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SceneForesee: Learning Scene Evolution for Spatiotemporal Reasoning
Chaoyue Li, Shoudong Han, Haoyang Wu +4
Large multimodal models (LMMs) need to understand how entities move and interact as a scene develops. This requires following the same entities over time and relating their observe…
ReWorld-Track: A Recursive Event World Model for Language-Guided Multi-Camera Tracking
Haoyang Wu, Shoudong Han, Chaoyue Li +4
Language-guided multi-camera tracking must preserve a target identity across unobserved gaps, where similar candidates and uncertain returns can make early associations unreliable.…
ORMOT: A Dataset and Framework for Omnidirectional Referring Multi-Object Tracking
Zihan Zhou, Sijia Chen, Yanqiu Yu +2
Omnidirectional cameras provide 360° spatial coverage, making them increasingly valuable in applications such as autonomous driving and video surveillance. While Multi-Object Track…
RT-RMOT: A Dataset and Framework for RGB-Thermal Referring Multi-Object Tracking
Yanqiu Yu, Zhifan Jin, Sijia Chen +4
Referring Multi-Object Tracking has attracted increasing attention due to its human-friendly interactive characteristics, yet it exhibits limitations in low-visibility conditions,…
DRMOT: A Dataset and Framework for RGBD Referring Multi-Object Tracking
Sijia Chen, Lijuan Ma, Shaofeng Liang +9
Referring Multi-Object Tracking (RMOT) aims to track specific targets based on language descriptions, playing a vital role in interactive AI systems such as robotics and autonomous…