Vision-Language-Action (VLA) foundation models have recently emerged as one of the prevailing solutions for autonomous driving, as they can utilize knowledge acquired during vision-language pretraining for accurate and interpretable driving. However, VLAs can take only a limited number of frames as visual input due to...
Kai Yan, Xiang Chen, Yu-Long Cao et al.· 0 citations
Recent advances in video object segmentation with Multimodal Large Language Model (MLLM) reasoning have demonstrated the effectiveness of using a single textual token, such as SEG, to predict segmentation masks across images and videos. However, we observe that this single-token strategy lacks the granularity required...
Rui-Ning Zhao, Ho Kei Cheng, Alexander G. Schwing· 0 citations
Current AI agents compellingly describe slides. However, AI-assisted slide editing requires more than understanding: the output must retain layout, style, component structure, and native editability. Towards, AI-assisted slide editing, existing agents operate on screenshots or weak document representations and often fr...
Hao-Zhen Zheng, Fu-Lin Wang, Tianhu Xiong et al.· 0 citations
Answering questions about long videos often requires connecting events involving the same objects across hours or days. Chronological descriptions and text-derived entities can leave physical identity unresolved: different objects may share a description, while observations of the same object remain disconnected across...
Hui-Hui Ren, Lei Fan, Henry Pao et al.· 0 citations
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