780 citations · 986 across the 36 of their papers we have counts for
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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…
Towards Generative Abstract Reasoning: Completing Raven's Progressive Matrix via Rule Abstraction and Selection
Fan Shi, Bin Li, Xiangyang Xue
Endowing machines with abstract reasoning ability has been a long-term research topic in artificial intelligence. Raven's Progressive Matrix (RPM) is widely used to probe abstract…