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>
+
: 서울대학교 융합과학부 석박사통합과정 (2021.08) <br>
 
: 아주대학교 전자공학과 졸업          (2015.08)
 
: 아주대학교 전자공학과 졸업          (2015.08)
 
<br>
 
<br>
 
:Tel: +82-31-888-9579 <br>
 
:Tel: +82-31-888-9579 <br>
 
:e-mail: soo3553@snu.ac.kr <br>
 
:e-mail: soo3553@snu.ac.kr <br>
 +
:[https://sites.google.com/view/soo89/ Homepage]
 +
:[https://scholar.google.com/citations?user=J4zI5_sAAAAJ&hl=ko&oi=ao google scholar]
 +
:[https://github.com/soo89 github]
 
|-
 
|-
 
|}
 
|}
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== '''Education''' ==
 
== '''Education''' ==
* B.S. student of School of Electrical and Computer Engineering, Ajou University, 2015
+
<ul>
 +
<li>
 +
Ph.D. in Graduate School of Convergence Science and Technology, Seoul National University, Korea:
 +
:Aug. 2021
 +
</li>
 +
<li>
 +
B.S. in Electrical and Computer Engineering, Ajou University, Korea:
 +
:Aug. 2015
 +
</li>
 +
</ul>
  
 +
== '''Work Experiences''' ==
 +
<ul>
 +
<li>
 +
Senior Engineer, Qualcomm AI Research (San Diego):
 +
:Oct. 2021 - Current
 +
</li>
 +
<li>
 +
Research Intern, Qualcomm AI Research (San Diego (Virtual)):
 +
:Jun. 2020 - Sep. 2020
 +
</li>
 +
</ul>
  
== '''Publications''' ==
+
== '''Selected Publications''' ==
  
 +
<ul>
 +
:'''OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation''' <br>
 +
:'''Jisoo Jeong''', Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat and Fatih Porikli <br>
 +
:'''CVPR 2024'''
 +
</ul>
  
:<font size = 3>''International Conferences'' </font><br>
+
<br>
 +
<ul>
 +
:'''DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling''' <br>
 +
:'''Jisoo Jeong''', Hong Cai, Risheek Garrepalli and Fatih Porikli <br>
 +
:'''CVPR 2023'''
 +
</ul>
  
[1] Jisoo Jeong, Hyojin Park and Nojun Kwak, "Enhancement of SSD by concatenating feature maps for object detection", The British Machine Vision Conference (BMVC2017), London, UK, Sep. 2017.
+
<br>
 +
<ul>
 +
:'''Imposing Consistency for Optical Flow Estimation''' <br>
 +
:'''Jisoo Jeong''', Jamie Menjay Lin, Fatih Porikli and Nojun Kwak <br>
 +
:'''CVPR 2022'''
 +
</ul>
  
[2] Hyojin Park, Jisoo Jeong, Youngjoon Yoo and Nojun Kwak, "Superpixel-based semantic segmentation trained by statistical process control", The British Machine Vision Conference (BMVC2017), London, UK, Sep. 2017.
+
<br>
 +
<ul>
 +
:'''Interpolation-based Semi-supervised Learning for Object detection''' <br>
 +
:'''Jisoo Jeong''', Vikas Verma, Minsung Hyun, Juho Kannala and Nojun Kwak <br>
 +
:'''CVPR 2021'''
 +
</ul>
  
[3] Kyoungmin Lee, Jaeseok Choi, Jisoo Jeong and Nojun Kwak, "Residual Features and Unified Prediction Network for Single Stage Detection", arXiv, July 2017.
+
<br>
 +
<ul>
 +
:'''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'''
 +
</ul>
  
 +
<br>
 +
<ul>
 +
:'''Consistency-based Semi-supervised Learning for Object detection''' <br>
 +
:'''Jisoo Jeong'''*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak <br>
 +
:'''NeurIPS 2019'''
 +
</ul>
  
 +
<br>
 +
<ul>
 +
:'''Enhancement of SSD by concatenating feature maps for object detection''' <br>
 +
:'''Jisoo Jeong''', Hyojin Park and Nojun Kwak <br>
 +
:'''BMVC 2017'''
 +
</ul>
  
:<font size = 3>''Domestic Journals'' </font><br>
+
== '''Reviewer''' ==
 +
<ul>
 +
<li>
 +
IEEE TPAMI, IEEE Transactions on Multimedia
 +
</li>
 +
<li>
 +
CVPR, ICCV, ECCV, NeurIPS, AAAI
 +
</li>
 +
</ul>
  
[1] 정지수, 김영진, "이미지 평가를 위한 픽셀 변화량과 포와 인지의 구조적 유사도 기법", 정보과학회논문지, 41권, 10호, pp.847 - 858, 2014.10
+
== '''Computer Skills''' ==
 +
<ul>
 +
<li>
 +
Python, Pytorch, TensorFlow, C/C++, Caffe, Matlab
 +
</li>
 +
</ul>
  
 +
== '''Publications''' ==
  
 
+
<ol>
:<font size = 3>''Domestic Conferences'' </font><br>
+
<li>
 
+
'''Jisoo Jeong''', Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat and Fatih Porikli, "OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2024 (CVPR 2024), June. 2024.
[1] 정지수, 박효진, 황지혜, 박규태, 곽노준, " 객체 사이의 관계를 고려한 객체검출 알고리즘", 제 30회 영상처리 및 이해에 관한 워크샵, 제주시 메종 글래드 제주 호텔, 2018년 2월 8일.
+
</li>
 +
<li>
 +
'''Jisoo Jeong''', Hong Cai, Risheek Garrepalli and Fatih Porikli, "DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2023 (CVPR 2023), June. 2023.
 +
</li>
 +
<li>
 +
Risheek Garrepalli, '''Jisoo Jeong''', Rajeswaran C Ravindran, Jamie Lin and Fatih Porikli
 +
, "DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow", CVPR 2023 Workshop, June. 2023.
 +
</li>
 +
<li>
 +
Rajeev Yasarla, Hong Cai, '''Jisoo Jeong''', Yunxiao Shi, Risheek Garrepalli, Fatih Porikli, "MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation", International Conference on Computer Vision (ICCV 2023), Oct. 2023.
 +
</li>
 +
<li>
 +
'''Jisoo Jeong''', Jamie Menjay Lin, Fatih Porikli, Nojun Kwak, "Imposing Consistency for Optical Flow Estimation", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2022 (CVPR 2022), June. 2022.
 +
</li>
 +
<li>
 +
JongMok Kim, Jooyoung Jang, Seunghyeon Seo, '''Jisoo Jeong''', Jongkeun Na, Nojun Kwak, "MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2022 (CVPR 2022), June. 2022.
 +
</li>
 +
<li>
 +
'''Jisoo Jeong''', Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak, "Interpolation-based semi-supervised learning for object detection", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2021 (CVPR 2021), June. 2021.
 +
</li>
 +
<li>
 +
Minsung Hyun, '''Jisoo Jeong''', Nojun Kwak, "Class-Imbalanced Semi-Supervised Learning", RobustML Workshop (ICLRW 2021), May. 2021.
 +
</li>
 +
<li>
 +
Daesik Kim*, Gyujeong Lee*, '''Jisoo Jeong'''*, Nojun Kwak, "Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction", Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), Feb. 2020
 +
</li>
 +
<li>
 +
'''Jisoo Jeong'''*, Seungeui Lee* and Nojun Kwak, "Self-Training using selection network for Semi-Supervised Learning", 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM2020), Feb. 2020.
 +
</li>
 +
<li>
 +
'''Jisoo Jeong'''*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak, "Consistency-based Semi-supervised Learning for Object detection", Thirty-third Conference on Neural Information Processing Systems (NeurIPS2019), Dec. 2019.
 +
</li>
 +
<li>
 +
Jaeseok Choi, Kyoungmin Lee, '''Jisoo Jeong''' and Nojun Kwak, "Two-Layer Residual Feature Fusion for Object Detection", 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Feb. 2019.
 +
</li>
 +
<li>
 +
'''Jisoo Jeong''', Hyojin Park and Nojun Kwak, "Enhancement of SSD by concatenating feature maps for object detection", The British Machine Vision Conference (BMVC2017), Sep. 2017.
 +
</li>
 +
<li>
 +
Hyojin Park, '''Jisoo Jeong''', Youngjoon Yoo and Nojun Kwak, "Superpixel-based semantic segmentation trained by statistical process control", The British Machine Vision Conference (BMVC2017), Sep. 2017.
 +
</li>
 +
<li>
 +
'''Jisoo Jeong''', Young-Jin Kim, "Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness", Journal of KIISE. 2014.
 +
</li>
 +
</ol>

Latest revision as of 09:33, 27 February 2024

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

  • Ph.D. in Graduate School of Convergence Science and Technology, Seoul National University, Korea:
    Aug. 2021
  • B.S. in Electrical and Computer Engineering, Ajou University, Korea:
    Aug. 2015

Work Experiences

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

Selected Publications

    OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation
    Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat and Fatih Porikli
    CVPR 2024


    DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
    Jisoo Jeong, Hong Cai, Risheek Garrepalli and Fatih Porikli
    CVPR 2023


    Imposing Consistency for Optical Flow Estimation
    Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli 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


    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


    Consistency-based Semi-supervised Learning for Object detection
    Jisoo Jeong*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak
    NeurIPS 2019


    Enhancement of SSD by concatenating feature maps for object detection
    Jisoo Jeong, Hyojin Park and Nojun Kwak
    BMVC 2017

Reviewer

  • IEEE TPAMI, IEEE Transactions on Multimedia
  • CVPR, ICCV, ECCV, NeurIPS, AAAI

Computer Skills

  • Python, Pytorch, TensorFlow, C/C++, Caffe, Matlab

Publications

  1. Jisoo Jeong, Hong Cai, Risheek Garrepalli, Jamie Menjay Lin, Munawar Hayat and Fatih Porikli, "OCAI: Improving Optical Flow Estimation by Occlusion and Consistency Aware Interpolation", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2024 (CVPR 2024), June. 2024.
  2. Jisoo Jeong, Hong Cai, Risheek Garrepalli and Fatih Porikli, "DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2023 (CVPR 2023), June. 2023.
  3. Risheek Garrepalli, Jisoo Jeong, Rajeswaran C Ravindran, Jamie Lin and Fatih Porikli , "DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow", CVPR 2023 Workshop, June. 2023.
  4. Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli, "MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation", International Conference on Computer Vision (ICCV 2023), Oct. 2023.
  5. Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak, "Imposing Consistency for Optical Flow Estimation", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2022 (CVPR 2022), June. 2022.
  6. JongMok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak, "MUM : Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2022 (CVPR 2022), June. 2022.
  7. Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak, "Interpolation-based semi-supervised learning for object detection", IEEE/CVF Conf. on Computer Vision and Pattern Recognition 2021 (CVPR 2021), June. 2021.
  8. Minsung Hyun, Jisoo Jeong, Nojun Kwak, "Class-Imbalanced Semi-Supervised Learning", RobustML Workshop (ICLRW 2021), May. 2021.
  9. Daesik Kim*, Gyujeong Lee*, Jisoo Jeong*, Nojun Kwak, "Tell Me What They’re Holding: Weakly-Supervised Object Detection with Transferable Knowledge from Human-object Interaction", Thirty-Fourth AAAI Conf. on Artificial Intelligence (AAAI2020), Feb. 2020
  10. Jisoo Jeong*, Seungeui Lee* and Nojun Kwak, "Self-Training using selection network for Semi-Supervised Learning", 9th International Conference on Pattern Recognition Applications and Methods (ICPRAM2020), Feb. 2020.
  11. Jisoo Jeong*, Seungeui Lee*, Jeesoo Kim and Nojun Kwak, "Consistency-based Semi-supervised Learning for Object detection", Thirty-third Conference on Neural Information Processing Systems (NeurIPS2019), Dec. 2019.
  12. Jaeseok Choi, Kyoungmin Lee, Jisoo Jeong and Nojun Kwak, "Two-Layer Residual Feature Fusion for Object Detection", 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM2019), Feb. 2019.
  13. Jisoo Jeong, Hyojin Park and Nojun Kwak, "Enhancement of SSD by concatenating feature maps for object detection", The British Machine Vision Conference (BMVC2017), Sep. 2017.
  14. Hyojin Park, Jisoo Jeong, Youngjoon Yoo and Nojun Kwak, "Superpixel-based semantic segmentation trained by statistical process control", The British Machine Vision Conference (BMVC2017), Sep. 2017.
  15. Jisoo Jeong, Young-Jin Kim, "Structural Similarity Index for Image Assessment Using Pixel Difference and Saturation Awareness", Journal of KIISE. 2014.