6 papers
Preserve Support, Not Correspondence: Dynamic Routing for Offline Reinforcement Learning
Zhancun Mu, Guangyu Zhao, Yiwu Zhong +1
One-step offline RL actors are attractive because they avoid backpropagating through long iterative samplers and keep inference cheap, but they still have to improve under a critic…
Rethinking Chain-of-Thought Reasoning for Videos
Yiwu Zhong, Zi-Yuan Hu, Yin Li +1
Chain-of-thought (CoT) reasoning has been highly successful in solving complex tasks in natural language processing, and recent multimodal large language models (MLLMs) have extend…
Fine-grained Spatiotemporal Grounding on Egocentric Videos
Shuo Liang, Yiwu Zhong, Zi-Yuan Hu +2
Spatiotemporal video grounding aims to localize target entities in videos based on textual queries. While existing research has made significant progress in exocentric videos, the…
AIM: Adaptive Inference of Multi-Modal LLMs via Token Merging and Pruning
Yiwu Zhong, Zhuoming Liu, Yin Li +1
Large language models (LLMs) have enabled the creation of multi-modal LLMs that exhibit strong comprehension of visual data such as images and videos. However, these models usually…
Enhancing Temporal Modeling of Video LLMs via Time Gating
Zi-Yuan Hu, Yiwu Zhong, Shijia Huang +2
Video Large Language Models (Video LLMs) have achieved impressive performance on video-and-language tasks, such as video question answering. However, most existing Video LLMs negle…
Beyond Embeddings: The Promise of Visual Table in Visual Reasoning
Yiwu Zhong, Zi-Yuan Hu, Michael R. Lyu +1
Visual representation learning has been a cornerstone in computer vision, involving typical forms such as visual embeddings, structural symbols, and text-based representations. Des…