Difference between revisions of "Inseop Chung"

Revision as of 17:07, 5 March 2024

Inseop Chung (정인섭) 서울대학교 지능정보융학학과 박사 졸업 (2019.03 ~ 2024.02) 연세대학교 창의기술경영/컴퓨터과학 학사 졸업 (2019.02) Tel: +82-31-888-9579 e-mail: jis3613@snu.ac.kr Google Scholar Linkedin

Research Interests

Deep Learning, Computer Vision, Knowledge Distillation, Domain Adaptation

Work Experience

• January 2022 ~ July 2022:

  Research Intern at Qualcomm AI Research, Korea.

• June 2020 ~ December 2020:

  Research Intern at Naver Webtoons Corporation, Korea.

Education

• Mar. 2019 ~ Present:

  M.S./Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Korea.

• Feb. 2019:

  B.S. in Computer Science / Creative Technology Management (Double Major), Yonsei University, Korea.

• Oct. 2016 ~ Aug. 2017:

  Exchange Student at Informatik (Computer Science) Department of Technische Universität München (Technical University of Munich), Germany.

Publications

Preprint

• Inseop Chung, Kyomin Hwang, Jayeon Yoo, Nojun Kwak, "Mitigating the Bias in the Model for Continual Test-Time Adaptation". arXiv, Mar. 2024

International Conferences

• Inseop Chung, KiYoon Yoo, Nojun Kwak, "Open Domain Generalization with a Single Network by Regularization Exploiting Pre-trained Features". ICLR 2024 Workshop on Data-centric Machine Learning Research (DMLR): Harnessing Momentum for Science, May. 2024
• Jayeon Yoo, Dongkwan Lee, Inseop Chung, Donghyun Kim, Nojun Kwak, "What, How, and When Should Object Detectors Update in Continually Changing Test Domains?", The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR 2024), June 2024
• Jaeyoung Yoo*, Hojun Lee*, Seunghyeon Seo, Inseop Chung, Nojun Kwak, "End-to-End Multi-Object Detection with a Regularized Mixture Model", Fortieth International Conference on Machine Learning (ICML 2023), July 2023
• Inseop Chung, Jayeon Yoo, Nojun Kwak, "Exploiting Inter-pixel Correlations in Unsupervised Domain Adaptation for Semantic Segmentation", Workshop on Real-World Surveillance: Applications and Challenges at Winter Conference on Applications of Computer Vision 2023 Best Paper Award (RWS @ WACV2023), Jan. 2023
• Jayeon Yoo, Inseop Chung, Nojun Kwak, "Unsupervised Domain Adaptation for One-Stage Object Detector Using Offsets to the Bounding Box", European Conference on Computer Vision (ECCV 2022), Oct. 2022
• Byeonggeun Kim, Seunghan Yang, Inseop Chung, Simyung Chang, "Dummy Prototypical Networks for Few-Shot Open-Set Keyword Spotting", 23rd INTERSPEECH 2022 Conference, Sep. 2022.
• Seunghan Yang, Byeonggeun Kim, Inseop Chung, Simyung Chang, "Personalized Keyword Spotting through Multi-task Learning", 23rd INTERSPEECH 2022 Conference, Sep. 2022.
• Inseop Chung, Daesik Kim, Nojun Kwak, "Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation", Winter Conference on Applications of Computer Vision 2022 (WACV 2022), Jan. 2022.
• Kyuewang Lee*, Inseop Chung*, Daeho Um, Jaeseok Choi, Yeji Song, Seunghyeon Seo, Nojun Kwak, Jin Young Choi "Multi-modal Object Detection, Tracking, and Action Classification for Unmanned Outdoor Surveillance Robots", The 21st International Conference on Control, Automation and Systems (ICCAS 2021), Oct. 2021, * indicates equal contribution.
• Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak, "Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image", International Conference on Computer Vision 2021 (ICCV 2021), Oct. 2021.
• Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak, "Feature Fusion for Online Mutual Knowledge Distillation", 25th International Conference on Pattern Recognition (ICPR 2020), Jan. 2021.
• Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak, "Feature-map-level Online Adversarial Knowledge Distillation", Thirty-seventh International Conference on Machine Learning (ICML 2020), July 2020.

Domestic Conferences

• Hojun Lee, Inseop Chung, Nojun Kwak, "Multi-modal sensor based framework for object detection", The 16th Korea Robotics Society Annual Conference (KRoC 2021), May. 2021

International Journal

• DongKi Noh, Chang Ki Sung, Taeyoung Uhm, Wooju Lee, Hyungtae Lim, Jaeseok Choi, Kyuewang Lee, Dasol Hong, Daeho Um, Inseop Chung, Hochul Shin, Min-Jung Kim, Hyoung-Rock Kim, Seung-Min Baek, Hyun Myung, "X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments", IEEE Robotics and Automation Letters (RA-L), Jan. 2023

Projects

• Development of multimodal sensor-based intelligent systems for outdoor surveillance robots, 2019.3 ~ 2021.12