Difference between revisions of "Jaeseok Choi"

From MIPAL
Jump to: navigation, search
(Publications)
(Publications)
 
(2 intermediate revisions by one user not shown)
Line 36: Line 36:
 
== '''Publications''' ==
 
== '''Publications''' ==
  
 
<br>
 
  
 
:<font size = 3>''International Conferences'' </font><br>
 
:<font size = 3>''International Conferences'' </font><br>
Line 45: Line 43:
 
[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>
 
[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)<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)<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>
 
[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. (Poster) ([https://github.com/sky77764/pa-aug.pytorch Code])   
+
[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>
  

Latest revision as of 09:49, 19 August 2021

Jaeseok.jpg Jaeseok Choi (최재석)

서울대학교 융합과학부 석박사통합과정 ( 2017.3 ~ )
성균관대학교 컴퓨터공학과 졸업 ( 2017. 2 )


Tel: +82-31-888-9579
e-mail: jaeseok.choi@snu.ac.kr

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 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


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 ~ )