Difference between revisions of "Geonseok Seo"
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[2] Jaeyoung Yoo, '''Geonseok Seo''', Nojun Kwak, "[https://arxiv.org/abs/1911.12721 Mixture-Model-based Bounding Box Density Estimation for Object Detection]", arXiv, Nov. 2019. | [2] Jaeyoung Yoo, '''Geonseok Seo''', Nojun Kwak, "[https://arxiv.org/abs/1911.12721 Mixture-Model-based Bounding Box Density Estimation for Object Detection]", arXiv, Nov. 2019. | ||
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[1] Hyojin Park, Youngjoon Yoo, '''Geonseok Seo''', Dongyoon Han, Sangdoo Yun, Nojun Kwak, "[https://arxiv.org/pdf/1812.04920 Concentrated-Comprehensive Convolutions for lightweight semantic segmentation]", arXiv, December 2018. | [1] Hyojin Park, Youngjoon Yoo, '''Geonseok Seo''', Dongyoon Han, Sangdoo Yun, Nojun Kwak, "[https://arxiv.org/pdf/1812.04920 Concentrated-Comprehensive Convolutions for lightweight semantic segmentation]", arXiv, December 2018. | ||
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Revision as of 01:51, 5 December 2019
Geonseok Seo (서건석)
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Education
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March 2018 ~ Current:
- M.S. student in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
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March 2011 ~ Feb. 2017:
- B.S. student in Department of Automotive Engineering, Hanyang University, Korea.
Research Interests
Object Detection, Object Segmentation
Publication
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[2] Jaeyoung Yoo, Geonseok Seo, Nojun Kwak, "Mixture-Model-based Bounding Box Density Estimation for Object Detection", arXiv, Nov. 2019.
[1] Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak, "Concentrated-Comprehensive Convolutions for lightweight semantic segmentation", arXiv, December 2018.
Projects
- 파노라마 영상과 사각지대경보(BSD) 기능을 제공하는 카메라 기반의 측후방 통합안전지원 시스템 개발, 산업통상자원부 (2018. 3 ~ )
- 생체신호와 Machine Learning을 활용한 건강 정보 추정 알고리즘 개발, (주)삼성전자 (2018. 10 ~ 2018. 12)