Journals (English)

2024

  1. Mask-Attention A3C: Visual Explanation of Action–State Value in Deep Reinforcement Learning
    Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, and 1 more author
    IEEE Access, 2024
  2. Caption-Guided Interpretable Video Anomaly Detection Based on Memory Similarity
    Yuzhi Shi, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, and 3 more authors
    IEEE Access, 2024

2023

  1. Efficient Action Spotting Using Saliency Feature Weighting
    Yuzhi Shi, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, and 3 more authors
    IEICE Transactions on Information and Systems, 2023
  2. Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric
    Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
    IEEE Access, 2023
  3. Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query
    Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, and 1 more author
    arXiv preprint, 2023
  4. Challenges and implications of predicting the spatiotemporal distribution of dengue fever outbreak in Chinese Taiwan using remote sensing data and deep learning
    Sumiko Anno, Tsubasa Hirakawa, Satoru Sugita, Shinya Yasumoto, and 3 more authors
    Geo-spatial Information Science, 2023
  5. Utilizing Human Social Norms for Multimodal Trajectory Forecasting via Group-Based Forecasting Module
    Hiroaki Minoura, Tsubasa Hirakawa, Yusuke Sugano, Takayoshi Yamashita, and 1 more author
    IEEE Transactions on Intelligent Vehicles, 2023
  6. Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition
    Tomoya Nitta, Tsubasa Hirakawa, Hironobu Fujiyoshi, and Toru Tamaki
    IEICE Transactions on Information and Systems, 2023
  7. Automatic data collection for object detection and grasp-position estimation with mobile robots and invisible markers
    Suraj Prakash Pattar, Thomas Killus, Tsubasa Hirakawa, Takayoshi Yamashita, and 2 more authors
    Advanced Robotics, 2023

2022

  1. Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch
    Yuya Maruyama, Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, and 2 more authors
    arXiv preprint, 2022
  2. A graph convolutional network for predicting COVID-19 dynamics in 190 regions/countries
    Sumiko Anno, Tsubasa Hirakawa, Satoru Sugita, and Shinya Yasumoto
    Frontiers in Public Health, 2022
  3. Single Suction Grasp Detection for Symmetric Objects Using Shallow Networks Trained with Synthetic Data
    Suraj Prakash Pattar, Tsubasa Hirakawa, Takayoshi Yamashita, Tetsuya Sawanobori, and 1 more author
    IEICE Transactions on Information and Systems, 2022
  4. MT-DSSD: multi-task deconvolutional single shot detector for object detection, segmentation, and grasping detection
    Ryosuke Araki, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
    Advanced Robotics, 2022

2021

  1. ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition
    Masahiro Mitsuhara, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
    arXiv preprint, 2021
  2. Normalization of VIIRS DNB images for improved estimation of socioeconomic indicators
    Duc Chuc Man, Tsubasa Hirakawa, and Hiromichi Fukui
    International Journal of Digital Earth, 2021
  3. Distant Traffic Light Recognition Using Semantic Segmentation
    Shota Masaki, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
    Transportation Research Record, 2021
  4. Predicting and attending to damaging collisions for placing everyday objects in photo-realistic simulations
    Aly Magassouba, Komei Sugiura, Angelica Nakayama, Tsubasa Hirakawa, and 3 more authors
    Advanced Robotics, 2021

2020

  1. Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder–Decoder Network
    Tadashi Ogura, Aly Magassouba, Komei Sugiura, Tsubasa Hirakawa, and 3 more authors
    IEEE Robotics and Automation Letters, 2020

2019

  1. Deep learning-based image recognition for autonomous driving
    Hironobu Fujiyoshi, Tsubasa Hirakawa, and Takayoshi Yamashita
    IATSS Research, 2019

2018

  1. Can AI predict animal movements? Filling gaps in animal trajectories using inverse reinforcement learning
    Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi, and 4 more authors
    Ecosphere, 2018

2017

  1. Tree-Wise Discriminative Subtree Selection for Texture Image Labeling
    Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, and 3 more authors
    IEEE Access, 2017

2016

  1. Development of a Real-time Colorectal Tumor Classification System for Narrow-band Imaging zoom-videoendoscopy
    Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, and 4 more authors
    arXiv preprint, 2016
  2. Domain Adaptation with L2 constraints for classifying images from different endoscope systems
    Toru Tamaki, Shoji Sonoyama, Takio Kurita, Tsubasa Hirakawa, and 7 more authors
    arXiv preprint, 2016
  3. Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition
    Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, and 4 more authors
    Artificial Intelligence in Medicine, 2016
  4. Computer-aided diagnosis of colorectal polyp histology by using a real-time image recognition system and narrow-band imaging magnifying colonoscopy
    Yoko Kominami, Shigeto Yoshida, Shinji Tanaka, Yoji Sanomura, and 6 more authors
    Gastrointestinal Endoscopy, 2016

2013

  1. Sa1668 Usefulness of Magnifying Endoscopy With Blue LASER Imaging for Diagnosis of Early Gastric Cancer
    Rie Miyaki, Shigeto Yoshida, Shinji Tanaka, Yoko Kominami, and 12 more authors
    Gastrointestinal Endoscopy, 2013
    DDW Abstract Issue 2013
  2. Mo1642 Quantitative Analysis of NBI Magnifying Colonoscopy Images Based on Bag-of-Features for Diagnosis of Colorectal Tumors
    Yoko Kominami, Shigeto Yoshida, Shinji Tanaka, Rie Miyaki, and 12 more authors
    Gastrointestinal Endoscopy, 2013
    DDW Abstract Issue 2013