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I am a researcher dedicated to machine learning and computer vision, who studied computer science and engineering at POSTECH, Stanford, UIUC and UC Berkeley. I received my B.S. degree from POSTECH with the highest honor (Summa Cum Laude) in 2022. I have published research papers at top-tier computer vision conferences such as CVPR, ICCV and ECCV.

My research aims to develop practical AI systems that perceive and understand the 3D world for the effective interaction with humans. I have worked on 3D vision, multi-modal learning, model robustness, and efficient learning. I focus on these research questions:

  • 3D vision: How could we enable AI to comprehend the 3D world as humans do?
  • Multi-modal learning: How could we leverage various data for AI to interact with humans?
  • Model robustness: How could we develop robust AI to be deployed in real-world scenarios?
  • Efficient learning: How could we efficiently utilize large-scale models or deploy AI in real time?

Education

Feb. 2018 - Feb. 2022 POSTECH, Pohang, South Korea
B.S. degree from Computer Science and Engineering
Summa Cum Laude (Rank #2 in the department)
June 2021 - Aug. 2021 Stanford, California, United States
International Student in International Honors Program
GPA: 4.3/4.3
Jan. 2021 - May 2021 UIUC, Illinois, United States
Exchange Student in Computer Science
GPA: 4.0/4.0
Aug. 2018 - Dec. 2018 UC Berkeley, California, United States
International Student in Letters and Science

Selected Publications

  1. 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
  2. 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
  3. 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

Best Research Award (2022) Minister Award (2021) KFAS Undergraduate Student Scholarship (2020-2022) Young Engineers Honor Society Member (2019-2022)

Professional Services

Reviewer
  • IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • IEEE/CVF International Conference on Computer Vision (ICCV)
  • Conference on Neural Information Processing Systems (NeurIPS)
  • British Machine Vision Conference (BMVC)
  • The Visual Computer Journal (TVCJ)