2 citations · 3 across the 4 of their papers we have counts for
4 papers
DMT: Harmonizing Modalities via Diffusion for Multi-Object Tracking
Weiran Li, Yeqiang Liu, Yijie Wei +3
Multi-object tracking (MOT) is a fundamental task in computer vision with critical applications in autonomous driving and robotics. Multimodal MOT that integrates visible light and…
When Trackers Date Fish: A Benchmark and Framework for Underwater Multiple Fish Tracking
Weiran Li, Yeqiang Liu, Qiannan Guo +3
Multiple object tracking (MOT) technology has made significant progress in terrestrial applications, but underwater tracking scenarios remain underexplored despite their importance…
TeMTG: Text-Enhanced Multi-Hop Temporal Graph Modeling for Audio-Visual Video Parsing
Yaru Chen, Peiliang Zhang, Fei Li +4
Audio-Visual Video Parsing (AVVP) task aims to parse the event categories and occurrence times from audio and visual modalities in a given video. Existing methods usually focus on…
A Survey of Fish Tracking Techniques Based on Computer Vision
Weiran Li, Zhenbo Li, Fei Li +5
Fish tracking is a key technology for obtaining movement trajectories and identifying abnormal behavior. However, it faces considerable challenges, including occlusion, multi-scale…