Junuk Cha

About Me

My name is Junuk Cha, and I am currently a combined MS/PhD student affiliated to the Artificial Intelligence Graduate School (AIGS) at UNIST since March 2021. I obtained BS (2021) degree from Dept. of Mechanical Engineering at UNIST.

Email: jucha@unist.ac.kr (official), junukcha@gmail.com (personal)

Lab link: UVL Lab webpage

Research Interests

• Computer Vision and deep learning.
• 3D human body pose estimation, 3D human body mesh reconstruction, 3D motion generation.
• Action recognition and clothed human mesh reconstruction.

Researches

International Conference

• Junuk Cha, Jihyeon Kim, Jae Shin Yoon*, Seungryul Baek*, “Text2HOI: Text-guided 3D Motion Generation for Hand-Object Interaction”, in Proc. of IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, 2024. Co-last authors*. [PDF][Project]

• Junuk Cha, Hansol Lee, Jaewon Kim, Bao Truong, Jae Shin Yoon*, Seungryul Baek*, “3D Reconstruction of Interacting Multi-Person in Clothing from a Single Image”, in Proc. of IEEE Winter Conf. on Applications of Computer Vision (WACV), Hawaii, USA, 2024. Co-last authors*. [PDF]

• Junuk Cha, Muhammad Saqlain, GeonU Kim, Mingyu Shin, Seungryul Baek, “Multi-Person 3D Pose and Shape Estimation via Inverse Kinematics and Refinement”, in Proc. of European Conference on Computer Vision (ECCV), Tel Aviv, Israel, 2022. [PDF][Code]

International journal and arxiv

• Hansol Lee, Junuk Cha, Yunhoe Ku, Jae Shin Yoon*, Seungryul Baek*, “Dynamic Appearance Modeling of Clothed 3D Human Avatars using a Single Camera”, in arXiv 2023. Co-last authors*. [PDF]

• Changhwa Lee, Junuk Cha, Hansol Lee, Seongyeong Lee, Donguk Kim, Seungryul Baek, “HOReeNet: 3D-aware Hand-Object Grasping Reenactment”, in arXiv 2022. [PDF]

• Junuk Cha, Muhammad Saqlain, Donguk Kim, Seungeun Lee, Seongyeong Lee, Seungryul Baek, “Learning 3D Skeletal Representation From Transformer for Action Recognition”, in IEEE Access 2022 (IF: 3.367). [PDF]

• Muhammad Saqlain, Donguk Kim, Junuk Cha, Changhwa Lee, Seongyeong Lee, Seungryul Baek, “3DMesh-GAR: 3D human body mesh-based method for group activity recognition”, in Sensors 2022 (IF:3.576). [PDF]

• Junuk Cha, Muhammad Saqlain, Changhwa Lee, Seongyeong Lee, Seungeun Lee, Donguk Kim, Won-Hee Park, Seungryul Baek, “Towards Single 2D Image-level Self-supervision for 3D Human Pose and Shape Estimation”, in Journal of Applied Sciences 2021 (IF:2.679). [PDF] [Code]

Internships

Research Scientist/Engineer Intern at Adobe, San Jose, CA, USA (Feb. 2024 - May 2024)

Academic Activities

• Program Committee (Peer-Reviewer) at AAAI 2024.
• Program Committee (Emergency-Reviewer) at BMVC 2023.
• Program Committee (Peer-Reviewer) at AAAI 2023.

Patents

• Dangerous Region Approaching Worker Detection and Stopping Machine Device Based on Thermal Images, 2023. Applicant : UNIST and Hyundai

Projects

• Development of vision recognition module for ARTG control, Ministry of Oceans and Fisheries, Jun. 2023 ~ Dec. 2023
  • Detecting object and predicting multi agent’s future trajectory with velocity
• Development of an optimized human detection system algorithm for production factory environments, Hyundai, Jun. 2022 ~ Dec. 2023
  • Detecting human segmentation masks and bounding boxes
  • Improving performance for corner cases such as occluded people

Teaching Assistant & Mentoring

• Mentoring
  • 2nd Ulju AI 4.0 Studio at UNIST, Ulsan, South Korea, Mar. 2022 ~ Nov. 2022.
• TA
  • Navy AI professionals training process TA, Jinhae, South Korea, 12 Sep. 2023.
  • 5th AI Novatus Academia PBL (Computer Vision part) at UNIST AI Innovation Park, Ulsan, South Korea, Mar. 2023 ~ Jun.2023.
  • 1st Gyungnam AI Novatus Academia (Computer Vision part) at UNIST AI Innovation Park, Masan, South Korea, 15 Apr. 2022.
  • 3rd AI Novatus Academia (Computer Vision part) at UNIST AI Innovation Park, Ulsan, South Korea, 25 Feb. 2022.
• Lecture TA
  • 2023 Fall AI51601 Computer Vision.
  • 2021 Fall ITP11701 Introduction to AI Programming 2.