Difference between revisions of "Jisoo Jeong"
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| style="width: 200px;" |[[file:jeongjisoo.JPG | 200px]] | | style="width: 200px;" |[[file:jeongjisoo.JPG | 200px]] | ||
| <font size = 5> '''[[Jisoo Jeong]] (정지수)'''</font><br><br> | | <font size = 5> '''[[Jisoo Jeong]] (정지수)'''</font><br><br> | ||
| − | : 서울대학교 융합과학부 석박사통합과정 ( | + | : 서울대학교 융합과학부 석박사통합과정 (2021.08) <br> |
: 아주대학교 전자공학과 졸업 (2015.08) | : 아주대학교 전자공학과 졸업 (2015.08) | ||
<br> | <br> | ||
| Line 19: | Line 19: | ||
<ul> | <ul> | ||
<li> | <li> | ||
| − | + | Aug. 2021: | |
| − | :Ph.D. | + | :Ph.D. in Graduate School of Convergence Science and Technology, Seoul National University, Korea. |
</li> | </li> | ||
<li> | <li> | ||
| Line 34: | Line 34: | ||
:<font size = 3>'''International Conferences''' </font><br> | :<font size = 3>'''International Conferences''' </font><br> | ||
| − | + | <br> | |
| + | <ul> | ||
| + | :'''Imposing Consistency for Optical Flow Estimation''' <br> | ||
| + | :'''Jisoo Jeong''', Jamie Menjay Lin, Fatih Porikli and Nojun Kwak <br> | ||
| + | :'''CVPR 2022''' | ||
| + | </ul> | ||
| + | <br> | ||
| + | <ul> | ||
| + | :'''MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection''' <br> | ||
| + | : JongMok Kim, Jooyoung Jang, Seunghyeon Seo, '''Jisoo Jeong''', Jongkeun Na and Nojun Kwak <br> | ||
| + | :'''CVPR 2022''' | ||
| + | </ul> | ||
<br> | <br> | ||
| Line 41: | Line 52: | ||
:'''Interpolation-based Semi-supervised Learning for Object detection''' <br> | :'''Interpolation-based Semi-supervised Learning for Object detection''' <br> | ||
:'''Jisoo Jeong''', Vikas Verma, Minsung Hyun, Juho Kannala and Nojun Kwak <br> | :'''Jisoo Jeong''', Vikas Verma, Minsung Hyun, Juho Kannala and Nojun Kwak <br> | ||
| − | :CVPR 2021 | + | :'''CVPR 2021''' |
</ul> | </ul> | ||
<br> | <br> | ||
<ul> | <ul> | ||
| − | :''' | + | :'''Class-Imbalanced Semi-Supervised Learning''' <br> |
| − | :'''Jisoo Jeong''' | + | :Minsung Hyun, '''Jisoo Jeong''' and Nojun Kwak <br> |
| − | : | + | :'''ICLR 2021 Workshop''' (RobustML) |
</ul> | </ul> | ||
| Line 55: | Line 66: | ||
:'''Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction''' <br> | :'''Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction''' <br> | ||
:Daesic Kim*, Gyujeong Lee*, '''Jisoo Jeong'''* and Nojun Kwak <br> | :Daesic Kim*, Gyujeong Lee*, '''Jisoo Jeong'''* and Nojun Kwak <br> | ||
| − | :AAAI 2020 | + | :'''AAAI 2020''' |
</ul> | </ul> | ||
<br> | <br> | ||
<ul> | <ul> | ||
| − | :''' | + | :'''Self-Training using selection network for Semi-Supervised Learning''' <br> |
| − | : | + | :'''Jisoo Jeong'''*, Seungeui Lee* and Nojun Kwak <br> |
| − | : | + | :'''ICPRAM 2020''' |
</ul> | </ul> | ||
<br> | <br> | ||
<ul> | <ul> | ||
| − | :''' | + | :'''Consistency-based Semi-supervised Learning for Object detection''' <br> |
| − | :'''Jisoo Jeong'''*, Seungeui Lee* and Nojun Kwak <br> | + | :'''Jisoo Jeong'''*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak <br> |
| − | : | + | :'''NeurIPS 2019''' |
</ul> | </ul> | ||
| Line 76: | Line 87: | ||
:'''Two-Layer Residual Feature Fusion for Object Detection''' <br> | :'''Two-Layer Residual Feature Fusion for Object Detection''' <br> | ||
:Jaeseok Choi, Kyoungmin Lee, '''Jisoo Jeong''' and Nojun Kwak <br> | :Jaeseok Choi, Kyoungmin Lee, '''Jisoo Jeong''' and Nojun Kwak <br> | ||
| − | :ICPRAM 2019 | + | :'''ICPRAM 2019''' |
</ul> | </ul> | ||
| Line 83: | Line 94: | ||
:'''Superpixel-based semantic segmentation trained by statistical process control''' <br> | :'''Superpixel-based semantic segmentation trained by statistical process control''' <br> | ||
:Hyojin Park, '''Jisoo Jeong''', Youngjoon Yoo and Nojun Kwak <br> | :Hyojin Park, '''Jisoo Jeong''', Youngjoon Yoo and Nojun Kwak <br> | ||
| − | :BMVC 2017 | + | :'''BMVC 2017''' |
</ul> | </ul> | ||
| Line 90: | Line 101: | ||
:'''Enhancement of SSD by concatenating feature maps for object detection''' <br> | :'''Enhancement of SSD by concatenating feature maps for object detection''' <br> | ||
:'''Jisoo Jeong''', Hyojin Park and Nojun Kwak <br> | :'''Jisoo Jeong''', Hyojin Park and Nojun Kwak <br> | ||
| − | :BMVC 2017 | + | :'''BMVC 2017''' |
</ul> | </ul> | ||
| + | |||
| + | |||
| + | |||
Revision as of 13:27, 3 March 2022
|
Jisoo Jeong (정지수)
|
Education
-
Aug. 2021:
- Ph.D. in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
-
Aug. 2015:
- B.S. in Electrical and Computer Engineering, Ajou University, Korea.
Publications
- International Conferences
- Imposing Consistency for Optical Flow Estimation
- Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli and Nojun Kwak
- CVPR 2022
- MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection
- JongMok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na and Nojun Kwak
- CVPR 2022
- Interpolation-based Semi-supervised Learning for Object detection
- Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala and Nojun Kwak
- CVPR 2021
- Class-Imbalanced Semi-Supervised Learning
- Minsung Hyun, Jisoo Jeong and Nojun Kwak
- ICLR 2021 Workshop (RobustML)
- Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction
- Daesic Kim*, Gyujeong Lee*, Jisoo Jeong* and Nojun Kwak
- AAAI 2020
- Self-Training using selection network for Semi-Supervised Learning
- Jisoo Jeong*, Seungeui Lee* and Nojun Kwak
- ICPRAM 2020
- Consistency-based Semi-supervised Learning for Object detection
- Jisoo Jeong*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak
- NeurIPS 2019
- Two-Layer Residual Feature Fusion for Object Detection
- Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong and Nojun Kwak
- ICPRAM 2019
- Superpixel-based semantic segmentation trained by statistical process control
- Hyojin Park, Jisoo Jeong, Youngjoon Yoo and Nojun Kwak
- BMVC 2017
- Enhancement of SSD by concatenating feature maps for object detection
- Jisoo Jeong, Hyojin Park and Nojun Kwak
- BMVC 2017
- Domestic Journals
- 이미지 평가를 위한 픽셀 변화량과 포와 인지의 구조적 유사도 기법
- 정지수, 김영진
- 정보과학회논문지, 41권, 10호, pp.847 - 858, 2014.10
- Domestic Conferences
- 객체 사이의 관계를 고려한 객체검출 알고리즘
- 정지수, 박효진, 황지혜, 박규태, 곽노준
- IPIU 2018
