Difference between revisions of "Jee-soo Kim"
From MIPAL
(→Publication) |
(→Publication) |
||
Line 29: | Line 29: | ||
== '''Publication''' == | == '''Publication''' == | ||
− | * Jeesoo Kim, Jangho Kim and Nojun Kwak, "[https://arxiv.org/abs/1809.02441 StackNet: Stacking Parameters for Continual learning]", CVPR2020 workshop | + | * '''Jeesoo Kim''', Jangho Kim and Nojun Kwak, "[https://arxiv.org/abs/1809.02441 StackNet: Stacking Parameters for Continual learning]", '''CVPR2020 workshop''' |
− | * Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak, "Consistency-based Semi-supervised Learning for Object detection", NeurIPS2019 | + | * Jisoo Jeong, Seungeui Lee, '''Jeesoo Kim''', Nojun Kwak, "Consistency-based Semi-supervised Learning for Object detection", '''NeurIPS2019''' |
− | * Byeongho Heo, Jeesoo Kim, Sangdoo Yoon, Hyojin Park, Nojun Kwak, Jin Young Choi, "[https://arxiv.org/abs/1904.01866 A Comprehensive Overhaul of Feature Distillation]", ICCV2019 | + | * Byeongho Heo, '''Jeesoo Kim''', Sangdoo Yoon, Hyojin Park, Nojun Kwak, Jin Young Choi, "[https://arxiv.org/abs/1904.01866 A Comprehensive Overhaul of Feature Distillation]", '''ICCV2019''' |
− | * Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee and Nojun Kwak, "[https://arxiv.org/abs/1711.09528 Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams]", CVPR2018 | + | * Daesik Kim, Youngjoon Yoo, '''Jeesoo Kim''', Sangkuk Lee and Nojun Kwak, "[https://arxiv.org/abs/1711.09528 Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams]", '''CVPR2018''' |
− | * Jeesoo Kim, Jaeyoung Yoo, Jangho Kim, Nojun Kwak, "[https://arxiv.org/abs/1807.02925 Vehicle Image Generation Going Well with The Surroundings]", arXiv, July 2018. | + | * '''Jeesoo Kim''', Jaeyoung Yoo, Jangho Kim, Nojun Kwak, "[https://arxiv.org/abs/1807.02925 Vehicle Image Generation Going Well with The Surroundings]", arXiv, July 2018. |
* 김지수, 곽노준, "이동정보를 배제한 위치추정 알고리즘", 제어로봇시스템학회논문지, 22권, 11호, pp.883 - 887, 2016.11 | * 김지수, 곽노준, "이동정보를 배제한 위치추정 알고리즘", 제어로봇시스템학회논문지, 22권, 11호, pp.883 - 887, 2016.11 |
Revision as of 13:05, 29 June 2021
Jee-soo Kim (김지수)
|
Research Interests
- Machine Learning, Continual learning, Generative models
Education
- B.S. Biomedical Engineering, Korea University, 2015
Employment
- Intern at Qualcomm Research Korea. 2019.9 ~
- Intern at Clova AI research team, Naver. 2019.1 ~ 2019.7
- Intern at mechatronics and robotics laboratory, Advanced Institutes of Convergence Technology, SNU. 2014.12 ~ 2015.3
Publication
- Jeesoo Kim, Jangho Kim and Nojun Kwak, "StackNet: Stacking Parameters for Continual learning", CVPR2020 workshop
- Jisoo Jeong, Seungeui Lee, Jeesoo Kim, Nojun Kwak, "Consistency-based Semi-supervised Learning for Object detection", NeurIPS2019
- Byeongho Heo, Jeesoo Kim, Sangdoo Yoon, Hyojin Park, Nojun Kwak, Jin Young Choi, "A Comprehensive Overhaul of Feature Distillation", ICCV2019
- Daesik Kim, Youngjoon Yoo, Jeesoo Kim, Sangkuk Lee and Nojun Kwak, "Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams", CVPR2018
- Jeesoo Kim, Jaeyoung Yoo, Jangho Kim, Nojun Kwak, "Vehicle Image Generation Going Well with The Surroundings", arXiv, July 2018.
- 김지수, 곽노준, "이동정보를 배제한 위치추정 알고리즘", 제어로봇시스템학회논문지, 22권, 11호, pp.883 - 887, 2016.11
Project
- Multi-Lane detection for autonomous car, Hyundai Motors group 2016.3 ~ 2016.12
- Intelligent system for outdoor security robot, Ministry of Science and ICT 2017.9 ~