Pheng-Ann Heng(王平安)
【Bio】Professor, Leader of Virtual Reality, Visualization and Imaging Research Center Lab, PhD from Pennsylvania.
【Research】AI and VR for medical applications, surgical simulation, visualization, graphics and human-computer interaction.

Wanli ouyang
【Bio】Assi Prof., PhD from CUHK.
【Research】deep learning and its application to computer vision and pattern recognition, image and video processing

  • 2017 PAMI Crafting GBD-Net for Object Detection
  • 2016 PAMI DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks
  • 2016 CSVT Fast Full-Search Equivalent Pattern Matching Using Asymmetric Haar Wavelet Packets
  • 2016 IJCV Learning Mutual Visibility Relationship for Pedestrian Detection with a Deep Model
  • 2015 PAMI Single-Pedestrian Detection Aided by Two-Pedestrian Detection
  • 2017 CVPR Multi-Context Attention for Human Pose Estimation
  • 2016 CVPR Structured feature learning for pose estimation
  • 2016 ICML Multiple Bias on Non-linearity Activation in Deep Neural Networks
  • 2015 ICCV Visual Tracking with Fully Convolutional Networks
  • 2015 CVPR Saliency Detection by Multi-context Deep Learning
  • 2014 CVPR Learning Mid-level Filters for Person Re-Identfiation
  • 2013 ICCV Joint Deep Learning for Pedestrian Detection
  • 2013 CVPR Single-Pedestrian Detection aided by Multi-pedestrian Detection
  • 2013 CVPR Unsupervised Salience Learning for Person Re-identification
  • 2010 CVPR Fast pattern matching using orthogonal Haar transform

Yuanting Zhang ZHANG, Yuan-ting
【Research】wearable medical devices, body sensor networks, bioTHz technologies, biomodeling, neural engineering, cardiovascular health informatics, and epmHeath and telemedicine technologies

Xiaoou Tang Xiaoou Tang
【Bio】Professor, leader of a group,  not updated since 2015
【Research】deep learning, face parsing, visual surveilliance, image sesearch, machine learning

Jiaya Jia JIA, Jiaya
【Bio】Professor, PhD from HKUST
【Research】image/video understanding, computational photography, 3D reconstruction, practical optimization, and sparse computation

  • No. 1 of Instance Segmentation Track in Scene Understanding Challenge for Autonomous Navigation in Unstructured Environments 2018 (PANet)
  • No. 1 of WAD Drivable Area Segmentation Challenge 2018 (PSANet)
  • (Semantic Segmentation) ICNet
  • (Semantic Segmentation) PSPNet
  • (Portrait Segmentation) First-of-Its-Kind Portrait Segmentation System
  • (Deblurring) Robust deblurring software with GPU enabled
  • (Deblurring) L0 Non-uniform deblurring
  • (Blur Detection) Just Noticeable Defocus Blur Detection
  • (Joint Image Restoration) Cross-Field Joint Image Restoration via Scale Map (Matlab p-code)
  • (Joint Image Filtering) Mutual-Structure for Joint Filtering (Matlab code)
  • (Multiframe Superresolution) Blur-involved superresolution (Matlab p-code)
  • (Saliency Detection) Hierarchical saliency detection
  • (Sparsity) Relative Total Variation (RTV) for texture smoothing (Matlab code)
  • 2015 IJCV Contrast Preserving Decolorization with Perceptual-Based Quality Metrics
  • 2014 NIPS Deep Convolutional Neural Network for Image Deconvolution
  • 2014 ECCV Rolling Guidance Filter
  • 2014 CVPR Discriminative Blur Detection Features
  • 2014 CVPR 100+ Times Faster Weighted Median Filter (WMF)
  • 2014 CVPR Two-Class Weather Classification
  • (Deblurring) Robust deblurring software with GPU enabled
  • (Deblurring) L0 Non-uniform deblurring
  • (Filter) Very fast Weighted Median Filter (WMF) (C++ code) (MATLAB interface code) (VS project code)
  • (Filter) Scale-aware Rolling Guidance Filter (RGF) (MATLAB interface code) (VS project code) (Binaries)
  • (Saliency Detection)Hierarchical saliency detection
  • (Sparsity) Relative Total Variation (RTV) for texture smoothing (Matlab code)
  • (Sparsity) L0 gradient image smoothing (Matlab code)
  • (Optical Flow) Motion-detail preserving optical flow
  • (Optical Flow)Segmentation-based optical flow estimation
  • (Color2Gray) (Matlab code uponrequest)
  • (Tone Mapping) HDR image tonemapping (Matlab code)
  • (3D Reconstruction) ACTS:automatic camera tracking system
  • (Super-resolution) Image upsampling

Xiaogang Wang Xiaogang Wang
【Bio】Associate Professor, Bsc from USTC, PhD from MIT
【Research】deep learning, crowd behavior analysis, activity analysis

  • 2016 ARXIV T-CNN: Tubelets with Convolutional Neural Networks for Object Detection from Videos
  • 2016 CVPR Object Detection from Video Tubelets with Convolutional Neural Networks
  • 2016 ARXIV Multi-Bias Non-linear Activation in Deep Neural Networks
  • 2016 ARXIV End-to-End Deep Learning for Person Search
  • 2016 ICLR Convolutional Neural Networks with Low-Rank Regularization
  • 2016 CVPR Learning Deep Feature Representations with Domain Guided Dropout for Person Re-identification

Chen Change(Cavan) Loy Chen Change Loy

【Bio】Associate Professor, CityU, postdoc at UC,SD
【Research】dynamic textures, motion segmentation, motion analysis, semantic image annotation, image retrieval, crowd counting, probabilistic graphical models, support vector machines, Bayesian regression, Gaussian processes, semantic music annotation and retrieval, music segmentation, feature extraction

  • 2016 ECCV Accelerating the Super-Resolution Convolutional Neural Network
  • 2016 ECCV Deep Cascaded Bi-Network for Face Hallucination
  • 2016 CVPR Sketch Me That Shoe
  • 2016 CVPR Learning Deep Representation for Imbalanced Classification
  • 2016 CVPR Slicing Convolutional Neural Network for Crowd Video Understanding
  • 2016 CVPR Unsupervised Learning of Discriminative Attributes and Visual Representations
  • 2016 TR Deep Convolution Networks for Compression Artifacts Reduction
  • 2015 ICCV Compression Artifacts Reduction by a Deep Convolutional Network
  • 2015 PAMI Learning Deep Representation for Face Alignment with Auxiliary Attributes
  • 2015 PAMI Image Super-Resolution Using Deep Convolutional Networks
  • 2015 CVPR Deeply Learned Attributes for Crowded Scene Understanding
  • 2015 CVPR Face Alignment by Coarse-to-Fine Shape Searching
  • 2015 CVPR DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection
  • 2015 AAAI Deep Representation Learning with Target Coding
  • 2014 ECCV Learning a Deep Convolutional Network for Image Super-Resolution
  • 2014 ECCV Facial Landmark Detection by Deep Multi-task Learning
  • 2014 CVPR Scene-Independent Group Profiling in Crowd
  • 2014 CVPR Constructing Robust Affinity Graphs for Spectral Clustering
  • 2013 ICIP Person Re-Identification by Manifold Ranking