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Tsubasa Hirakawa
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2020 – today
- 2024
- [j17]Yuzhi Shi
, Takayoshi Yamashita
Caption-Guided Interpretable Video Anomaly Detection Based on Memory Similarity. IEEE Access 12: 63995-64005 (2024) - [j16]Hidenori Itaya
Mask-Attention A3C: Visual Explanation of Action-State Value in Deep Reinforcement Learning. IEEE Access 12: 86553-86571 (2024) - [j15]Takumi Komatsu
Nearest neighbor future captioning: generating descriptions for possible collisions in object placement tasks. Adv. Robotics 38(18): 1265-1276 (2024) - [j14]Sumiko Anno
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. 27(4): 1155-1161 (2024) - [j13]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): 105-114 (2024) - [c64]Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Potential Risk Localization via Weak Labeling out of Blind Spot. CVPR Workshops 2024: 4504-4513 - [c63]Yuki Hirohashi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Prompt Learning with One-Shot Setting based Feature Space Analysis in Vision-and-Language Models. CVPR Workshops 2024: 7761-7770 - [c62]Seitaro Otsuki
Layer-Wise Relevance Propagation with Conservation Property for ResNet. ECCV (43) 2024: 349-364 - [c61]Masaki Koike, Hirokazu Kohama, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Enhancing the Accuracy of Predicting Students Grades in Open-Ended Questions through Adjustments to Attention Weights. EDM 2024 - [c60]Chenyu Zhang, Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
High-Precision for Multi-Task Learning from In-Vehicle Camera using BiFPN. IV 2024: 1302-1307 - [c59]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: 1988-1995 - [c58]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: 417-424 - [c57]Naoto Hayashi, Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Diverse Data Selection Considering Data Distribution for Unsupervised Continual Learning. VISIGRAPP (2): VISAPP 2024: 528-535 - [i22]Seitaro Otsuki, Tsumugi Iida, Félix Doublet, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura:
Layer-Wise Relevance Propagation with Conservation Property for ResNet. CoRR abs/2407.09115 (2024) - [i21]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 abs/2407.13186 (2024) - 2023
- [j12]Yuki Ukai
Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric. IEEE Access 11: 62986-62997 (2023) - [j11]Suraj Prakash Pattar
Automatic data collection for object detection and grasp-position estimation with mobile robots and invisible markers. Adv. Robotics 37(4): 241-256 (2023) - [j10]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): 391-400 (2023) - [j9]Hiroaki Minoura
Utilizing Human Social Norms for Multimodal Trajectory Forecasting via Group-Based Forecasting Module. IEEE Trans. Intell. Veh. 8(1): 836-850 (2023) - [c56]Tsunemi Nitta, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Detecting Data Drift with KS Test Using Attention Map. ACPR (1) 2023: 68-80 - [c55]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: 435-446 - [c54]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: 207-213 - [c53]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: 1425-1434 - [c52]Yuki Ukai
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers. ICLR 2023 - [c51]Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-7 - [c50]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: 1-8 - [c49]Masaki Nambata, Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Human-like Guidance with Gaze Estimation and Classification-based Text Generation. ITSC 2023: 3122-3128 - [c48]Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka:
Masking and Mixing Adversarial Training. VISIGRAPP (4: VISAPP) 2023: 74-82 - [c47]Takaaki Iwayoshi, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Complement Objective Mining Branch for Optimizing Attention Map. VISIGRAPP (4: VISAPP) 2023: 105-113 - [c46]Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Understanding of Feature Representation in Convolutional Neural Networks and Vision Transformer. VISIGRAPP (5: VISAPP) 2023: 429-436 - [c45]Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
1D-SalsaSAN: Semantic Segmentation of LiDAR Point Cloud with Self-Attention. VISIGRAPP (5: VISAPP) 2023: 445-452 - [i20]Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka:
Masking and Mixing Adversarial Training. CoRR abs/2302.08066 (2023) - [i19]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 abs/2306.02257 (2023) - [i18]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 abs/2306.13879 (2023) - 2022
- [j8]Ryosuke Araki
MT-DSSD: multi-task deconvolutional single shot detector for object detection, segmentation, and grasping detection. Adv. Robotics 36(8): 373-387 (2022) - [j7]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. 105-D(9): 1600-1609 (2022) - [c44]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: 475-490 - [c43]Naoki Okamoto
Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification. ECCV (11) 2022: 502-518 - [c42]Lyuzhuang Liu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Class-Wise FM-NMS for Knowledge Distillation of Object Detection. ICIP 2022: 1641-1645 - [c41]Sachi Iwata, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning. ICPR 2022: 2371-2377 - [c40]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: 3183-3189 - [c39]Anh Phan
Forest-Related SDG Issues Monitoring for Data-Scarce Regions Employing Machine Learning and Remote Sensing - A Case Study for Ena City, Japan. IGARSS 2022: 4343-4346 - [c38]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: 1026-1032 - [i17]Tomoya Nitta, Tsubasa Hirakawa, Hironobu Fujiyoshi, Toru Tamaki:
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition. CoRR abs/2207.13306 (2022) - [i16]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 abs/2208.08613 (2022) - [i15]Shungo Fujii, Yasunori Ishii, Kazuki Kozuka, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Data Augmentation by Selecting Mixed Classes Considering Distance Between Classes. CoRR abs/2209.05122 (2022) - 2021
- [j6]Aly Magassouba
Predicting and attending to damaging collisions for placing everyday objects in photo-realistic simulations. Adv. Robotics 35(12): 787-799 (2021) - [j5]Chuc Man Duc
Normalization of VIIRS DNB images for improved estimation of socioeconomic indicators. Int. J. Digit. Earth 14(5): 540-554 (2021) - [c37]Shungo Fujii, Naoki Okamoto, Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Super-Class Mixup for Adjusting Training Data. ACPR (2) 2021: 45-58 - [c36]Takahiro Suzuki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
1D Self-Attention Network for Point Cloud Semantic Segmentation Using Omnidirectional LiDAR. ACPR (1) 2021: 257-270 - [c35]Shungo Tsutsui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Semantic Segmentation And Change Detection By Multi-Task U-Net. ICIP 2021: 619-623 - [c34]Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura:
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. IJCNN 2021: 1-10 - [c33]Ryosuke Araki
Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation. IROS 2021: 3587-3594 - [c32]Shota Masaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Multi-Domain Semantic-Segmentation using Multi-Head Model. ITSC 2021: 2802-2807 - [c31]Yuki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Image Captioning for Near-Future Events from Vehicle Camera Images and Motion Information. IV 2021: 1378-1384 - [c30]Takaaki Iwayoshi, Masahiro Mitsuhara, Masayuki Takada, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Attention Mining Branch for Optimizing Attention Map. MVA 2021: 1-5 - [c29]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: 1-6 - [c28]Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Relational Subgraph for Graph-based Path Prediction. MVA 2021: 1-5 - [c27]Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Collaborative Learning of Generative Adversarial Networks. VISIGRAPP (5: VISAPP) 2021: 492-499 - [c26]Jishu Miao, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
3D Object Detection with Normal-map on Point Clouds. VISIGRAPP (5: VISAPP) 2021: 569-576 - [c25]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: 626-636 - [i14]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 abs/2102.06507 (2021) - [i13]Hidenori Itaya, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura:
Visual Explanation using Attention Mechanism in Actor-Critic-based Deep Reinforcement Learning. CoRR abs/2103.04067 (2021) - [i12]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 abs/2103.14845 (2021) - [i11]Masahiro Mitsuhara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
ST-ABN: Visual Explanation Taking into Account Spatio-temporal Information for Video Recognition. CoRR abs/2110.15574 (2021) - 2020
- [j4]Tadashi Ogura
Alleviating the Burden of Labeling: Sentence Generation by Attention Branch Encoder-Decoder Network. IEEE Robotics Autom. Lett. 5(4): 5945-5952 (2020) - [c24]Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Knowledge Transfer Graph for Deep Collaborative Learning. ACCV (4) 2020: 203-217 - [c23]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: 341-357 - [c22]Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Improving reliability of attention branch network by introducing uncertainty. ICPR 2020: 1536-1542 - [c21]Ryosuke Araki
MT-DSSD: Deconvolutional Single Shot Detector Using Multi Task Learning for Object Detection, Segmentation, and Grasping Detection. ICRA 2020: 10487-10493 - [c20]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: 1508-1511 - [c19]Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Video Object Detection and Tracking based on Angle Consistency between Motion and Flow. IV 2020: 731-736 - [c18]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: 302-309 - [c17]Haruka Iesaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka, Ryota Fujimura:
Simultaneous Visual Context-aware Path Prediction. VISIGRAPP (4: VISAPP) 2020: 741-748 - [i10]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 abs/2007.04557 (2020)
2010 – 2019
- 2019
- [c16]Yasuaki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Coarse-to-Fine Deep Orientation Estimator for Local Image Matching. ACPR (1) 2019: 378-390 - [c15]Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. CVPR 2019: 10705-10714 - [c14]Haruka Iesaki, Shuhei Naruse, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Automatic Creation of Path Information on Digital Map. ITSC 2019: 3130-3135 - [c13]Yuki Mori, Hiroshi Fukui, Tsubasa Hirakawa, Jo Nishiyama, Takayoshi Yamashita, Hironobu Fujiyoshi:
Attention Neural Baby Talk: Captioning of Risk Factors while Driving. ITSC 2019: 4317-4322 - [c12]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: 1577-1582 - [c11]Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning. PerCom Workshops 2019: 608-613 - [c10]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: 715-717 - [c9]Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Path Predictions using Object Attributes and Semantic Environment. VISIGRAPP (5: VISAPP) 2019: 19-26 - [i9]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 abs/1905.03540 (2019) - [i8]Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Knowledge Transfer Graph for Deep Collaborative Learning. CoRR abs/1909.04286 (2019) - [i7]Daisuke Ogawa, Toru Tamaki, Tsubasa Hirakawa, Bisser Raytchev, Kazufumi Kaneda, Ken Yoda:
Improved Activity Forecasting for Generating Trajectories. CoRR abs/1912.05729 (2019) - 2018
- [c8]Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki
Survey on Vision-Based Path Prediction. HCI (22) 2018: 48-64 - [i6]Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi:
Survey on Vision-based Path Prediction. CoRR abs/1811.00233 (2018) - [i5]Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. CoRR abs/1812.10025 (2018) - 2017
- [j3]Tsubasa Hirakawa
Tree-Wise Discriminative Subtree Selection for Texture Image Labeling. IEEE Access 5: 13617-13634 (2017) - [c7]Tsubasa Hirakawa, Takayoshi Yamashita, Ken Yoda, Toru Tamaki
Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction. ACPR 2017: 430-435 - 2016
- [j2]Tsubasa Hirakawa, Toru Tamaki
Defocus-aware Dirichlet particle filter for stable endoscopic video frame recognition. Artif. Intell. Medicine 68: 1-16 (2016) - [j1]Tsubasa Hirakawa, Toru Tamaki
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: 83 (2016) - [c6]Tsubasa Hirakawa, Toru Tamaki
Discriminative Subtree Selection for NBI Endoscopic Image Labeling. ACCV Workshops (2) 2016: 610-624 - [i4]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 abs/1608.06709 (2016) - [i3]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 abs/1608.06713 (2016) - [i2]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 abs/1611.02443 (2016) - [i1]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 abs/1612.05000 (2016) - 2015
- [c5]Shoji Sonoyama, Tsubasa Hirakawa, Toru Tamaki
Transfer learning for Bag-of-Visual words approach to NBI endoscopic image classification. EMBC 2015: 785-788 - [c4]Shoji Sonoyama, Toru Tamaki
Trade-off between speed and performance for colorectal endoscopic NBI image classification. Medical Imaging: Image Processing 2015: 94132D - 2014
- [c3]Tsubasa Hirakawa, Tom Tamaki, Bisser Raytchev
SVM-MRF segmentation of colorectal NBI endoscopic images. EMBC 2014: 4739-4742 - 2013
- [c2]Tsubasa Hirakawa, Toru Tamaki
Labeling colorectal NBI zoom-videoendoscope image sequences with MRF and SVM. EMBC 2013: 4831-4834 - [c1]Tsubasa Hirakawa, Toru Tamaki
Smoothing posterior probabilities with a particle filter of dirichlet distribution for stabilizing colorectal NBI endoscopy recognition. ICIP 2013: 621-625
Coauthor Index
[j17] [j16] [j15] [j13] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [i22] [i21] [j12] [j11] [j10] [j9] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [i20] [i19] [i18] [j8] [j7] [c44] [c43] [c42] [c41] [c40] [c38] [i17] [i16] [i15] [j6] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i14] [i13] [i12] [i11] [j4] [c24] [c23] [c22] [c21] [c19] [c18] [c17] [i10] [c16] [c15] [c14] [c13] [c12] [c11] [c9] [i9] [i8] [c8] [i6] [i5] [c7]
[j17] [j16] [j15] [j13] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [i22] [i21] [j12] [j11] [j9] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [i20] [i19] [i18] [j8] [j7] [c44] [c43] [c42] [c41] [c40] [c38] [i16] [i15] [j6] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [i14] [i13] [i12] [i11] [j4] [c24] [c23] [c22] [c21] [c19] [c18] [c17] [i10] [c16] [c15] [c14] [c13] [c12] [c11] [c9] [i9] [i8] [c8] [i6] [i5] [c7]
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last updated on 2024-11-07 21:31 CET by the dblp team
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