Sangmin Lee

Postdoctoral Researcher

Department of Computer Science

University of Illinois Urbana-Champaign (UIUC)

sangminl [at] illinois.edu

[CV] | [Google Scholar] | [GitHub] | [LinkedIn]

I am a Postdoctoral Researcher in Computer Science at the University of Illinois Urbana-Champaign, working with James M. Rehg. I am currently affiliated with the Rehg Lab at the Georgia Institute of Technology. I received my Ph.D. from KAIST under the supervision of Yong Man Ro. Prior to that, I obtained my B.S. from Yonsei University

My research interests lie in expanding machine capabilities through multimodal perception and minimal supervision. I investigate multimodal learning to comprehensively leverage visual, language, audio, and physiological signals for holistic reasoning. Furthermore, I explore self-supervised learning to effectively derive feature representations even from weakly-labeled or unlabeled data. Building upon these foundations, my current research focuses on developing socially intelligent machines that can understand and interact with humans in social contexts seamlessly.

Research Interests

Multimodal Learning

 - Visual + Language / Audio / Physiological Signals

Self-supervised Learning

 - Weakly-labeled / Unlabeled Data

Social Artificial Intelligence

 - Social Understanding / Reasoning

Experience

Georgia Institute of Technology (Georgia Tech), GA, United States (Oct 2023 - Present) 

 - Affiliated Researcher in Interactive Computing

University of Illinois Urbana-Champaign (UIUC), IL, United States (May 2023 - Present) 

 - Postdoctoral Researcher in Computer Science - Advisor: Prof. James M. Rehg 

Education

Korea Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea (Feb 2017 - Feb 2023) 

 - Ph.D. in Electrical Engineering - Advisor: Prof. Yong Man Ro

Yonsei University, Seoul, South Korea (Mar 2012 - Feb 2017) 

 - B.S. in Electrical & Electronic Engineering 

Publications

Sangmin Lee, Bolin Lai, Fiona Ryan, Bikram Boote, James M. RehgCVPR 2024 (Oral Presentation) [ Acceptance Rate 0.8% ]
Dongjin Kim*, Sung Jin Um*, { Sangmin Lee, Jung Uk Kim } ( Corresponding Author)CVPR 2024 
Sangmin Lee, Sungjune Park, and Yong Man RoECCV 2022 
Sangmin Lee, Hyung-Il Kim, and Yong Man RoCVPR 2022 
Sangmin Lee, Hak Gu Kim, Dae Hwi Choi, Hyung-Il Kim, and Yong Man RoCVPR 2021 (Oral Presentation) [ Acceptance Rate 4% ] Samsung HumanTech Paper Award, Competition Rate 17:1
Jung Uk Kim, Seong Tae Kim, Hong Joo Lee, Sangmin Lee, and Yong Man RoIEEE TCSVT 2021 
Sangmin Lee, Seongyeop Kim, Hak Gu Kim, and Yong Man RoIEEE TCSVT 2021 
Hak Gu Kim, Sangmin Lee, Seongyeop Kim, Heoun-taek Lim, and Yong Man RoAAAI 2021  
Hak Gu Kim, Minho Park, Sangmin Lee, Seongyeop Kim, and Yong Man RoAAAI 2021  
Sangmin Lee, Jung Uk Kim, Hak Gu Kim, Seongyeop Kim, and Yong Man RoECCV 2020 
Hong Joo Lee, Jung Uk Kim, Sangmin Lee, Hak Gu Kim, and Yong Man RoCVPR 2020   
Minho Park, Sangmin Lee, and Yong Man RoICASSP 2020 (Oral Presentation) 
Sangmin Lee, Hak Gu Kim, and Yong Man RoIEEE TIP 2020 
Minho Park, Hak Gu Kim, Sangmin Lee, and Yong Man RoIEEE TCSVT 2020 
Seongyeop Kim, Sangmin Lee, and Yong Man RoICIP 2020 (Oral Presentation) 
Sangmin Lee, Seongyeop Kim, Hak Gu Kim, Min Seob Kim, Seokho Yun, Bumseok Jeong, and Yong Man RoICIP 2019 
{ Kihyun Kim*, Sangmin Lee* }, Hak Gu Kim, Minho Park, and Yong Man Ro (* Equal Contribution)ICIP 2019 (Oral Presentation) ICIP Best Paper Finalist, Top 1% of Submissions
Hak Gu Kim, Heoun-taek Lim, Sangmin Lee, and Yong Man RoIEEE TIP 2019  
Wissam J. Baddar, Sangmin Lee, and Yong Man RoIEEE TAFFC 2019  
Sangmin Lee, Hak Gu Kim, and Yong Man RoICASSP 2018 (Oral Presentation) 

Patents

Korea Patent 2244187 / PCT Patent App. 003461 

Korea Patent 2284266 / US Patent 11699072 

Korea Patent 2291257 / US Patent 11252371  

Korea Patent 2095097 

Awards & Honors

1st Place Winner of Ad-hoc Video Search Competition (2022)

 - 11th Video Browser Showdown (International Challenge)

Samsung HumanTech Paper Award, Honor Prize ($2,000) (2021)

 - Samsung Electronics

Outstanding Project Selection (Graduate Project Lead) (2020)

 - Institute of Information & communications Technology Planning & Evaluation (IITP)

Outstanding TA Award (2 Times) (2019, 2020)

 - Korea Advanced Institute of Science and Technology (KAIST)

ICIP Best Paper Finalist (2019)

 - IEEE International Conference on Image Processing (ICIP)

ICIP Top 10% Paper Selection (2019)

 - IEEE International Conference on Image Processing (ICIP)

National Government Fellowship (2017 - 2023)

 - Government of South Korea

Professional Activities

Reviewer

 - Conference on Computer Vision and Pattern Recognition (CVPR) - International Conference on Computer Vision (ICCV) - European Conference on Computer Vision (ECCV) - Medical Image Computing and Computer Assisted Intervention (MICCAI) - IEEE Transactions on Image Processing (TIP) - IEEE Transactions on Neural Networks and Learning Systems (TNNLS) - IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) - IEEE Transactions on Visualization and Computer Graphics (TVCG) - IEEE Transactions on Multimedia (TMM)

Invited Talks

 - Associative Learning for Multimodal Representation under Ambiguous Pair Problems @ KHU (2023) - Weakly Paired Associative Learning for Sound and Image Representations @ ETRI (2022) - Deep Learning-based VR Sickness Assessment @ IEEE Standard Association WG 3079 (2019) - Quantitative Analysis on VR Sickness Considering Content Quality Factor @ TTA Standardization PG 610 (2019)

Teaching

 - [Lecturer] Artificial Intelligence with Deep Learning @ DTaQ (2022) - [Programming Lecturer & TA] EE474 Introduction to Multimedia @ KAIST (2018, 2019, 2020) - [TA] EE205 Data Structures and Algorithms @ KAIST (2020) - [TA] EE636 Digital Video Processing @ KAIST (2018, 2019)