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cs.CV2024
DynFocus: Dynamic Cooperative Network Empowers LLMs with Video Understanding
Yudong Han, Qingpei Guo, Liyuan Pan +3
The challenge in LLM-based video understanding lies in preserving visual and semantic information in long videos while maintaining a memory-affordable token count. However, redunda…
cs.CV2024
Storyboard guided Alignment for Fine-grained Video Action Recognition
Enqi Liu, Liyuan Pan, Yan Yang +4
Fine-grained video action recognition can be conceptualized as a video-text matching problem. Previous approaches often rely on global video semantics to consolidate video embeddin…
cs.CV2024
EZSR: Event-based Zero-Shot Recognition
Yan Yang, Liyuan Pan, Dongxu Li +1
This paper studies zero-shot object recognition using event camera data. Guided by CLIP, which is pre-trained on RGB images, existing approaches achieve zero-shot object recognitio…