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Junoh Kang

I am a third-year Ph.D. student at the SNU Computer Vision Lab, advised by Bohyung Han. I aim to solve problems of deep learning in a theoretically concrete manner by leveraging my expertise: mathematics applied to problem description and solution. My primary research interest is generative models.

Besides the research, I am also interested in economics, investment, and playing sports such as tennis, golf, futsal, and boxing.

news

Feb 27, 2024 Our paper, FIFO-Diffusion: Generating Infinite Videos from Text without Training, is archived.
Feb 27, 2024 Our paper, Observation-Guided Diffusion Probabilistic Models, is accepted to CVPR 2024.
Oct 9, 2023 Our paper, Observation-Guided Diffusion Probabilistic Models, is archived.

publications

(*) denotes equal contribution

2024

  1. CVPR
    Observation-Guided Diffusion Probabilistic Models
    Junoh Kang*, Jinyoung Choi*, Sungik Choi, and Bohyung Han
    In CVPR, 2024
  2. arXiv
    FIFO-Diffusion: Generating Infinite Videos from Text without Training
    Jihwan Kim*Junoh Kang*, Jinyoung Choi, and Bohyung Han
    In arXiv, 2024

2023

  1. CVPR
    Open-Set Representation Learning Through Combinatorial Embedding
    Geeho Kim, Junoh Kang, and Bohyung Han
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023