most citedMultiMed: Massively Multimodal and Multitask Medical Understanding

2 citations · 2 across the 4 of their papers we have counts for

collaborators

8 papers

cs.CV2025

Schrodinger Audio-Visual Editor: Object-Level Audiovisual Removal

Weihan Xu, Kan Jen Cheng, Koichi Saito +10

Joint editing of audio and visual content is crucial for precise and controllable content creation. This new task poses challenges due to the limitations of paired audio-visual dat…

cs.CV2025

REGen: Multimodal Retrieval-Embedded Generation for Long-to-Short Video Editing

Weihan Xu, Yimeng Ma, Jingyue Huang +6

Short videos are an effective tool for promoting contents and improving knowledge accessibility. While existing extractive video summarization methods struggle to produce a coheren…

cs.CV2024

TeaserGen: Generating Teasers for Long Documentaries

Weihan Xu, Paul Pu Liang, Haven Kim +3

Teasers are an effective tool for promoting content in entertainment, commercial and educational fields. However, creating an effective teaser for long videos is challenging for it…

cs.CL2024

OS-ATLAS: A Foundation Action Model for Generalist GUI Agents

Zhiyong Wu, Zhenyu Wu, Fangzhi Xu +8

Existing efforts in building GUI agents heavily rely on the availability of robust commercial Vision-Language Models (VLMs) such as GPT-4o and GeminiProVision. Practitioners are of…

cs.CV2024

VideoWebArena: Evaluating Long Context Multimodal Agents with Video Understanding Web Tasks

Lawrence Jang, Yinheng Li, Dan Zhao +5

Videos are often used to learn or extract the necessary information to complete tasks in ways different than what text and static imagery alone can provide. However, many existing…

cs.CV2024

Progressive Compositionality in Text-to-Image Generative Models

Evans Xu Han, Linghao Jin, Xiaofeng Liu +1

Despite the impressive text-to-image (T2I) synthesis capabilities of diffusion models, they often struggle to understand compositional relationships between objects and attributes,…