Taewoo Kim — Portfolio
Taewoo Kim, Ph.D. (KAIST)
Machine Learning Engineer, Qualcomm Korea
Email: an625148 (at) gmail.com
About me
I am a Machine learning Engineer at Qualcomm Korea, developing ML-based computational imaging and camera algorithms. Before joining Qualcomm, I completed my Ph.D. at KAIST under the supervision of Prof. Kuk-Jin Yoon, where I worked on computer vision, machine learning, and computational imaging. My recent research interests include Generative AI, computational photography, and multi-modal data fusion.
Publications
ICCV 2025
Event-guided Unified Framework for Low-light Video Enhancement, Frame Interpolation, and Deblurring
Taewoo Kim, Kuk-Jin Yoon
[Paper]
Event-guided Unified Framework for Low-light Video Enhancement, Frame Interpolation, and Deblurring
Taewoo Kim, Kuk-Jin Yoon
[Paper]
NeurIPS 2024
A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
Hoonhee Cho*, Taewoo Kim*, Yuhwan Jeong, Kuk-Jin Yoon
[Paper]
A Benchmark Dataset for Event-Guided Human Pose Estimation and Tracking in Extreme Conditions
Hoonhee Cho*, Taewoo Kim*, Yuhwan Jeong, Kuk-Jin Yoon
[Paper]
ECCV 2024
Towards Real-world Event-guided Low-light Video Enhancement and Deblurring
Taewoo Kim, Jaeseok Jeong, Hoonhee Cho, Yuhwan Jeong, Kuk-Jin Yoon
[Paper]
Towards Real-world Event-guided Low-light Video Enhancement and Deblurring
Taewoo Kim, Jaeseok Jeong, Hoonhee Cho, Yuhwan Jeong, Kuk-Jin Yoon
[Paper]
ECCV 2024
CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring
Taewoo Kim*, Hoonhee Cho*, Kuk-Jin Yoon
[Paper]
CMTA: Cross-Modal Temporal Alignment for Event-guided Video Deblurring
Taewoo Kim*, Hoonhee Cho*, Kuk-Jin Yoon
[Paper]
CVPR 2024
Frequency-aware Event-based Video Deblurring for Real-world Motion Blur
Taewoo Kim*, Hoonhee Cho*, Kuk-Jin Yoon
[Paper]
Frequency-aware Event-based Video Deblurring for Real-world Motion Blur
Taewoo Kim*, Hoonhee Cho*, Kuk-Jin Yoon
[Paper]
CVPR 2024
TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation
Hoonhee Cho, Taewoo Kim, Yuhwan Jeong, Kuk-Jin Yoon
[Paper]
TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation
Hoonhee Cho, Taewoo Kim, Yuhwan Jeong, Kuk-Jin Yoon
[Paper]
ICCV 2023
Non-coaxial Event-Guided Motion Deblurring with Spatial Alignment
Hoonhee Cho, Yuhwan Jeong, Taewoo Kim, Kuk-Jin Yoon
[Paper]
Non-coaxial Event-Guided Motion Deblurring with Spatial Alignment
Hoonhee Cho, Yuhwan Jeong, Taewoo Kim, Kuk-Jin Yoon
[Paper]
CVPR 2023
Event-based Video Frame Interpolation with Cross-Modal Asymmetric Bidirectional Motion Fields
Taewoo Kim, Yujeong Chae, Hyun-Kurl Jang, Kuk-Jin Yoon
Highlight Paper (Top 2.5%)
[Paper]
Event-based Video Frame Interpolation with Cross-Modal Asymmetric Bidirectional Motion Fields
Taewoo Kim, Yujeong Chae, Hyun-Kurl Jang, Kuk-Jin Yoon
Highlight Paper (Top 2.5%)
[Paper]
ECCV 2022
Event-guided Deblurring of Unknown Exposure Time Videos
Taewoo Kim, Jeongmin Lee, Wang Lin, Kuk-Jin Yoon
Oral Presentation (Top 2.7%)
[Paper]
Event-guided Deblurring of Unknown Exposure Time Videos
Taewoo Kim, Jeongmin Lee, Wang Lin, Kuk-Jin Yoon
Oral Presentation (Top 2.7%)
[Paper]
RA-L + IROS 2020
Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos with Spatiotemporal Loop Consistency
Taewoo Kim, Kwonyoung Ryu, Kyeongseob Song, Kuk-Jin Yoon
Oral Presentation
[Paper]
Loop-Net: Joint Unsupervised Disparity and Optical Flow Estimation of Stereo Videos with Spatiotemporal Loop Consistency
Taewoo Kim, Kwonyoung Ryu, Kyeongseob Song, Kuk-Jin Yoon
Oral Presentation
[Paper]
Education
Ph.D. in Mechanical Engineering, KAIST
Feb. 2025
Thesis: Video Enhancement with Event Cameras
Advisor: Prof. Kuk-Jin Yoon
M.S. in Robotics, KAIST
Feb. 2020
Thesis: Joint Unsupervised Disparity and Optical Flow Estimation
Advisor: Prof. Kuk-Jin Yoon
B.S. in Mechanical Engineering, Yonsei University
Feb. 2017
Awards
- CVPR 2023 Highlight Paper — Top 2.5% of all submissions
- ECCV 2022 Oral Presentation — Top 2.7% of all submissions
- IPIU 2023 Gold Prize — Second Best Paper Award
Reviewer Services
- Conferences: CVPR, ICCV, ECCV, WACV, NeurIPS, SIGGRAPH Asia
- Journals: IEEE TPAMI, IJCV, Neural Networks, RA-L, IJAT