The PDF version of the CV is available at the following link.
Ph.D. (Sep 2020 ~ Aug 2025)
M.S. & Ph.D. integrated program in Computer Science and Engineering at Korea University. (Advisor: Hyunwoo J. Kim)
Dissertation: Token Compression for Accelerating and Improving Modern Vision Architectures
GPA : 4.24 / 4.50 (97.0 / 100)
Teaching Fellow: COSE474 (Deep Learning, 2020)
Teaching Assistant: COSE361 (Artificial Intelligence, 2021-2022)
B.S. (Mar 2016 ~ Sep 2020)
Bachelor of Science, Computer Science and Engineering at Korea University
GPA: 4.02 / 4.50 (94.5/100)
2025
[C8] Representation Shift: Unifying Token Compression with FlashAttention
International Conference on Computer Vision (ICCV), 2025
Joonmyung Choi*, Sanghyeok Lee*, Byungoh Ko, Eunseo Kim, Jihyung Kil, Hyunwoo J. Kim
[C7] EfficientViM: Efficient Vision Mamba with Hidden State Mixer based State Space Duality
Conference on Computer Vision and Pattern Recognition (CVPR), 2025
Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
[J1] Parameter-Efficient Fine-Tuning via Meta-Regularizer
International Journal of Computer Vision (IJCV), 2025
Jinyoung Park, Juyeon Ko, Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
[U] Transferable Model-agnostic Vision-Language Model Adaptation for Efficient Weak-to-Strong Generalization
under review, 2025
Jihwan Park, Taehoon song, Sanghyeok Lee, Miso Choi, Hyunwoo J. Kim
[U] SuperClip Pyramid with Positional Parameterization for Video Temporal Grounding
under review, 2025
Sanghyeok Lee, Juyeon Ko, Joonmyung Choi, Jongha Kim, Hyunwoo J. Kim
[U] TabFlash: Efficient Table Understanding with Progressive Question Conditioning and Token Focusing
under review, 2025
Jongha Kim, Minseong Bae, Sanghyeok Lee, Jinsung Yoon, Hyunwoo J. Kim
2024
[C6] vid-TLDR: Training Free Token merging for Light-weight Video Transformer
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Joonmyung Choi*, Sanghyeok Lee*, Jaewon Chu, Minhyuk Choi, Hyunwoo J. Kim
[C5] Multi-criteria Token Fusion with One-step-ahead Attention for Efficient Vision Transformers
Conference on Computer Vision and Pattern Recognition (CVPR), 2024
Sanghyeok Lee*, Joonmyung Choi*, Hyunwoo J. Kim
arxiv preprint, 2024
Juhan Cha*, Minseok Joo*, Jihwan Park, Sanghyeok Lee, Injae Kim, Hyunwoo J. Kim
2023
[C4] Read-only Prompt Optimization for Vision-Language Few-shot Learning
International Conference on Computer Vision (ICCV), 2023
DongJun Lee*, Seokwon Song*, Jihee Suh, Joonmyung Choi, Sanghyeok Lee, Hyunwoo J. Kim
[C3] Self-positioning Point-based Transformer for Point Cloud Understanding
Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Jinyoung Park*, Sanghyeok Lee*, Sihyeon Kim, Yunyang Xiong, Hyunwoo J. Kim
2022
[C2] SageMix: Saliency-Guided Mixup for Point Clouds
Conference on Neural Information Processing Systems (NeurIPS), 2022
Sanghyeok Lee*, Minkyu Jeon*, Injae Kim, Yunyang Xiong, Hyunwoo J. Kim
2021
[C1] Point Cloud Augmentation with Weighted Local Transformations
International Conference on Computer Vision (ICCV), 2021
Sihyeon Kim*, Sanghyeok Lee*, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim
Post Doctoral Researcher @ KAIST (Machine Learning & Vision Lab)
Sep 2025 - Aug 2025
Projects:
InnoCORE LLM Innovation Research Center (Sep 2025 - Present)
Funded by the Ministry of Science and ICT (MSIT).
Led the development of efficient Video MLLMs for long video understanding.
Research on Learning Strategies and Data Augmentation Techniques to Mitigate Dataset Bias (Sep 2025 - Present)
Funded by Electronics and Telecommunications Research Institute (ETRI).
Focused on lightweight model development for real-time egocentric video analysis.
Graduate Student Researcher @ Korea University (Machine Learning & Vision Lab)
Sep 2020 - Aug 2025
Projects:
Media Content Summarization through Video Understanding (Aug 2024 - Jul 2025)
Project Lead, Funded by KT, Collaboration with KT Gen AI Lab, Vision AI Team.
Developed video temporal grounding and LLM-based end-to-end video summarization models.
Blood Image Analysis for the Diagnosis of Infectious Diseases and Blood Cancers (Jul 2022 - Dec 2024)
Project lead, Funded by the Korea Health Industry Development Institute (KHIDI).
Developed malaria-infected sample classification and infected cell detection models with diverse blood image modalities (bright-field, Giemsa-stained, fluorescence, and LAMP-MS assay images)
Developing a Deep Learning–based Program for Tooth Axis Identification and Automated Orthodontic Set-Ups (Feb 2020 - Nov 2021)
Project Lead, Funded by the Korea Technology and Information Promotion Agency for SMEs (TIPA).
Developed 3D teeth classification and object detection models, and a 3D alignment system for automated tooth axis set-up.
Initial Team Member @ Drone Laps
May 2021 - Dec 2021
Early-stage startup for Drone-Based Autonomous Maintenance Service
Sponsored by the Korea Ministry of Science and ICT ($ 70,000)
Market research, Business model design
[P4] Biosensor for LAMP product detection in LAMP analysis
Chaeseung Lim, Woongsik Jang, Minkyeong Choi, Seoyeon Park, Hyunwoo J. Kim, Sanghyeok Lee, Injae Kime
Korean Patent (10-2024-0168968), filed on Nov 22, 2024.
[P3] 3D DATA AUGMENTATION METHOD USING WEIGHTED LOCAL TRANSFORMATION AND APPARATUS THEREFORE
Hyunwoo J. Kim, Sihyeon Kim, Sanghyeok Lee, Jinyoung Park
Korean Patent (10-2636217), registered on Feb 07, 2024.
[P2] METHOD FOR GENERATING HIGH QUALITY VIDEO WITH PROFESSIONAL FILMING TECHNIQUES THROUGH DEEP LEARNING TECHNOLOGY BASED 3D SPACE MODELING AND POINT-OF-VIEW SYNTHESIS AND APPARATUS FOR SAME
Hyunwoo J. Kim, Sihyeon Kim, Jooyeon Kim, Sanghyeok Lee
Korean Patent (10-2593135), registered on Oct 19, 2023.
[P1] METHOD AND APPARATUS FOR READ-ONLY PROMPT LEARNING
Hyunwoo J. Kim, Jinyoung Park, Joonmyung Choi, Sanghyeok Lee, Dongjun Lee, Seokwon Song, Jihee Suh
Korean Patent (10-2563550), registered on Aug 7, 2023.
[C1] EfficientViM (Efficient Vision Mamba for Computer Vision)
Sanghyeok Lee, Joonmyung Choi, Hyunwoo J. Kim
Korean Computer Program Copyright (C-2024-055621), registered on Dec 26, 2024.
[2] Token Reductions for Efficient Vision Transformers
Invited talk @ Naver AI Lab (Naver 1784), Mar 2024
[1] 3D Point Cloud and Transformer
Invited talk / Tutorial @ Korean Computer Vision Society (KCVS) Workshop, Feb 2023
InnoCORE Postdoctoral Fellowship @ Ministry of Science and ICT (MSIT). 2025
Outstanding Paper Award @ Korea Univ. 2024
Travel Awards @ CVPR. 2024
Travel Awards @ NeurIPS. 2022
Research Grants @ Brain Korea 21(BK21). 2021, 2022
Future Research Fellowship @ Brain Korea 21(BK21). 2021, 2022
Teaching Assistantship @ Korea Univ. 2021,2022
Teaching Fellowship @ Korea Univ. 2020
Scholarship @ Korea Univ. 2016,2017,2018,2019,2020
Program Committee in
2024-2025 MICCAI 2nd & 3rd International Workshop on Foundation Models for General Medical AI (MedAGI)
Reviewer in
2023-Present Computer Vision and Pattern Recognition (CVPR)
2023-Present Advances in Neural Information Processing Systems (NeurIPS)
2024 European Conference on Computer Vision (ECCV)
2025 International Conference on Computer Vision (ICCV)
2024 IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
2024-2025 IEEE Transactions on Multimedia (TMM)
2024 IEEE Transactions on Image Processing (TIP)