Difference between revisions of "Jaeseok Choi"
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:Tel: +82-31-888-9579 <br> | :Tel: +82-31-888-9579 <br> | ||
:e-mail: jaeseok.choi@snu.ac.kr <br> | :e-mail: jaeseok.choi@snu.ac.kr <br> | ||
+ | :[https://scholar.google.com/citations?user=ZRPeEn0AAAAJ&hl=ko Google Scholar] <br> | ||
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Mar. 2017 ~ Present: | Mar. 2017 ~ Present: | ||
− | : | + | :M.S./Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Korea. |
</li> | </li> | ||
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== '''Publications''' == | == '''Publications''' == | ||
+ | |||
+ | :<font size = 3>''International Journals'' </font><br> | ||
+ | <ul> | ||
+ | [1] '''Jaeseok Choi''', Yeji Song, Yerim Kim, Jaeyoung Yoo, Nojun Kwak, "[https://ieeexplore.ieee.org/document/9903612 MD3D: Mixture-Density-based 3D Object Detection in Point Clouds]", IEEE Access, vol. 10, pp. 104011-104022, 2022, doi: 10.1109/ACCESS.2022.3210108. ([https://github.com/sky77764/md3d Code])<br> | ||
+ | |||
+ | [2] DongKi Noh, ChangKi Sung, Taeyoung Uhm, Wooju Lee, Hyungtae Lim, '''Jaeseok Choi''', Kyuewang Lee, Dasol Hong, Daeho Um, Inseop Chung, Hochul Shin, Min-Jung Kim, Hyoung-Rock Kim, Seung-Min Baek, Hyun Myung, "[https://ieeexplore.ieee.org/document/10015866 X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments]", IEEE Robotics and Automation Letters (RA-L), vol. 8, no. 2, pp. 1093-1100, Feb. 2023, doi: 10.1109/LRA.2023.3236569. | ||
+ | </ul> | ||
+ | |||
+ | <br> | ||
+ | |||
:<font size = 3>''International Conferences'' </font><br> | :<font size = 3>''International Conferences'' </font><br> | ||
<ul> | <ul> | ||
− | [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) | + | [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)<br> |
− | [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) | + | [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)<br> |
− | [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) | + | [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)<br> |
+ | |||
+ | [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)<br> | ||
+ | |||
+ | [5] '''Jaeseok Choi''', Yeji Song, Nojun Kwak, "[https://arxiv.org/abs/2007.13373 Part-Aware Data Augmentation for 3D Object Detection in Point Cloud]", 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, Czech Republic, Sep. 2021. ([https://github.com/sky77764/pa-aug.pytorch Code]) <br> | ||
+ | |||
+ | [6] Kyuewang Lee*, Inseop Chung*, Daeho Um, '''Jaeseok Choi''', Yeji Song, Seunghyeon Seo, Nojun Kwak, Jinyoung Choi, "Multi-modal Object Detection, Tracking, and Action Classification for Unmanned Outdoor Surveillance Robots", 2021 The 21st International Conference on Control, Automation and Systems (ICCAS 2021), Jeju, Korea, Oct. 2021. | ||
</ul> | </ul> | ||
+ | <br> | ||
:<font size = 3>''Domestic Conferences'' </font><br> | :<font size = 3>''Domestic Conferences'' </font><br> | ||
<ul> | <ul> | ||
− | + | [1] 서건석, 유재영, '''최재석''', 곽노준, "[[Media:KLDetection.pdf | 쿨백-라이블러 발산을 이용한 후보영역 추출 네트워크와 객체 검출]]", 제 29회 신호처리합동학술대회, 2019년 9월 26일. | |
</ul> | </ul> | ||
+ | <br> | ||
== '''Projects''' == | == '''Projects''' == | ||
<ul> | <ul> | ||
− | + | <li> | |
− | + | 파노라마 영상과 사각지대경보(BSD) 기능을 제공하는 카메라 기반의 측후방 통합안전지원 시스템 개발, 산업통상자원부 (2017. 3 ~ 2019. 12) | |
+ | </li> | ||
+ | <li> | ||
+ | 딥러닝 기반 객체 인식 기술성능 고도화, (주)삼성전자 (2017. 9 ~ 2018. 9) | ||
+ | </li> | ||
+ | <li> | ||
+ | 실외 무인 경비 로봇을 위한 멀티모달 지능형 정보분석 기술 개발, 과기정통부 (2020. 5 ~ 2021. 12) | ||
+ | </li> | ||
</ul> | </ul> |
Latest revision as of 15:06, 22 January 2023
Jaeseok Choi (최재석)
|
Research interests : Object Detection, Reinforcement Learning, Deep learning.
Education
-
Mar. 2017 ~ Present:
- M.S./Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
-
Feb. 2017:
- B.S. in Computer Engineering, SungKyunKwan University, Korea.
Publications
- International Journals
-
[1] Jaeseok Choi, Yeji Song, Yerim Kim, Jaeyoung Yoo, Nojun Kwak, "MD3D: Mixture-Density-based 3D Object Detection in Point Clouds", IEEE Access, vol. 10, pp. 104011-104022, 2022, doi: 10.1109/ACCESS.2022.3210108. (Code)
[2] DongKi Noh, ChangKi Sung, Taeyoung Uhm, Wooju Lee, Hyungtae Lim, Jaeseok Choi, Kyuewang Lee, Dasol Hong, Daeho Um, Inseop Chung, Hochul Shin, Min-Jung Kim, Hyoung-Rock Kim, Seung-Min Baek, Hyun Myung, "X-MAS: Extremely Large-Scale Multi-Modal Sensor Dataset for Outdoor Surveillance in Real Environments", IEEE Robotics and Automation Letters (RA-L), vol. 8, no. 2, pp. 1093-1100, Feb. 2023, doi: 10.1109/LRA.2023.3236569.
- International Conferences
-
[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)
[5] Jaeseok Choi, Yeji Song, Nojun Kwak, "Part-Aware Data Augmentation for 3D Object Detection in Point Cloud", 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, Czech Republic, Sep. 2021. (Code)
[6] Kyuewang Lee*, Inseop Chung*, Daeho Um, Jaeseok Choi, Yeji Song, Seunghyeon Seo, Nojun Kwak, Jinyoung Choi, "Multi-modal Object Detection, Tracking, and Action Classification for Unmanned Outdoor Surveillance Robots", 2021 The 21st International Conference on Control, Automation and Systems (ICCAS 2021), Jeju, Korea, Oct. 2021.
- Domestic Conferences
-
[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 ~ 2021. 12)