12 papers
The First EgoCross Challenge at EgoVis 2026: Cross-Domain Egocentric Video Question Answering
Yuqian Fu, Tianwen Qian, Yanjun Li +30
EgoCross is a cross-domain egocentric video question answering benchmark designed to evaluate whether multimodal large language models can generalize beyond common daily-life scena…
The Right Inference Strategy Is All You Need: Nearly Training-Free Domain-Wise Inference for EgoCross Challenge
Leyi Wu, Yifan Zhao, Jinjie Zhang +2
EgoCross evaluates multimodal large language models on egocentric video question answering under substantial domain shift, where test videos come from surgery, industrial assembly,…
RoboStressBench: Benchmarking VLM Robustness to Physical Visual Stress in Embodied Scenes
Leyi Wu, Yifan Zhao, Jinjie Zhang +11
Vision-Language Models (VLMs) have shown strong visual understanding and are increasingly deployed in embodied AI systems, where reliable perception under real conditions is essent…
AnimationBench: Are Video Models Good at Character-Centric Animation?
Leyi Wu, Pengjun Fang, Kai Sun +8
Video generation has advanced rapidly, with recent methods producing increasingly convincing animated results. However, existing benchmarks-largely designed for realistic videos-st…
Motion Dreamer: Boundary Conditional Motion Reasoning for Physically Coherent Video Generation
Tianshuo Xu, Zhifei Chen, Leyi Wu +5
Recent advances in video generation have shown promise for generating future scenarios, critical for planning and control in autonomous driving and embodied intelligence. However,…
Motion Forcing: A Decoupled Framework for Robust Video Generation in Motion Dynamics
Tianshuo Xu, Zhifei Chen, Leyi Wu +2
The ultimate goal of video generation is to satisfy a fundamental trilemma: achieving high visual quality, maintaining rigorous physical consistency, and enabling precise controlla…