Curriculum Vitae

Jeonghyeok Do, and Munchurl Kim, “Beyond Fixed Partitions: Learning Dynamic Joint Grouping for Skeleton-based Action Recognition,” Korea Institute of Broadcast and Media Engineers (KIBME) Workshops, Dec. 2025.

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.

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

Reviewer for British Machine Vision Conference (BMVC) 2026.

Reviewer for Association for the Advancement of Artificial Intelligence (AAAI) 2026.

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 Visual Communications and Image Processing (VCIP) 2025.

Reviewer for IEEE Visual Communications and Image Processing (VCIP) 2024.

Reviewer for IEEE Visual Communications and Image Processing (VCIP) 2023.

Reviewer for IEEE Transactions on Image Processing (TIP).

Reviewer for IEEE Transactions on Neural Networks and Learning Systems (TNNLS).

Reviewer for IEEE Transactions on Multimedia (TMM).

Reviewer for ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM).

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)

Government Scholarship for Ph.D. Students, Mar. 2021 - Aug. 2025

KAIST Scholarship for M.S. Students, Mar. 2019 - Feb. 2021

National Scholarship for Undergraduate Students, Mar. 2015 - Feb. 2019

KAIST President Award, Feb. 2015

Hanseong Nobel Scholarship Student, Sep. 2014

Deep Learning Framework

• PyTorch

Programming Languages

• C, Matlab, Python

Operating System

• Window

Document Work Tools

Word, PowerPoint, Excel, Visio, LaTeX, PyCharm

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

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

Deep Learning-based Multi-modal Satellite Image Fusion

• Topic : Deep Learning, Remote Sensing Imagery, PAN Sharpening, SAR-to-EO Translation

• Host Institution : Invited Lecture at Prof. Jungho Im’s Lab, UNIST

• Feb. 2026