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Takanori Asanomi

takanori.asanomi (at) human.ait.kyushu-u.ac.jp

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About

  • I'm Master student in Kyushu University. My current research focuses on generative models and unsupervised learning.
  • I received my Bachelor degree in Computer Science at the University of Kyushu in 2021. I am very fortunate to be advised by Prof. Ryoma Bise.
  • During my Bachelor and Master, I worked in the intersection of machine learning, optimization and statistics. My research centered around developing novel computationally efficient methods with theoretical guarantees for challenging machine learning problems.

Favorites

  Python 70%

  HTML & CSS 40%

  Raspberry-pi 10%

  Travel 80%

Papers

  • Multi-Frame Attention with Feature-Level Warping for Drone Crowd Tracking
    Takanori Asanomi, Kazuya Nishimura, Ryoma Bise.
    IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2023
    [paper] [code]

  • Unsupervised Deep Robust Non-Rigid Alignment by Low-Rank Loss and Multi-Input Attention
    Takanori Asanomi, Kazuya Nishimura, Heon Song, et al.
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022
    [paper] [code]

  • Deep Non-Rigid Registration for Noisy-and-Corrupted Images
    Takanori Asanomi, Kazuya Nishimura, Heon Song, et al.
    画像の認識・理解シンポジウム (MIRU) 2022(Oral)
    [code]

  • Self-Attentionによる大局的時間情報を考慮した複数物体トラッキング
    Takanori Asanomi, Kazuya Nishimura, Junya Hayashida, et al.
    画像の認識・理解シンポジウム (MIRU) 2022(Oral)
    [code]

  • 特徴量ワーピングを導入した時間情報集約によるマルチオブジェクトトラッキング
    Takanori Asanomi, Kazuya Nishimura, Ryoma Bise.
    電子情報通信学会 パターン認識・メディア理解研究会 (PRMU) 2022
    [paper] [code]

  • ノイズあり複数画像の非剛体位置合わせ
    Takanori Asanomi, Kazuya Nishimura, Heon Song, et al.
    電子情報通信学会 パターン認識・メディア理解研究会 (PRMU) 2021
    [paper] [code]

Award

  • Best Presenation Award
    電子情報通信学会 パターン認識・メディア理解研究会 (PRMU) 2021
  • JEES・ソフトバンクAI人材育成奨学金
    Softbank 2021

Contact

  • Email: takanori.asanomi (at) human.ait.kyushu-u.ac.jp
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