KUO MENG-YU JENNIFER

Faculty Division of Human Life and Environmental Sciences Research Group of Information and Communication Technology for LifeAssistant Professor
Last Updated :2025/04/27

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Profile Information

  • Name (Japanese)

    KUO
  • Name (Kana)

    MENG-YU JENNIFER

Degree

  • PhD (Informatics), Kyoto University, Sep. 2021

Research Interests

  • Computer Vision

Research Areas

  • Informatics, Intelligent informatics, Computer Vision

Research History

  • 2024 - Present, Nara Women's University, Faculty Division of Human Life and Environmental Sciences, 助教, Japan
  • 2022 - 2023, University of Minnesota, Department of Computer Science and Engineering, Postdoctoral Associate, United States

Education

  • Apr. 2017 - Sep. 2021, Kyoto University, Graduate School of Informatics, Department of Intelligence Science and Technology, Japan
  • Apr. 2015 - Mar. 2017, Kyoto University, Graduate School of Informatics, Department of Intelligence Science and Technology, Japan

■Ⅱ.研究活動実績

Published Papers

  • Proceedings of the 19th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, SCITEPRESS - Science and Technology Publications, Learning 3D Human UV with Loose Clothing from Monocular Video, Meng-Yu Kuo; Jingfan Guo; Ryo Kawahara, 2024, 122, 129, International conference proceedings, 10.5220/0012414500003660
  • 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction, Ryo Kawahara; Meng-Yu Jennifer Kuo; Shohei Nobuhara, Jun. 2023, 20813, 20822, International conference proceedings, 10.1109/cvpr52729.2023.01994
  • Lecture Notes in Computer Science, Springer Nature Switzerland, Polarimetric Underwater Stereo, Ryo Kawahara; Meng-Yu Jennifer Kuo; Takahiro Okabe, 27 Apr. 2023, 534, 550, In book, 10.1007/978-3-031-31438-4_35
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers (IEEE), Surface Normals and Shape From Water, Meng-Yu Jennifer Kuo; Satoshi Murai; Ryo Kawahara; Shohei Nobuhara; Ko Nishino, 01 Dec. 2022, 44, 12, 9150, 9162, Scientific journal, 10.1109/tpami.2021.3121963
  • IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers (IEEE), Non-Rigid Shape From Water, Meng-Yu Jennifer Kuo; Ryo Kawahara; Shohei Nobuhara; Ko Nishino, 01 Jul. 2021, 43, 7, 2220, 2232, Scientific journal, 10.1109/tpami.2021.3075450
  • 2020 IEEE Winter Conference on Applications of Computer Vision (WACV), IEEE, Appearance and Shape from Water Reflection, Ryo Kawahara; Meng-Yu Jennifer Kuo; Shohei Nobuhara; Ko Nishino, Mar. 2020, 128, 136, International conference proceedings, 10.1109/wacv45572.2020.9093268
  • Refereed, in Proc. of IEEE International Conference on Computer Vision (ICCV), IEEE, Surface Normals and Shape From Water., Satoshi Murai; Meng-Yu Kuo; Ryo Kawahara; Shohei Nobuhara; Ko Nishino, 2019, 7829, 7837, International conference proceedings, 10.1109/ICCV.2019.00792

Awards

  • IPSJ Yamashita SIG Research Award, Information Processing Society of Japan, 2023
  • May 2022