Difference between revisions of "Hyojin Park"

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[1] '''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.
 
[1] '''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.
 
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[2] 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.  
 
[2] 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.  
 
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[3] '''Hyojin Park''', Youngjoon Yoo and Nojun Kwak, "MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis", The British MachineVision Conference (BMVC2018), Newcathle, UK, Sep. 2018.  
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[3] '''Hyojin Park''', Youngjoon Yoo and Nojun Kwak, "MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis", The British MachineVision Conference (BMVC2018), Newcastle, UK, Sep. 2018.  
 
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[4] Byeongho Heo, Jeesoo Kim, Sangdoo Yun, '''Hyojin Park''', Nojun Kwak, Jin Young Choi, A Comprehensive Overhaul of Feature Distillation, International Conference on Computer Vision (ICCV2019), Seoul, Korea, Oct. 2019.
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[5] '''Hyojin Park''',  Lars Lowe Sjosund, YoungJoon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak, "SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder", Winter Conference on Applications of Computer Vision (WACV2020), Colorado, USA, Mar. 2020.
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[6] '''Hyojin Park''', Ganesh Venkatesh, Nojun Kwak, "TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss", First International Research Symposium on Tiny Machine Learning (TinyML), Online, Mar. 2021.
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[7] '''Hyojin Park''', Jayeon Yoo, Seohyeon Jeong, Ganesh Venkatesh, Nojun Kwak, "Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation", Conference on Computer Vision and Pattern Recognition (CVPR), Online, June. 2021.
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:<font size = 3>''Tech Report'' </font><br>
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[1] '''Hyojin Park''', Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak,  C3: Concentrated-Comprehensive Convolutions for lightweight semantic segmentation, arXiv Dec. 2018.
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== '''Work Experience''' ==
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2020
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On-Device AI, Facebook Reality Labs (Menlo Park, USA)
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Research Scientist Intern 2020.01 - 2020.04
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Manager: Ganesh Venkatesh
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2019
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Clova AI Research, NAVER Corp. (Seongnam, South Korea)
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Research Assistant 2019.04 - 2019.11
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Manager: Youngjoon Yoo
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2018
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Clova AI Research, NAVER Corp. (Seongnam, South Korea)
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Research Scientist Intern 2018.10 - 2019.03
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Manager: Youngjoon Yoo

Revision as of 03:39, 16 July 2021

Hyojin photo.jpg Hyojin Park (박효진)

서울대학교 융합과학부 박사과정 (2016.03 ~ )
KAIST 공과대학 로봇공학학제전공 석사과정 졸업 (2016.02)
아주대학교 공과대학 산업공학부 학사과정 졸업 (2013.08)


Tel: +82-31-888-9579
e-mail: wolfrun@snu.ac.kr
Google Scholar
Home Page


Education

  • Current:
    Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.
  • Feb. 2016:
    M.S. in Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
  • Aug. 2013:
    B.S. in Industrial Engineering, Ajou University, Suwon, Korea.
  • Aug. 2012 ~ Dec. 2012:
    Exchange Student in Tampere Univeristy of Technology, Tampere, Finland.


Publications

International Conferences
    [1] 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.


    [2] 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.


    [3] Hyojin Park, Youngjoon Yoo and Nojun Kwak, "MC-GAN: Multi-conditional Generative Adversarial Network for Image Synthesis", The British MachineVision Conference (BMVC2018), Newcastle, UK, Sep. 2018.


    [4] Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi, A Comprehensive Overhaul of Feature Distillation, International Conference on Computer Vision (ICCV2019), Seoul, Korea, Oct. 2019.


    [5] Hyojin Park, Lars Lowe Sjosund, YoungJoon Yoo, Nicolas Monet, Jihwan Bang, Nojun Kwak, "SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder", Winter Conference on Applications of Computer Vision (WACV2020), Colorado, USA, Mar. 2020.


    [6] Hyojin Park, Ganesh Venkatesh, Nojun Kwak, "TTVOS: Lightweight Video Object Segmentation with Adaptive Template Attention Module and Temporal Consistency Loss", First International Research Symposium on Tiny Machine Learning (TinyML), Online, Mar. 2021.


    [7] Hyojin Park, Jayeon Yoo, Seohyeon Jeong, Ganesh Venkatesh, Nojun Kwak, "Learning Dynamic Network Using a Reuse Gate Function in Semi-supervised Video Object Segmentation", Conference on Computer Vision and Pattern Recognition (CVPR), Online, June. 2021.


Tech Report
    [1] Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak, C3: Concentrated-Comprehensive Convolutions for lightweight semantic segmentation, arXiv Dec. 2018.


Work Experience

2020 On-Device AI, Facebook Reality Labs (Menlo Park, USA) Research Scientist Intern 2020.01 - 2020.04 Manager: Ganesh Venkatesh

2019 Clova AI Research, NAVER Corp. (Seongnam, South Korea) Research Assistant 2019.04 - 2019.11 Manager: Youngjoon Yoo

2018 Clova AI Research, NAVER Corp. (Seongnam, South Korea) Research Scientist Intern 2018.10 - 2019.03 Manager: Youngjoon Yoo