Jun-Hee Kim

Ph.D. candidate, Department of Artificial Intelligence, Korea University.

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I am an Integrated M.S.–Ph.D. student in the Department of Artificial Intelligence at Korea University, South Korea, and a member of the Pattern Recognition & Machine Learning Lab, advised by Prof. Seong-Whan Lee.
For more details, please see my CV.

My research aims to make 3D human pose estimation reliable under real-world conditions—robust to occlusion, rare poses, and domain shifts—by developing scalable and uncertainty-aware models.
I am also interested in extending 3D understanding to Vision-Language-Action (VLA) systems for physics-based animation and controllable human motion generation.

Research Interests

  • 3D Human Pose Estimation
  • Robust & Scalable Learning (Generalization, Uncertainty)
  • Vision-Language Models & Generative Modeling (Text-to-Image / Text-to-Motion)
  • Vision-Language-Action (VLA) for Physics-Based Animation

Education

Korea University, Seoul, South Korea
Integrated M.S.–Ph.D. in Artificial Intelligence (Mar. 2021 – Present)
Advisor: Prof. Seong-Whan Lee

Soongsil University, Seoul, South Korea
B.S. in Mathematics and Physics (Double Major) (Mar. 2015 – Aug. 2020)

News

Sep 19, 2025 1 paper is accepted to NeurIPS 2025.
Jun 25, 2025 1 paper is accepted to ICCV 2025.
Dec 9, 2024 1 paper is accepted to AAAI 2025.
Sep 25, 2024 1 paper is accepted to NeurIPS 2024.

Publications

2025

  1. PoseAnchor: Robust Root Position Estimation for 3D Human Pose Estimation
    Jun-Hee Kim, Jumin Han, and Seong-Whan Lee
    In Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2025
  2. Towards Generalizable 3D Human Pose Estimation via Ensembles on Flat Loss Landscapes
    Jumin Han, Jun-Hee Kim, and Seong-Whan Lee
    In The Thirty-ninth Annual Conference on Neural Information Processing Systems, 2025
  3. ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow
    Jumin Han, Jun-Hee Kim, and Seong-Whan Lee
    In Proceedings of the AAAI Conference on Artificial Intelligence, 2025

2024

  1. Toward approaches to scalability in 3d human pose estimation
    Jun-Hee Kim, and Seong-Whan Lee
    Advances in Neural Information Processing Systems, 2024
  2. Geometry-driven self-supervision for 3D human pose estimation
    Geon-Jun Yang, Jun-Hee Kim, and Seong-Whan Lee
    Neural Networks, 2024

2023

  1. Egpose: Explicit and geometric self-supervision for 3d human pose estimation
    Geon-Jun Yang, Jun-Hee Kim, Hyun-Woo Kim, and 2 more authors
    Procedia Computer Science, 2023