Li-Yuan Tsao

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Hi! I’m Li-Yuan Tsao (曹立元), an incoming PhD student at University of Texas at Austin, where I’ll be advised by Prof. Philipp Krähenbühl. I received my Master’s degree in Computer Science and Bachelor’s degree in EECS at National Tsing Hua University (NTHU), advised by Prof. Chun-Yi Lee. I’ve also been fortunate to work with Prof. Ming-Hsuan Yang at University of California, Merced, as well as Dr. Kelvin C.K. Chan and Dr. Deqing Sun at Google DeepMind, during my time as a visiting student at UC Merced.

My primary research interest is in computer vision and multimodal learning. If you have research opportunities or any ideas to discuss, feel free to reach out!

You can also check out my CV or profile page for more about me!

News

Mar, 2025 I will be joining the University of Texas at Austin as a PhD student in August 2025!
Jan, 2025 Joined the University of Oslo as a graduate exchange student for the Spring 2025 semester.
Nov, 2024 HoliSDiP is released! Many thanks to my collaborators, mentors and advisors.
Jun, 2024 Started as a visiting scholar at Vision and Learning Lab, University of California, Merced.
Jun, 2024 I have completed my military service!
Feb, 2024 BFSR got accepted to CVPR’24! Many thanks to my collaborators and advisor.

Publications

(* indicates equal contribution)
  1. HoliSDiP: Image Super-Resolution via Holistic Semantics and Diffusion Prior
    Li-Yuan Tsao ,  Hao-Wei Chen ,  Hao-Wei Chung ,  Deqing Sun ,  Chun-Yi Lee ,  Kelvin C.K. Chan ,  and  Ming-Hsuan Yang
    In Under Review , 2025
    arXiv Code Website
  2. Boosting Flow-based Generative Super-Resolution Models via Learned Prior
    Li-Yuan Tsao ,  Yi-Chen Lo ,  Chia-Che Chang ,  Hao-Wei Chen ,  Roy Tseng ,  Chien Feng ,  and  Chun-Yi Lee
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2024
    arXiv Code
  3. Local Implicit Normalizing Flow for Arbitrary-Scale Image Super-Resolution
    Li-Yuan Tsao* ,  Jie-En Yao* ,  Yi-Chen Lo ,  Roy Tseng ,  Chia-Che Chang ,  and  Chun-Yi Lee
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) , 2023
    arXiv Code
  4. ELDA: Using Edges to Have an Edge on Semantic Segmentation Based UDA
    Ting-Hsuan Liao ,  Huang-Ru Liao ,  Li-Yuan Tsao* ,  Shan-Ya Yang* ,  Jie-En Yao* ,  Hsu-Shen Liu* ,  Bo-Wun Cheng ,  Chen-Hao Chao ,  Chia-Che Chang ,  Yi-Chen Lo ,  and  Chun-Yi Lee
    In The 33rd British Machine Vision Conference (BMVC) , 2022
    arXiv Code
  5. Investigation of Factorized Optical Flows as Mid-Level Representations
    Hsuan-Kung Yang ,  Tsu-Ching Hsiao ,  Li-Yuan Tsao* ,  Ting-Hsuan Liao* ,  Hsu-Shen Liu* ,  Tzu-Wen Wang* ,  Shan-Ya Yang* ,  Yu-Wen Chen ,  Huang-Ru Liao ,  and  Chun-Yi Lee
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) , 2022
    arXiv Video Website