Area of research
Computer Vision and Pattern Recognition · Safety, Risk, Reliability and Quality
Research interest
Research interests include Computer science, Artificial intelligence, BitTorrent tracker, Tracking (education), Video tracking, and Object detection.
CorrBEV: Multi-View 3D Object Detection by Correlation Learning with Multi-modal Prototypes
Divert More Attention to Vision-Language Object Tracking
ICAFusion: Iterative cross-attention guided feature fusion for multispectral object detection
The Tenth Visual Object Tracking VOT2022 Challenge Results
SSPNet: Scale and spatial priors guided generalizable and interpretable pedestrian attribute recognition
Learning Target-aware Representation for Visual Tracking via Informative Interactions
The Eighth Visual Object Tracking VOT2020 Challenge Results
The Sixth Visual Object Tracking VOT2018 Challenge Results