Tsubasa Hirakawa

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 94

Top Topics

Object Detection

Reinforcement Learning

Human Knowledge

Endoscopic Video

Top Venues

VISIGRAPP (5: VISAPP)

Publications

Yuzhi Shi, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger
Efficient Action Spotting Using Saliency Feature Weighting. IEICE Trans. Inf. Syst. 107 (1) (2024)
Naoto Hayashi, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning. VISIGRAPP (2): VISAPP (2024)
Hayato Suzuki, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Shota Okubo, Nanri Takuya, Wang Siyuan
Human-like Guidance by Generating Navigation Using Spatial-Temporal Scene Graph. IV (2024)
Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
Mask-Attention A3C: Visual Explanation of Action-State Value in Deep Reinforcement Learning. IEEE Access 12 (2024)
Seitaro Otsuki, Tsumugi Iida, Félix Doublet, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
Layer-Wise Relevance Propagation with Conservation Property for ResNet. CoRR (2024)
Takumi Komatsu, Motonari Kambara, Shumpei Hatanaka, Haruka Matsuo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
Nearest Neighbor Future Captioning: Generating Descriptions for Possible Collisions in Object Placement Tasks. CoRR (2024)
Shinichi Hoketsu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection. VISIGRAPP (2): VISAPP (2024)
Chenyu Zhang, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
High-Precision for Multi-Task Learning from In-Vehicle Camera using BiFPN. IV (2024)
Yuzhi Shi, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger
Caption-Guided Interpretable Video Anomaly Detection Based on Memory Similarity. IEEE Access 12 (2024)
Hirokazu Kohama, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Single-Shot Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning. ICCV (Workshops) (2023)
Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka
Masking and Mixing Adversarial Training. VISIGRAPP (4: VISAPP) (2023)
Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka
Masking and Mixing Adversarial Training. CoRR (2023)
Tenshi Ito, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning. IJCNN (2023)
Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. IJCNN (2023)
Masaki Nambata, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Human-like Guidance with Gaze Estimation and Classification-based Text Generation. ITSC (2023)
Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
Action Q-Transformer: Visual Explanation in Deep Reinforcement Learning with Encoder-Decoder Model using Action Query. CoRR (2023)
Kohei Hattori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher. AIED (Posters/Late Breaking Results/...) (2023)
Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers. ICLR (2023)
Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention. VISIGRAPP (5: VISAPP) (2023)
Tomoya Nitta, Tsubasa Hirakawa, Hironobu Fujiyoshi, Toru Tamaki
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition. IEICE Trans. Inf. Syst. 106 (3) (2023)
Saki Noguchi, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Embedding Human Knowledge into Spatio-Temproal Attention Branch Network in Video Recognition via Temporal attention. BMVC (2023)
Tsunemi Nitta, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Detecting Data Drift with KS Test Using Attention Map. ACPR (1) (2023)
Kohei Hattori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Learning from AI: An Interactive Learning Method Using a DNN Model Incorporating Expert Knowledge as a Teacher. CoRR (2023)
Hiroaki Minoura, Tsubasa Hirakawa, Yusuke Sugano, Takayoshi Yamashita, Hironobu Fujiyoshi
Utilizing Human Social Norms for Multimodal Trajectory Forecasting via Group-Based Forecasting Module. IEEE Trans. Intell. Veh. 8 (1) (2023)
Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer. VISIGRAPP (5: VISAPP) (2023)
Suraj Prakash Pattar, Thomas Killus, Tsubasa Hirakawa, Takayoshi Yamashita, Tetsuya Sawanobori, Hironobu Fujiyoshi
Automatic data collection for object detection and grasp-position estimation with mobile robots and invisible markers. Adv. Robotics 37 (4) (2023)
Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric. IEEE Access 11 (2023)
Takaaki Iwayoshi, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Complement Objective Mining Branch for Optimizing Attention Map. VISIGRAPP (4: VISAPP) (2023)
Sachi Iwata, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning. ICPR (2022)
Yuzhi Shi, Hiroaki Minoura, Takayoshi Yamashita, Tsubasa Hirakawa, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger
Action Spotting in Soccer Videos Using Multiple Scene Encoders. ICPR (2022)
Ryosuke Araki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
MT-DSSD: multi-task deconvolutional single shot detector for object detection, segmentation, and grasping detection. Adv. Robotics 36 (8) (2022)
Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification. ECCV (11) (2022)
Tsumugi Iida, Takumi Komatsu, Kanta Kaneda, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
Visual Explanation Generation Based on Lambda Attention Branch Networks. ACCV (2) (2022)
Tsuyoshi Goto, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Solving the Deadlock Problem with Deep Reinforcement Learning Using Information from Multiple Vehicles. IV (2022)
Lyuzhuang Liu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Class-Wise FM-NMS for Knowledge Distillation of Object Detection. ICIP (2022)
Suraj Prakash Pattar, Tsubasa Hirakawa, Takayoshi Yamashita, Tetsuya Sawanobori, Hironobu Fujiyoshi
Single Suction Grasp Detection for Symmetric Objects Using Shallow Networks Trained with Synthetic Data. IEICE Trans. Inf. Syst. (9) (2022)
Yuya Maruyama, Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
Visual Explanation of Deep Q-Network for Robot Navigation by Fine-tuning Attention Branch. CoRR (2022)
Shungo Fujii, Yasunori Ishii, Kazuki Kozuka, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes. CoRR (2022)
Anh Phan, Kiyoshi Takejima, Tsubasa Hirakawa, Hiromichi Fukui
Forest-Related SDG Issues Monitoring for Data-Scarce Regions Employing Machine Learning and Remote Sensing - A Case Study for Ena City, Japan. IGARSS (2022)
Tomoya Nitta, Tsubasa Hirakawa, Hironobu Fujiyoshi, Toru Tamaki
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition. CoRR (2022)
Takaaki Iwayoshi, Masahiro Mitsuhara, Masayuki Takada, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Attention Mining Branch for Optimizing Attention Map. MVA (2021)
Masahiro Mitsuhara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition. CoRR (2021)
Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. IJCNN (2021)
Yuki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Image Captioning for Near-Future Events from Vehicle Camera Images and Motion Information. IV (2021)
Aly Magassouba, Komei Sugiura, Angelica Nakayama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai
Predicting and Attending to Damaging Collisions for Placing Everyday Objects in Photo-Realistic Simulations. CoRR (2021)
Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Relational Subgraph for Graph-based Path Prediction. MVA (2021)
Shungo Tsutsui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Semantic Segmentation And Change Detection By Multi-Task U-Net. ICIP (2021)
Shota Masaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Multi-Domain Semantic-Segmentation using Multi-Head Model. ITSC (2021)
Shungo Fujii, Naoki Okamoto, Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Super-Class Mixup for Adjusting Training Data. ACPR (2) (2021)
Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger
Action Spotting and Temporal Attention Analysis in Soccer Videos. MVA (2021)
Jishu Miao, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
3D Object Detection with Normal-map on Point Clouds. VISIGRAPP (5: VISAPP) (2021)
Aly Magassouba, Komei Sugiura, Angelica Nakayama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai
Predicting and attending to damaging collisions for placing everyday objects in photo-realistic simulations. Adv. Robotics 35 (12) (2021)
Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Collaborative Learning of Generative Adversarial Networks. VISIGRAPP (5: VISAPP) (2021)
Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
1D Self-Attention Network for Point Cloud Semantic Segmentation Using Omnidirectional LiDAR. ACPR (1) (2021)
Chuc Man Duc, Tsubasa Hirakawa, Hiromichi Fukui
Normalization of VIIRS DNB images for improved estimation of socioeconomic indicators. Int. J. Digit. Earth 14 (5) (2021)
Naoki Okamoto, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Deep Ensemble Collaborative Learning by using Knowledge-transfer Graph for Fine-grained Object Classification. CoRR (2021)
Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. CoRR (2021)
Masahiro Mitsuhara, Hiroshi Fukui, Yusuke Sakashita, Takanori Ogata, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Embedding Human Knowledge into Deep Neural Network via Attention Map. VISIGRAPP (5: VISAPP) (2021)
Ryosuke Araki, Kohsuke Mano, Tadanori Hirano, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation. IROS (2021)
Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Video Object Detection and Tracking based on Angle Consistency between Motion and Flow. IV (2020)
Tadashi Ogura, Aly Magassouba, Komei Sugiura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai
Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network. CoRR (2020)
Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Knowledge Transfer Graph for Deep Collaborative Learning. ACCV (4) (2020)
Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Improving reliability of attention branch network by introducing uncertainty. ICPR (2020)
Chuc Man Duc, Tsubasa Hirakawa, Hiromichi Fukui
Correction of Seasonal Effects on VIIRS DNB Monthly Composites by Using Stable Lit Data and Regression Convolutional Neural Network. IGARSS (2020)
Ryosuke Araki, Takeshi Onishi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
MT-DSSD: Deconvolutional Single Shot Detector Using Multi Task Learning for Object Detection, Segmentation, and Grasping Detection. ICRA (2020)
Haruka Iesaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka, Ryota Fujimura
Simultaneous Visual Context-aware Path Prediction. VISIGRAPP (4: VISAPP) (2020)
Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Acquisition of Optimal Connection Patterns for Skeleton-based Action Recognition with Graph Convolutional Networks. VISIGRAPP (5: VISAPP) (2020)
Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition. ACCV (5) (2020)
Tadashi Ogura, Aly Magassouba, Komei Sugiura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Hisashi Kawai
Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network. IEEE Robotics Autom. Lett. 5 (4) (2020)
Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Path Predictions using Object Attributes and Semantic Environment. VISIGRAPP (5: VISAPP) (2019)
Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Knowledge Transfer Graph for Deep Collaborative Learning. CoRR (2019)
Yasuaki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Coarse-to-Fine Deep Orientation Estimator for Local Image Matching. ACPR (1) (2019)
Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Ken Yoda
Improved Activity Forecasting for Generating Trajectories. CoRR (2019)
Yuki Mori, Hiroshi Fukui, Tsubasa Hirakawa, Jo Nishiyama, Takayoshi Yamashita, Hironobu Fujiyoshi
Attention Neural Baby Talk: Captioning of Risk Factors while Driving. ITSC (2019)
Keisuke Mori, Hiroshi Fukui, Takuya Murase, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Visual Explanation by Attention Branch Network for End-to-end Learning-based Self-driving. IV (2019)
Haruka Iesaki, Shuhei Naruse, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Automatic Creation of Path Information on Digital Map. ITSC (2019)
Kanon Takemura, Tsubasa Hirakawa, Yuichi Mizutani, Hirokazu Suzuki, Michi Tsuruya, Ken Yoda
Trajectories Prediction of the Black-Tailed Gull Using the Inverse Reinforcement Learning. PerCom Workshops (2019)
Masahiro Mitsuhara, Hiroshi Fukui, Yusuke Sakashita, Takanori Ogata, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Embedding Human Knowledge in Deep Neural Network via Attention Map. CoRR (2019)
Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. CVPR (2019)
Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning. PerCom Workshops (2019)
Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi
Survey on Vision-based Path Prediction. CoRR (2018)
Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. CoRR (2018)
Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi
Survey on Vision-Based Path Prediction. HCI (22) (2018)
Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Chaohui Wang, Laurent Najman
Tree-Wise Discriminative Subtree Selection for Texture Image Labeling. IEEE Access 5 (2017)
Tsubasa Hirakawa, Takayoshi Yamashita, Ken Yoda, Toru Tamaki, Hironobu Fujiyoshi
Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction. ACPR (2017)
Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Chaohui Wang, Laurent Najman, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka
Discriminative Subtree Selection for NBI Endoscopic Image Labeling. ACCV Workshops (2) (2016)
Toru Tamaki, Shoji Sonoyama, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka
Computer-Aided Colorectal Tumor Classification in NBI Endoscopy Using CNN Features. CoRR (2016)
Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka
Development of a Real-time Colorectal Tumor Classification System for Narrow-band Imaging zoom-videoendoscopy. CoRR (2016)
Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Yoko Kominami, Shinji Tanaka
Corrigendum to "Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition" [Artif. Intell. Med. 68 (March 2016) 1-16]. Artif. Intell. Medicine 72 (2016)
Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Yoko Kominami, Shinji Tanaka
Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition. Artif. Intell. Medicine 68 (2016)
Toru Tamaki, Shoji Sonoyama, Takio Kurita, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka, Kazuaki Chayama
Domain Adaptation with L2 constraints for classifying images from different endoscope systems. CoRR (2016)
Shoji Sonoyama, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Hiroshi Mieno, Shinji Tanaka
Transfer Learning for Endoscopic Image Classification. CoRR (2016)
Shoji Sonoyama, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Shigeto Yoshida, Shinji Tanaka
Trade-off between speed and performance for colorectal endoscopic NBI image classification. Medical Imaging: Image Processing (2015)
Shoji Sonoyama, Tsubasa Hirakawa, Toru Tamaki, Takio Kurita, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeto Yoshida, Yoko Kominami, Shinji Tanaka
Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification. EMBC (2015)
Tsubasa Hirakawa, Tom Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Shigeto Yoshida, Shinji Tanaka
SVM-MRF segmentation of colorectal NBI endoscopic images. EMBC (2014)
Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Shigeta Yoshida, Yoko Kominami, Taiji Matsuo, Rie Miyaki, Shinji Tanaka
Labeling colorectal NBI zoom-videoendoscope image sequences with MRF and SVM. EMBC (2013)
Tsubasa Hirakawa, Toru Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Rie Miyaki, Taiji Matsuo, Shigeto Yoshida, Shinji Tanaka
Smoothing posterior probabilities with a particle filter of dirichlet distribution for stabilizing colorectal NBI endoscopy recognition. ICIP (2013)