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.

  • Recent News & Events

    •  EVENT    MERL Contributes to ICASSP 2024
      Date: Sunday, April 14, 2024 - Friday, April 19, 2024
      Location: Seoul, South Korea
      MERL Contacts: Petros T. Boufounos; François Germain; Chiori Hori; Sameer Khurana; Toshiaki Koike-Akino; Jonathan Le Roux; Hassan Mansour; Kieran Parsons; Joshua Rapp; Anthony Vetro; Pu (Perry) Wang; Gordon Wichern; Ryoma Yataka
      Research Areas: Artificial Intelligence, Computational Sensing, Machine Learning, Robotics, Signal Processing, Speech & Audio
      Brief
      • MERL has made numerous contributions to both the organization and technical program of ICASSP 2024, which is being held in Seoul, Korea from April 14-19, 2024.

        Sponsorship and Awards

        MERL is proud to be a Bronze Patron of the conference and will participate in the student job fair on Thursday, April 18. Please join this session to learn more about employment opportunities at MERL, including openings for research scientists, post-docs, and interns.

        MERL is pleased to be the sponsor of two IEEE Awards that will be presented at the conference. We congratulate Prof. Stéphane G. Mallat, the recipient of the 2024 IEEE Fourier Award for Signal Processing, and Prof. Keiichi Tokuda, the recipient of the 2024 IEEE James L. Flanagan Speech and Audio Processing Award.

        Jonathan Le Roux, MERL Speech and Audio Senior Team Leader, will also be recognized during the Awards Ceremony for his recent elevation to IEEE Fellow.

        Technical Program

        MERL will present 13 papers in the main conference on a wide range of topics including automated audio captioning, speech separation, audio generative models, speech and sound synthesis, spatial audio reproduction, multimodal indoor monitoring, radar imaging, depth estimation, physics-informed machine learning, and integrated sensing and communications (ISAC). Three workshop papers have also been accepted for presentation on audio-visual speaker diarization, music source separation, and music generative models.

        Perry Wang is the co-organizer of the Workshop on Signal Processing and Machine Learning Advances in Automotive Radars (SPLAR), held on Sunday, April 14. It features keynote talks from leaders in both academia and industry, peer-reviewed workshop papers, and lightning talks from ICASSP regular tracks on signal processing and machine learning for automotive radar and, more generally, radar perception.

        Gordon Wichern will present an invited keynote talk on analyzing and interpreting audio deep learning models at the Workshop on Explainable Machine Learning for Speech and Audio (XAI-SA), held on Monday, April 15. He will also appear in a panel discussion on interpretable audio AI at the workshop.

        Perry Wang also co-organizes a two-part special session on Next-Generation Wi-Fi Sensing (SS-L9 and SS-L13) which will be held on Thursday afternoon, April 18. The special session includes papers on PHY-layer oriented signal processing and data-driven deep learning advances, and supports upcoming 802.11bf WLAN Sensing Standardization activities.

        Petros Boufounos is participating as a mentor in ICASSP’s Micro-Mentoring Experience Program (MiME).

        About ICASSP

        ICASSP is the flagship conference of the IEEE Signal Processing Society, and the world's largest and most comprehensive technical conference focused on the research advances and latest technological development in signal and information processing. The event attracts more than 3000 participants.
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  • MERL Publications

    •  Yataka, R., Wang, P., Boufounos, P.T., Takahashi, R., "SIRA: Scalable Inter-frame Relation and Association for Radar Perception", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2024.
      BibTeX TR2024-041 PDF
      • @inproceedings{Yataka2024jun,
      • author = {Yataka, Ryoma and Wang, Pu and Boufounos, Petros T. and Takahashi, Ryuhei},
      • title = {SIRA: Scalable Inter-frame Relation and Association for Radar Perception},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2024,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2024-041}
      • }
    •  Yataka, R., Wang, P., Boufounos, P.T., Takahashi, R., "Radar Perception with Scalable Connective Temporal Relations for Autonomous Driving", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/​ICASSP48485.2024.10446449, March 2024, pp. 13266-13270.
      BibTeX TR2024-023 PDF
      • @inproceedings{Yataka2024mar,
      • author = {Yataka, Ryoma and Wang, Pu and Boufounos, Petros T. and Takahashi, Ryuhei},
      • title = {Radar Perception with Scalable Connective Temporal Relations for Autonomous Driving},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2024,
      • pages = {13266--13270},
      • month = mar,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP48485.2024.10446449},
      • issn = {2379-190X},
      • isbn = {979-8-3503-4485-1},
      • url = {https://www.merl.com/publications/TR2024-023}
      • }
  • 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}
      • }