Minsu Cho Minsu Cho (조 민수)
Mu-Eun-Jae (無垠齋) Endowed Chair Professor
Department of Computer Science and Engineering
Graduate School of Artificial Intelligence
POSTECH (Pohang Univ. of Science and Technology, 포항공과대학교)
77 Cheongam-ro, Nam-gu, Pohang, Gyeongbuk, South Korea 37673

Email: mscho ~at~ postech dot ac dot kr

Minsu Cho is the Mu-Eun-Jae (無垠齋) Endowed Chair Professor in the Department of Computer Science and Engineering and Graduate School of Artificial Intelligence at POSTECH, South Korea, where he leads the POSTECH Computer Vision Lab. His research spans computer vision and machine learning, with a particular focus on visual semantic correspondence, symmetry analysis, object assembly, action recognition, and embodied AI. He is broadly interested in the interplay between relational inference, structural analysis, and compositional learning in real-world vision problems.

Prior to joining POSTECH in the fall of 2016, he held a Starting Research Position as a researcher in the Inria WILLOW team at É cole Normale Supérieure (ENS), Paris, France, where he has worked with Jean Ponce and Cordelia Schmid. He received his Ph.D. in 2012 under the supervision of Kyoung Mu Lee from Seoul National University, Seoul, Korea, and served as a Visiting Faculty Researcher at Google Research in 2023.

He serves as an Associate Editor of the International Journal of Computer Vision (IJCV) and IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), and has served as an Area Chair at leading venues including CVPR, ECCV, ICCV, ICLR, ICML, and NeurIPS. He was the recipient of the KCCV Sang Uk Lee Prize at KCCV 2024, was inducted into the Young Korean Academy of Science and Technology (Y-KAST) in 2020, and was appointed to the Mu-Eun-Jae Endowed Chair Professorship at POSTECH in 2024. In 2026, he was awarded the Presidential Commendation in recognition of outstanding contributions to Artificial Intelligence research in Korea.

POSTECH CV Lab Publications Software Students Teaching CV
Google scholar


NEWS Image
  • I was awarded the Presidential Commendation at the 2026 Korea Science Day ceremony in recognition of outstanding contributions to Artificial Intelligence research.
  • I was promoted to tenured full Professor at POSTECH as of March 2026.
  • Five papers were accepted at CVPR 2026.
  • One paper on text-to-multi-view synthesis was accepted at WACV 2026.
  • I serve as an Area Chair for CVPR 2026, ICLR 2026, ICML 2026, and 3DV 2026.
  • One paper on social interaction detection was accepted at NeurIPS 2025.
  • Four papers (including two highlights) were accepted at ICCV 2025.
  • Four papers were accepted at CVPR 2025.
  • One paper on memory-modular learning was accepted at Transactions on Machine Learning Research (TMLR).
  • I serve as an Area Chair for CVPR 2025 (Senior AC), ICCV 2025 (Lead AC), ICML 2025, and NeurIPS 2025.
  • I was appointed as the Mu-Eun-Jae (無垠齋) Endowed Chair Professor by POSTECH.

  • I am an Associate Editor of IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) and International Journal of Computer Vision (IJCV).
  • I served as an Organizing Committee member for ACCV 2024 (Program Chair), KCCV 2024 (Program Chair), ICCV 2023 (Workshop Chair), MVA 2021 (Program Chair), ICCV 2019 (Web Chair), and ACM Multimedia 2018 (Web Chair).
  • I served as an Area Chair / Senior Program Committee member for CVPR 2025 (Senior AC), ICCV 2025 (Lead AC), ICML 2025, and NeurIPS 2025, CVPR 2024, ECCV 2024, NeurIPS 2024, CVPR 2023, ICCV 2023, MVA 2023, NeurIPS 2023, WACV 2023, AAAI 2022, CVPR 2022, ICPR 2022, NeurIPS 2022, AAAI 2021, BMVC 2021 CVPR 2021, ICCV 2021, IJCAI 2021, CVPR 2020, ICPR 2020, IJCAI-PRICAI 2020, ICCV 2019, ACCV 2018, CVPR 2018, and WACV 2018.



  • RECENT PUBLICATIONS (Click here for a full list)

    Junha Lee, Eunha Park, Minsu Cho
    DextER: Language-driven Dexterous Grasp Generation with Embodied Reasoning    
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, 2026

    Chunghyun Park, Seunghyeon Lee, Minsu Cho
    Affostruction: 3D Affordance Grounding with Generative Reconstruction    
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, 2026

    Seungwook Kim, Minsu Cho
    Improving Text-to-Image Generation with Intrinsic Self-Confidence Rewards    
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, 2026

    Junmyeong Lee*, Hoseung Choi*, Minsu Cho (*equal contribution)
    Space-Time Forecasting of Dynamic Scenes with Motion-aware Gaussian Grouping    
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, 2026

    Dongwon Kim, Gawon Seo, Jinsung Lee, Minsu Cho, Suha Kwak
    Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model    
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Denver, 2026

    Seungwook Kim, Yichun Shi, Kejie Li, Minsu Cho, Peng Wang
    RapidMV: Leveraging Spatio-Angular Representations for Efficient and Consistent Text-to-Multi-View Synthesis    
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, Arizona, 2026

    Dongkeun Kim, Minsu Cho, Suha Kwak
    Part-Aware Bottom-Up Group Reasoning for Fine-Grained Social Interaction Detection    
    Advances in Neural Information Processing Systems (NeurIPS), San Diego, 2025

    Wongyun Yu, Ahyun Seo, Minsu Cho
    Axis-level Symmetry Detection with Group-equivariant Representation    
    IEEE/CVF International Conference on Computer Vision (ICCV), Honolulu, Hawaii, 2025

    Nahyuk Lee*, Juhong Min*, Junhong Lee, Chunghyun Park, Minsu Cho
    Combinative Matching for Geometric Shape Assembly    
    IEEE/CVF International Conference on Computer Vision (ICCV), Honolulu, Hawaii, 2025 (highlight presentation)

    Eunchan Jo, Dahyun Kang, Sanghyun Kim, Yunseon Choi, Minsu Cho
    Few-Shot Pattern Detection via Template Matching and Regression    
    IEEE/CVF International Conference on Computer Vision (ICCV), Honolulu, Hawaii, 2025 (highlight presentation)

    Jaejun Hwang*, Dayoung Gong*, Manjin Kim, Minsu Cho
    Generic Event Boundary Detection via Denoising Diffusion    
    IEEE/CVF International Conference on Computer Vision (ICCV), Honolulu, Hawaii, 2025

    Sanghyun Kim, Deunsol Jung, Minsu Cho
    Locality-Aware Interaction for Zero-Shot Human-Object Interaction Detection    
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025

    Ahyun Seo, Minsu Cho
    Leveraging 3D Geometric Priors in 2D Rotation Symmetry Detection    
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025

    Junha Lee*, Chunghyun Park*, Jaesung Choe, Yu-Chiang Frank Wang, Jan Kautz, Minsu Cho, Chris Choy
    Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation    
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025

    Sanghyun Kim, Deunsol Jung, Minsu Cho
    Locality-Aware Interaction for Zero-Shot Human-Object Interaction Detection    
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, 2025


    MEMBERS

    Postdoc:
  • Ahyun Seo, 2025-
  • Chunghyun Park, 2026-

  • PhD:
  • Jinhwi Lee (POSCO), 2019-
  • Yoonwoo Jeong, 2020-
  • Dayoung Gong, 2020-
  • Sangki Kim, 2022-
  • Sua Choi, 2022-

  • Masters:
  • Chanyoung Kwak, 2024-
  • Eunha Park, 2024-
  • Won-gyun Yu, 2024-
  • Junmyeong Lee, 2024-
  • Junhong Lee, 2025-
  • Hoseung Choi, 2025-
  • Cheolhwan Bae, 2025-
  • Youngwoon Kim, 2025-
  • Hyunmin Kim, 2026-
  • Seunghyeon Lee, 2026-
  • Seongho Ryu, 2026-

  • Alumni:
  • Junha Lee (SqueezeBits), 2026, PhD
  • Manjin Kim (Naver Clova), 2026, PhD
  • Sanghyun Kim (Samsung AI Center), 2026, PhD
  • Seungwook Kim, 2026, PhD
  • Dahyun Kang (Google DeepMind), 2025
  • Eunchan Jo (POSTECH), 2025, Master
  • Jaejun Hwang (GenGenAI), 2025, Master
  • Nahyuk Lee (VUNO), 2025
  • Jeongbeen Yoon (Kookmin Bank), 2025, PhD
  • Woohyeon Shim (GenGenAI), 2025, PhD
  • Juhong Min (Samsung Research America), 2024, PhD
  • Min Jung Lee (GenGenAI), 2024, Master
  • Yunseon Choi (PlayTag), 2024, Master
  • Jongmin Lee (Chung-Ang University), 2024, PhD
  • Deunsol Jung, (Kyungpook National University) 2024, PhD
  • Seungho Lee, 2024, Master
  • Byungjin Kim (SAMSUNG), 2023, Master
  • Joonseok Lee (EverEx), 2023, Master
  • Jungtaek Kim (Pittsburgh University), 2022, PhD (co-advised with S. Choi)
  • Ilchae Jung (NAVER Clova), 2022, PhD (co-advised with B. Han)
  • Heeseung Kwon (RLWRLD), 2021, PhD
  • Seungkwan Lee (Deeping Source), 2021, Master
  • Hyunsoo Chung (Spacewalk), 2021 at POSTECH
  • Kihyun You (Lunit), 2020 at POSTECH
  • Dongju Kim (NVIDIA), 2019, Master
  • Wonpyo Park (Google), 2019, Master
  • Jonghwan Mun (Samsung Advanced Institute of Technology), 2020, PhD (co-advised with B. Han)
  • Paul Hongsuck Seo (Korea University), 2020, PhD (co-advised with B. Han)
  • Jeany Son (GIST), 2018, PhD (co-advised with B. Han)

  • Edgar DUC (Ecole des Ponts Paristech), 2025, Intern at POSTECH
  • Hector Dang-Nhu (ENS Paris), 2019, Intern at POSTECH
  • Pierre Jobic (ENS Cachan), 2018, Intern at POSTECH
  • Matthieu Toulemont (Ecole des Ponts Paristech), 2018, Intern at POSTECH
  • Idil Kanpolat (co-advised with E. Konukoglu, ETH Zurich), 2017, Intern at POSTECH
  • Kai Han (co-advised with J. Ponce, ENS), 2016, Intern at Inria Paris
  • Sergiu Irimie (co-advised with J. Ponce, ENS), 2016, Intern at Inria Paris
  • Yumin Suh (co-advised with J. Ponce, ENS), 2015, Intern at Inria Paris

  • TEACHING
    2026 Spring: Automata and Formal Languages (at POSTECH CSE)
    2025 Fall: Automata and Formal Languages (at POSTECH CSE)
    2025 Spring: Symmetry and Equivariant Learning (at POSTECH CSE)
    2024 Fall: Automata and Formal Languages (at POSTECH CSE)
    2024 Spring: Symmetry and Equivariant Learning (at POSTECH CSE)
    2023 Fall: Automata and Formal Languages (at POSTECH CSE)
    2022 Spring: Automata and Formal Languages (at POSTECH CSE)
    2022 Spring: Arficial Intelligence and Data Science (at POSTECH CSE/AIGS)
    2021 Fall: Automata and Formal Languages (at POSTECH CSE)
    2021 Spring: Arficial Intelligence and Data Science (at POSTECH CSE/AIGS)
    2021 Spring: Language and Vision (at POSTECH CSE/AIGS)
    2020 Fall: Automata and Formal Languages (at POSTECH CSE)
    2020 Spring: Deep Learning (at POSTECH CSE/AIGS)
    2020 Spring: Arficial Intelligence and Data Science (at POSTECH CSE/AIGS)
    2019 Fall: Introduction to Deep Learning (at POSTECH CSE)
    2019 Spring: Language and Vision (at POSTECH CSE)
    2018 Fall: Automata and Formal Languages (at POSTECH CSE)
    2018 Spring: Language and Vision (at POSTECH CSE)
    2017 Fall: Automata and Formal Languages (at POSTECH CSE)
    2017 Spring: Language and Vision (at POSTECH CSE)
    2016 Fall: Introduction to Computer Vision (at POSTECH CSE)


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