Sohwi Lim

KAIST AMI LAB

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I am currently M.S student studying at KAIST, Daejeon, South Korea and a member of AMI Lab advised by Prof. Tae-Hyun Oh. My research interests include multi-modal learning and its applications in computer vision, but not limited to.

news

Oct 2026 I will be joining FuriosaAI as an AI Research Engineer Intern!
Aug 2026 Our paper has received Excellence Prize ($2,000 prize), Samsung DS Exchange Metting!
Feb 2026 Our paper has received Outstanding Poster Presentation Award from IPIU 2026!
Dec 2025 Our paper has received Best Excellence Prize ($3,500 prize), Electronics Times ICT Paper Awards 2025!

selected publications

  1. NeurIPS
    Early Failure Detection and Intervention in Video Diffusion Models
    Kwon Byung-Ki, Sohwi Lim, Nam Hyeon-Woo, Moon Ye-Bin, and Tae-Hyun Oh
    2026
    arXiv
  2. ICML
    Zero-Shot Rankability: Revealing Latent Ordinal Structure in Multimodal Large Language Models via Language
    Nam Hyeon-Woo, Moon Ye-Bin, Sohwi Lim, Kwon Byung-Ki, and Tae-Hyun Oh
    In Proceedings of the International Conference on Machine Learning (ICML), 2026
    PDF
  3. ICML
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    Measurement-Consistent Langevin Corrector for Stabilizing Latent Diffusion Inverse Problem Solvers
    Lee Hyoseok, Sohwi Lim, Eunju Cha, and Tae-Hyun Oh
    In Proceedings of the International Conference on Machine Learning (ICML), 2026
    arXiv Website
  4. CVPR
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    CLAY: Conditional Visual Similarity Modulation in Vision-Language Embedding Space
    Sohwi Lim, Lee Hyoseok, Jungjoon Park, and Tae-Hyun Oh
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
    arXiv Website
  5. WACV
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    Patch-wise Retrieval: A Bag of Practical Techniques for Instance-level Matching
    Wonseok Choi, Sohwi Lim, Nam Hyeon-Woo, Moon Ye-Bin, Dong-Ju Jeong, Jinyoung Hwang, and Tae-Hyun Oh
    In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026
    arXiv Website