I have 5 goals.
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Hi! I'm an undergraduate student at Seoul National University,
majoring in Electrical and Computer Engineering.
I am currently
a soldier in Republic of Korea Air Force (ROKAF).
I am leading team ROUND.
Contact me if you are interested! Check Email Here
[News]
- Jun 2025 나라의 마지막 희망; 그리고 나아가야할 방향
- Jun 2025 I'm going to YC AI startup school. See you in San Francisco
- May 2025 Gave a talk at Balaji NS
Publications
* equal contribution
† project lead
SyncSDE: A Probabilistic Framework for Diffusion Synchronization
Hyunjun Lee*,
Hyunsoo Lee*,
Sookwan Han†
In CVPR 2025
[arXiv]
[Project Page]
* equal contribution
Beyond the Contact: Discovering Comprehensive Affordance for 3D Objects from Pre-trained 2D Diffusion Models
Hyeonwoo Kim*,
Sookwan Han*,
Patric Kwon,
Hanbyul Joo
In ECCV 2024
as Oral Presentation
[arXiv]
[Project Page]
[Code]
Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images
Sookwan Han,
Hanbyul Joo
In ICCV 2023
as Oral Presentation
[arXiv]
[Project Page]
[Code]
* equal contribution
Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models
Byungjun Kim*,
Patric Kwon*,
Kwangho Lee,
Myunggi Lee,
Sookwan Han,
Daesik Kim,
Hanbyul Joo
In ICCV 2023
as Oral Presentation
[arXiv]
[Project Page]
[Code]
Affiliation
Seoul National University
Undergraduate
Major: Electrical and Computer Engineering
Leave of absence for military service: 2023 2nd - 2025 1st (2 years)
Student Body President of SNU ECE (2022)
Seoul Science High School
Graduated
Major: Math, Physics
Research/Work Experience
Visual Computing Lab
Intern
2022.03 - 2023.11
Advisor: Hanbyul Joo
Research Area: Human-Object Interaction
Our research focuses on advancing machine perception by developing algorithms and models that enable machines to accurately understand and perceive the interactions between humans and objects.
* I have given a short lecture on diffusion models during internship: you can see the materials here.
VLSI Lab
Intern
2021.09 - 2022.02
Advisor: Jaejoon Kim
Research Area: Quantized/Compressed Neural Networks
Our research focuses on quantizing and compressing neural networks, with a particular emphasis on transformers. The goal is to optimize their performance specifically for embedded devices.
Honors/Awards
During Military
2024
Republic of Korea Airforce
Unstructured Data-Transformation Automation (with ROUND team)
(Jun) Received Chief-of-Staff of Air Force Award
(Sep) Received Minister of National Defense Award
Physics Expert Certification
2023.08
Korean Physical Society
Certified as Expert in all fields
SNU FastMRI Challenge
2023.07 - 2023.08
SNU Dept. of Electrical & Computer Engineering
Won 1st place (out of 144 teams, Team Captain)
Kudos to Teammates: Junsung
Heart Disease AI Datathon
2021.11 - 2021.12
Ministry of Science and ICT, National Information Society Agency, SNU College of Medicine, Yonsei Office of Research Affairs
Received Grand Prize (out of 169 teams, Team Captain)
Kudos to Teammates: Sooho, Hoo, Hohun
University Mathematics Competition
2020.11
Korean Mathematical Society
Received Gold Prize
Scholarships
Google Travel Grants
2023, 2024
Google
Support for attending AI conferences (ICCV, ECCV)
Presidential Science Scholarship
2020.03 - Present
Korea Student Aid Foundation (KOSAF)
Full scholarship for undergraduate studies and additional living expenses support