Area of research
Computer Vision and Pattern Recognition
Research interest
Research interests include Computer science, Artificial intelligence, BitTorrent tracker, Computer vision, Tracking (education), and Object (grammar).
Learning pose regression as reliable pixel-level matching for self-supervised depth estimation
TOP-ReID: Multi-Spectral Object Re-identification with Token Permutation
Class-conditional domain adaptation for semantic segmentation
The Tenth Visual Object Tracking VOT2022 Challenge Results
A uniform transformer-based structure for feature fusion and enhancement for RGB-D saliency detection
Blind Image Super-Resolution with Degradation-Aware Adaptation
LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search
Learning Adaptive Attribute-Driven Representation for Real-Time RGB-T Tracking
CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction
The Ninth Visual Object Tracking VOT2021 Challenge Results
Learning Regression and Verification Networks for Robust Long-term Tracking
Synergistic Saliency and Depth Prediction for RGB-D Saliency Detection
Pose-Guided Visible Part Matching for Occluded Person ReID
The Eighth Visual Object Tracking VOT2020 Challenge Results
The Sixth Visual Object Tracking VOT2018 Challenge Results
The Seventh Visual Object Tracking VOT2019 Challenge Results
VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results
GradNet: Gradient-Guided Network for Visual Object Tracking
Deep Reinforcement Active Learning for Human-in-the-Loop Person Re-Identification
Hierarchical Cellular Automata for Visual Saliency