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cs.CV2026
Decoupling Semantics and Logic: A Training-Free Coarse-to-Fine Pipeline for Video Retrieval-Augmented Generation
Jiaxin Dai, Zehang Wei, Jiamin Yan +1
This paper presents our system description for the 2nd Workshop on Multimodal Augmented Generation via MultimodAl Retrieval (MAGMaR). Addressing the critical challenges of cross-li…
cs.CV2025
Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
Jiaxin Dai, Xiang Xiang
In the field of machine learning, hyperbolic space demonstrates superior representation capabilities for hierarchical data compared to conventional Euclidean space. This work focus…
cs.CV2025
OpenHAIV: A Framework Towards Practical Open-World Learning
Xiang Xiang, Qinhao Zhou, Zhuo Xu +4
Substantial progress has been made in various techniques for open-world recognition. Out-of-distribution (OOD) detection methods can effectively distinguish between known and unkno…