11 citations · 37 across the 32 of their papers we have counts for
6 papers · 1 filter
OVT-B: A New Large-Scale Benchmark for Open-Vocabulary Multi-Object Tracking
Haiji Liang, Ruize Han
Open-vocabulary object perception has become an important topic in artificial intelligence, which aims to identify objects with novel classes that have not been seen during trainin…
VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking
Zekun Qian, Ruize Han, Junhui Hou +2
Open-vocabulary multi-object tracking (OVMOT) represents a critical new challenge involving the detection and tracking of diverse object categories in videos, encompassing both see…
OCTrack: Benchmarking the Open-Corpus Multi-Object Tracking
Zekun Qian, Ruize Han, Wei Feng +3
We study a novel yet practical problem of open-corpus multi-object tracking (OCMOT), which extends the MOT into localizing, associating, and recognizing generic-category objects of…
Robust Collaborative Perception without External Localization and Clock Devices
Zixing Lei, Zhenyang Ni, Ruize Han +5
A consistent spatial-temporal coordination across multiple agents is fundamental for collaborative perception, which seeks to improve perception abilities through information excha…
Synthetic-To-Real Video Person Re-ID
Xiangqun Zhang, Wei Feng, Ruize Han +3
Person re-identification (Re-ID) is an important task and has significant applications for public security and information forensics, which has progressed rapidly with the developm…
Unveiling the Power of Self-supervision for Multi-view Multi-human Association and Tracking
Wei Feng, Feifan Wang, Ruize Han +2
Multi-view multi-human association and tracking (MvMHAT), is a new but important problem for multi-person scene video surveillance, aiming to track a group of people over time in e…