4 papers
CORE: Compact Object-centric REpresentations as a New Paradigm for Token Merging in LVLMs
Jingyu Lei, Gaoang Wang, Der-Horng Lee
Large Vision-Language Models (LVLMs) usually suffer from prohibitive computational and memory costs due to the quadratic growth of visual tokens with image resolution. Existing tok…
Understanding Dynamic Scenes in Ego Centric 4D Point Clouds
Junsheng Huang, Shengyu Hao, Bocheng Hu +2
Understanding dynamic 4D scenes from an egocentric perspective-modeling changes in 3D spatial structure over time-is crucial for human-machine interaction, autonomous navigation, a…
Adaptive Graph Pruning for Multi-Agent Communication
Boyi Li, Zhonghan Zhao, Der-Horng Lee +1
Large Language Model (LLM) based multi-agent systems have shown remarkable performance in various tasks, especially when enhanced through collaborative communication. However, curr…
Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition
Bozheng Li, Mushui Liu, Gaoang Wang +1
In this paper, we propose a novel Temporal Sequence-Aware Model (TSAM) for few-shot action recognition (FSAR), which incorporates a sequential perceiver adapter into the pre-traini…