Tsubasa Hirakawa

122 papers A* 3A 2B 12C 9Misc 4Journal 46Unranked 46

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Modular Framework for Automated Hypothesis Validation and Refinement in Scientific Research. Inf. Chenhao Chen, Taiga Masuda, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2026	—	`conf`	Adaptive IG-ODAM: Efficient Attribution Maps for Object Detection via Spatial-Guided Sampling. VISAPP (2) Yuma Nakai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2026	—	`conf`	Frequency-Domain Detection of AI-Generated Images via Radial Spectrum Templates. VISAPP (1) Yuta Sato, Takayoshi Yamashita, Hironobu Fujiyoshi, Tsubasa Hirakawa
2026	J	`jnl`	SunnyParking: Multi-Shot Trajectory Generation and Motion State Awareness for Human-like Parking. CoRR Jishu Miao, Han Chen, Jiankun Zhai, Qi Liu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2025	—	`conf`	2D Motion Generation Using Joint Spatial Information with 2CM-GPT. VISIGRAPP (2): VISAPP Ryota Inoue, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2025	—	`conf`	CRNLI: A Textual Entailment Dataset in the Chemistry Domain. TSD (2) Chenhao Chen, Taiga Masuda, Yoshitaka Ushiku, Shohei Tanaka, Kuniaki Saito, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2025	J	`jnl`	Distilling Diverse Knowledge for Deep Ensemble Learning. IEEE Access Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2025	—	`conf`	Enhancing Navigation Text Generation and Visual Explanation Using Spatio-Temporal Scene Graphs with Graph Attention Networks. ITSC Hayato Suzuki, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2025	Misc	`conf`	IG-ODAM: Instance-Aware Visual Explanations for Object Detection with Integrated Gradients. MVA Yuma Nakai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2025	J	`jnl`	Learning Frequency-Aware Spatial Attention by Reconstructing Images With Different Frequency Responses. IEEE Access Keisuke Sano, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2025	J	`jnl`	Optimizing Knowledge Transfer Graph for Deep Collaborative Learning. IEEE Access Soma Minami, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2025	—	`conf`	VLLM Guided Human-Like Guidance Navigation Generation. VISIGRAPP (2): VISAPP Masaki Nambata, Tsubasa Hirakawa, Takayoshi Yamashita, Hirobobu Fujiyoshi, Takehito Teraguchi, Shota Okubo, Takuya Nanri
2025	J	`jnl`	Visual Explanation With Action Query Transformer in Deep Reinforcement Learning and Visual Feedback via Augmented Reality. IEEE Access Hidenori Itaya, Wantao Yin, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
2024	B	`conf`	Binary-Decomposed Vision Transformer: Compressing and Accelerating Vision Transformer by Binary Decomposition. ICIP Ryota Kondo, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2024	J	`jnl`	Caption-Guided Interpretable Video Anomaly Detection Based on Memory Similarity. IEEE Access Yuzhi Shi, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger
2024	J	`jnl`	Challenges and implications of predicting the spatiotemporal distribution of dengue fever outbreak in Chinese Taiwan using remote sensing data and deep learning. Geo spatial Inf. Sci. Sumiko Anno, Tsubasa Hirakawa, Satoru Sugita, Shinya Yasumoto, Ming-An Lee, Yoshinobu Sasaki, Kei Oyoshi
2024	—	`conf`	Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection. VISIGRAPP (2): VISAPP Shinichi Hoketsu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2024	—	`conf`	DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention. ACCV (10) NguyenHuu BaoLong, Chenyu Zhang, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Tohgoroh Matsui, Hironobu Fujiyoshi
2024	J	`jnl`	DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention. CoRR Nguyen Huu Bao Long, Chenyu Zhang, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Tohgoroh Matsui, Hironobu Fujiyoshi
2024	—	`conf`	Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning. VISIGRAPP (2): VISAPP Naoto Hayashi, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2024	J	`jnl`	Efficient Action Spotting Using Saliency Feature Weighting. IEICE Trans. Inf. Syst. Yuzhi Shi, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger
2024	B	`conf`	Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights. EDM Masaki Koike, Hirokazu Kohama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2024	—	`conf`	Faster Convergence and Uncorrelated Gradients in Self-Supervised Online Continual Learning. ACCV (8) Koyo Imai, Naoto Hayashi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2024	C	`conf`	High-Precision for Multi-Task Learning from In-Vehicle Camera using BiFPN. IV Chenyu Zhang, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2024	C	`conf`	Human-like Guidance by Generating Navigation Using Spatial-Temporal Scene Graph. IV Hayato Suzuki, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Shota Okubo, Nanri Takuya, Wang Siyuan
2024	—	`conf`	Larval Hostplant Prediction from Luehdorfia japonica Image Using Multi-label ABN. ECCV Workshops (2) Tsubasa Hirakawa, Takaaki Arai, Takayoshi Yamashita, Hironobu Fujiyoshi, Yuichi Oba, Hiromichi Fukui, Masaya Yago
2024	—	`conf`	Layer-Wise Relevance Propagation with Conservation Property for ResNet. ECCV (43) Seitaro Otsuki, Tsumugi Iida, Félix Doublet, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
2024	J	`jnl`	Layer-Wise Relevance Propagation with Conservation Property for ResNet. CoRR Seitaro Otsuki, Tsumugi Iida, Félix Doublet, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
2024	J	`jnl`	Mask-Attention A3C: Visual Explanation of Action-State Value in Deep Reinforcement Learning. IEEE Access Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
2024	J	`jnl`	Nearest Neighbor Future Captioning: Generating Descriptions for Possible Collisions in Object Placement Tasks. CoRR Takumi Komatsu, Motonari Kambara, Shumpei Hatanaka, Haruka Matsuo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
2024	J	`jnl`	Nearest neighbor future captioning: generating descriptions for possible collisions in object placement tasks. Adv. Robotics Takumi Komatsu, Motonari Kambara, Shumpei Hatanaka, Haruka Matsuo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
2024	—	`conf`	Potential Risk Localization via Weak Labeling out of Blind Spot. CVPR Workshops Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2024	—	`conf`	Prompt Learning with One-Shot Setting based Feature Space Analysis in Vision-and-Language Models. CVPR Workshops Yuki Hirohashi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	—	`conf`	1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention. VISIGRAPP (5: VISAPP) Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	J	`jnl`	Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query. CoRR Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
2023	B	`conf`	Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning. IJCNN Tenshi Ito, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	J	`jnl`	Automatic data collection for object detection and grasp-position estimation with mobile robots and invisible markers. Adv. Robotics Suraj Prakash Pattar, Thomas Killus, Tsubasa Hirakawa, Takayoshi Yamashita, Tetsuya Sawanobori, Hironobu Fujiyoshi
2023	—	`conf`	Complement Objective Mining Branch for Optimizing Attention Map. VISIGRAPP (4: VISAPP) Takaaki Iwayoshi, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	—	`conf`	Detecting Data Drift with KS Test Using Attention Map. ACPR (1) Tsunemi Nitta, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	A	`conf`	Embedding Human Knowledge into Spatio-Temproal Attention Branch Network in Video Recognition via Temporal attention. BMVC Saki Noguchi, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	—	`conf`	Human-like Guidance with Gaze Estimation and Classification-based Text Generation. ITSC Masaki Nambata, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	—	`conf`	Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher. AIED (Posters/Late Breaking Results/...) Kohei Hattori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	J	`jnl`	Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher. CoRR Kohei Hattori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	—	`conf`	Masking and Mixing Adversarial Training. VISIGRAPP (4: VISAPP) Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka
2023	J	`jnl`	Masking and Mixing Adversarial Training. CoRR Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka
2023	J	`jnl`	Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition. IEICE Trans. Inf. Syst. Tomoya Nitta, Tsubasa Hirakawa, Hironobu Fujiyoshi, Toru Tamaki
2023	C	`conf`	Recommending Learning Actions Using Neural Network. ICCE Hirokazu Kohama, Yuki Ban, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Akitoshi Itai, Hiroyasu Usami
2023	—	`conf`	Single-Shot Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning. ICCV (Workshops) Hirokazu Kohama, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	A*	`conf`	This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers. ICLR Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	J	`jnl`	Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric. IEEE Access Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	—	`conf`	Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer. VISIGRAPP (5: VISAPP) Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	J	`jnl`	Utilizing Human Social Norms for Multimodal Trajectory Forecasting via Group-Based Forecasting Module. IEEE Trans. Intell. Veh. Hiroaki Minoura, Tsubasa Hirakawa, Yusuke Sugano, Takayoshi Yamashita, Hironobu Fujiyoshi
2023	B	`conf`	Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. IJCNN Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2022	B	`conf`	Action Spotting in Soccer Videos Using Multiple Scene Encoders. ICPR Yuzhi Shi, Hiroaki Minoura, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger
2022	B	`conf`	Class-Wise FM-NMS for Knowledge Distillation of Object Detection. ICIP Lyuzhuang Liu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2022	J	`jnl`	Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes. CoRR Shungo Fujii, Yasunori Ishii, Kazuki Kozuka, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2022	—	`conf`	Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification. ECCV (11) Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2022	C	`conf`	Forest-Related SDG Issues Monitoring for Data-Scarce Regions Employing Machine Learning and Remote Sensing - A Case Study for Ena City, Japan. IGARSS Anh Phan, Kiyoshi Takejima, Tsubasa Hirakawa, Hiromichi Fukui
2022	J	`jnl`	MT-DSSD: multi-task deconvolutional single shot detector for object detection, segmentation, and grasping detection. Adv. Robotics Ryosuke Araki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2022	J	`jnl`	Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition. CoRR Tomoya Nitta, Tsubasa Hirakawa, Hironobu Fujiyoshi, Toru Tamaki
2022	B	`conf`	Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning. ICPR Sachi Iwata, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2022	J	`jnl`	Single Suction Grasp Detection for Symmetric Objects Using Shallow Networks Trained with Synthetic Data. IEICE Trans. Inf. Syst. Suraj Prakash Pattar, Tsubasa Hirakawa, Takayoshi Yamashita, Tetsuya Sawanobori, Hironobu Fujiyoshi
2022	C	`conf`	Solving the Deadlock Problem with Deep Reinforcement Learning Using Information from Multiple Vehicles. IV Tsuyoshi Goto, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2022	—	`conf`	Visual Explanation Generation Based on Lambda Attention Branch Networks. ACCV (2) Tsumugi Iida, Takumi Komatsu, Kanta Kaneda, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
2022	J	`jnl`	Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch. CoRR Yuya Maruyama, Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
2021	—	`conf`	1D Self-Attention Network for Point Cloud Semantic Segmentation Using Omnidirectional LiDAR. ACPR (1) Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	—	`conf`	3D Object Detection with Normal-map on Point Clouds. VISIGRAPP (5: VISAPP) Jishu Miao, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	Misc	`conf`	Action Spotting and Temporal Attention Analysis in Soccer Videos. MVA Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger
2021	Misc	`conf`	Attention Mining Branch for Optimizing Attention Map. MVA Takaaki Iwayoshi, Masahiro Mitsuhara, Masayuki Takada, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	—	`conf`	Collaborative Learning of Generative Adversarial Networks. VISIGRAPP (5: VISAPP) Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	J	`jnl`	Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification. CoRR Naoki Okamoto, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	—	`conf`	Embedding Human Knowledge into Deep Neural Network via Attention Map. VISIGRAPP (5: VISAPP) Masahiro Mitsuhara, Hiroshi Fukui, Yusuke Sakashita, Takanori Ogata, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	C	`conf`	Image Captioning for Near-Future Events from Vehicle Camera Images and Motion Information. IV Yuki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	A	`conf`	Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation. IROS Ryosuke Araki, Kohsuke Mano, Tadanori Hirano, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	—	`conf`	Multi-Domain Semantic-Segmentation using Multi-Head Model. ITSC Shota Masaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	J	`jnl`	Normalization of VIIRS DNB images for improved estimation of socioeconomic indicators. Int. J. Digit. Earth Chuc Man Duc, Tsubasa Hirakawa, Hiromichi Fukui
2021	J	`jnl`	Predicting and Attending to Damaging Collisions for Placing Everyday Objects in Photo-Realistic Simulations. CoRR Aly Magassouba, Komei Sugiura, Angelica Nakayama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai
2021	J	`jnl`	Predicting and attending to damaging collisions for placing everyday objects in photo-realistic simulations. Adv. Robotics Aly Magassouba, Komei Sugiura, Angelica Nakayama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai
2021	Misc	`conf`	Relational Subgraph for Graph-based Path Prediction. MVA Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	J	`jnl`	ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition. CoRR Masahiro Mitsuhara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	B	`conf`	Semantic Segmentation And Change Detection By Multi-Task U-Net. ICIP Shungo Tsutsui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	—	`conf`	Super-Class Mixup for Adjusting Training Data. ACPR (2) Shungo Fujii, Naoki Okamoto, Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2021	B	`conf`	Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. IJCNN Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
2021	J	`jnl`	Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. CoRR Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
2020	—	`conf`	Acquisition of Optimal Connection Patterns for Skeleton-based Action Recognition with Graph Convolutional Networks. VISIGRAPP (5: VISAPP) Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2020	J	`jnl`	Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network. CoRR Tadashi Ogura, Aly Magassouba, Komei Sugiura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai
2020	J	`jnl`	Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network. IEEE Robotics Autom. Lett. Tadashi Ogura, Aly Magassouba, Komei Sugiura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai
2020	C	`conf`	Correction of Seasonal Effects on VIIRS DNB Monthly Composites by Using Stable Lit Data and Regression Convolutional Neural Network. IGARSS Chuc Man Duc, Tsubasa Hirakawa, Hiromichi Fukui
2020	B	`conf`	Improving reliability of attention branch network by introducing uncertainty. ICPR Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2020	—	`conf`	Knowledge Transfer Graph for Deep Collaborative Learning. ACCV (4) Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2020	A*	`conf`	MT-DSSD: Deconvolutional Single Shot Detector Using Multi Task Learning for Object Detection, Segmentation, and Grasping Detection. ICRA Ryosuke Araki, Takeshi Onishi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2020	—	`conf`	Simultaneous Visual Context-aware Path Prediction. VISIGRAPP (4: VISAPP) Haruka Iesaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka, Ryota Fujimura
2020	—	`conf`	Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition. ACCV (5) Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2020	C	`conf`	Video Object Detection and Tracking based on Angle Consistency between Motion and Flow. IV Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2019	A*	`conf`	Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. CVPR Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2019	—	`conf`	Attention Neural Baby Talk: Captioning of Risk Factors while Driving. ITSC Yuki Mori, Hiroshi Fukui, Tsubasa Hirakawa, Jo Nishiyama, Takayoshi Yamashita, Hironobu Fujiyoshi
2019	—	`conf`	Automatic Creation of Path Information on Digital Map. ITSC Haruka Iesaki, Shuhei Naruse, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2019	—	`conf`	Coarse-to-Fine Deep Orientation Estimator for Local Image Matching. ACPR (1) Yasuaki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2019	J	`jnl`	Embedding Human Knowledge in Deep Neural Network via Attention Map. CoRR Masahiro Mitsuhara, Hiroshi Fukui, Yusuke Sakashita, Takanori Ogata, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2019	J	`jnl`	Improved Activity Forecasting for Generating Trajectories. CoRR Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Ken Yoda
2019	J	`jnl`	Knowledge Transfer Graph for Deep Collaborative Learning. CoRR Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2019	—	`conf`	Path Predictions using Object Attributes and Semantic Environment. VISIGRAPP (5: VISAPP) Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2019	—	`conf`	Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning. PerCom Workshops Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2019	—	`conf`	Trajectories Prediction of the Black-Tailed Gull Using the Inverse Reinforcement Learning. PerCom Workshops Kanon Takemura, Tsubasa Hirakawa, Yuichi Mizutani, Hirokazu Suzuki, Michi Tsuruya, Ken Yoda
2019	C	`conf`	Visual Explanation by Attention Branch Network for End-to-end Learning-based Self-driving. IV Keisuke Mori, Hiroshi Fukui, Takuya Murase, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2018	J	`jnl`	Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. CoRR Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
2018	—	`conf`	Survey on Vision-Based Path Prediction. HCI (22) Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi
2018	J	`jnl`	Survey on Vision-based Path Prediction. CoRR Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi
2017	—	`conf`	Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction. ACPR Tsubasa Hirakawa, Takayoshi Yamashita, Ken Yoda, Toru Tamaki, Hironobu Fujiyoshi
2017	J	`jnl`	Tree-Wise Discriminative Subtree Selection for Texture Image Labeling. IEEE Access Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Chaohui Wang, Laurent Najman
2016	J	`jnl`	Computer-Aided Colorectal Tumor Classification in NBI Endoscopy Using CNN Features. CoRR Toru Tamaki, Shoji Sonoyama, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka
2016	J	`jnl`	Corrigendum to "Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition" [Artif. Intell. Med. 68 (March 2016) 1-16]. Artif. Intell. Medicine Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Yoko Kominami, Shinji Tanaka
2016	J	`jnl`	Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition. Artif. Intell. Medicine Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Yoko Kominami, Shinji Tanaka
2016	J	`jnl`	Development of a Real-time Colorectal Tumor Classification System for Narrow-band Imaging zoom-videoendoscopy. CoRR Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka
2016	—	`conf`	Discriminative Subtree Selection for NBI Endoscopic Image Labeling. ACCV Workshops (2) Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Chaohui Wang, Laurent Najman, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka
2016	J	`jnl`	Domain Adaptation with L2 constraints for classifying images from different endoscope systems. CoRR Toru Tamaki, Shoji Sonoyama, Takio Kurita, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka, Kazuaki Chayama
2016	J	`jnl`	Transfer Learning for Endoscopic Image Classification. CoRR Shoji Sonoyama, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka
2015	B	`conf`	Trade-off between speed and performance for colorectal endoscopic NBI image classification. Image Processing Shoji Sonoyama, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Shigeto Yoshida, Shinji Tanaka
2015	—	`conf`	Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification. EMBC Shoji Sonoyama, Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Yoko Kominami, Shinji Tanaka
2014	—	`conf`	SVM-MRF segmentation of colorectal NBI endoscopic images. EMBC Tsubasa Hirakawa, Tom Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Shigeto Yoshida, Shinji Tanaka
2013	—	`conf`	Labeling colorectal NBI zoom-videoendoscope image sequences with MRF and SVM. EMBC Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeta Yoshida, Yoko Kominami, Taiji Matsuo, Rie Miyaki, Shinji Tanaka
2013	B	`conf`	Smoothing posterior probabilities with a particle filter of dirichlet distribution for stabilizing colorectal NBI endoscopy recognition. ICIP Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka