780 citations · 986 across the 36 of their papers we have counts for
8 papers · 2 filters
When Large Vision-Language Models Meet Person Re-Identification
Qizao Wang, Bin Li, Xiangyang Xue
Large Vision-Language Models (LVLMs) that incorporate visual models and large language models have achieved impressive results across cross-modal understanding and reasoning tasks.…
Improving Viewpoint-Independent Object-Centric Representations through Active Viewpoint Selection
Yinxuan Huang, Chengmin Gao, Bin Li +1
Given the complexities inherent in visual scenes, such as object occlusion, a comprehensive understanding often requires observation from multiple viewpoints. Existing multi-viewpo…
Learning Global Object-Centric Representations via Disentangled Slot Attention
Tonglin Chen, Yinxuan Huang, Zhimeng Shen +3
Humans can discern scene-independent features of objects across various environments, allowing them to swiftly identify objects amidst changing factors such as lighting, perspectiv…
Unleashing the Potential of Tracklets for Unsupervised Video Person Re-Identification
Nanxing Meng, Qizao Wang, Bin Li +1
With rich temporal-spatial information, video-based person re-identification methods have shown broad prospects. Although tracklets can be easily obtained with ready-made tracking…
Distribution Aligned Semantics Adaption for Lifelong Person Re-Identification
Qizao Wang, Xuelin Qian, Bin Li +1
In real-world scenarios, person Re-IDentification (Re-ID) systems need to be adaptable to changes in space and time. Therefore, the adaptation of Re-ID models to new domains while…
Image-Text-Image Knowledge Transfer for Lifelong Person Re-Identification with Hybrid Clothing States
Qizao Wang, Xuelin Qian, Bin Li +2
With the continuous expansion of intelligent surveillance networks, lifelong person re-identification (LReID) has received widespread attention, pursuing the need of self-evolution…
Content and Salient Semantics Collaboration for Cloth-Changing Person Re-Identification
Qizao Wang, Xuelin Qian, Bin Li +3
Cloth-changing person re-identification aims at recognizing the same person with clothing changes across non-overlapping cameras. Advanced methods either resort to identity-related…
Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints
Jinyang Yuan, Tonglin Chen, Zhimeng Shen +2
Visual scenes are extremely diverse, not only because there are infinite possible combinations of objects and backgrounds but also because the observations of the same scene may va…