Junuk Cha

Computer Vision & Deep Learning Researcher · Currently on the job market

I am a computer vision researcher, and I am currently looking for new research positions. Most recently, I was a postdoctoral researcher at the AMI Lab, KAIST (Aug. 2025 – Aug. 2026), working with Prof. Tae-Hyun Oh. I received my combined M.S./Ph.D. from the Artificial Intelligence Graduate School (AIGS) at UNIST in the UVL Lab, advised by Prof. Seungryul Baek, and my B.S. in Mechanical Engineering from UNIST in 2021.

During my Ph.D., I interned at Adobe (San Jose) and Inria (Nice). After graduating, I worked as a postdoc at KETI before joining KAIST.

Research interests

  • Computer vision and deep learning
  • Human-centric AI — reconstruction, generation and recognition of humans, hands and their interactions
  • AI for robotics — egocentric humanoid control, robot pose estimation

news

Jun 26, 2026 Received the Industry-Academia Best Paper Award (LG Electronics) at the 2026 IEIE Summer Conference for MotionGlue.
May 01, 2026 Recognized as an Outstanding Reviewer at CVPR 2026.
Feb 20, 2026 OpenFS is accepted to CVPR 2026.
Aug 04, 2025 Joined the AMI Lab at KAIST as a postdoctoral researcher.
Dec 09, 2024 Text2Relight is accepted to AAAI 2025.

selected publications

  1. OpenFS: Multi-Hand-Capable Fingerspelling Recognition with Implicit Signing-Hand Detection and Frame-Wise Letter-Conditioned Synthesis
    Junuk Cha, Jihyeon Kim, and Han-Mu Park
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026
  2. Text2Relight: Creative Portrait Relighting with Text Guidance
    Junuk Cha, Mengwei Ren, Krishna Kumar Singh, and 6 more authors
    In AAAI Conference on Artificial Intelligence (AAAI), 2025
  3. Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction
    Junuk Cha, Jihyeon Kim, Jae Shin Yoon*, and 1 more author
    In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  4. Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement
    Junuk Cha, Muhammad Saqlain, GeonU Kim, and 2 more authors
    In European Conference on Computer Vision (ECCV), 2022

View all 15 publications →