Area of research
Computer Vision and Pattern Recognition · Media Technology
Research interest
Research interests include Advanced Image Processing Techniques, Image and Signal Denoising Methods, Advanced Vision and Imaging, and Face and Expression Recognition.
Layer-Specific Knowledge Distillation for Class Incremental Semantic Segmentation
Learning Hierarchical Color Guidance for Depth Map Super-Resolution
Human Co-Parsing Guided Alignment for Occluded Person Re-Identification
Network pruning via probing the importance of filters
Learning Hierarchical Dynamics with Spatial Adjacency for Image Enhancement
Component Divide-and-Conquer for Real-World Image Super-Resolution
Learning Content-Weighted Deep Image Compression
NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
NTIRE 2019 Challenge on Real Image Denoising: Methods and Results
Multi-level Wavelet-CNN for Image Restoration
Deep Cocktail Network: Multi-source Unsupervised Domain Adaptation with Category Shift
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results
Learning Warped Guidance for Blind Face Restoration
Learning Support Correlation Filters for Visual Tracking
F-SVM: Combination of Feature Transformation and SVM Learning via Convex Relaxation
Visual Tracking via Dynamic Graph Learning
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
Active Self-Paced Learning for Cost-Effective and Progressive Face Identification
Learning Dynamic Guidance for Depth Image Enhancement
Multi-Views Fusion CNN for Left Ventricular Volumes Estimation on Cardiac MR Images
Image to Video Person Re-Identification by Learning Heterogeneous Dictionary Pair With Feature Projection Matrix
Learning Patch-Based Dynamic Graph for Visual Tracking
Joint Learning of Single-Image and Cross-Image Representations for Person Re-identification
Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning
An Approach to Streaming Video Segmentation With Sub-Optimal Low-Rank Decomposition
A Deep Structured Model with Radius–Margin Bound for 3D Human Activity Recognition
Notice of Retraction: Iris-Based Medical Analysis by Geometric Deformation Features