Tsubasa Hirakawa

According to our database, Tsubasa Hirakawa authored at least 82 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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., January, 2024

Class Weighted Focal Loss for Improving Class Imbalance in Semi-Supervised Object Detection.

Shinichi Hoketsu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning.

Naoto Hayashi, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 19th International Joint Conference on Computer Vision, 2024

2023

Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition.

Tomoya Nitta, Tsubasa Hirakawa, Hironobu Fujiyoshi, Toru Tamaki

IEICE Trans. Inf. Syst., March, 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, February, 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., January, 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

Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric.

Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

IEEE Access, 2023

1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention.

Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer.

Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Complement Objective Mining Branch for Optimizing Attention Map.

Takaaki Iwayoshi, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Masking and Mixing Adversarial Training.

Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka

Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Human-like Guidance with Gaze Estimation and Classification-based Text Generation.

Masaki Nambata, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Analyzing the Accuracy, Representations, and Explainability of Various Loss Functions for Deep Learning.

Tenshi Ito, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the International Joint Conference on Neural Networks, 2023

Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning.

Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the International Joint Conference on Neural Networks, 2023

This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers.

Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Single-Shot Pruning for Pre-trained Models: Rethinking the Importance of Magnitude Pruning.

Hirokazu Kohama, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the 34th British Machine Vision Conference 2023, 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

Proceedings of the Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky, 2023

Detecting Data Drift with KS Test Using Attention Map.

Tsunemi Nitta, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Pattern Recognition - 7th Asian Conference, 2023

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., September, 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

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

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

Solving the Deadlock Problem with Deep Reinforcement Learning Using Information from Multiple Vehicles.

Tsuyoshi Goto, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning.

Sachi Iwata, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 26th International Conference on Pattern Recognition, 2022

Class-Wise FM-NMS for Knowledge Distillation of Object Detection.

Lyuzhuang Liu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification.

Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Computer Vision - ECCV 2022, 2022

Visual Explanation Generation Based on Lambda Attention Branch Networks.

Tsumugi Iida, Takumi Komatsu, Kanta Kaneda, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Normalization of VIIRS DNB images for improved estimation of socioeconomic indicators.

Chuc Man Duc, Tsubasa Hirakawa, Hiromichi Fukui

Int. J. Digit. Earth, 2021

ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition.

Masahiro Mitsuhara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

CoRR, 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

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

Collaborative Learning of Generative Adversarial Networks.

Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 16th International Joint Conference on Computer Vision, 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

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

3D Object Detection with Normal-map on Point Clouds.

Jishu Miao, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Relational Subgraph for Graph-based Path Prediction.

Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Action Spotting and Temporal Attention Analysis in Soccer Videos.

Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Attention Mining Branch for Optimizing Attention Map.

Takaaki Iwayoshi, Masahiro Mitsuhara, Masayuki Takada, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

Image Captioning for Near-Future Events from Vehicle Camera Images and Motion Information.

Yuki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE Intelligent Vehicles Symposium, 2021

Multi-Domain Semantic-Segmentation using Multi-Head Model.

Shota Masaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation.

Ryosuke Araki, Kohsuke Mano, Tadanori Hirano, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning.

Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura

Proceedings of the International Joint Conference on Neural Networks, 2021

Semantic Segmentation And Change Detection By Multi-Task U-Net.

Shungo Tsutsui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

1D Self-Attention Network for Point Cloud Semantic Segmentation Using Omnidirectional LiDAR.

Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

Super-Class Mixup for Adjusting Training Data.

Shungo Fujii, Naoki Okamoto, Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Pattern Recognition - 6th Asian Conference, 2021

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

Acquisition of Optimal Connection Patterns for Skeleton-based Action Recognition with Graph Convolutional Networks.

Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Simultaneous Visual Context-aware Path Prediction.

Haruka Iesaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka, Ryota Fujimura

Proceedings of the 15th International Joint Conference on Computer Vision, 2020

Video Object Detection and Tracking based on Angle Consistency between Motion and Flow.

Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE Intelligent Vehicles Symposium, 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

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 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

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Improving reliability of attention branch network by introducing uncertainty.

Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Spatial Temporal Attention Graph Convolutional Networks with Mechanics-Stream for Skeleton-Based Action Recognition.

Katsutoshi Shiraki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Knowledge Transfer Graph for Deep Collaborative Learning.

Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019

Improved Activity Forecasting for Generating Trajectories.

Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Ken Yoda

CoRR, 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

Path Predictions using Object Attributes and Semantic Environment.

Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 14th International Joint Conference on Computer Vision, 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

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 2019

Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning.

Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops, 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

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Attention Neural Baby Talk: Captioning of Risk Factors while Driving.

Yuki Mori, Hiroshi Fukui, Tsubasa Hirakawa, Jo Nishiyama, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Automatic Creation of Path Information on Digital Map.

Haruka Iesaki, Shuhei Naruse, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Attention Branch Network: Learning of Attention Mechanism for Visual Explanation.

Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Coarse-to-Fine Deep Orientation Estimator for Local Image Matching.

Yasuaki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

Proceedings of the Pattern Recognition - 5th Asian Conference, 2019

2018

Survey on Vision-Based Path Prediction.

Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi

Proceedings of the Distributed, Ambient and Pervasive Interactions: Technologies and Contexts, 2018

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

Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction.

Tsubasa Hirakawa, Takayoshi Yamashita, Ken Yoda, Toru Tamaki, Hironobu Fujiyoshi

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017

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

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

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

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

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

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

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

Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

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

Proceedings of the Medical Imaging 2015: Image Processing, 2015

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

Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014

SVM-MRF segmentation of colorectal NBI endoscopic images.

Tsubasa Hirakawa, Tom Tamaki, Bisser Raytchev, Kazufumi Kaneda, Tetsushi Koide, Yoko Kominami, Shigeto Yoshida, Shinji Tanaka

Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

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

Proceedings of the IEEE International Conference on Image Processing, 2013

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

Proceedings of the 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2013