Xinggang Wang
【Bio】Associate Prof.,Leader of a group
【Research】Object detection, video 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 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 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

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

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
【Focus on】

Jianbing Shen

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