Ryoma Yataka

Ryoma Yataka
  • Email: yataka[at]merl[dot]com
  • Biography

    Ryoma Yataka received M.Eng. in Information Engineering from University of Tsukuba in 2017. Since 2017, he has worked for the Information Technology Research & Development center (ITC), Mitsubishi Electric Corporation, Kamakura, Kanagawa, Japan. He is currently a visiting Researcher with the MERL and is also currently pursuing a Ph.D. degree with the Department of Computer Science, University of Tsukuba, Japan. His current research interests include machine learning, geometric deep learning, computer vision, signal processing, and their applications to sensing.

  • Other Publications

    •  Ryoma Yataka, Kazuki Hirashima and Masashi Shiraishi, "Grassmann Manifold Flows for Stable Shape Generation", Advances in Neural Information Processing Systems, 2023.
      BibTeX
      • @Inproceedings{Yataka2023_GrCNF,
      • author = {Yataka, Ryoma and Hirashima, Kazuki and Shiraishi, Masashi},
      • title = {Grassmann Manifold Flows for Stable Shape Generation},
      • booktitle = {Advances in Neural Information Processing Systems},
      • year = 2023
      • }
    •  Tetsutaro YAMADA, Masato GOCHO, Kei AKAMA, Ryoma YATAKA and Hiroshi KAMEDA, "Multiple Hypothesis Tracking with Merged Bounding Box Measurements Considering Occlusion", IEICE Transactions on Information and Systems, Vol. E105.D, No. 8, pp. 1456-1463, 2022.
      BibTeX
      • @Article{Yataka2022_OCTET,
      • author = {YAMADA, Tetsutaro and GOCHO, Masato and AKAMA, Kei and YATAKA, Ryoma and KAMEDA, Hiroshi},
      • title = {Multiple Hypothesis Tracking with Merged Bounding Box Measurements Considering Occlusion},
      • journal = {IEICE Transactions on Information and Systems},
      • year = 2022,
      • volume = {E105.D},
      • number = 8,
      • pages = {1456--1463}
      • }
    •  Ryoma Yataka and Masashi Shiraishi, "Unknown Object Recognition Using the Manifold Structure of Class Distributions", 2022 19th European Radar Conference (EuRAD), 2022, pp. 193-196.
      BibTeX
      • @Inproceedings{Yataka2022_UOR,
      • author = {Yataka, Ryoma and Shiraishi, Masashi},
      • title = {Unknown Object Recognition Using the Manifold Structure of Class Distributions},
      • booktitle = {2022 19th European Radar Conference (EuRAD)},
      • year = 2022,
      • pages = {193--196}
      • }
    •  Ryoma Yataka, Kazuki Hirashima, Takafumi Matsuda, Tai Tanaka, Masato Gocho and Masashi Shiraishi, "Projection Metric Learning of Updated-Subspaces for Radar Target Classification", 2019 16th European Radar Conference (EuRAD), 2019, pp. 5-8.
      BibTeX
      • @Inproceedings{Yataka2019_PMLUS,
      • author = {Yataka, Ryoma and Hirashima, Kazuki and Matsuda, Takafumi and Tanaka, Tai and Gocho, Masato and Shiraishi, Masashi},
      • title = {Projection Metric Learning of Updated-Subspaces for Radar Target Classification},
      • booktitle = {2019 16th European Radar Conference (EuRAD)},
      • year = 2019,
      • pages = {5--8}
      • }
    •  Takafumi Matsuda, Ryoma Yataka, Masato Gocho and Tai Tanaka, "Micro-Doppler Analysis under Various Aspect Angles for Small UAV Classification", 2019 IEEE Asia-Pacific Microwave Conference (APMC), 2019, pp. 102-104.
      BibTeX
      • @Inproceedings{Yataka2019_UAVClassification,
      • author = {Matsuda, Takafumi and Yataka, Ryoma and Gocho, Masato and Tanaka, Tai},
      • title = {Micro-Doppler Analysis under Various Aspect Angles for Small UAV Classification},
      • booktitle = {2019 IEEE Asia-Pacific Microwave Conference (APMC)},
      • year = 2019,
      • pages = {102--104}
      • }
    •  Ryoma Yataka and Kazuhiro Fukui, "Three-dimensional Object Recognition via Subspace Representation on a Grassmann Manifold", 2017, Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,.
      BibTeX
      • @Conference{Yataka2017_GMSM,
      • author = {Yataka, Ryoma and Fukui, Kazuhiro},
      • title = {Three-dimensional Object Recognition via Subspace Representation on a Grassmann Manifold},
      • booktitle = {Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods - Volume 1: ICPRAM,},
      • year = 2017,
      • pages = {208--216},
      • organization = {INSTICC},
      • publisher = {SciTePress}
      • }