I am a Ph.D candidate majoring in computer vision and machine learning at SNU computer vision lab, advised by Prof. Kyoung Mu Lee.
Research Interests
Human-centric computer vision, including human pose estimation, behavior understanding and motion generation.
Publications
"SIGNER: Temporally Grounded Sign Language Generation via Time-Resolved Conditioning", in ECCV 2026. Taeryung Lee, Hyeongjin Nam, Gyeongsik Moon and Kyoung Mu Lee.
[Project Page] [ARXIV]
"T2LM: Long-Term 3D Human Motion Generation from Multiple Sentences", in CVPR 2024 workshop. Taeryung Lee, Fabien Baradel, Thomas Lucas, Kyoung Mu Lee and Gregory Rogez.
[Project Page] [ARXIV]
"Human Part-wise 3D Motion Context Learning for Sign Language Recognition", in ICCV 2023. Taeryung Lee, Yeonguk Oh and Kyoung Mu Lee.
[ARXIV]
"Empirical Study of Pre-training a Backbone for 3D Human Pose and Shape Estimation", in ICLR 2023.
Hongsuk Choi*, Hyeongjin Nam*, Taeryung Lee, Gyeongsik Moon and Kyoung Mu Lee. (* equal contribution)
[ARXIV]
"MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels", in AAAI 2023 (Oral presentation). Taeryung Lee*, Gyeongsik Moon* and Kyoung Mu Lee. (* equal contribution)
[ARXIV] [CODE]
Education
Ph. D. in Artificial Intellegence, Seoul National University (Mar. 2021 - )
B. Sc. in Mathematical Science and Computer Science, KAIST (Mar. 2013 - Feb. 2021)
HS, Gyeonggi Science High School (Mar. 2010 - Feb. 2013)
Honors and Awards
Sponsorship program from Samsung Research (Mar. 2024 - )
Qualcomm-KAIST Innovation Awards 2019
Software Development Hackathon on Emotion Recognition from Video winner,
Taeryung Lee and Junwoo Choi
Experiences
Research internship (Remote), Naver Labs Europe, Grenoble, France (Apr. 2023 - Nov. 2023)
Projects
Development of Sign Language Recognition system (May 2022 - May. 2023)
With Samsung SDS
Automated cryptocurrency trading system (Dec. 2018 - )