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oliver-cong02.github.io

oliver-cong02.github.io is UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors. It is ranked #960 on the AI Radar, in AI research, first seen 8 days ago and shared in 1 post (6.8k views).

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UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors UMO : Unified In-Context Learning Unlocks Motion Foundation Model Priors One Unified Framework · Three Meta-Operations · Diverse Motion Tasks Xiaoyan Cong 1* , Zekun Li 1* , Zhiyang Dou 2 , Hongyu Li 1 , Omid Taheri 3 , Chuan Guo 4 , Abhay Mittal 4 , Sizhe An 4 , Taku Komura 5 , Wojciech Matusik 2 , Michael J. Black 3 , Srinath Sridhar 1 1 Brown University 2 Massachusetts Institute of Technology 3 Max-Planck Institute for Intelligent Systems 4 Meta Reality Lab 5 The University of Hong Kong ECCV 2026 Paper Code arXiv Explore Results In-Domain Text-to-Motion Generation…

What people said about oliver-cong02.github.io on X

Today at ECCV in Poster Session 3, 10:30am: UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors Poster # 96 Take a pre-trained 3D human text2motion model and extend it multiple downstream human motion generation tasks with better performance than task-specific baselines.…

@Michael_J_Black, 8 days ago · 47 likes · see the post

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UMO: Unified In-Context Learning Unlocks Motion Foundation Model Priors It was first shared on X 8 days ago and is ranked #960 on the AI Radar.

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1 account on X, including @Michael_J_Black, in 1 post totalling 6.8k views.

Every post is read and classified by Jev (TypeSafe): what it is, which market it belongs to, and whether the link is a real tool. 31.3k posts from 4.7k X accounts over the last 14 days, 1.3k tools, 19 markets. Collected every 5 minutes, fully re-ranked every hour — last update 2026-09-19 21:10 UTC. Full method.