1 citations · 2 across the 2 of their papers we have counts for
4 papers
Attention to Trajectory: Trajectory-Aware Open-Vocabulary Tracking
Yunhao Li, Yifan Jiao, Dan Meng +2
Open-Vocabulary Multi-Object Tracking (OV-MOT) aims to enable approaches to track objects without being limited to a predefined set of categories. Current OV-MOT methods typically…
GSOT3D: Towards Generic 3D Single Object Tracking in the Wild
Yifan Jiao, Yunhao Li, Junhua Ding +4
In this paper, we present a novel benchmark, GSOT3D, that aims at facilitating development of generic 3D single object tracking (SOT) in the wild. Specifically, GSOT3D offers 620 s…
LaMOT: Language-Guided Multi-Object Tracking
Yunhao Li, Xiaoqiong Liu, Luke Liu +2
Vision-Language MOT is a crucial tracking problem and has drawn increasing attention recently. It aims to track objects based on human language commands, replacing the traditional…
Beyond MOT: Semantic Multi-Object Tracking
Yunhao Li, Qin Li, Hao Wang +5
Current multi-object tracking (MOT) aims to predict trajectories of targets (i.e., ''where'') in videos. Yet, knowing merely ''where'' is insufficient in many crucial applications.…