Sicheng Mo

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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.
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!

selected publications

  1. ctrl-x.jpg
    Ctrl-X: Controlling Structure and Appearance for Text-To-Image Generation Without Guidance
    Kuan Heng Lin* , Sicheng Mo*, Ben Klingher , Fangzhou Mu , and Bolei Zhou
    In Advances in Neural Information Processing Systems (NeurIPS) , 2024
  2. freecontrol1.jpg
    FreeControl: Training-Free Spatial Control of Any Text-to-Image Diffusion Model with Any Condition
    Sicheng Mo*, Fangzhou Mu* , Kuan Heng Lin , Yanli Liu , Bochen Guan , Yin Li , and Bolei Zhou
    In Computer Vision and Pattern Recognition (CVPR) , 2024
  3. snag.png
    SnAG: Scalable and Accurate Video Grounding
    Fangzhou Mu* , Sicheng Mo*, and Yin Li
    In Computer Vision and Pattern Recognition (CVPR) , 2024
  4. iccp.jpg
    Physics to the Rescue: Deep Non-line-of-sight Reconstruction for High-speed Imaging
    Fangzhou Mu , Sicheng Mo, Jiayong Peng , Xiaochun Liu , Ji Hyun Nam , Siddeshwar Raghavan , Andreas Velten , and Yin Li
    In ICCP/TPAMI , Jun 2022