Area of research
Computer Vision and Pattern Recognition · Media Technology
Research interest
Research interests include Advanced Image Processing Techniques, Advanced Vision and Imaging, Image and Signal Denoising Methods, and Image Processing Techniques and Applications.
Video Super-Resolution Transformer with Masked Inter&Intra-Frame Attention
Revisiting Random Channel Pruning for Neural Network Compression
You Only Look Yourself: Unsupervised and Untrained Single Image Dehazing Neural Network
Flow-based Kernel Prior with Application to Blind Super-Resolution
Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
Deep Coupled Feedback Network for Joint Exposure Fusion and Image Super-Resolution
NTIRE 2021 Challenge on Perceptual Image Quality Assessment
Video Super-Resolution with Recurrent Structure-Detail Network
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
DHP: Differentiable Meta Pruning via HyperNetworks
Improving Deep Video Compression by Resolution-Adaptive Flow Coding
Learning Content-Weighted Deep Image Compression
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results
Learning Dynamic Guidance for Depth Image Enhancement