Publications

• Neural Video Representation for Redundancy Reduction and Consistency Preservation
  Taiga Hayami, Takahiro Shindo, Shunsuke Akamatsu, Hiroshi Watanabe
  IEEE ICCE 2025
  [paper]


• Improving Image Coding for Machines through Optimizing Encoder via Auxiliary Loss
  Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda
  IEEE ICIP 2024
  [paper]


• Classification in Japanese Sign Language Based on Dynamic Facial Expressions
  Yui Tatsumi, Shoko Tanaka, Shunsuke Akamatsu, Takahiro Shindo, Hiroshi Watanabe
  IEEE GCCE 2024
  [paper]


• On The Impact of Learning-based Image Compression on Computer Vision Tasks
  Shunsuke Akamatsu, Michela Testolina, Evgeniy Upenik, Touradj Ebrahimi
  SPIE Applications of Digital Image Processing XLVII
  [paper]


• Bounding Box Aware Edge-Cloud Collaborative Method for Multiple Object Detection
  Shunsuke Akamatsu, Hiroshi Watanabe
  IEEE AIC 2024
  [paper]


• Edge-Cloud Collaborative Object Detection Model with Feature Compression
  Shunsuke Akamatsu, Kei Iino, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda
  IIEEJ IEVC 2024
  [paper]


• Image Coding for Machines with Objectness-based Feature Distillation
  Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda
  IIEEJ IEVC 2024
  [paper]


• Introduction of Auxiliary Loss in Deep Image Compression for Image Recognition
  Kei Iino, Shunsuke Akamatsu, Hiroshi Watanabe, Shohei Enomoto, Akira Sakamoto, Takeharu Eda
  IEICE 2024
  [paper]


• A Video Object Detection Method of ECNet Based on Frame Difference and Grid Cell Confidence
  Shunsuke Akamatsu, Kei Iino, Hiroshi Watanabe, Shohei Enomoto, Xu Shi, Akira Sakamoto, Takeharu Eda
  IEEE GCCE 2023
  [paper]