Sicheng Mo
I am a first-year PhD student in Computer Science at UCLA, where I am being advised by Prof. Bolei Zhou. I earned my Bachelor’s degree in Computer Science and Applied Mathematics from the University of Wisconsin-Madison, during which I conducted research under the guidance of Prof. Yin Li and Prof. Fred Sala.
My research lies in Computer Vision. I am particularly interested in large generative models for visual content generation and understanding. I also worked on scalable language-driven video understanding and 3D reconstruction before.
In the past, my work extended to the field of machine learning, specifically on causal inference for Out-of-distribution generalization.
news
Oct 01, 2024 | Two papers accepted to NeurIPS 2024! Check out our Ctrl-X and SimGen. |
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Jun 26, 2024 | I will join Adobe Research as an intern this summer. |
Feb 26, 2024 | Two papers accepted to CVPR 2024! Thanks to my collaborators and advisors! |
Sep 20, 2022 | Our team wins the second prize for ECCV 2022 Ego4D NLQ and MQ challenges. See our technical report here. |
Jun 14, 2022 | Our paper Causal Omnivore: Fusing Noisy Estimates of Spurious Correlations is accepted to Workshop on Spurious Correlations, Invariance, and Stability at ICML’22 Workshop! |