Xiaowei Zhou(周晓巍)
【Bio】Research Professor at Zhejiang Univ, PhD from HKUST
【Focus on】

  • 2016 CVPR Sparseness Meets Deepness: 3D Human Pose Estimation from Monocular Video
  • 2016 PAMI Sparse Representation for 3D Shape Estimation: A Convex Relaxation Approach
  • 2015 ICCV Multi-Image Matching via Fast Alternating Minimization
  • 2015 CVPR 3D Shape Estimation from 2D Landmarks: A Convex Relaxation Approach
  • 2014 CSUR Low-Rank Modeling and its Applications in Image Analysis
  • 2013 CVPR Active Contours with Group Similarity
  • 2013 PAMI Moving Object Detection by Detecting Contiguous Outliers in the Low-Rank Representation
  • 2012 CVPR Automatic Mitral Leaflet Tracking by Outlier Detection in the Low-rank Representation
  • 2014 BI Piecewise-constant and low-rank approximation for identification of recurrent copy number variations
  • 2013 TCBB Multi-Sample aCGH Data Analysis via Total Variation and Spectral Regularization
  • 2013 TUFF Ultrasound Bio-Microscopic Image Segmentation for Evaluation of Zebrafish Cardiac Function

Limin Wang(王利民)
【Bio】Professor of Nanjing Univ, PhD from CUHK under Xiaoou Tang, PhD from ETHZ under Luc Van Gool.
【Research】Machine Learning, Computational Intelligence, Big Data Mining, Computer Vision, Pattern Recognition, and Cyber Physical Systems.

  • 2018 CVPR Appearance-and-Relation Networks for Video Classification
  • 2017 IJCV Transferring Deep Object and Scene Representations for Event Recognition in Still Images
  • 2017 ICCV Temporal Action Detection with Structured Segment Networks
  • 2017 CVPR UntrimmedNets for Weakly Supervised Action Recognition and Detection
  • 2017 TIP Knowledge Guided Disambiguation for Large-Scale Scene Classification with Multi-Resolution CNNs
  • 2017 TIP Weakly Supervised PatchNets: Describing and Aggregating Local Patches for Scene Recognition
  • 2016 BMVC Two-Stream SR-CNNs for Action Recognition in Videos

Yizhou Wang(王亦洲)
【Bio】Professor at Peking Univ.,Vice Director of CFCS
【Research】Multimedia and mobile computing; Scene and object structure analysis; Computational models for visual attention
and autonomous learning

  • 2016 AAAI Recognizing Actions in 3D using Action-Snippets and Activated Simplices

Hui Huang
【Bio】Professor at Shenzhen Univ., Leader of the Visual Computing Research Center (VCC)
【Research】Computer Graphics and Vision, focusing on Geometric Modeling, Shape Analysis, Point Optimization, Image Processing, 3D/4D Acquisition and Creation.

Wei Wu
【Bio】Professor at Beihang Univ, leader of the Networked Augmented Virtual Environment (NAVE) Research Group
【Research】a broad multi-disciplinary areas of Artificial Intelligence, Mixed Reality, Internet of Things (IoT) and Smart City

Xinggang Wang
【Bio】Associate Prof. at HuaZhong Univ of SC,Leader of a group
【Research】Object detection, video segmentation

  • 2018 Arxiv CCNet: Criss-Cross Attention for Semantic Segmentation
  • 2017 CVPR Multiple Instance Detection Network with Online Instance Classifier Refinement
  • 2017 PR Deep Patch Learning for Weakly Supervised Object Classification and Discovery

Huchuan Lu Huchuan Lu
【Bio】Professor of Dalian Univ. of Technology, leader of a group
【Focus on】Visual Understanding, Statistical Models, Object Recognition and Search, Distributed Learning Systems, High Performance Computing

  • 2018 Arxiv PointSIFT: A SIFT-like Network Module for 3D Point Cloud Semantic Segmentation
  • 2018 BMVC Pose Flow: Efficient Online Pose Tracking
  • 2018 CVPR Weakly and Semi Supervised Human Body Part Parsing via Pose-Guided Knowledge Transfer
  • 2018 TIP Saliency Detection via Absorbing Markov Chain with Learnt Transition Probability
  • 2017 ICCV Amulet: Aggregating Multi-Level Convolutional Features for Salient Object Detection
  • 2017 ICCV Learning Uncertain Convolutional Features for Accurate Saliency Detection
  • 2017 ICCV A Stagewise Refinement Model for Detecting Salient Objects in Images
  • 2017 ICCV Stepwise Metric Promotion for Unsupervised Video Person Re-identification
  • 2017 CVPR Learning to Detect Salient Objects with Image-level Supervision
  • 2017 TIP Person Re-identification with Latent Variables
  • 2017 TIP Dual Deep Network for Visual Tracking
  • 2017 TIP Salient Object Detection via Multiple Instance Learning
  • 2016 ECCV Saliency Detection with Recurrent Fully Convolutional Networks
  • 2016 ECCV Kernelized Subspace Ranking for Saliency Detection
  • 2016 ECCV Pattern Mining Saliency
  • 2016 CVPR Person Re-identification by Bidirectional Learning of Sample-Specific SVMs
  • 2016 TIP Occlusion-Aware Fragment-based Tracking with Spatial-Temporal Consistency
  • 2015 ICCV Visual Tracking with Fully Convolutional Networks
  • 2015 CVPR Saliency Detection via Cellular Automata
  • 2015 CVPR Deep Networks for Saliency Detection via Local Estimation and Global Search
  • 2015 CVPR Subspace Clustering by Mixture of Gaussian Regression
  • 2015 TIP Saliency Region Detection based on Markov Absorption Probabilities
  • 2015 TIP Inverse Sparse Tracker with a Locally Weighted Distance Metric
  • and so on

Wei-Shi Zheng 郑伟诗
【Focus on】Person re-identification, Machine Vision and Intelligence Learning

  • 2017 TIP Robust Depth-based Person Re-identification
  • 2016 WACV An Enhanced Deep Feature Representation for Person Re-identification
  • 2016 CVPR Top-push Video-based Person Re-identification
  • 2015 IJCAI Mirror representation for modeling view-specific transform in person re-identification
  • 2015 TCSV An Asymmetric Distance Model for Cross-view Feature Mapping in Person Re-identification
  • 2015 PR One-pass online learning: A local approach
  • 2015 IJCAI Quantized Correlation Hashing for Fast Cross-Modal Search
  • 2013 PAMI Person Re-identification by Probabilistic Relative Distance Comparison
  • 2013 ICAFGR Logarithm Gradient Histogram: A General Illumination Invariant Descriptor for Face Recognition
  • 2012 PR Extracting Non-negative Basis Images Using Pixel Dispersion Penalty
  • 2009 PR Perturbation LDA: Learning the Difference between the Class Empirical Mean and Its Expectation

Liang Lin 林倞 Liang Lin
【Bio】Professor of Sun Yat-Sen University, previously researcher at UC LA
【Focus on】Visual Understanding, Statistical Models, Object Recognition and Search, Distributed Learning Systems, High Performance Computing

  • 2012 CVPR Discriminative And-Or Graph Learning
  • 2013 CVPR Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures
  • 2015 CVPR SOLD: Sub-Optimal Low-Rank Decomposition for Video Segmentation
  • 2014 NIPS Deep Joint Task Learning for Object Extraction

Wangmeng Zuo 左旺孟
【Bio】Prof. of HarBin Insitute of Technology(HUST),  leader of a Group
【Focus on】 deep learning

  • 2017 TIP Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising
  • 2017 CVPR Learning Deep CNN Denoiser Prior for Image Restoration
  • 2017 CVPR Mind the Class Weight Bias: Weighted Maximum Mean Discrepancy for Unsupervised Domain Adaptation
  • 2017 ICCV Integrating Boundary and Center Correlation Filters for Visual Tracking with Aspect Ratio Variation
  • 2016 TIP Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution
  • 2016 CVPR Joint Learning of Single-image and Cross-image Representations for Person Re-identification
  • 2016 SPL Joint Learning of Multiple Regressors for Single Image Super-Resolution
  • 2015 CVPR Discriminative Learning of Iteration-wise Priors for Blind Deconvolution

Xiang Bai 白翔
【Bio】Prof. of Huazhong University of Science and Technology (HUST), PhD from HUST, leader of a Group
【Focus on】Scene texture recognition, deep learning

  • 2019 TIP ASTER: An Attentional Scene Text Recognizer with Flexible Rectification
  • 2019 PAMI Regularized Diffusion Process on Bidirectional Context for Object Retrieval
  • 2017 Arxiv Deep-Person: Learning Discriminative Deep Features for Person Re-Identification
  • 2017 ICCV Ensemble Diffusion for Retrieval
  • 2017 CVPR Scalable person re-identification on supervised smoothed manifold
  • 2017 CVPR Detecting oriented text in natural images by linking segments
  • 2017 PAMI An End-to-End Trainable Neural Network for Image-based Sequence Recognition and Its Application to Scene Text Recognition
  • 2017 AAAI TextBoxes: A fast text detector with a single deep neural network
  • 2016 CVPR Multi-oriented text detection with fully convolutional networks

XunCao 曹汛
【Bio】Prof. of NanJing Univ., PhD from TsingHua (QiongHai Dai)
【Focus on】3D modeling, 2D-2-3D transfer

Cewu Lu 卢策吾
【Bio】Prof. of ShangHai Jiaotong Univ., leader of a group,  PhD from CUHK(Jiaya Jia), research follow from Stanford(Feifei Li)
【Focus on】Core member of autonomous car project

  • 2017 ICCV RMPE: Regional Multi-person Pose Estimation
  • 2016 ECCV Visual Relationship Detection with Language Priors
  • 2013 CVPR Online Robust Dictionary Learning.
  • 2012 SIGGRAPH Real-time Contrast Preserving Decolorization
  • 2012 NPAR Combining Sketch and Tone for Pencil Drawing Production.
  • 2012 ICCP Contrast Preserving Decolorization.
  • 2011 SIGGRAPH Image Smoothing via L0 Gradient Minimization.

KuZhou 周昆
【Bio】Professor,  leader of the Graphics and Parallel Systems Lab, Phd from Zhejiang Univ.
【Focus on】Compute graphics,  face and hair animation

Wu-Jun LI
【Bio】Associate Prof. of NanJing Univ.
【Focus on】machine learning

  • 2016 IJCAI Feature Learning based Deep Supervised Hashing with Pairwise Labels
  • 2016 AAAI Column Sampling based Discrete Supervised Hashing
  • 2015 IJCAI Scalable Graph Hashing with Feature Transformation
  • 2015 ICML Support Matrix Machines
  • 2014 SIGIR Supervised Hashing with Latent Factor Models

Badong Chen
【Bio】Professor,Leader of a group, PhD from Tsinghua
【Focus on】Machine Learning

Yu Qiao
【Bio】Assistant Professor, Head of the the Computer Vision and Robotic Perception (CVRP) Laboratory, PhD from Ethz
【Research】Point Cloud Analysis

  • Temporal Segment Networks for action video classification(ECCV 16 paper, 1st in ActivityNet Challenge 2016) [Codes]
  • Enhanced Motion Vector CNNs for fast Action Recognition (CVPR 16 paper, realtime action recognition, 390 frames per second) [Project] [Codes]
  • MR-CNNS for large scale scene classification (2nd in scene classification task ImageNet 2016, 1st in LSUN 2016) [Code]

Jianbing Shen
【Bio】Professor at Bit,  PhD from Zhejiang Univ.
【Focus on】Computational Photography

Liqing Zhang Liqing Zhang
【Bio】Professor of Shanghai Jiaotong Univ, leader of a group
【Focus on】brain-like computing model and its computing mechanism, visual information representation and global feature analysis, brain signal processing and brain-computer interface, perception and cognition computing model, statistical learning and inference information processing