activity
20242026
most citedVideoLLM-MoD: Efficient Video-Language Streaming with Mixture-of-Depths Vision Computation

2 citations · 4 across the 9 of their papers we have counts for

collaborators

14 papers

cs.CV2026

SurgNarrator: A Generative Retrieval Framework for Surgical Video Understanding

Yuqing Feng, Jiawei Ma, Kevin Qinghong Lin +6

Surgical procedures unfold as structured and recurring clinical events, whose real-time understanding via intraoperative surgical videos is critical for intraoperative decision-mak…

cs.CV2026

Demo2Tutorial: From Human Experience to Multimodal Software Tutorials

Zechen Bai, Zhiheng Chen, Yiqi Lin +5

Human experience in digital environments offers a vast, underexplored resource of authentic, untrimmed interactions that contain rich procedural knowledge. We introduce Demo2Tutori…

cs.CV2026

FocusUI: Efficient UI Grounding via Position-Preserving Visual Token Selection

Mingyu Ouyang, Kevin Qinghong Lin, Mike Zheng Shou +1

Vision-Language Models (VLMs) have shown remarkable performance in User Interface (UI) grounding tasks, driven by their ability to process increasingly high-resolution screenshots.…

cs.CV2025

ShowUI-: Flow-based Generative Models as GUI Dexterous Hands

Siyuan Hu, Kevin Qinghong Lin, Mike Zheng Shou

Building intelligent agents capable of dexterous manipulation is essential for achieving human-like automation in both robotics and digital environments. However, existing GUI agen…

cs.CV2025

Paper2Video: Automatic Video Generation from Scientific Papers

Zeyu Zhu, Kevin Qinghong Lin, Mike Zheng Shou

Academic presentation videos have become an essential medium for research communication, yet producing them remains highly labor-intensive, often requiring hours of slide design, r…

cs.CV2025

Code2Video: A Code-centric Paradigm for Educational Video Generation

Yanzhe Chen, Kevin Qinghong Lin, Mike Zheng Shou

While recent generative models advance pixel-space video synthesis, they remain limited in producing professional educational videos, which demand disciplinary knowledge, precise v…