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 (2015.09 ~ ) <br>
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: 서울대학교 융합과학부 석박사통합과정 (2021.08) <br>
 
: 아주대학교 전자공학과 졸업          (2015.08)
 
: 아주대학교 전자공학과 졸업          (2015.08)
 
<br>
 
<br>
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<ul>
 
<ul>
 
<li>
 
<li>
Present:
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Aug. 2021:
  
:Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
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:Ph.D. in Graduate School of Convergence Science and Technology, Seoul National University, Korea.
 
</li>
 
</li>
 
<li>
 
<li>
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:<font size = 3>'''International Conferences''' </font><br>
 
:<font size = 3>'''International Conferences''' </font><br>
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 +
<br>
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<ul>
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:'''Imposing Consistency for Optical Flow Estimation''' <br>
 +
:'''Jisoo Jeong''', Jamie Menjay Lin, Fatih Porikli and Nojun Kwak <br>
 +
:'''CVPR 2022'''
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</ul>
 +
 +
<br>
 +
<ul>
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:'''MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection''' <br>
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: JongMok Kim, Jooyoung Jang, Seunghyeon Seo, '''Jisoo Jeong''', Jongkeun Na and Nojun Kwak <br>
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:'''CVPR 2022'''
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</ul>
  
 
<br>
 
<br>
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:'''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>
  
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:'''Class-Imbalanced Semi-Supervised Learning''' <br>
 
:'''Class-Imbalanced Semi-Supervised Learning''' <br>
 
:Minsung Hyun, '''Jisoo Jeong''' and Nojun Kwak <br>
 
:Minsung Hyun, '''Jisoo Jeong''' and Nojun Kwak <br>
:ICLR 2021 Workshop (RobustML)
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:'''ICLR 2021 Workshop''' (RobustML)
 
</ul>
 
</ul>
  
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:'''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
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:'''AAAI 2020'''
 
</ul>
 
</ul>
  
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:'''Self-Training using selection network for Semi-Supervised Learning''' <br>
 
:'''Self-Training using selection network for Semi-Supervised Learning''' <br>
 
:'''Jisoo Jeong'''*, Seungeui Lee* and Nojun Kwak <br>
 
:'''Jisoo Jeong'''*, Seungeui Lee* and Nojun Kwak <br>
:ICPRAM 2020
+
:'''ICPRAM 2020'''
 
</ul>
 
</ul>
  
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:'''Consistency-based Semi-supervised Learning for Object detection''' <br>
 
:'''Consistency-based Semi-supervised Learning for Object detection''' <br>
 
:'''Jisoo Jeong'''*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak <br>
 
:'''Jisoo Jeong'''*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak <br>
:NeurIPS 2019
+
:'''NeurIPS 2019'''
 
</ul>
 
</ul>
  
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:'''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>
  
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:'''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
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:'''BMVC 2017'''
 
</ul>
 
</ul>
  
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:'''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>
  

Latest revision as of 13:27, 3 March 2022

Jeongjisoo.JPG Jisoo Jeong (정지수)

서울대학교 융합과학부 석박사통합과정 (2021.08)
아주대학교 전자공학과 졸업 (2015.08)


Tel: +82-31-888-9579
e-mail: soo3553@snu.ac.kr
Homepage
google scholar
github


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