Difference between revisions of "Hyojin Park"
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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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+ | [1] '''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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Revision as of 16:55, 7 August 2018
Hyojin Park (박효진)
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Education
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Present:
- Ph.D. Student in Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.
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Feb. 2016:
- M.S. in Robotics Program, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
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Aug. 2013:
- B.S. in Industrial Engineering, Ajou University, Suwon, Korea.
Publications
- International Conferences
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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.
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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.
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[1] 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.