Difference between revisions of "Jisoo Jeong"

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(Work Experiences)
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<ul>
 
<ul>
:'''DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling''' <br>
+
<li>
:'''Jisoo Jeong''', Hong Cai, Risheek Garrepalli and Fatih Porikli <br>
+
'''DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling''':
 +
:'''Jisoo Jeong''', Hong Cai, Risheek Garrepalli and Fatih Porikli
 
:'''CVPR 2023'''
 
:'''CVPR 2023'''
</ul>
+
</li>
 
+
<li>
<br>
+
'''DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow''':
<ul>
+
:Risheek Garrepalli, '''Jisoo Jeong''', Rajeswaran C Ravindran, Jamie Menjay Lin and Fatih Porikli
:'''DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow''' <br>
+
:'''CVPR 2023 Workshop''' (Mobile AI)
:Risheek Garrepalli, '''Jisoo Jeong''', Rajeswaran C Ravindran, Jamie Menjay Lin and Fatih Porikli <br>
+
</li>
:'''CVPR 2023 Workshop (Mobile AI)'''
+
<li>
</ul>
+
'''Imposing Consistency for Optical Flow Estimation''':
 
+
:'''Jisoo Jeong''', Jamie Menjay Lin, Fatih Porikli and Nojun Kwak
<br>
+
<ul>
+
:'''Imposing Consistency for Optical Flow Estimation''' <br>
+
:'''Jisoo Jeong''', Jamie Menjay Lin, Fatih Porikli and Nojun Kwak <br>
+
 
:'''CVPR 2022'''
 
:'''CVPR 2022'''
</ul>
+
</li>
 
+
<li>
<br>
+
'''MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection''':
<ul>
+
:JongMok Kim, Jooyoung Jang, Seunghyeon Seo, '''Jisoo Jeong''', Jongkeun Na and Nojun Kwak
:'''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'''
 
:'''CVPR 2022'''
</ul>
+
</li>
 
+
<li>
<br>
+
'''Interpolation-based Semi-supervised Learning for Object detection''':
<ul>
+
:'''Jisoo Jeong''', Vikas Verma, Minsung Hyun, Juho Kannala and Nojun Kwak
:'''Interpolation-based Semi-supervised Learning for Object detection''' <br>
+
:'''Jisoo Jeong''', Vikas Verma, Minsung Hyun, Juho Kannala and Nojun Kwak <br>
+
 
:'''CVPR 2021'''
 
:'''CVPR 2021'''
</ul>
+
</li>
 
+
<li>
<br>
+
'''Class-Imbalanced Semi-Supervised Learning''':
<ul>
+
:Minsung Hyun, '''Jisoo Jeong''' and Nojun Kwak
:'''Class-Imbalanced Semi-Supervised Learning''' <br>
+
:Minsung Hyun, '''Jisoo Jeong''' and Nojun Kwak <br>
+
 
:'''ICLR 2021 Workshop''' (RobustML)
 
:'''ICLR 2021 Workshop''' (RobustML)
</ul>
+
</li>
 
+
<li>
<br>
+
'''Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction''':
<ul>
+
:Daesic Kim*, Gyujeong Lee*, '''Jisoo Jeong'''* and Nojun Kwak
:'''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>
+
 
:'''AAAI 2020'''
 
:'''AAAI 2020'''
</ul>
+
</li>
 
+
<li>
<br>
+
'''Self-Training using selection network for Semi-Supervised Learning''':
<ul>
+
:'''Jisoo Jeong'''*, Seungeui Lee* and Nojun Kwak
:'''Self-Training using selection network for Semi-Supervised Learning''' <br>
+
:'''Jisoo Jeong'''*, Seungeui Lee* and Nojun Kwak <br>
+
 
:'''ICPRAM 2020'''
 
:'''ICPRAM 2020'''
</ul>
+
</li>
 
+
<li>
<br>
+
'''Consistency-based Semi-supervised Learning for Object detection''':
<ul>
+
:'''Jisoo Jeong'''*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak
:'''Consistency-based Semi-supervised Learning for Object detection''' <br>
+
:'''Jisoo Jeong'''*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak <br>
+
 
:'''NeurIPS 2019'''
 
:'''NeurIPS 2019'''
</ul>
+
</li>
 
+
<li>
<br>
+
'''Two-Layer Residual Feature Fusion for Object Detection''':
<ul>
+
:Jaeseok Choi, Kyoungmin Lee, '''Jisoo Jeong''' and Nojun Kwak
:'''Two-Layer Residual Feature Fusion for Object Detection''' <br>
+
:Jaeseok Choi, Kyoungmin Lee, '''Jisoo Jeong''' and Nojun Kwak <br>
+
 
:'''ICPRAM 2019'''
 
:'''ICPRAM 2019'''
</ul>
+
</li>
 
+
<li>
<br>
+
'''Enhancement of SSD by concatenating feature maps for object detection''':
<ul>
+
:'''Jisoo Jeong''', Hyojin Park and Nojun Kwak
:'''Superpixel-based semantic segmentation trained by statistical process control''' <br>
+
:Hyojin Park, '''Jisoo Jeong''', Youngjoon Yoo and Nojun Kwak <br>
+
 
:'''BMVC 2017'''
 
:'''BMVC 2017'''
</ul>
+
</li>
 
+
<li>
<br>
+
'''Superpixel-based semantic segmentation trained by statistical process control''':
<ul>
+
:Hyojin Park, '''Jisoo Jeong''', Youngjoon Yoo and Nojun Kwak
:'''Enhancement of SSD by concatenating feature maps for object detection''' <br>
+
:'''Jisoo Jeong''', Hyojin Park and Nojun Kwak <br>
+
 
:'''BMVC 2017'''
 
:'''BMVC 2017'''
</ul>
+
</li>
 
+
<li>
<br>
+
'''Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness''':
<ul>
+
:'''Jisoo Jeong''' and Young-Jin Kim
:'''Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness''' <br>
+
:'''Jisoo Jeong''' and Young-Jin Kim <br>
+
 
:'''Journal of KIISE 2014'''
 
:'''Journal of KIISE 2014'''
 +
</li>
 
</ul>
 
</ul>

Revision as of 08:03, 19 April 2023

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.

Work Experiences

  • Oct. 2021 - Current:
    Senior Engineer, Qualcomm AI Research (San Diego).
  • Jun. 2020 - Sep. 2020:
    Research Intern, Qualcomm AI Research (San Diego (Virtual)).

Publications

  • DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling:
    Jisoo Jeong, Hong Cai, Risheek Garrepalli and Fatih Porikli
    CVPR 2023
  • DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow:
    Risheek Garrepalli, Jisoo Jeong, Rajeswaran C Ravindran, Jamie Menjay Lin and Fatih Porikli
    CVPR 2023 Workshop (Mobile AI)
  • 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
  • Enhancement of SSD by concatenating feature maps for object detection:
    Jisoo Jeong, Hyojin Park and Nojun Kwak
    BMVC 2017
  • Superpixel-based semantic segmentation trained by statistical process control:
    Hyojin Park, Jisoo Jeong, Youngjoon Yoo and Nojun Kwak
    BMVC 2017
  • Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness:
    Jisoo Jeong and Young-Jin Kim
    Journal of KIISE 2014