Email: clockjow [at] gmail.com; clockjw [at] kaist.ac.kr
Github: https://github.com/Jo-won
[Google Scholar] [CV]
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Won Jo (조 원)
Won Jo (조 원)
Hello, I am a Ph.D. student at the Statistical Artificial Intelligence Lab (SAILab), led by Prof. Jaesik Choi, at KAIST.
My research focuses on discovering causal relationships within temporal sequences. Currently, I am investigating causal flows in model decision-making. Ultimately, I hope to identify cues of causal flows in videos that project real-world events, offering insights into the inevitability of those events.
Education & Career
Ph.D. Korea Advanced Institute of Science and Technology (KAIST), Seoul, Korea (Sep. 2024 - Current)
Dept. of Kim Jaechul Graduate School of AI
Advisor: Jaesik Choi
Statistical Artificial Intelligence Lab [Website]
M.S. Researcher. Korea Advanced Institute of Science and Technology (KAIST), Seoul, Korea (Sep. 2023 - Aug. 2024)
M.S. Researcher. Sejong University, Seoul, Korea (Mar. 2023 - Aug. 2023)
M.S. Sejong University, Seoul, Korea (Mar. 2021 - Feb. 2023)
B.S. Sejong University, Seoul, Korea (Mar. 2017 - Feb. 2021)
Dept. of Intelligent Mechatronics Engineering
Advisior: Yukyung Choi
Graduate with magna cum laude
Publications
SAI Lab at KAIST
2024
Pathwise Explanation of ReLU Neural Networks
Seongwoo Lim, Won Jo, Joohyung Lee, and Jaesik Choi
The 27th International Conference on Artificial Intelligence and Statistics (AISTATS), Jan. 2024 [Paper]
RCV Lab at Sejong Univ.
2023
Enhancing Visual Representation of Untrimmed Videos by Counteracting Visuality-Threatening Content
Gwangjin Lee, Won Jo, Hyunwoo Kim, Yukyung Choi
Pattern Recognition, Aug. 2025 [Paper] (Last work in SejongRCV)
Overcoming Overconfidence for Active Learning
Yujin Hwang*, Won Jo*, Juyoung Hong, and Yukyung Choi
IEEE Access, Aug. 2024 [Paper]
VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression
Simultaneous Video Retrieval and Alignment
Won Jo, Geuntaek Lim, Yujin Hwang, Gwangjin Lee, Joonsoo Kim, Joungil Yun, Jiyoung Jung, and Yukyung Choi
IEEE Access, Mar. 2023 [Paper]
VERD: Emergence of Product-based Video E-commerce Retrieval Dataset from User's Perspective
Gwangjin Lee, Won Jo, and Yukyung Choi
Sensors, Jan. 2023 [Paper]
2022
Multispectral Benchmark Dataset and Baseline for Forklift Collision Avoidance
Hyeongjun Kim*, Taejoo Kim*, Won Jo, Jiwon Kim, Jeongmin Shin, Daechan Han, Yujin Hwang, and Yukyung Choi
Sensors, Oct. 2022. [Paper]
Compression Method for MPEG CDVA Global Feature Descriptors
Joonsoo Kim, Won Jo, Guentaek Lim, Joungil Yun, Sangwoon Kwak, Soon-heung Jung, Won-Sik Cheong, Hyon-Gon Choo, Jeongil Seo, and Yukyung Choi
Journal of Broadcast Engineering, May. 2022. [Paper]
Exploring the Temporal Cues to Enhance Video Retrieval on Standardized CDVA
2021
2020
R2T2: RGB-Thermal-Depth Dataset for Pedestrian Detection
Taejoo Kim*, Jeongmin Shin*, Won Jo*, Daechan Han*, Jiwon Kim, Byungjoo Kim, Hyunho Nam, Yujin Hwang, Namhoon Kim, and Yukyung Choi
32nd Workshop on Image Processing and Image Understanding (IPIU), Feb. 2020. [Paper]
Single-Shot Adaptive Fusion Network for Robust Multispectral Pedestrian Detection
Jiwon Kim*, Won Jo*, Hyunho Nam, Soonmin Hwang, Chiwon Roh, Namil Kim, and Yukyung Choi
32nd Workshop on Image Processing and Image Understanding (IPIU), Feb. 2020. (Best Paper Award) [Paper]
Patents
Method and Apparatus of Extracting Video Feature Descriptors with Distractor Frame Suppression
[KOR] 방해자 프레임 억제를 적용한 비디오 특징 추출 방법 및 그 장치 (10-2023-0177999), 출원 완료, Dec. 2023
Active Learning Method and Apparatus for Deep Learning Model
[KOR] 딥러닝 모델의 능동적 학습 방법 및 그 장치 (10-2753547), 등록 완료, Jan. 2025
Video-Level Descriptors Extraction Method and Apparatus for Content-Based Video Retrieval
[KOR] 동영상 검색을 위한 동영상 특징 서술자 추출 방법 및 그 장치 (10-2022-0152725), 출원 완료, Nov. 2022
Video Feature Extraction Method for Content-Based Video Retrieval
[KOR] 비디오 검색을 위한 영상 특징 추출 방법 (10-2022-0087969), 출원 완료, Jul. 2022
[US] Method and Apparatus of Image/Video Feature Descriptor Extracting for Searching Image/Video (US2024/0020335A1), Jan. 2024 [Doc]
Simultaneous Video Retrieval and Alignment Technique
[KOR] 동시적인 비디오 검색 및 정렬 기법 (10-2021-0173248), 출원 완료, Dec. 2021.
[US] Method and Apparatus for Simultaneous Video Retrieval and Alignment (US2023/0177083A1), Jun. 2023 [Doc]
Single-shot Adaptive Fusion Method and Apparatus for Robust Multi-spectral Object Detection
[KOR] 강인한 객체 검출을 위한 싱글샷 기반 적응적 융합 방법 및 그 장치 (10-2431419), 등록 완료, Aug. 2022
Reviewer
International Conference
The 40th Annual AAAI Conference on Artificial Intelligence (AAAI), 2026
The Conference on Uncertainty in Artificial Intelligence (UAI), 2025
ACM Multimedia (ACM MM), 2024
The Conference on Uncertainty in Artificial Intelligence (UAI), 2024
International Journal
Multimedia Tools and Applications, 2025
Awards and Honors
3rd Prize, NAVER LABS Mapping & Localization Challenge, NAVER LABS, Korea (Aug. 2020)
Best Paper Award, the 32nd Workshop on Image Processing and Image Understanding, Korean Computer Vision Society, Korea (Feb. 2020)
4th Prize, the 4th SW Competition, Sejong University, Korea (Nov. 2017)
Scholarship for academic excellence for 2 semester, Sejong University, Korea (Sep. 2017 ~ Jun. 2018)
Projects
Development of MPEG CDVA-based Video Search Software
Electronics and Telecommunications Research Institute (ETRI), (Apr. 2022 - Dec. 2022)
Dark Data Analysis Technology for Data Scale and Accuracy Improvement
WISEnut, (Apr. 2021 - Dec. 2021)
A Study on a Deep Learning Model that Extracts Video Visual Features for Machine Vision Task
Electronics and Telecommunications Research Institute (ETRI), (Apr. 2021 - Nov. 2021)
A Study on a Deep Learning Model for Extracting Visual Features by Machine Vision Task
Electronics and Telecommunications Research Institute (ETRI), (Apr. 2020 - Nov. 2020)
Visualization of Thermal Image and Development of Perception Sensors based on Deep Learning
Potenit, (Nov. 2018 - Apr. 2020)
A Fault-tolerant Fusion Method for Robust Pedestrian Detection
Ministry of Science and ICT, (Sep. 2018 - Aug. 2020)
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