Revision as of 09:16, 21 October 2020 by Admin
| Jaeseok Choi (최재석)|
Research interests : Object Detection, Reinforcement Learning, Deep learning.
Mar. 2017 ~ Present:
- M.S./Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
- B.S. in Computer Engineering, SungKyunKwan University, Korea.
- Open Archive (arXiv - Under Review)
 Jaeseok Choi, Yeji Song, Nojun Kwak, "Part-Aware Data Augmentation for 3D Object Detection in Point Cloud", arXiv, July 2020. (Code)
- International Conferences
 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)
 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)
 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)
 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
 서건석, 유재영, 최재석, 곽노준, " 쿨백-라이블러 발산을 이용한 후보영역 추출 네트워크와 객체 검출", 제 29회 신호처리합동학술대회, 2019년 9월 26일.
- 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 ~ )