1 citations · 1 across the 4 of their papers we have counts for
4 papers
When Fish Look Alike: Tracking Identities with Dual-branch Elasticity
Vran Lee, Xin Liu, Yijie Wei +3
Tracking dense, homogeneous targets like schooling fish remains a major challenge for multiple object tracking due to extreme inter-individual homogeneity, severe physical clusteri…
From Points to Clouds: Learning Robust Semantic Distributions for Multi-modal Prompts
Weiran Li, Yeqiang Liu, Yijie Wei +3
Multimodal Prompt Learning (MPL) has emerged as a pivotal technique for adapting large-scale Visual Language Models (VLMs). However, current MPL methods are fundamentally limited b…
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…