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I am a researcher at ADD, the Korean counterpart to the U.S. DARPA. I received my bachelor’s degree (Summa Cum Laude) in Computer Science and Engineering at POSTECH, where I was fortunate to work with Prof. Tae-Hyun Oh and Prof. Suha Kwak. During my undergraduate, I also studied at Stanford, UIUC and UC Berkeley.

My research interests lie in computer vision and machine learning. The goal of my research is to build intelligent agents that can perceive and reason about our dynamic 3D world, with the ability to interact as humans do. To this end, I focus on (i) efficient 3D/4D reconstruction from real-life photo/video, (ii) multi-modal understanding of real-world situations, and (iii) realistic generation of natural human behaviors. I have published first-authored papers at CVPR, ECCV and ICCV, and been recognized as an outstanding reviewer at ICCV 2023.

News

10/2023 I am selected as an outstanding reviewer (top 1.89%) at ICCV 2023.
07/2023 Our paper on domain generalization, PromptStyler, is accepted to ICCV 2023.
07/2022 Our paper on 3D human reconstruction, FastMETRO, is accepted to ECCV 2022.
03/2022 Our paper on situation recognition, CoFormer, is accepted to CVPR 2022.
01/2022 I won the best research project award from POSTECH CSE.
10/2021 Our paper on situation recognition, GSRTR, is accepted to BMVC 2021.
01/2021 I won the minister’s award from Ministry of Science and ICT.

Education

02/2018 - 02/2022 POSTECH, Pohang, South Korea
B.S. in Computer Science and Engineering
Summa Cum Laude
06/2021 - 08/2021 Stanford University, California, United States
International Exchange Program (Summer 2021)
GPA: 4.3/4.3
01/2021 - 05/2021 UIUC, Illinois, United States
International Exchange Program (Spring 2021)
GPA: 4.0/4.0
08/2018 - 12/2018 UC Berkeley, California, United States
International Exchange Program (Fall 2018)

Selected Publications

  1. Object-Centric Domain Randomization for 3D Shape Reconstruction in the Wild
    Junhyeong Cho, Kim Youwang, Hunmin Yang, and Tae-Hyun Oh
    Under Review, 2024
  2. PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization
    Junhyeong Cho, Gilhyun Nam, Sungyeon Kim, Hunmin Yang, and Suha Kwak
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023
  3. Cross-Attention of Disentangled Modalities for 3D Human Mesh Recovery with Transformers
    Junhyeong Cho, Kim Youwang, and Tae-Hyun Oh
    European Conference on Computer Vision (ECCV), 2022
  4. Collaborative Transformers for Grounded Situation Recognition
    Junhyeong Cho, Youngseok Yoon, and Suha Kwak
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

Honors and Awards

ICCV Outstanding Reviewer (2023), IEEE/CVF International Conference on Computer Vision
  • Selected as top 1.89% among 6990 reviewers at ICCV 2023
Best Research Project Award (2022), POSTECH Computer Science and Engineering Department
  • Selected as the first place among 48 undergraduate CSE research projects
Stanford International Honors Program Student (2021), Stanford University
  • Selected as one of 2 distinguished POSTECH students for Stanford’s academic program
Minister Award (2021), Ministry of Science and ICT
  • Selected as the first place among 5 funded research projects
University Representative of POSTECH (2021), Young Engineers Honor Society
  • Selected as the university representative in 2021
KFAS Undergraduate Student Scholarship (2020-2022), Korea Foundation for Advanced Studies
  • Awarded a scholarship covering academic and living expenses
National Scholarship for Science and Engineering (2020-2022), Korea Student Aid Foundation
  • Awarded a full scholarship covering tuition and living expenses
Young Engineers Honor Society Member (2019-2022), The National Academy of Engineering of Korea
  • Selected as one of 3 distinguished POSTECH students

Professional Services

Conference Reviewer
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE/CVF International Conference on Computer Vision (ICCV) [Outstanding Reviewer in 2023]
  • European Conference on Computer Vision (ECCV)
  • Advances in Neural Information Processing Systems (NeurIPS)
  • AAAI Conference on Artificial Intelligence (AAAI)
  • British Machine Vision Conference (BMVC)
  • Asian Conference on Computer Vision (ACCV)
Journal Reviewer
  • International Journal of Computer Vision (IJCV)
  • IEEE Transactions on Image Processing (TIP)
  • IEEE Transactions on Multimedia (TMM)
  • IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
  • The Visual Computer Journal (TVCJ)