I'm a graduate student at University of Washington. My research spans a wide range of topics in computer vision and deep learning. I love exploring innovative ideas that bridge theory and real-world applications.
- 🎓 Graduate Student at University of Washington
- 📚 Former undergraduate at Zhejiang University
- 🔬 Research interests: video understanding, LMM, and generative models
- 🤝 Collaborated with leading labs and researchers including the Pika Labs, Microsoft Research Asia, Information Processing Lab @ UW, CVNext Lab @ ZJU, and more.
Docs & Profiles:
- To junior master/undergraduate students: if you would like to chat about life, career plan, or research ideas related to AI/ML, feel free to send me zoom / google meet invitation via email to schedule a meeting. I will dedicate at least 30 mins every week for such meetings. I encourage students from underrepresented groups to reach out.
- We are hosting Discord server among professors and students for arXiv daily sharing and research discussion.
Here are some of my recent key projects and publications:
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(ICLR 2025) AuroraCap: Efficient, Performant Video Detailed Captioning and a New Benchmark
Efficient and performant video detailed captioning, plus a new benchmark.
Project Page | Paper | Code -
(CVPR 2024) MovieChat: From Dense Token to Sparse Memory in Long Video Understanding
From dense token to sparse memory: advancing long video understanding with state-of-the-art memory mechanisms.
Project Page | Paper | Code -
(ICCV 2023) StableVideo: Text-driven Consistency-aware Diffusion Video Editing
Text-driven, consistency-aware diffusion video editing for generating coherent video content.
Project Page | Paper | Code
For a full list of my publications and detailed project descriptions, please visit my website.
- 📧 Email: [email protected]
- 🐦 Twitter: @wenhaocha1
- 💼 LinkedIn: Wenhao Chai
- 🤗 Hugging Face: Profile
This README is inspired by my personal website – wenhaochai.com. Feel free to explore for more details about my research and projects.
