Conferences (English)

2025

    2024

    1. ECCV
      Layer-Wise Relevance Propagation with Conservation Property for ResNet
      Seitaro Otsuki, Tsumugi Iida, Félix Doublet, Tsubasa Hirakawa, and 3 more authors
      In European Conference on Computer Vision (ECCV), 2024
    2. Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights
      Masaki Koike, Hirokazu Kohama, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In International Conference on Educational Data Mining (EDM), 2024
    3. ACCV
      Faster convergence and Uncorrelated gradients in Self-Supervised Online Continual Learning
      Koyo Imai, Naoto Hayashi, Tsubasa Hirakawa, Takayoshi Yamashita, and 2 more authors
      In Asian Conference on Computer Vision (ACCV), 2024
    4. ACCV
      DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention
      NguyenHuu BaoLong, Chenyu Zhang, Yuzhi Shi, Tsubasa Hirakawa, and 3 more authors
      In Asian Conference on Computer Vision (ACCV), 2024
    5. Binary-Decomposed Vision Transformer: Compressing and Accelerating Vision Transformer by Binary Decomposition
      Ryota Kondo, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In IEEE International Conference on Image Processing (ICIP), 2024
    6. Larval Hostplant Prediction from Luehdorfia japonica Image using Multi-label ABN
      Tsubasa Hirakawa, Takaaki Arai, Takayoshi Yamashita, Hironobu Fujiyoshi, and 3 more authors
      In ECCV Workshop on Computer Vision for Ecology, 2024
    7. Potential Risk Localization via Weak Labeling out of Blind Spot
      Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In CVPR Workshop on Autonomous Driving, 2024
    8. High-Precision for Multi-Task Learning from In-Vehicle Camera using BiFPN
      Chenyu Zhang, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In IEEE Intelligent Vehicle Symposium (IV), 2024
    9. Human-like Guidance by Generating Navigation Using Spatial-Temporal Scene Graph
      Hayato Suzuki, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, and 4 more authors
      In IEEE Intelligent Vehicle Symposium (IV), 2024
    10. Auxiliary selection: optimal selection of auxiliary tasks using deep reinforcement learning
      Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In IIEEJ International Conference on Image Electronics and Visual Computing (IEVC), 2024
    11. Class Weighted Focal Loss for Improving Class Imbalance in Semi-supervised Object Detection
      Shinichi Hoketsu, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In International Conference on Computer Vision Theory and Applications (VISAPP), 2024
    12. Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning
      Naoto Hayashi, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In International Conference on Computer Vision Theory and Applications (VISAPP), 2024

    2023

    1. Recommending Learning Actions Using Neural Network
      Hirokazu Kohama, Yuki Ban, Tsubasa Hirakawa, Takayoshi Yamashita, and 3 more authors
      In International Conference on Computers in Education, 2023
    2. BMVC
      Embedding Human Knowledge into Spatio-Temproal Attention Branch Network in Video Recognition via Temporal attention
      Saki Noguchi, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In British Machine Vision Conference (BMVC), 2023
    3. Data Drift Detection with KS Test using Attention Map
      Tsunemi Nitta, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In Asian Conference on Pattern Recognition (ACPR), 2023
    4. Single-Shot Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning
      Hirokazu Kohama, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In ICCV Workshop on Resource Efficient Deep Learning for Computer Vision, 2023
    5. Human-like Guidance with Gaze Estimation and Classification-based Text Generation
      Masaki Nambata, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023
    6. Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning
      Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In International Joint Conference on Neural Networks (IJCNN), 2023
    7. Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning
      Tenshi Ito, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In International Joint Conference on Neural Networks (IJCNN), 2023
    8. Potential Risk Estimation with Single Monocular Camera
      Kota Shimomura, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, and 3 more authors
      In CVPR workshop on Secure and Safe Autonomous Driving (SSAD), 2023
    9. Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher
      Kohei Hattori, Hironobu Fujiyoshi, Takayoshi Yamashita, and Tsubasa Hirakawa
      In International Conference on Artificial Intelligence in Education (AIED), 2023
    10. ICLR
      This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers
      Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In International Conference on Learning Representations (ICLR), 2023
    11. Complement Objective Mining Branch for Optimizing Attention Map
      Takaaki Iwayoshi, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In International Conference on Computer Vision Theory and Applications (VISAPP), 2023
    12. Masking and Mixing Adversarial Training
      Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, and 2 more authors
      In International Conference on Computer Vision Theory and Applications (VISAPP), 2023
    13. Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer
      Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In International Conference on Computer Vision Theory and Applications (VISAPP), 2023
    14. 1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention
      Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In International Conference on Computer Vision Theory and Applications (VISAPP), 2023

    2022

    1. Solving the Deadlock Problem with Deep Reinforcement Learning Using Information from Multiple Vehicles
      Tsuyoshi Goto, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In IEEE Intelligent Vehicles Symposium (IV), 2022
    2. Quantification of mimicry resemblance in butterflies using feature extractor of deep neural network
      Kai Amino, Tsubasa Hirakawa, Masaya Yago, and Takashi Matsuo
      In Congress of Europian Society for Evolutionary Biology (ESEB), 2022
    3. Forest-Related SDG Issues Monitoring for Data-Scarce Regions Employing Machine Learning and Remote Sensing - A Case Study for Ena City, Japan
      Anh Phan, Kiyoshi Takejima, Tsubasa Hirakawa, and Hiromichi Fukui
      In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2022
    4. Collision Prediction and Visual Explanation Generation Using Structural Knowledge in Object Placement Tasks
      Haruka Matsuo, Shumpei Hatahaka, Arisa Ueda, Tsubasa Hirakawa, and 3 more authors
      In IROS, late breaking results poster, 2022
    5. ACCV
      Visual Explanation Generation Based on Lambda Attention Branch Networks
      Tsumugi Iida, Takumi Komatsu, Kanta Kaneda, Tsubasa Hirakawa, and 3 more authors
      In Asian Conference on Computer Vision (ACCV), 2022
    6. ECCV
      Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification
      Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In European Conference on Computer Vision, 2022
      arXiv Code
    7. Class-Wise FM-NMS for Knowledge Distillation of Object Detection
      Lyuzhuang Liu, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In IEEE International Conference on Image Processing (ICIP), 2022
    8. Action Spotting in Soccer Videos Using Multiple Scene Encoders
      Yuzhi Shi, Hiroaki Minoura, Takayoshi Yamashita, Tsubasa Hirakawa, and 4 more authors
      In International Conference on Pattern Recognition (ICPR), 2022
    9. Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning
      Sachi Iwata, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In International Conference on Pattern Recognition (ICPR), 2022

    2021

    1. Performance Prediction and Importance Analysis Using Transformer
      Akiyoshi Satake, Hironobu Fujiyoshi, Takayoshi Yamashita, Tsubasa Hirakawa, and 1 more author
      In International Conference on Computers in Education Conference (ICCE), 2021
    2. 1D Self-Attention Network for Point Cloud Semantic Segmentation Using Omnidirectional LiDAR
      Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In Asian Conference on Pattern Recognition (ACPR), 2021
    3. Super-Class Mixup for Adjusting Training Data
      Shungo Fujii, Naoki Okamoto, Toshiki Seo, Tsubasa Hirakawa, and 2 more authors
      In Asian Conference on Pattern Recognition (ACPR), 2021
    4. IROS
      Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation
      Ryosuke Araki, Kohsuke Mano, Tadanori Hirano, Tsubasa Hirakawa, and 2 more authors
      In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
    5. Multi-Domain Semantic-Segmentation using Multi-Head Model
      Shota Masaki, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In IEEE International Intelligent Transportation Systems Conference (ITSC), 2021
    6. Semantic Segmentation And Change Detection By Multi-Task U-Net
      Shungo Tsutsui, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In IEEE International Conference on Image Processing (ICIP), 2021
    7. Action Spotting and Temporal Attention Analysis in Soccer Videos
      Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, and 3 more authors
      In International Conference on Machine Vision and Applications (MVA), 2021
    8. Attention Mining Branch for Optimizing Attention Map
      Takaaki Iwayoshi, Masahiro Mitsuhara, Masayuki Takada, Tsubasa Hirakawa, and 2 more authors
      In International Conference on Machine Vision and Applications (MVA), 2021
    9. Relational Subgraph for Graph-based Path Prediction
      Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, and 2 more authors
      In International Conference on Machine Vision and Applications (MVA), 2021
    10. Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning
      Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, and 1 more author
      In International Joint Conference on Neural Networks (IJCNN), 2021
      arXiv
    11. Image Captioning for Near-Future Events from Vehicle Camera Images and Motion Information
      Yuki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In IEEE Intelligent Vehicles Symposium (IV), 2021
    12. 3D Object Detection with Normal-map on Point Clouds
      Jishu Miao., Tsubasa Hirakawa., Takayoshi Yamashita., and Hironobu Fujiyoshi.
      In VISAPP, 2021
    13. Embedding Human Knowledge into Deep Neural Network via Attention Map
      Masahiro Mitsuhara., Hiroshi Fukui., Yusuke Sakashita., Takanori Ogata., and 3 more authors
      In VISAPP, 2021
      arXiv
    14. Collaborative Learning of Generative Adversarial Networks
      Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In VISAPP, 2021

    2020

    1. Correction of Seasonal Effects on VIIRS DNB Monthly Composites by Using Stable Lit Data and Regression Convolutional Neural Network
      Chuc Man Duc, Tsubasa Hirakawa, and Hiromichi Fukui
      In IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2020
    2. Improving reliability of attention branch network by introducing uncertainty
      Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In International Conference on Pattern Recognition (ICPR), 2020
    3. ACCV
      Knowledge Transfer Graph for Deep Collaborative Learning
      Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In Asian Conference on Computer Vision (ACCV), 2020
      arXiv Code
    4. ACCV
      Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition
      Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In Asian Conference on Computer Vision (ACCV), 2020
    5. Video Object Detection and Tracking based on Angle Consistency between Motion and Flow
      Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In IEEE Intelligent Vehicles Symposium (IV), 2020
    6. ICRA
      MT-DSSD: Deconvolutional Single Shot Detector Using Multi Task Learning for Object Detection, Segmentation, and Grasping Detection
      Ryosuke Araki, Takeshi Onishi, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
      In IEEE International Conference on Robotics and Automation (ICRA), 2020
    7. Simultaneous Visual Context-aware Path Prediction
      Haruka Iesaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, and 3 more authors
      In VISAPP, 2020
    8. Acquisition of Optimal Connection Patterns for Skeleton-based Action Recognition with Graph Convolutional Networks
      Katsutoshi Shiraki., Tsubasa Hirakawa., Takayoshi Yamashita., and Hironobu Fujiyoshi.
      In VISAPP, 2020

    2019

    1. Coarse-to-Fine Deep Orientation Estimator for Local Image Matching
      Yasuaki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In Asian Conference on Pattern Recognition (ACPR), 2019
    2. Attention Neural Baby Talk: Captioning of Risk Factors while Driving
      Yuki Mori, Hiroshi Fukui, Tsubasa Hirakawa, Jo Nishiyama, and 2 more authors
      In IEEE Intelligent Transportation Systems Conference (ITSC), 2019
    3. Automatic Creation of Path Information on Digital Map
      Haruka Iesaki, Shuhei Naruse, Tsubasa Hirakawa, Takayoshi Yamashita, and 2 more authors
      In IEEE Intelligent Transportation Systems Conference (ITSC), 2019
    4. Adaptive Selection of Auxiliary Tasks in UNREAL
      Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamasita, and Hironobu Fujiyoshi
      In IJCAI Workshop on 2nd Scaling-Up Reinforcement Learning (SURL), 2019
    5. CVPR
      Attention Branch Network: Learning of Attention Mechanism for Visual Explanation
      Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In Computer Vision and Pattern Recognition (CVPR), 2019
      arXiv Code
    6. Visual Explanation by Attention Branch Network for End-to-end Learning-based Self-driving
      Keisuke Mori, Hiroshi Fukui, Takuya Murase, Tsubasa Hirakawa, and 2 more authors
      In IEEE Intelligent Vehicles Symposium (IV), 2019
    7. Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning
      Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), 2019
    8. Path Predictions using Object Attributes and Semantic Environment
      Hiroaki Minoura., Tsubasa Hirakawa., Takayoshi Yamashita., and Hironobu Fujiyoshi.
      In International Conference on Computer Vision Theory and Applications (VISAPP), 2019
    9. Improved Activity Forecasting for Generating Trajectories
      Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, and 2 more authors
      In The Korea-Japan joint workshop on Frontiers of Computer Vision (FCV), 2019
      arXiv

    2018

    1. Survey on Vision-Based Path Prediction
      Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, and Hironobu Fujiyoshi
      In International Conference on Human-Computer Interaction (HCII), 2018
      arXiv

    2017

    1. Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction
      Tsubasa Hirakawa, Takayoshi Yamashita, Ken Yoda, Toru Tamaki, and 1 more author
      In Asian Conference on Pattern Recognition (ACPR), 2017

    2016

    1. Discriminative Subtree Selection for NBI Endoscopic Image Labeling
      Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, and 7 more authors
      In ACCV workshop on Mathematical and Computational Methods in Biomedical Imaging and Image Analysis, 2016
    2. Transfer Learning for Endoscopic Image Classification
      Shoji Sonoyama, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, and 5 more authors
      In The Korea-Japan joint workshop on Frontiers of Computer Vision (FCV), 2016
      arXiv
    3. Computer-Aided Colorectal Tumor Classification in NBI Endoscopy Using CNN Features
      Tamaki Toru, Shoji Sonoyama, Tsubasa Hirakawa, Bisser Raytchev, and 5 more authors
      In The Korea-Japan joint workshop on Frontiers of Computer Vision (FCV), 2016
      arXiv

    2015

    1. Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification
      Shoji Sonoyama, Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, and 6 more authors
      In IEEE Engineering in Medicine and Biology Society (EMBC), 2015
    2. Trade-off between speed and performance for colorectal endoscopic NBI image classification
      Shoji Sonoyama, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, and 5 more authors
      In SPIE Medical Imaging, 2015

    2014

    1. SVM-MRF segmentation of colorectal NBI endoscopic images
      Tsubasa Hirakawa, Tom Tamaki, Bisser Raytchev, Kazufumi Kaneda, and 4 more authors
      In IEEE Engineering in Medicine and Biology Society (EMBC), 2014

    2013

    1. Smoothing posterior probabilities with a particle filter of dirichlet distribution for stabilizing colorectal NBI endoscopy recognition
      Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, and 6 more authors
      In IEEE International Conference on Image Processing (ICIP), 2013
    2. Labeling colorectal NBI zoom-videoendoscope image sequences with MRF and SVM
      Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, and 6 more authors
      In IEEE Engineering in Medicine and Biology Society (EMBC), 2013