Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper …

Deep Back-Projection Networks for Super-Resolution

The project is an official implement of our CVPR2019 paper "Recurrent Back-Projection Network for Video Super-Resolution"

Official Implementation of Space-Time-Aware Multi-Resolution Video Enhancement (CVPR2020) using PyTorch

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

Official Code for the paper accepted at CVPR 2022

The official code for the paper "Boudary-aware Image Inpainting with Multiple Auxiliary Cues"

Official PyTorch implementation of the paper "Joint Learning of Blind Super-Resolution and Crack Segmentation for Realistic Degraded Images", IEEE Transactions on Instrumentation and Measurement (T…

[CVPR2025] Official PyTorch implimentation for "Physical Plausibility-aware Trajectory Prediction via Locomotion Embodiment"

[WACV2024] Official PyTorch implimentation for ``Active Transfer Learning for Efficient Video-Specific Human Pose Estimation''