucla.edu/projects.html

【Texture analysis】Reflectance Hashing for Material Recognition

PDF: ./papers/Zhang_Reflectance_Hashing_for_2015_CVPR_paper.pdf

Hang Zhang:

Kristin Dana:

Ko Nishino:

【Texture analysis】Material Recognition in the Wild With the Materials in Context Database

PDF: ./papers/Bell_Material_Recognition_in_2015_CVPR_paper.pdf

Sean Bell:

Paul Upchurch:

Noah Snavely:

Kavita Bala:

【Texture analysis】Deep Filter Banks for Texture Recognition and Segmentation

PDF: ./papers/Cimpoi_Deep_Filter_Banks_2015_CVPR_paper.pdf

Mircea Cimpoi:

Subhransu Maji: http://people.cs.umass.edu/~smaji/

Andrea Vedaldi: http://www.robots.ox.ac.uk/~vedaldi/index.html

【Texture analysis】Fusing Subcategory Probabilities for Texture Classification

PDF: ./papers/Song_Fusing_Subcategory_Probabilities_2015_CVPR_paper.pdf

Yang Song:

Weidong Cai:

Qing Li:

Fan Zhang:

David Dagan Feng:

Heng Huang:

【Texture analysis】Material Classification With Thermal Imagery

PDF: ./papers/Saponaro_Material_Classification_With_2015_CVPR_paper.pdf

Philip Saponaro:

Scott Sorensen:

Abhishek Kolagunda:

Chandra Kambhamettu:

【Data clustering】Web Scale Photo Hash Clustering on A Single Machine

PDF: ./papers/Gong_Web_Scale_Photo_2015_CVPR_paper.pdf

Yunchao Gong:

Marcin Pawlowski:

Fei Yang:

Louis Brandy:

Lubomir Bourdev:

Rob Fergus: http://cs.nyu.edu/~fergus/

【Data clustering】Structured Sparse Subspace Clustering: A Unified Optimization Framework

PDF: ./papers/Li_Structured_Sparse_Subspace_2015_CVPR_paper.pdf

Chun-Guang Li:

René Vidal:

【Data clustering】Small-Variance Nonparametric Clustering on the Hypersphere

PDF: ./papers/Straub_Small-Variance_Nonparametric_Clustering_2015_CVPR_paper.pdf

Julian Straub:

Trevor Campbell:

Jonathan P. How:

John W. Fisher III:

【Data clustering】Diversity-Induced Multi-View Subspace Clustering

PDF: ./papers/Cao_Diversity-Induced_Multi-View_Subspace_2015_CVPR_paper.pdf

Xiaochun Cao:

Changqing Zhang:

Huazhu Fu:

Si Liu:

Hua Zhang:

【Data clustering】Elastic-Net Regularization of Singular Values for Robust Subspace Learning

PDF: ./papers/Kim_Elastic-Net_Regularization_of_2015_CVPR_paper.pdf

Eunwoo Kim:

Minsik Lee:

Songhwai Oh:

【Data clustering】Membership Representation for Detecting Block-Diagonal Structure in Low-Rank or Sparse Subspace Clustering

PDF: ./papers/Lee_Membership_Representation_for_2015_CVPR_paper.pdf

Minsik Lee:

Jieun Lee:

Hyeogjin Lee:

Nojun Kwak:

【Data clustering】Subspace Clustering by Mixture of Gaussian Regression

PDF: ./papers/Li_Subspace_Clustering_by_2015_CVPR_paper.pdf

Baohua Li:

Ying Zhang:

Zhouchen Lin: http://www.cis.pku.edu.cn/faculty/vision/zlin/zlin.htm

Huchuan Lu: http://ice.dlut.edu.cn/lu/index.html

【Data clustering】KL Divergence Based Agglomerative Clustering for Automated Vitiligo Grading

PDF: ./papers/Gupta_KL_Divergence_Based_2015_CVPR_paper.pdf

Mithun Das Gupta:

Srinidhi Srinivasa:

Madhukara J.:

Meryl Antony:

【Data clustering】Fusion Moves for Correlation Clustering

PDF: ./papers/Beier_Fusion_Moves_for_2015_CVPR_paper.pdf

Thorsten Beier:

Fred A. Hamprecht:

Jörg H. Kappes:

【Data clustering】Sense Discovery via Co-Clustering on Images and Text

PDF: ./papers/Chen_Sense_Discovery_via_2015_CVPR_paper.pdf

Xinlei Chen:

Alan Ritter:

Abhinav Gupta: http://www.cs.cmu.edu/~abhinavg/

Tom Mitchell:

【Space reduction】Automatic Construction Of Robust Spherical Harmonic Subspaces

PDF: ./papers/Snape_Automatic_Construction_Of_2015_CVPR_paper.pdf

Patrick Snape:

Yannis Panagakis:

Stefanos Zafeiriou:

【Space reduction】From Dictionary of Visual Words to Subspaces: Locality-Constrained Affine Subspace Coding

PDF: ./papers/Li_From_Dictionary_of_2015_CVPR_paper.pdf

Peihua Li:

Xiaoxiao Lu:

Qilong Wang:

【Space reduction】Efficient SDP Inference for Fully-Connected CRFs Based on Low-Rank Decomposition

PDF: ./papers/Wang_Efficient_SDP_Inference_2015_CVPR_paper.pdf

Peng Wang:

Chunhua Shen:

Anton van den Hengel:

【Space reduction】Sparse Projections for High-Dimensional Binary Codes

PDF: ./papers/Xia_Sparse_Projections_for_2015_CVPR_paper.pdf

Yan Xia:

Kaiming He: http://research.microsoft.com/en-us/um/people/kahe/

Pushmeet Kohli: http://research.microsoft.com/en-us/um/people/pkohli/

Jian Sun: http://research.microsoft.com/en-us/groups/vc/

【Machine learning】Supervised Discrete Hashing

PDF: ./papers/Shen_Supervised_Discrete_Hashing_2015_CVPR_paper.pdf

Fumin Shen:

Chunhua Shen:

Wei Liu:

Heng Tao Shen:

【Machine learning】Landmarks-Based Kernelized Subspace Alignment for Unsupervised Domain Adaptation

PDF: ./papers/Aljundi_Landmarks-Based_Kernelized_Subspace_2015_CVPR_paper.pdf

Rahaf Aljundi:

Rémi Emonet:

Damien Muselet:

Marc Sebban:

【Machine learning】Learning Multiple Visual Tasks While Discovering Their Structure

PDF: ./papers/Ciliberto_Learning_Multiple_Visual_2015_CVPR_paper.pdf

Carlo Ciliberto:

Lorenzo Rosasco:

Silvia Villa:

【Machine learning】A Metric Parametrization for Trifocal Tensors With Non-Colinear Pinholes

PDF: ./papers/Leonardos_A_Metric_Parametrization_2015_CVPR_paper.pdf

Spyridon Leonardos:

Roberto Tron:

Kostas Daniilidis:

【Machine learning】Deep Transfer Metric Learning

PDF: ./papers/Hu_Deep_Transfer_Metric_2015_CVPR_paper.pdf

Junlin Hu:

Jiwen Lu:

Yap-Peng Tan:

【Machine learning】Grasp Type Revisited: A Modern Perspective on a Classical Feature for Vision

PDF: ./papers/Yang_Grasp_Type_Revisited_2015_CVPR_paper.pdf

Yezhou Yang: http://www.umiacs.umd.edu/~yzyang/

Cornelia Fermüller:

Yi Li: http://users.cecs.anu.edu.au/~yili/

Yiannis Aloimonos: http://www.cfar.umd.edu/~yiannis/

【Machine learning】Graph-Based Simplex Method for Pairwise Energy Minimization With Binary Variables

PDF: ./papers/Prusa_Graph-Based_Simplex_Method_2015_CVPR_paper.pdf

Daniel Průša:

【Machine learning】Maximum Persistency via Iterative Relaxed Inference With Graphical Models

PDF: ./papers/Shekhovtsov_Maximum_Persistency_via_2015_CVPR_paper.pdf

Alexander Shekhovtsov: http://cmp.felk.cvut.cz/~shekhovt/

Paul Swoboda:

Bogdan Savchynskyy:

【Machine learning】Hashing With Binary Autoencoders

PDF: ./papers/Carreira-Perpinan_Hashing_With_Binary_2015_CVPR_paper.pdf

Miguel Á. Carreira-Perpiñán:

Ramin Raziperchikolaei:

【Machine learning】Global Refinement of Random Forest

PDF: ./papers/Ren_Global_Refinement_of_2015_CVPR_paper.pdf

Shaoqing Ren:

Xudong Cao:

Yichen Wei:

Jian Sun: http://research.microsoft.com/en-us/groups/vc/

【Machine learning】Discriminative and Consistent Similarities in Instance-Level Multiple Instance Learning

PDF: ./papers/Rastegari_Discriminative_and_Consistent_2015_CVPR_paper.pdf

Mohammad Rastegari:

Hannaneh Hajishirzi:

Ali Farhadi: http://homes.cs.washington.edu/~ali/index.html

【Machine learning】Transformation of Markov Random Fields for Marginal Distribution Estimation

PDF: ./papers/Saito_Transformation_of_Markov_2015_CVPR_paper.pdf

Masaki Saito:

Takayuki Okatani:

【Machine learning】A Mixed Bag of Emotions: Model, Predict, and Transfer Emotion Distributions

PDF: ./papers/Peng_A_Mixed_Bag_2015_CVPR_paper.pdf

Kuan-Chuan Peng:

Tsuhan Chen: http://chenlab.ece.cornell.edu/

Amir Sadovnik:

Andrew C. Gallagher:

【Machine learning】Efficient Parallel Optimization for Potts Energy With Hierarchical Fusion

PDF: ./papers/Veksler_Efficient_Parallel_Optimization_2015_CVPR_paper.pdf

Olga Veksler: http://www.csd.uwo.ca/faculty/olga/

【Machine learning】Functional Correspondence by Matrix Completion

PDF: ./papers/Kovnatsky_Functional_Correspondence_by_2015_CVPR_paper.pdf

Artiom Kovnatsky:

Michael M. Bronstein:

Xavier Bresson:

Pierre Vandergheynst:

【Machine learning】MRF Optimization by Graph Approximation

PDF: ./papers/Kim_MRF_Optimization_by_2015_CVPR_paper.pdf

Wonsik Kim:

Kyoung Mu Lee: http://cv.snu.ac.kr/kmlee/

【Machine learning】Bayesian Adaptive Matrix Factorization With Automatic Model Selection

PDF: ./papers/Chen_Bayesian_Adaptive_Matrix_2015_CVPR_paper.pdf

Peixian Chen:

Naiyan Wang:

Nevin L. Zhang:

Dit-Yan Yeung: http://www.cse.ust.hk/~dyyeung/www/Home.html

【Machine learning】Bilinear Random Projections for Locality-Sensitive Binary Codes

PDF: ./papers/Kim_Bilinear_Random_Projections_2015_CVPR_paper.pdf

Saehoon Kim:

Seungjin Choi:

【Machine learning】Classifier Adaptation at Prediction Time

PDF: ./papers/Royer_Classifier_Adaptation_at_2015_CVPR_paper.pdf

Amélie Royer:

Christoph H. Lampert: http://pub.ist.ac.at/~chl/

【Machine learning】Vis KE: Visual Knowledge Extraction and Question Answering by Visual Verification of Relation Phrases

PDF: ./papers/Sadeghi_VisKE_Visual_Knowledge_2015_CVPR_paper.pdf

Fereshteh Sadeghi:

Santosh K. Kumar Divvala:

Ali Farhadi: http://homes.cs.washington.edu/~ali/index.html

【Machine learning】A Graphical Model Approach for Matching Partial Signatures

PDF: ./papers/Du_A_Graphical_Model_2015_CVPR_paper.pdf

Xianzhi Du:

David Doermann:

Wael Abd-Almageed:

【Machine learning】From Captions to Visual Concepts and Back

PDF: ./papers/Fang_From_Captions_to_2015_CVPR_paper.pdf

Hao Fang:

Saurabh Gupta:

Forrest Iandola:

Rupesh K. Srivastava:

Li Deng:

Piotr Dollár:

Jianfeng Gao:

Xiaodong He:

Margaret Mitchell:

John C. Platt:

Lawrence Zitnick:

Geoffrey Zweig:

【Machine learning】GRSA: Generalized Range Swap Algorithm for the Efficient Optimization of MRFs

PDF: ./papers/Liu_GRSA_Generalized_Range_2015_CVPR_paper.pdf

Kangwei Liu:

Junge Zhang:

Peipei Yang:

Kaiqi Huang:

【Machine learning】Active Sample Selection and Correction Propagation on a Gradually-Augmented Graph

PDF: ./papers/Su_Active_Sample_Selection_2015_CVPR_paper.pdf

Hang Su:

Zhaozheng Yin:

Takeo Kanade:

Seungil Huh:

【Machine learning】Superdifferential Cuts for Binary Energies

PDF: ./papers/Taniai_Superdifferential_Cuts_for_2015_CVPR_paper.pdf

Tatsunori Taniai:

Yasuyuki Matsushita:

Takeshi Naemura:

【Machine learning】Semi-Supervised Learning With Explicit Relationship Regularization

PDF: ./papers/Kim_Semi-Supervised_Learning_With_2015_CVPR_paper.pdf

Kwang In Kim:

James Tompkin:

Hanspeter Pfister:

Christian Theobalt:

【Machine learning】Reweighted Laplace Prior Based Hyperspectral Compressive Sensing for Unknown Sparsity

PDF: ./papers/Zhang_Reweighted_Laplace_Prior_2015_CVPR_paper.pdf

Lei Zhang:

Wei Wei:

Yanning Zhang:

Chunna Tian:

Fei Li:

【Machine learning】Embedded Phase Shifting: Robust Phase Shifting With Embedded Signals

PDF: ./papers/Moreno_Embedded_Phase_Shifting_2015_CVPR_paper.pdf

Daniel Moreno:

Kilho Son:

Gabriel Taubin:

【Machine learning】Shape and Light Directions From Shading and Polarization

PDF: ./papers/Thanh_Shape_and_Light_2015_CVPR_paper.pdf

Trung Ngo Thanh:

Hajime Nagahara:

Rin-ichiro Taniguchi:

【Machine learning】Beyond Mahalanobis Metric: Cayley-Klein Metric Learning

PDF: ./papers/Bi_Beyond_Mahalanobis_Metric_2015_CVPR_paper.pdf

Yanhong Bi:

Bin Fan:

Fuchao Wu:

【Machine learning】FPA-CS: Focal Plane Array-Based Compressive Imaging in Short-Wave Infrared

PDF: ./papers/Chen_FPA-CS_Focal_Plane_2015_CVPR_paper.pdf

Huaijin Chen:

Salman Asif:

Aswin C. Sankaranarayanan:

Ashok Veeraraghavan:

【Machine learning】Efficient Globally Optimal Consensus Maximisation With Tree Search

PDF: ./papers/Chin_Efficient_Globally_Optimal_2015_CVPR_paper.pdf

Tat-Jun Chin:

Pulak Purkait:

Anders Eriksson:

David Suter:

【Machine learning】On the Minimal Problems of Low-Rank Matrix Factorization

PDF: ./papers/Jiang_On_the_Minimal_2015_CVPR_paper.pdf

Fangyuan Jiang:

Magnus Oskarsson:

Kalle Åström:

【Machine learning】Becoming the Expert – Interactive Multi-Class Machine Teaching

PDF: ./papers/Johns_Becoming_the_Expert_2015_CVPR_paper.pdf

Edward Johns:

Oisin Mac Aodha:

Gabriel J. Brostow:

【Machine learning】Global Supervised Descent Method

PDF: ./papers/Xiong_Global_Supervised_Descent_2015_CVPR_paper.pdf

Xuehan Xiong:

Fernando De la Torre:

【Machine learning】Image Specificity

PDF: ./papers/Jas_Image_Specificity_2015_CVPR_paper.pdf

Mainak Jas:

Devi Parikh: https://filebox.ece.vt.edu/~parikh/

【Machine learning】A Multi-Plane Block-Coordinate Frank-Wolfe Algorithm for Training Structural SVMs With a Costly Max-Oracle

PDF: ./papers/Shah_A_Multi-Plane_Block-Coordinate_2015_CVPR_paper.pdf

Neel Shah:

Vladimir Kolmogorov: http://pub.ist.ac.at/~vnk/

Christoph H. Lampert: http://pub.ist.ac.at/~chl/

【Machine learning】Three Viewpoints Toward Exemplar SVM

PDF: ./papers/Kobayashi_Three_Viewpoints_Toward_2015_CVPR_paper.pdf

Takumi Kobayashi: https://staff.aist.go.jp/takumi.kobayashi/index.html

【Machine learning】Geodesic Exponential Kernels: When Curvature and Linearity Conflict

PDF: ./papers/Feragen_Geodesic_Exponential_Kernels_2015_CVPR_paper.pdf

Aasa Feragen:

François Lauze:

Søren Hauberg:

【Machine learning】Transformation-Invariant Convolutional Jungles

PDF: ./papers/Laptev_Transformation-Invariant_Convolutional_Jungles_2015_CVPR_paper.pdf

Dmitry Laptev:

Joachim M. Buhmann:

【Machine learning】Exemplar SVMs as Visual Feature Encoders

PDF: ./papers/Zepeda_Exemplar_SVMs_as_2015_CVPR_paper.pdf

Joaquin Zepeda:

Patrick Pérez:

【Machine learning】Image Partitioning Into Convex Polygons

PDF: ./papers/Duan_Image_Partitioning_Into_2015_CVPR_paper.pdf

Liuyun Duan:

Florent Lafarge:

【Machine learning】Self Scaled Regularized Robust Regression

PDF: ./papers/Wang_Self_Scaled_Regularized_2015_CVPR_paper.pdf

Yin Wang:

Caglayan Dicle:

Mario Sznaier:

Octavia Camps:

【Machine learning】The k-Support Norm and Convex Envelopes of Cardinality and Rank

PDF: ./papers/Eriksson_The_k-Support_Norm_2015_CVPR_paper.pdf

Anders Eriksson:

Trung Thanh Pham:

Tat-Jun Chin:

Ian Reid: http://www.robots.ox.ac.uk/~ian/

【Machine learning】Metric Imitation by Manifold Transfer for Efficient Vision Applications

PDF: ./papers/Dai_Metric_Imitation_by_2015_CVPR_paper.pdf

Dengxin Dai:

Till Kroeger:

Radu Timofte:

Luc Van Gool: http://www.vision.ee.ethz.ch/

【Machine learning】Generalized Tensor Total Variation Minimization for Visual Data Recovery

PDF: ./papers/Guo_Generalized_Tensor_Total_2015_CVPR_paper.pdf

Xiaojie Guo:

Yi Ma: http://yima.csl.illinois.edu/

【Machine learning】Active Learning for Structured Probabilistic Models With Histogram Approximation

PDF: ./papers/Sun_Active_Learning_for_2015_CVPR_paper.pdf

Qing Sun:

Ankit Laddha:

Dhruv Batra:

【Machine learning】Learning With Dataset Bias in Latent Subcategory Models

PDF: ./papers/Stamos_Learning_With_Dataset_2015_CVPR_paper.pdf

Dimitris Stamos:

Samuele Martelli:

Moin Nabi:

Andrew Mc Donald:

Vittorio Murino:

Massimiliano Pontil:

【Machine learning】Unifying Holistic and Parts-Based Deformable Model Fitting

PDF: ./papers/Alabort-i-Medina_Unifying_Holistic_and_2015_CVPR_paper.pdf

Joan Alabort-i-Medina:

Stefanos Zafeiriou:

【Machine learning】Fine-Grained Visual Categorization via Multi-Stage Metric Learning

PDF: ./papers/Qian_Fine-Grained_Visual_Categorization_2015_CVPR_paper.pdf

Qi Qian:

Rong Jin:

Shenghuo Zhu: http://www.nec-labs.com/~zsh/

Yuanqing Lin:

【Machine learning】Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture

PDF: ./papers/Perronnin_Fisher_Vectors_Meet_2015_CVPR_paper.pdf

Florent Perronnin:

Diane Larlus:

【Machine learning】Learning to Segment Under Various Forms of Weak Supervision

PDF: ./papers/Xu_Learning_to_Segment_2015_CVPR_paper.pdf

Jia Xu:

Alexander G. Schwing:

Raquel Urtasun: http://www.cs.toronto.edu/~urtasun/

【Machine learning】Understanding Classifier Errors by Examining Influential Neighbors

PDF: ./papers/Kabra_Understanding_Classifier_Errors_2015_CVPR_paper.pdf

Mayank Kabra:

Alice Robie:

Kristin Branson:

【Machine learning】Riemannian Coding and Dictionary Learning: Kernels to the Rescue

PDF: ./papers/Harandi_Riemannian_Coding_and_2015_CVPR_paper.pdf

Mehrtash Harandi:

Mathieu Salzmann:

【Machine learning】Joint Calibration of Ensemble of Exemplar SVMs

PDF: ./papers/Modolo_Joint_Calibration_of_2015_CVPR_paper.pdf

Davide Modolo:

Alexander Vezhnevets:

Olga Russakovsky:

Vittorio Ferrari: http://groups.inf.ed.ac.uk/calvin/index.html

【Machine learning】Matrix Completion for Resolving Label Ambiguity

PDF: ./papers/Chen_Matrix_Completion_for_2015_CVPR_paper.pdf

Ching-Hui Chen:

Vishal M. Patel:

Rama Chellappa:

【Machine learning】Line-Based Multi-Label Energy Optimization for Fisheye Image Rectification and Calibration

PDF: ./papers/Zhang_Line-Based_Multi-Label_Energy_2015_CVPR_paper.pdf

Mi Zhang:

Jian Yao:

Menghan Xia:

Kai Li:

Yi Zhang:

Yaping Liu:

【Machine learning】Multiple Instance Learning for Soft Bags via Top Instances

PDF: ./papers/Li_Multiple_Instance_Learning_2015_CVPR_paper.pdf

Weixin Li:

Nuno Vasconcelos: http://www.svcl.ucsd.edu/

【Machine learning】Approximate Nearest Neighbor Fields in Video

PDF: ./papers/Ben-Zrihem_Approximate_Nearest_Neighbor_2015_CVPR_paper.pdf

Nir Ben-Zrihem:

Lihi Zelnik-Manor: http://lihi.eew.technion.ac.il/

【Machine learning】Fast Randomized Singular Value Thresholding for Nuclear Norm Minimization

PDF: ./papers/Oh_Fast_Randomized_Singular_2015_CVPR_paper.pdf

Tae-Hyun Oh:

Yasuyuki Matsushita:

Yu-Wing Tai:

In So Kweon: http://rcv.kaist.ac.kr/

【Machine learning】A New Retraction for Accelerating the Riemannian Three-Factor Low-Rank Matrix Completion Algorithm

PDF: ./papers/Li_A_New_Retraction_2015_CVPR_paper.pdf

Zhizhong Li:

Deli Zhao:

Zhouchen Lin: http://www.cis.pku.edu.cn/faculty/vision/zlin/zlin.htm

Edward Y. Chang:

【Machine learning】Heteroscedastic Max-Min Distance Analysis

PDF: ./papers/Su_Heteroscedastic_Max-Min_Distance_2015_CVPR_paper.pdf

Bing Su:

Xiaoqing Ding:

Changsong Liu:

Ying Wu:

【Machine learning】Sparse Composite Quantization

PDF: ./papers/Zhang_Sparse_Composite_Quantization_2015_CVPR_paper.pdf

Ting Zhang:

Guo-Jun Qi:

Jinhui Tang:

Jingdong Wang:

【Machine learning】Sparse Representation Classification With Manifold Constraints Transfer

PDF: ./papers/Zhang_Sparse_Representation_Classification_2015_CVPR_paper.pdf

Baochang Zhang:

Alessandro Perina:

Vittorio Murino:

Alessio Del Bue:

【Machine learning】Fa LRR: A Fast Low Rank Representation Solver

PDF: ./papers/Xiao_FaLRR_A_Fast_2015_CVPR_paper.pdf

Shijie Xiao:

Wen Li:

Dong Xu: http://www.ntu.edu.sg/home/dongxu/

Dacheng Tao:

【Machine learning】A Stable Multi-Scale Kernel for Topological Machine Learning

PDF: ./papers/Reininghaus_A_Stable_Multi-Scale_2015_CVPR_paper.pdf

Jan Reininghaus:

Stefan Huber:

Ulrich Bauer:

Roland Kwitt:

【Machine learning】Statistical Inference Models for Image Datasets With Systematic Variations

PDF: ./papers/Kim_Statistical_Inference_Models_2015_CVPR_paper.pdf

Won Hwa Kim:

Barbara B. Bendlin:

Moo K. Chung:

Sterling C. Johnson:

Vikas Singh: http://www.biostat.wisc.edu/~vsingh/

【Machine learning】SWIFT: Sparse Withdrawal of Inliers in a First Trial

PDF: ./papers/Jaberi_SWIFT_Sparse_Withdrawal_2015_CVPR_paper.pdf

Maryam Jaberi:

Marianna Pensky:

Hassan Foroosh:

【Machine learning】Beyond Spatial Pooling: Fine-Grained Representation Learning in Multiple Domains

PDF: ./papers/Li_Beyond_Spatial_Pooling_2015_CVPR_paper.pdf

Chi Li:

Austin Reiter:

Gregory D. Hager:

【Machine learning】More About VLAD: A Leap From Euclidean to Riemannian Manifolds

PDF: ./papers/Faraki_More_About_VLAD_2015_CVPR_paper.pdf

Masoud Faraki:

Mehrtash T. Harandi:

Fatih Porikli: http://www.porikli.com/

【Machine learning】Classifier Learning With Hidden Information

PDF: ./papers/Wang_Classifier_Learning_With_2015_CVPR_paper.pdf

Ziheng Wang:

Qiang Ji: http://www.ecse.rpi.edu/~qji/

【Machine learning】Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection

PDF: ./papers/Han_Unsupervised_Simultaneous_Orthogonal_2015_CVPR_paper.pdf

Dongyoon Han:

Junmo Kim:

【Machine learning】Iteratively Reweighted Graph Cut for Multi-Label MRFs With Non-Convex Priors

PDF: ./papers/Ajanthan_Iteratively_Reweighted_Graph_2015_CVPR_paper.pdf

Thalaiyasingam Ajanthan:

Richard Hartley:

Mathieu Salzmann:

Hongdong Li:

【Machine learning】Approximate Nearest Neighbor Fields in Video

PDF: ./papers/Ben-Zrihem_Approximate_Nearest_Neighbor_2015_CVPR_paper.pdf

Nir Ben-Zrihem:

Lihi Zelnik-Manor: http://lihi.eew.technion.ac.il/

【Machine learning】Inverting RANSAC: Global Model Detection via Inlier Rate Estimation

PDF: ./papers/Litman_Inverting_RANSAC_Global_2015_CVPR_paper.pdf

Roee Litman:

Simon Korman:

Alexander Bronstein:

Shai Avidan:

【Machine learning】Local High-Order Regularization on Data Manifolds

PDF: ./papers/Kim_Local_High-Order_Regularization_2015_CVPR_paper.pdf

Kwang In Kim:

James Tompkin:

Hanspeter Pfister:

Christian Theobalt:

【Machine learning】Curriculum Learning of Multiple Tasks

PDF: ./papers/Pentina_Curriculum_Learning_of_2015_CVPR_paper.pdf

Anastasia Pentina:

Viktoriia Sharmanska:

Christoph H. Lampert: http://pub.ist.ac.at/~chl/

【Deep learning】Going Deeper With Convolutions

PDF: ./papers/Szegedy_Going_Deeper_With_2015_CVPR_paper.pdf

Christian Szegedy:

Wei Liu:

Yangqing Jia: http://www.eecs.berkeley.edu/~jiayq/

Pierre Sermanet:

Scott Reed:

Dragomir Anguelov:

Dumitru Erhan:

Vincent Vanhoucke:

Andrew Rabinovich:

【Deep learning】Sparse Convolutional Neural Networks

PDF: ./papers/Liu_Sparse_Convolutional_Neural_2015_CVPR_paper.pdf

Baoyuan Liu:

Min Wang:

Hassan Foroosh:

Marshall Tappen:

Marianna Pensky:

【Deep learning】Efficient and Accurate Approximations of Nonlinear Convolutional Networks

PDF: ./papers/Zhang_Efficient_and_Accurate_2015_CVPR_paper.pdf

Xiangyu Zhang:

Jianhua Zou:

Xiang Ming:

Kaiming He: http://research.microsoft.com/en-us/um/people/kahe/

Jian Sun: http://research.microsoft.com/en-us/groups/vc/

【Deep learning】Deep Hashing for Compact Binary Codes Learning

PDF: ./papers/Liong_Deep_Hashing_for_2015_CVPR_paper.pdf

Venice Erin Liong:

Jiwen Lu:

Gang Wang:

Pierre Moulin:

Jie Zhou:

【Deep learning】Fast and Flexible Convolutional Sparse Coding

PDF: ./papers/Heide_Fast_and_Flexible_2015_CVPR_paper.pdf

Felix Heide:

Wolfgang Heidrich:

Gordon Wetzstein:

【Deep learning】Convolutional Neural Networks at Constrained Time Cost

PDF: ./papers/He_Convolutional_Neural_Networks_2015_CVPR_paper.pdf

Kaiming He: http://research.microsoft.com/en-us/um/people/kahe/

Jian Sun: http://research.microsoft.com/en-us/groups/vc/