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Jeonghyeok Do
Jeonghyeok Do
Ph.D. Candidate (5th yr.)
Korea Advanced Institute of Science and Technology (KAIST)
School of Electrical Engineering
Video and Image Computing Lab. (VIC Lab.)
Advisor: Prof. Munchurl Kim
E-mail: ehwjdgur0913@kaist.ac.kr
YouTube: @dosensei97
[CV] [Google Scholar]
Preprint
Preprint
PAN-Crafter: Learning Modality-Consistent Alignment for PAN-Sharpening
Jeonghyeok Do, Sungpyo Kim, Geunhyuk Youk, Jaehyup Lee† and Munchurl Kim†
(†Co-corresponding authors)
arXiv preprint, 2025.
[PDF] [Project Page] [GitHub]
C-DiffSET: Leveraging Latent Diffusion for SAR-to-EO Image Translation with Confidence-Guided Reliable Object Generation
Jeonghyeok Do, Jaehyup Lee† and Munchurl Kim†
(†Co-corresponding authors)
arXiv preprint, 2024.
[PDF] [Project Page] [GitHub]
TDSM: Triplet Diffusion for Skeleton-Text Matching in Zero-Shot Action Recognition
International Publications
International Publications
U-Know-DiffPAN: An Uncertainty-aware Knowledge Distillation Diffusion Framework with Details Enhancement for PAN-Sharpening
Sungpyo Kim, Jeonghyeok Do, Jaehyup Lee† and Munchurl Kim†
(†Co-corresponding authors)
Conference on Computer Vision and Pattern Recognition (CVPR), 2025.
[PDF] [Project Page]
SkateFormer: Skeletal-Temporal Transformer for Human Action Recognition
Jeonghyeok Do and Munchurl Kim
European Conference on Computer Vision (ECCV), 2024.
[PDF] [Supple.] [Project Page] [GitHub] [Youtube]
MorphVAD: Efficient Video Anomaly Detection Using Morphological Transformation
Jeonghyeok Do and Munchurl Kim
International Conference on Visual Communications and Image Processing (VCIP), IEEE, Dec. 2023.
[PDF]
Multi-modal Transformer for Indoor Human Action Recognition
Jeonghyeok Do and Munchurl Kim
2022 22nd International Conference on Control, Automation and Systems (ICCAS). IEEE, pp. 1155-1160, Nov. 2022.
[PDF]
Pseudo-Supervised Learning for Semantic Multi-Style Transfer
Learning-based JND-directed HDR Video Preprocessing for Perceptually Lossless Compression with HEVC
NTIRE 2020 Challenge on NonHomogeneous Dehazing
Codruta O. Ancuti, Cosmin Ancuti, Florin-Alexandru Vasluianu, Radu Timofte [and 48 others, including Jeonghyeok Do]
In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2020.
[PDF]
Domestic Publications
Domestic Publications
Jeonghyeok Do, and Munchurl Kim, “Priors on Bone Length Consistency for Skeleton-based Action Recognition,” Korea Institute of Broadcast and Media Engineers (KIBME) Workshops, Jun. 2023.
Jeonghyeok Do, Hyeonjun Sim, Gayoung Lee, Seongho Baek, and Munchurl Kim, “Efficient Video Anomaly Detection via Future Frame Prediction and Dual Memory Network,” Korea Institute of Industrial Engineers (KIIE) Workshops, Nov. 2021.
Jeonghyeok Do, and Munchurl Kim, “Efficient Video Anomaly Detection with Future Frame Prediction,” Korea Institute of Military Science and Technology (KIMST) Workshops, Nov. 2021.
Jeonghyeok Do, and Munchurl Kim, “Wafer Map Defect Pattern Classification with Progressive Pseudo-Labeling Balancer,” Korea Institute of Broadcast and Media Engineers (KIBME) Workshops, Nov. 2020.
Jeonghyeok Do, and Munchurl Kim, “Adaptive Attention based U-Net for Image Dehazing,” Korea Institute of Military Science and Technology (KIMST) Workshops, Nov. 2020.
Research Interests
Research Interests
Deep Learning
Diffusion Models (DMs)
Graph Convolutional Networks (GCN)
Low-level Computer Vision
Satellite Imagery (Remote Sensing)
Image Dehazing
High-level Computer Vision
Skeleton-based Action Recognition
Video Anomaly Detection
Multi-modal Action Recognition
Peer Review Experience
Peer Review Experience
Reviewer for IEEE/CVF International Conference on Computer Vision (ICCV) 2025.
Reviewer for IEEE/CVF Computer Vision and Pattern Recognition (CVPR) 2025.
Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
Reviewer for IEEE Visual Communications and Image Processing (VCIP) 2024.
Reviewer for IEEE Visual Communications and Image Processing (VCIP) 2023.
Education
Education
Postdoc. in Electrical Engineering, KAIST
Sep. 2025 - Present
Topic: Skeleton-based Action Recognition, Remote Sensing Imagery, and Diffusion Models
Ph.D. in Electrical Engineering, KAIST
Mar. 2021 - Aug. 2025
Advisor: Prof. Munchurl Kim
G.P.A: 4.21 (40 credits completed, including those of M.S.)
M.S. in Electrical Engineering, KAIST
Mar. 2019 - Feb. 2021
Advisor: Prof. Munchurl Kim
G.P.A: 4.20 (51 credits completed)
B.S. in Electrical Engineering, KAIST
Mar. 2015 - Feb. 2019
G.P.A: 3.80 (151 credits completed)
Cum Laude
Double Major: Department of Mathematical Sciences
ChungBuk Science High School (CBSH)
Mar. 2013 - Feb. 2015
Early graduation (2 years)
Awards and Honors
Awards and Honors
KAIST President Award, Feb. 2015
Hanseong Nobel Scholarship Student ($5,000), Sep. 2014
Major Skills
Major Skills
Deep Learning Framework
PyTorch
Programming Languages
C, Matlab, Python
Operating System
Window
Document Work Tools
Word, PowerPoint, Excel, Visio, LaTeX, PyCharm
Project Experiences
Project Experiences
LG Electronics Co., Ltd.
Low complexity deep Learning based super-resolution. (Support)
Sep. 2019 - Jan. 2020
SK Hynix
Defect Auto Define with Edge BMW Classification. (Project Lead)
Jan. 2020 - Nov. 2020
SK Hynix
Video Anomaly Detection based on Image Sequence Prediction. (Project Lead)
Jan. 2021 - Oct. 2021
Agency for Defense Development (ADD) - Center for Applied Research in Artificial Intelligence (CARAI)
MX-24: Soldier/Unit Action Recognition based on Multi-modal Learning. (Project Lead)
Jan. 2020 - Dec. 2022
Stellarvision
SAR-to-EO Image Translation. (Project Lead)
Nov. 2023 - Present
Workshops
Workshops
Workshop on Deep Learning Technology and Real-Time Implementation of Deep Technology
Topic : Deep Learning, Super Resolution, Frame Interpolation, HDR, Neural Networks Compression, GPU
Host Institution : Open Standards and ICT Association (OSIA)
Aug. 2019
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