Difference between revisions of "Jaeseok Choi"
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− | [1] '''Jaeseok Choi''', Yeji Song, Nojun Kwak, "[https://arxiv.org/abs/2007.13373 Part-Aware Data Augmentation for 3D Object Detection in Point Cloud]", arXiv, July 2020. | + | [1] '''Jaeseok Choi''', Yeji Song, Nojun Kwak, "[https://arxiv.org/abs/2007.13373 Part-Aware Data Augmentation for 3D Object Detection in Point Cloud]", arXiv, July 2020. ([https://github.com/sky77764/pa-aug.pytorch Code]) |
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Revision as of 09:16, 21 October 2020
Jaeseok Choi (최재석)
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Research interests : Object Detection, Reinforcement Learning, Deep learning.
Education
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Mar. 2017 ~ Present:
- M.S./Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
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Feb. 2017:
- B.S. in Computer Engineering, SungKyunKwan University, Korea.
Publications
- Open Archive (arXiv - Under Review)
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[1] Jaeseok Choi, Yeji Song, Nojun Kwak, "Part-Aware Data Augmentation for 3D Object Detection in Point Cloud", arXiv, July 2020. (Code)
- International Conferences
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[1] Simyung Chang, John Yang, Jaeseok Choi and Nojun Kwak, "Genetic-Gated Networks for Deep Reinforcement Learning", Thirty-second Conference on Neural Information Processing Systems (NeurIPS2018), Montreal, Canada, December 2018. (Poster)
[2] Simyung Chang, YoungJoon Yoo, Jaeseok Choi and Nojun Kwak,"BOOK: Storing Algorithm-Invariant Episodes for Deep Reinforcement Learning", 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Prague, Czech Republic, February 2019. (Oral)
[3] Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong and Nojun Kwak, "Two-Layer Residual Feature Fusion for Object Detection", 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Prague, Czech Republic, February 2019. (Oral)
[4] Geonseok Seo, Jaeyoung Yoo, Jaeseok Choi, Nojun Kwak, "KL-divergence-based Region Proposal Network for Object Detection", IEEE International Conf. on Image Processing (ICIP 2020), Abu Dhabi, UAE, Oct. 2020. (Poster)
- Domestic Conferences
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[1] 서건석, 유재영, 최재석, 곽노준, " 쿨백-라이블러 발산을 이용한 후보영역 추출 네트워크와 객체 검출", 제 29회 신호처리합동학술대회, 2019년 9월 26일.
Projects
- 파노라마 영상과 사각지대경보(BSD) 기능을 제공하는 카메라 기반의 측후방 통합안전지원 시스템 개발, 산업통상자원부 (2017. 3 ~ 2019. 12)
- 딥러닝 기반 객체 인식 기술성능 고도화, (주)삼성전자 (2017. 9 ~ 2018. 9)
- 실외 무인 경비 로봇을 위한 멀티모달 지능형 정보분석 기술 개발, 과기정통부 (2020. 5 ~ )