Tomoya Sakai

Tomoya Sakai

Bio

Tomoya Sakai is a researcher at IBM Research - Tokyo. For more details, please refer to the external website.

Publications

  • Interactive Image Segmentation Guided by Visual Prompting

      • Thomas Frick
      • Cezary Skura
      • et al.
    • 2024
    • CVPR 2024
    Demo paper
  • A cycle consistency based Approach for Semantic Segmentation on crack images

      • Haoxiang Qiu
      • Tomoya Sakai
      • et al.
    • 2024
    • SSII 2024
    Conference paper
  • Preventing Catastrophic Forgetting in Generalized Few-Shot Semantic Segmentation

      • Tomoya Sakai
      • Takayuki Katsuki
      • et al.
    • 2024
    • JSAI 2024
    Conference paper
  • Research and Development for IBM Granite Time Series Foundation Model

      • Takayuki Katsuki
      • Tomoya Sakai
    • 2024
    • JSAI 2024
    Demo paper
  • Visual-Text Prompting

      • Takayuki Katsuki
      • Haoxiang Qiu
      • et al.
    • 2024
    • JSAI 2024
    Demo paper
  • Simple Yet Effective Approach to Generalized Few-Shot Semantic Segmentation

      • Tomoya Sakai
      • Takayuki Katsuki
      • et al.
    • 2023
    • IBISML 2023
    Poster
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  • 1
  • 2

Patents

    • 26 Jan 2026
    • US
    • 12536785

    Domain Vector-based Domain Adaptation For Object Detection And Instance Segmentation

Top collaborators

TK
Takayuki Katsuki

Takayuki Katsuki

Researcher
HQ
Haoxiang Qiu

Haoxiang Qiu

DK
Daiki Kimura

Daiki Kimura

Senior Account Technical Leader for Government
TO
Takayuki Osogami

Takayuki Osogami

Senior Technical Staff Member
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Work location

IBM Research - JapanTokyo, Japan

Contact

More publications

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