Difference between revisions of "Inseop Chung"
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Revision as of 18:29, 9 March 2021
Inseop Chung (정인섭)
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Research Interests
Deep Learning, Computer Vision, Knowledge Distillation, Domain Adaptation
Work Experience
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June 2020 ~ December 2020:
- 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
- Inseop Chung, Daesik Kim, Nojun Kwak, "Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation", arXiv, Feb. 2021.
- Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak, "Density-based Object Detection: Learning Bounding Boxes without Ground Truth Assignment", arXiv, Oct. 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)
Industry Project
- Development of multimodal sensor-based intelligent systems for outdoor surveillance robots, 2019.3 ~ present