7 papers
Evidence-Driven Dynamic Visual Selector for Efficient Long Video Understanding
Bo Zhang, Wenxin Wang, Feng Chen +4
Recent advancements in MLLM-based long-form video understanding have mitigated inference-time computational cost and limited context lengths by selecting query-relevant frames. How…
Agentic Collaborative Cognition for Zero-Shot 3D Understanding
Wenxin Wang, Bo Zhang, Feng Chen +4
Recent advancements have explored agentic zero-shot 3D understanding by reformulating it as video keyframe understanding with Multimodal Large Language Models (MLLMs). However, exi…
PolicyTrim: Boosting Intrinsic Policy Efficiency of Vision-Language-Action Models
Xianghui Wang, Feng Chen, Wenbo Zhang +4
Vision-Language-Action (VLA) models provide a unified paradigm for robotic manipulation, yet their real-world deployment is often bottlenecked by execution efficiency. While existi…
Recent Advances in Multi-modal 3D Intelligence: A Comprehensive Survey and Evaluation
Yinjie Lei, Zixuan Wang, Feng Chen +3
Multi-modal 3D Intelligence has gained considerable attention due to its wide applications in autonomous driving and world simulation, etc. Compared to conventional single-modal 3D…
Training-free Motion Factorization for Compositional Video Generation
Zixuan Wang, Ziqin Zhou, Feng Chen +4
Compositional video generation aims to synthesize multiple instances with diverse appearance and motion. However, current approaches mainly focus on binding semantics, neglecting t…
Chain of Event-Centric Causal Thought for Physically Plausible Video Generation
Zixuan Wang, Yixin Hu, Haolan Wang +4
Physically Plausible Video Generation (PPVG) has emerged as a promising avenue for modeling real-world physical phenomena. PPVG requires an understanding of commonsense knowledge,…