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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 and ECCV.

My research focuses on machine perception of data from various modalities, aiming to develop vision models effective for real-world scenarios. I have worked on visual recognition using language, 3D reconstruction from 2D image, and generalizable representation learning.

Education

Feb. 2018 - Feb. 2022 POSTECH, Pohang, South Korea
B.S. degree from Computer Science and Engineering
Summa Cum Laude
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

Work Experience

Jan. 2022 - March 2022 Research Intern, POSTECH Algorithmic Machine Intelligence Lab
Advised by Prof. Tae-Hyun Oh
– Research Topic: 3D Human Pose and Shape Estimation
– A paper has been accepted (ECCV 2022)
July 2020 - Dec. 2021 Research Intern, POSTECH Computer Vision Lab
Advised by Prof. Suha Kwak
– Research Topic: Grounded Situation Recognition
– Two papers have been accepted (CVPR 2022 & BMVC 2021)
Jan. 2020 - Feb. 2020 Research Intern, Samsung Research
– Research Topic: Hand Gesture Video Classification

Publications

  1. 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
    arXiv Project Page
  2. Collaborative Transformers for Grounded Situation Recognition
    Junhyeong Cho, Youngseok Yoon, and Suha Kwak
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
    arXiv Project Page
  3. Grounded Situation Recognition with Transformers
    Junhyeong Cho*, Youngseok Yoon*, Hyeonjun Lee*, and Suha Kwak (*equal contribution)
    British Machine Vision Conference (BMVC), 2021
    arXiv Project Page

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)