Difference between revisions of "Inseop Chung"
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− | Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak, "[https://arxiv.org/abs/1911.12721 Density-based Object Detection: Learning Bounding Boxes without Ground Truth Assignment]", arXiv, Mar. 2020. | + | Jaeyoung Yoo, Hojun Lee, '''Inseop Chung''', Geonseok Seo, Nojun Kwak, "[https://arxiv.org/abs/1911.12721 Density-based Object Detection: Learning Bounding Boxes without Ground Truth Assignment]", arXiv, Mar. 2020. |
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Revision as of 10:51, 19 November 2020
Inseop Chung (정인섭)
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Research Interests
Deep Learning, Computer Vision, Knowledge Distillation
Work Experience
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June. 2020 ~ Present:
- Research Intern at Naver Webtoons Corporation, Korea.
Education
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Mar. 2019 ~ Present:
- M.S./Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
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Feb. 2019:
- B.S. in Computer Science / Creative Technology Management (Double Major), Yonsei University, Korea.
Publications
- Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak, "Density-based Object Detection: Learning Bounding Boxes without Ground Truth Assignment", arXiv, Mar. 2020.
- Inseop Chung, SeongUk Park, Jangho Kim, Nojun Kwak, "Feature-map-level Online Adversarial Knowledge Distillation", Thirty-seventh International Conference on Machine Learning (ICML2020), July 2020, Online, (accepted, arXiv version)
- Jangho Kim, Minsung Hyun, Inseop Chung, Nojun Kwak, "Feature Fusion for Online Mutual Knowledge Distillation", 25th International Conference on Pattern Recognition (ICPR2020), Jan. 2021, Milan, Italy (accepted, arXiv version)
Project
- Development of multimodal sensor-based intelligent systems for outdoor surveillance robots, 2019.3 ~ present