Labeling colorectal NBI zoom-videoendoscope image sequences with MRF and SVM. - Tsubasa Hirakawa; Toru Tamaki; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Shigeta Yoshida; Yoko Kominami; Taiji Matsuo; Rie Miyaki; Shinji Tanaka (EMBC, 2013)

Smoothing posterior probabilities with a particle filter of dirichlet distribution for stabilizing colorectal NBI endoscopy recognition. - Tsubasa Hirakawa; Toru Tamaki; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Yoko Kominami; Rie Miyaki; Taiji Matsuo; Shigeto Yoshida; Shinji Tanaka (ICIP, 2013)

SVM-MRF segmentation of colorectal NBI endoscopic images. - Tsubasa Hirakawa; Tom Tamaki; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Yoko Kominami; Shigeto Yoshida; Shinji Tanaka (EMBC, 2014)

Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification. - Shoji Sonoyama; Tsubasa Hirakawa; Toru Tamaki; Takio Kurita; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Shigeto Yoshida; Yoko Kominami; Shinji Tanaka (EMBC, 2015)

Trade-off between speed and performance for colorectal endoscopic NBI image classification. - Shoji Sonoyama; Toru Tamaki; Tsubasa Hirakawa; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Yoko Kominami; Shigeto Yoshida; Shinji Tanaka (Image Processing, 2015)

Discriminative Subtree Selection for NBI Endoscopic Image Labeling. - Tsubasa Hirakawa; Toru Tamaki; Takio Kurita; Bisser Raytchev; Kazufumi Kaneda; Chaohui Wang; Laurent Najman; Tetsushi Koide; Shigeto Yoshida; Hiroshi Mieno; Shinji Tanaka (ACCV Workshops (2), 2016)

Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition. - Tsubasa Hirakawa; Toru Tamaki; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Shigeto Yoshida; Yoko Kominami; Shinji Tanaka (Artif. Intell. Medicine, 2016)

Corrigendum to "Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition" [Artif. Intell. Med. 68 (March 2016) 1-16]. - Tsubasa Hirakawa; Toru Tamaki; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Shigeto Yoshida; Yoko Kominami; Shinji Tanaka (Artif. Intell. Medicine, 2016)

Development of a Real-time Colorectal Tumor Classification System for Narrow-band Imaging zoom-videoendoscopy. - Tsubasa Hirakawa; Toru Tamaki; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Shigeto Yoshida; Hiroshi Mieno; Shinji Tanaka (CoRR, 2016)

Transfer Learning for Endoscopic Image Classification. - Shoji Sonoyama; Toru Tamaki; Tsubasa Hirakawa; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Shigeto Yoshida; Hiroshi Mieno; Shinji Tanaka (CoRR, 2016)

Computer-Aided Colorectal Tumor Classification in NBI Endoscopy Using CNN Features. - Toru Tamaki; Shoji Sonoyama; Tsubasa Hirakawa; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Shigeto Yoshida; Hiroshi Mieno; Shinji Tanaka (CoRR, 2016)

Domain Adaptation with L2 constraints for classifying images from different endoscope systems. - Toru Tamaki; Shoji Sonoyama; Takio Kurita; Tsubasa Hirakawa; Bisser Raytchev; Kazufumi Kaneda; Tetsushi Koide; Shigeto Yoshida; Hiroshi Mieno; Shinji Tanaka; Kazuaki Chayama (CoRR, 2016)

Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction. - Tsubasa Hirakawa; Takayoshi Yamashita; Ken Yoda; Toru Tamaki; Hironobu Fujiyoshi (ACPR, 2017)

Tree-Wise Discriminative Subtree Selection for Texture Image Labeling. - Tsubasa Hirakawa; Toru Tamaki; Takio Kurita; Bisser Raytchev; Kazufumi Kaneda; Chaohui Wang; Laurent Najman (IEEE Access, 2017)

Survey on Vision-Based Path Prediction. - Tsubasa Hirakawa; Takayoshi Yamashita; Toru Tamaki; Hironobu Fujiyoshi (HCI (22), 2018)

Coarse-to-Fine Deep Orientation Estimator for Local Image Matching. - Yasuaki Mori; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACPR (1), 2019)

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. - Hiroshi Fukui; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CVPR, 2019)

Automatic Creation of Path Information on Digital Map. - Haruka Iesaki; Shuhei Naruse; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ITSC, 2019)

Attention Neural Baby Talk: Captioning of Risk Factors while Driving. - Yuki Mori; Hiroshi Fukui; Tsubasa Hirakawa; Jo Nishiyama; Takayoshi Yamashita; Hironobu Fujiyoshi (ITSC, 2019)

Visual Explanation by Attention Branch Network for End-to-end Learning-based Self-driving. - Keisuke Mori; Hiroshi Fukui; Takuya Murase; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IV, 2019)

Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning. - Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (PerCom Workshops, 2019)

Trajectories Prediction of the Black-Tailed Gull Using the Inverse Reinforcement Learning. - Kanon Takemura; Tsubasa Hirakawa; Yuichi Mizutani; Hirokazu Suzuki; Michi Tsuruya; Ken Yoda (PerCom Workshops, 2019)

Path Predictions using Object Attributes and Semantic Environment. - Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 2019)

Embedding Human Knowledge in Deep Neural Network via Attention Map. - Masahiro Mitsuhara; Hiroshi Fukui; Yusuke Sakashita; Takanori Ogata; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CoRR, 2019)

Improved Activity Forecasting for Generating Trajectories. - Daisuke Ogawa; Toru Tamaki; Tsubasa Hirakawa; Bisser Raytchev; Kazufumi Kaneda; Ken Yoda (CoRR, 2019)

Knowledge Transfer Graph for Deep Collaborative Learning. - Soma Minami; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACCV (4), 2020)

Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition. - Katsutoshi Shiraki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACCV (5), 2020)

Improving reliability of attention branch network by introducing uncertainty. - Takuya Tsukahara; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICPR, 2020)

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; Hironobu Fujiyoshi (ICRA, 2020)

Correction of Seasonal Effects on VIIRS DNB Monthly Composites by Using Stable Lit Data and Regression Convolutional Neural Network. - Chuc Man Duc; Tsubasa Hirakawa; Hiromichi Fukui (IGARSS, 2020)

Video Object Detection and Tracking based on Angle Consistency between Motion and Flow. - Toshiki Seo; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IV, 2020)

Simultaneous Visual Context-aware Path Prediction. - Haruka Iesaki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Yasunori Ishii; Kazuki Kozuka; Ryota Fujimura (VISIGRAPP (4: VISAPP), 2020)

Acquisition of Optimal Connection Patterns for Skeleton-based Action Recognition with Graph Convolutional Networks. - Katsutoshi Shiraki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 2020)

Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network. - Tadashi Ogura; Aly Magassouba; Komei Sugiura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Hisashi Kawai (IEEE Robotics Autom. Lett., 2020)

Super-Class Mixup for Adjusting Training Data. - Shungo Fujii; Naoki Okamoto; Toshiki Seo; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACPR (2), 2021)

1D Self-Attention Network for Point Cloud Semantic Segmentation Using Omnidirectional LiDAR. - Takahiro Suzuki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACPR (1), 2021)

Semantic Segmentation And Change Detection By Multi-Task U-Net. - Shungo Tsutsui; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICIP, 2021)

Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. - Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (IJCNN, 2021)

Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation. - Ryosuke Araki; Kohsuke Mano; Tadanori Hirano; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IROS, 2021)

Multi-Domain Semantic-Segmentation using Multi-Head Model. - Shota Masaki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ITSC, 2021)

Image Captioning for Near-Future Events from Vehicle Camera Images and Motion Information. - Yuki Mori; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IV, 2021)

Attention Mining Branch for Optimizing Attention Map. - Takaaki Iwayoshi; Masahiro Mitsuhara; Masayuki Takada; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (MVA, 2021)

Action Spotting and Temporal Attention Analysis in Soccer Videos. - Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Mitsuru Nakazawa; Yeongnam Chae; Björn Stenger (MVA, 2021)

Relational Subgraph for Graph-based Path Prediction. - Masaki Miyata; Katsutoshi Shiraki; Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (MVA, 2021)

3D Object Detection with Normal-map on Point Clouds. - Jishu Miao; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 2021)

Embedding Human Knowledge into Deep Neural Network via Attention Map. - Masahiro Mitsuhara; Hiroshi Fukui; Yusuke Sakashita; Takanori Ogata; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 2021)

Collaborative Learning of Generative Adversarial Networks. - Takuya Tsukahara; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 2021)

Predicting and attending to damaging collisions for placing everyday objects in photo-realistic simulations. - Aly Magassouba; Komei Sugiura; Angelica Nakayama; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Hisashi Kawai (Adv. Robotics, 2021)

Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification. - Naoki Okamoto; Soma Minami; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CoRR, 2021)

ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition. - Masahiro Mitsuhara; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CoRR, 2021)

Normalization of VIIRS DNB images for improved estimation of socioeconomic indicators. - Chuc Man Duc; Tsubasa Hirakawa; Hiromichi Fukui (Int. J. Digit. Earth, 2021)

Visual Explanation Generation Based on Lambda Attention Branch Networks. - Tsumugi Iida; Takumi Komatsu; Kanta Kaneda; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (ACCV (2), 2022)

Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification. - Naoki Okamoto; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ECCV (11), 2022)

Class-Wise FM-NMS for Knowledge Distillation of Object Detection. - Lyuzhuang Liu; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICIP, 2022)

Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning. - Sachi Iwata; Soma Minami; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICPR, 2022)

Action Spotting in Soccer Videos Using Multiple Scene Encoders. - Yuzhi Shi; Hiroaki Minoura; Takayoshi Yamashita; Tsubasa Hirakawa; Hironobu Fujiyoshi; Mitsuru Nakazawa; Yeongnam Chae; Björn Stenger (ICPR, 2022)

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; Hiromichi Fukui (IGARSS, 2022)

Solving the Deadlock Problem with Deep Reinforcement Learning Using Information from Multiple Vehicles. - Tsuyoshi Goto; Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IV, 2022)

MT-DSSD: multi-task deconvolutional single shot detector for object detection, segmentation, and grasping detection. - Ryosuke Araki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (Adv. Robotics, 2022)

Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch. - Yuya Maruyama; Hiroshi Fukui; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (CoRR, 2022)

Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes. - Shungo Fujii; Yasunori Ishii; Kazuki Kozuka; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CoRR, 2022)

Single Suction Grasp Detection for Symmetric Objects Using Shallow Networks Trained with Synthetic Data. - Suraj Prakash Pattar; Tsubasa Hirakawa; Takayoshi Yamashita; Tetsuya Sawanobori; Hironobu Fujiyoshi (IEICE Trans. Inf. Syst., 2022)

Detecting Data Drift with KS Test Using Attention Map. - Tsunemi Nitta; Yuzhi Shi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACPR (1), 2023)

Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher. - Kohei Hattori; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (AIED (Posters/Late Breaking Results/...), 2023)

Embedding Human Knowledge into Spatio-Temproal Attention Branch Network in Video Recognition via Temporal attention. - Saki Noguchi; Yuzhi Shi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (BMVC, 2023)

Recommending Learning Actions Using Neural Network. - Hirokazu Kohama; Yuki Ban; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Akitoshi Itai; Hiroyasu Usami (ICCE, 2023)

Single-Shot Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning. - Hirokazu Kohama; Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICCV (Workshops), 2023)

This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers. - Yuki Ukai; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICLR, 2023)

Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. - Hidenori Itaya; Tom Sagawa; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IJCNN, 2023)

Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning. - Tenshi Ito; Hiroki Adachi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IJCNN, 2023)

Human-like Guidance with Gaze Estimation and Classification-based Text Generation. - Masaki Nambata; Kota Shimomura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ITSC, 2023)

Masking and Mixing Adversarial Training. - Hiroki Adachi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Yasunori Ishii; Kazuki Kozuka (VISIGRAPP (4: VISAPP), 2023)

Complement Objective Mining Branch for Optimizing Attention Map. - Takaaki Iwayoshi; Hiroki Adachi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (4: VISAPP), 2023)

Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer. - Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 2023)

1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention. - Takahiro Suzuki; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (5: VISAPP), 2023)

Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric. - Yuki Ukai; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IEEE Access, 2023)

Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query. - Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (CoRR, 2023)

Utilizing Human Social Norms for Multimodal Trajectory Forecasting via Group-Based Forecasting Module. - Hiroaki Minoura; Tsubasa Hirakawa; Yusuke Sugano; Takayoshi Yamashita; Hironobu Fujiyoshi (IEEE Trans. Intell. Veh., 2023)

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; Tetsuya Sawanobori; Hironobu Fujiyoshi (Adv. Robotics, 2023)

Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition. - Tomoya Nitta; Tsubasa Hirakawa; Hironobu Fujiyoshi; Toru Tamaki (IEICE Trans. Inf. Syst., 2023)

DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention. - NguyenHuu BaoLong; Chenyu Zhang; Yuzhi Shi; Tsubasa Hirakawa; Takayoshi Yamashita; Tohgoroh Matsui; Hironobu Fujiyoshi (ACCV (10), 2024)

Faster Convergence and Uncorrelated Gradients in Self-Supervised Online Continual Learning. - Koyo Imai; Naoto Hayashi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ACCV (8), 2024)

Prompt Learning with One-Shot Setting based Feature Space Analysis in Vision-and-Language Models. - Yuki Hirohashi; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CVPR Workshops, 2024)

Potential Risk Localization via Weak Labeling out of Blind Spot. - Kota Shimomura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (CVPR Workshops, 2024)

Larval Hostplant Prediction from Luehdorfia japonica Image Using Multi-label ABN. - Tsubasa Hirakawa; Takaaki Arai; Takayoshi Yamashita; Hironobu Fujiyoshi; Yuichi Oba; Hiromichi Fukui; Masaya Yago (ECCV Workshops (2), 2024)

Layer-Wise Relevance Propagation with Conservation Property for ResNet. - Seitaro Otsuki; Tsumugi Iida; Félix Doublet; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (ECCV (43), 2024)

Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights. - Masaki Koike; Hirokazu Kohama; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (EDM, 2024)

Binary-Decomposed Vision Transformer: Compressing and Accelerating Vision Transformer by Binary Decomposition. - Ryota Kondo; Hiroaki Minoura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (ICIP, 2024)

Human-like Guidance by Generating Navigation Using Spatial-Temporal Scene Graph. - Hayato Suzuki; Kota Shimomura; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Shota Okubo; Nanri Takuya; Wang Siyuan (IV, 2024)

High-Precision for Multi-Task Learning from In-Vehicle Camera using BiFPN. - Chenyu Zhang; Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IV, 2024)

Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning. - Naoto Hayashi; Naoki Okamoto; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (2): VISAPP, 2024)

Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection. - Shinichi Hoketsu; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (2): VISAPP, 2024)

Mask-Attention A3C: Visual Explanation of Action-State Value in Deep Reinforcement Learning. - Hidenori Itaya; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (IEEE Access, 2024)

Caption-Guided Interpretable Video Anomaly Detection Based on Memory Similarity. - Yuzhi Shi; Takayoshi Yamashita; Tsubasa Hirakawa; Hironobu Fujiyoshi; Mitsuru Nakazawa; Yeongnam Chae; Björn Stenger (IEEE Access, 2024)

DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention. - Nguyen Huu Bao Long; Chenyu Zhang; Yuzhi Shi; Tsubasa Hirakawa; Takayoshi Yamashita; Tohgoroh Matsui; Hironobu Fujiyoshi (CoRR, 2024)

Efficient Action Spotting Using Saliency Feature Weighting. - Yuzhi Shi; Takayoshi Yamashita; Tsubasa Hirakawa; Hironobu Fujiyoshi; Mitsuru Nakazawa; Yeongnam Chae; Björn Stenger (IEICE Trans. Inf. Syst., 2024)

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; Ming-An Lee; Yoshinobu Sasaki; Kei Oyoshi (Geo spatial Inf. Sci., 2024)

Nearest neighbor future captioning: generating descriptions for possible collisions in object placement tasks. - Takumi Komatsu; Motonari Kambara; Shumpei Hatanaka; Haruka Matsuo; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (Adv. Robotics, 2024)

IG-ODAM: Instance-Aware Visual Explanations for Object Detection with Integrated Gradients. - Yuma Nakai; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (MVA, 2025)

CRNLI: A Textual Entailment Dataset in the Chemistry Domain. - Chenhao Chen; Taiga Masuda; Yoshitaka Ushiku; Shohei Tanaka; Kuniaki Saito; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (TSD (2), 2025)

2D Motion Generation Using Joint Spatial Information with 2CM-GPT. - Ryota Inoue; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (VISIGRAPP (2): VISAPP, 2025)

VLLM Guided Human-Like Guidance Navigation Generation. - Masaki Nambata; Tsubasa Hirakawa; Takayoshi Yamashita; Hirobobu Fujiyoshi; Takehito Teraguchi; Shota Okubo; Takuya Nanri (VISIGRAPP (2): VISAPP, 2025)

Visual Explanation With Action Query Transformer in Deep Reinforcement Learning and Visual Feedback via Augmented Reality. - Hidenori Itaya; Wantao Yin; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi; Komei Sugiura (IEEE Access, 2025)

Optimizing Knowledge Transfer Graph for Deep Collaborative Learning. - Soma Minami; Naoki Okamoto; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IEEE Access, 2025)

Distilling Diverse Knowledge for Deep Ensemble Learning. - Naoki Okamoto; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IEEE Access, 2025)

Learning Frequency-Aware Spatial Attention by Reconstructing Images With Different Frequency Responses. - Keisuke Sano; Tsubasa Hirakawa; Takayoshi Yamashita; Hironobu Fujiyoshi (IEEE Access, 2025)