Difference between revisions of "Jisoo Jeong"

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:'''DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling''' <br>
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'''DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling''':
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:'''Jisoo Jeong''', Hong Cai, Risheek Garrepalli and Fatih Porikli <br>
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:'''Jisoo Jeong''', Hong Cai, Risheek Garrepalli and Fatih Porikli
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:'''CVPR 2023'''
 
:'''CVPR 2023'''
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'''DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow''':
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:Risheek Garrepalli, '''Jisoo Jeong''', Rajeswaran C Ravindran, Jamie Menjay Lin and Fatih Porikli
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:'''CVPR 2023 Workshop''' (Mobile AI)
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:'''DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow''' <br>
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:Risheek Garrepalli, '''Jisoo Jeong''', Rajeswaran C Ravindran, Jamie Menjay Lin and Fatih Porikli <br>
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:'''CVPR 2023 Workshop (Mobile AI)'''
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'''Imposing Consistency for Optical Flow Estimation''':
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:'''Jisoo Jeong''', Jamie Menjay Lin, Fatih Porikli and Nojun Kwak
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:'''Imposing Consistency for Optical Flow Estimation''' <br>
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:'''Jisoo Jeong''', Jamie Menjay Lin, Fatih Porikli and Nojun Kwak <br>
 
:'''CVPR 2022'''
 
:'''CVPR 2022'''
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'''MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection''':
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:JongMok Kim, Jooyoung Jang, Seunghyeon Seo, '''Jisoo Jeong''', Jongkeun Na and Nojun Kwak
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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>
 
:'''CVPR 2022'''
 
:'''CVPR 2022'''
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'''Interpolation-based Semi-supervised Learning for Object detection''':
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:'''Jisoo Jeong''', Vikas Verma, Minsung Hyun, Juho Kannala and Nojun Kwak
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:'''Interpolation-based Semi-supervised Learning for Object detection''' <br>
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:'''Jisoo Jeong''', Vikas Verma, Minsung Hyun, Juho Kannala and Nojun Kwak <br>
 
:'''CVPR 2021'''
 
:'''CVPR 2021'''
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'''Class-Imbalanced Semi-Supervised Learning''':
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:Minsung Hyun, '''Jisoo Jeong''' and Nojun Kwak
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:'''Class-Imbalanced Semi-Supervised Learning''' <br>
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:Minsung Hyun, '''Jisoo Jeong''' and Nojun Kwak <br>
 
:'''ICLR 2021 Workshop''' (RobustML)
 
:'''ICLR 2021 Workshop''' (RobustML)
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'''Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction''':
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:Daesic Kim*, Gyujeong Lee*, '''Jisoo Jeong'''* and Nojun Kwak
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:'''Tell Me What They're Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction''' <br>
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:Daesic Kim*, Gyujeong Lee*, '''Jisoo Jeong'''* and Nojun Kwak <br>
 
:'''AAAI 2020'''
 
:'''AAAI 2020'''
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'''Self-Training using selection network for Semi-Supervised Learning''':
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:'''Jisoo Jeong'''*, Seungeui Lee* and Nojun Kwak
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:'''Self-Training using selection network for Semi-Supervised Learning''' <br>
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:'''Jisoo Jeong'''*, Seungeui Lee* and Nojun Kwak <br>
 
:'''ICPRAM 2020'''
 
:'''ICPRAM 2020'''
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'''Consistency-based Semi-supervised Learning for Object detection''':
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:'''Jisoo Jeong'''*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak
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:'''Consistency-based Semi-supervised Learning for Object detection''' <br>
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:'''Jisoo Jeong'''*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak <br>
 
:'''NeurIPS 2019'''
 
:'''NeurIPS 2019'''
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'''Two-Layer Residual Feature Fusion for Object Detection''':
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:Jaeseok Choi, Kyoungmin Lee, '''Jisoo Jeong''' and Nojun Kwak
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:'''Two-Layer Residual Feature Fusion for Object Detection''' <br>
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:Jaeseok Choi, Kyoungmin Lee, '''Jisoo Jeong''' and Nojun Kwak <br>
 
:'''ICPRAM 2019'''
 
:'''ICPRAM 2019'''
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'''Enhancement of SSD by concatenating feature maps for object detection''':
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<br>
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:'''Jisoo Jeong''', Hyojin Park and Nojun Kwak
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<ul>
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:'''Superpixel-based semantic segmentation trained by statistical process control''' <br>
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:Hyojin Park, '''Jisoo Jeong''', Youngjoon Yoo and Nojun Kwak <br>
 
:'''BMVC 2017'''
 
:'''BMVC 2017'''
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'''Superpixel-based semantic segmentation trained by statistical process control''':
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<br>
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:Hyojin Park, '''Jisoo Jeong''', Youngjoon Yoo and Nojun Kwak
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<ul>
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:'''Enhancement of SSD by concatenating feature maps for object detection''' <br>
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:'''Jisoo Jeong''', Hyojin Park and Nojun Kwak <br>
 
:'''BMVC 2017'''
 
:'''BMVC 2017'''
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'''Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness''':
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<br>
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:'''Jisoo Jeong''' and Young-Jin Kim
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<ul>
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:'''Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness''' <br>
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:'''Jisoo Jeong''' and Young-Jin Kim <br>
 
:'''Journal of KIISE 2014'''
 
:'''Journal of KIISE 2014'''
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Revision as of 08:04, 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


    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


    Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness
    Jisoo Jeong and Young-Jin Kim
    Journal of KIISE 2014
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