Conferences (English)

2026

    1. Frequency-Domain Detection of AI-Generated Images via Radial Spectrum Templates
      Yuta Sato, Takayoshi Yamashita, Hironobu Fujiyoshi, and Tsubasa Hirakawa
      In International Conference on Computer Vision Theory and Applications (VISAPP), 2026
    2. Adaptive IG-ODAM: Efficient Attribution Maps for Object Detection via Spatial-Guided Sampling
      Yuma Nakai, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
      In International Conference on Computer Vision Theory and Applications (VISAPP), 2026

    2025

      1. Enhancing Navigation Text Generation and Visual Explanation Using Spatio-Temporal Scene Graphs with Graph Attention Networks
        Hayato Suzuki, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, and 1 more author
        In IEEE Intelligent Transportation Systems Conference (ITSC), 2025
      2. IG-ODAM: Instance-Aware Visual Explanations for Object Detection with Integrated Gradients
        Yuma Nakai, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
        In International Conference on Machine Vision and Applications (MVA), 2025
      3. Grade Prediction Considering Learning Log Relationship
        Taiga Yamamoto, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
        In International Conference on Learning Evidence and Analytics (ICLEA), 2025
      4. CRNLI: A Textual Entailment Dataset in the Chemistry Domain
        Chenhao Chen, Taiga Masuda, Yoshitaka Ushiku, Shohei Tanaka, and 4 more authors
        In International Conference on Text, Speech, Dialogue (TSD), 2025
      5. Weight Pruning to Mitigate Class-Specific Accuracy Degradation for LiDAR-Based 3D Object Detection
        Tenshi Ito, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
        In IEEE Intelligent Vehicle Symposium (IV), 2025
      6. 2D Motion Generation Using Joint Spatial Information with 2CM-GPT
        Ryota Inoue, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
        In International Conference on Computer Vision Theory and Applications (VISAPP), 2025
      7. Deep Learning, Driver’s Assistance System, Vision and Language Model, Evaluation Method
        Masaki Nambata, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, and 3 more authors
        In International Conference on Computer Vision Theory and Applications (VISAPP), 2025
      8. Grade Prediction Using fastText Features Weighted Through Differential Pattern Mining
        Ryota Tachi, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
        In International Conference on Learning Analytics & Knowledge, 2025
      9. An Investigation of the Relationship between Open-Ended Questionnaires and Lectures
        Masaki Koike, Tsubasa Hirakawa, Takayoshi Yamashita, and Hironobu Fujiyoshi
        In International Conference on Learning Analytics & Knowledge, 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 1 more author
        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