2 citations · 3 across the 4 of their papers we have counts for
5 papers
CowCare: A Unified Visual Framework for Viewpoint-Robust Cattle Tracking and Spatiotemporal Heat-Stress Analysis
Xin Liu, Weiran Li, Minghao Zhu +2
Reliable individual monitoring is essential for dairy cattle welfare and early heat stress detection in Precision Livestock Farming (PLF). However, translating raw multi-camera vid…
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…
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…