default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDHironobu Fujiyoshi
Person information
SPARQL queries 
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j29]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: 63995-64005 (2024)- [j28]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: 86553-86571 (2024) - [j27]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. Adv. Robotics 38(18): 1265-1276 (2024) - [j26]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) - [c156]Koyo Imai, Naoto Hayashi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Faster Convergence and Uncorrelated Gradients in Self-Supervised Online Continual Learning. ACCV (8) 2024: 436-453 - [c155]NguyenHuu BaoLong, Chenyu Zhang, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Tohgoroh Matsui, Hironobu Fujiyoshi:
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention. ACCV (10) 2024: 445-462 - [c154]Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Potential Risk Localization via Weak Labeling out of Blind Spot. CVPR Workshops 2024: 4504-4513 - [c153]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 - [c152]Seitaro Otsuki, Tsumugi Iida, Félix Doublet, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Komei Sugiura:
Layer-Wise Relevance Propagation with Conservation Property for ResNet. ECCV (43) 2024: 349-364 - [c151]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 - [c150]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 - [c149]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 - [c148]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 - [c147]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 - [i20]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) - [i19]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) - [i18]Nguyen Huu Bao Long, Chenyu Zhang, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Tohgoroh Matsui, Hironobu Fujiyoshi:
DeBiFormer: Vision Transformer with Deformable Agent Bi-level Routing Attention. CoRR abs/2410.08582 (2024) - 2023
- [j25]Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric. IEEE Access 11: 62986-62997 (2023) - [j24]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): 241-256 (2023) - [j23]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) - [j22]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): 836-850 (2023) - [c146]Tsunemi Nitta, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Detecting Data Drift with KS Test Using Attention Map. ACPR (1) 2023: 68-80 - [c145]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 - [c144]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 - [c143]Hirokazu Kohama, Yuki Ban, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Akitoshi Itai, Hiroyasu Usami:
Recommending Learning Actions Using Neural Network. ICCE 2023 - [c142]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 - [c141]Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers. ICLR 2023 - [c140]Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-7 - [c139]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 - [c138]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 - [c137]Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka:
Masking and Mixing Adversarial Training. VISIGRAPP (4: VISAPP) 2023: 74-82 - [c136]Takaaki Iwayoshi, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Complement Objective Mining Branch for Optimizing Attention Map. VISIGRAPP (4: VISAPP) 2023: 105-113 - [c135]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 - [c134]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 - [c133]Kensuke Taguchi, Shogo Morita, Yusuke Hayashi, Wataru Imaeda, Hironobu Fujiyoshi:
Uncertainty-Aware Interactive LiDAR Sampling for Deep Depth Completion. WACV 2023: 3027-3035 - [i17]Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka:
Masking and Mixing Adversarial Training. CoRR abs/2302.08066 (2023) - [i16]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) - [i15]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
- [j21]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): 373-387 (2022) - [j20]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) - [c132]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 - [c131]Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Deep Ensemble Learning by Diverse Knowledge Distillation for Fine-Grained Object Classification. ECCV (11) 2022: 502-518 - [c130]Lyuzhuang Liu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Class-Wise FM-NMS for Knowledge Distillation of Object Detection. ICIP 2022: 1641-1645 - [c129]Sachi Iwata, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning. ICPR 2022: 2371-2377 - [c128]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 - [c127]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 - [i14]Tomoya Nitta, Tsubasa Hirakawa, Hironobu Fujiyoshi, Toru Tamaki:
Object-ABN: Learning to Generate Sharp Attention Maps for Action Recognition. CoRR abs/2207.13306 (2022) - [i13]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) - [i12]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
- [j19]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): 787-799 (2021) - [c126]Shungo Fujii, Naoki Okamoto, Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Super-Class Mixup for Adjusting Training Data. ACPR (2) 2021: 45-58 - [c125]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 - [c124]Shungo Tsutsui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Semantic Segmentation And Change Detection By Multi-Task U-Net. ICIP 2021: 619-623 - [c123]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 - [c122]Ryosuke Araki, Kohsuke Mano, Tadanori Hirano, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Iterative Coarse-to-Fine 6D-Pose Estimation Using Back-propagation. IROS 2021: 3587-3594 - [c121]Shota Masaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Multi-Domain Semantic-Segmentation using Multi-Head Model. ITSC 2021: 2802-2807 - [c120]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 - [c119]Takaaki Iwayoshi, Masahiro Mitsuhara, Masayuki Takada, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Attention Mining Branch for Optimizing Attention Map. MVA 2021: 1-5 - [c118]Jaechul Kim, Xiaoyan Dai, Yisan Hsieh, Hiroki Tanimoto, Hironobu Fujiyoshi:
Cut and paste curriculum learning with hard negative mining for point-of-sale systems. MVA 2021: 1-5 - [c117]Jaechul Kim, Kensuke Taguchi, Yusuke Hayashi, Jungo Miyazaki, Hironobu Fujiyoshi:
Facial landmark detection transfer learning for a specific user in driver status monitoring systems. MVA 2021: 1-5 - [c116]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 - [c115]Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Relational Subgraph for Graph-based Path Prediction. MVA 2021: 1-5 - [c114]Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Collaborative Learning of Generative Adversarial Networks. VISIGRAPP (5: VISAPP) 2021: 492-499 - [c113]Jishu Miao, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
3D Object Detection with Normal-map on Point Clouds. VISIGRAPP (5: VISAPP) 2021: 569-576 - [c112]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 - [i11]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) - [i10]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) - [i9]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) - [i8]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
- [j18]Kenta Nishiyuki, Jia-Yau Shiau, Shigenori Nagae, Tomohiro Yabuuchi, Koichi Kinoshita, Yuki Hasegawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Driver Drowsiness Estimation by Parallel Linked Time-Domain CNN with Novel Temporal Measures on Eye States. IEICE Trans. Inf. Syst. 103-D(6): 1276-1286 (2020) - [j17]Tokihiko Akita, Yuji Yamauchi, Hironobu Fujiyoshi:
Stereo Vision by Combination of Machine-Learning Techniques for Pedestrian Detection at Intersections Utilizing Surround-View Cameras. J. Robotics Mechatronics 32(3): 494-502 (2020) - [j16]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): 5945-5952 (2020) - [c111]Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Knowledge Transfer Graph for Deep Collaborative Learning. ACCV (4) 2020: 203-217 - [c110]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 - [c109]Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Improving reliability of attention branch network by introducing uncertainty. ICPR 2020: 1536-1542 - [c108]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: 10487-10493 - [c107]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 - [c106]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 - [c105]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 - [i7]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
- [c104]Yasuaki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Coarse-to-Fine Deep Orientation Estimator for Local Image Matching. ACPR (1) 2019: 378-390 - [c103]Masahiro Fujita, Yukiyasu Domae, Ryosuke Kawanishi, Gustavo Alfonso Garcia Ricardez, Kenta Kato, Koji Shiratsuchi, Rintaro Haraguchi, Ryosuke Araki, Hironobu Fujiyoshi, Shuichi Akizuki, Manabu Hashimoto, Albert J. Causo, Akio Noda, Haruhisa Okuda, Tsukasa Ogasawara:
Bin-picking Robot using a Multi-gripper Switching Strategy based on Object Sparseness. CASE 2019: 1540-1547 - [c102]Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. CVPR 2019: 10705-10714 - [c101]Takayoshi Yamashita, Maya Nakagawa, Hironobu Fujiyoshi, Yuji Haikawa:
Recognition of Listener's Nodding by LSTM Based on Movement of Facial Keypoints and Speech Intonation. HCI (34) 2019: 154-160 - [c100]Kousuke Mano, Takahiro Hasegawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yukiyasu Domae:
Fast and Precise Detection of Object Grasping Positions with Eigenvalue Templates. ICRA 2019: 4403-4409 - [c99]Yusuke Inagaki, Ryosuke Araki, Takayoshi Yamashita, Hironobu Fujiyoshi:
Detecting layered structures of partially occluded objects for bin picking. IROS 2019: 5786-5791 - [c98]Haruka Iesaki, Shuhei Naruse, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Automatic Creation of Path Information on Digital Map. ITSC 2019: 3130-3135 - [c97]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 - [c96]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 - [c95]Soma Minami, Takayoshi Yamashita, Hironobu Fujiyoshi:
Gradual Sampling Gate for Bidirectional Knowledge Distillation. MVA 2019: 1-6 - [c94]Kosuke Osumi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Domain Adaptation using a Gradient Reversal Layer with Instance Weighting. MVA 2019: 1-5 - [c93]Ryo Sobue, Mitsuru Nakazawa, Yeongnam Chae, Björn Stenger, Takayoshi Yamashita, Hironobu Fujiyoshi:
Cooking Video Summarization Guided By Matching with Step-By-Step Recipe Photos. MVA 2019: 1-6 - [c92]Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning. PerCom Workshops 2019: 608-613 - [c91]Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Path Predictions using Object Attributes and Semantic Environment. VISIGRAPP (5: VISAPP) 2019: 19-26 - [c90]Hiroki Adachi, Hiroshi Fukui, Takayoshi Yamashita, Hironobu Fujiyoshi:
Facial Image Generation by Generative Adversarial Networks using Weighted Conditions. VISIGRAPP (4: VISAPP) 2019: 139-145 - [c89]Ryo Matsui, Takayoshi Yamashita, Hironobu Fujiyoshi:
Simultaneous Estimation of Facial Landmark and Attributes with Separation Multi-task Networks. VISIGRAPP (5: VISAPP) 2019: 265-272 - [i6]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) - [i5]Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Knowledge Transfer Graph for Deep Collaborative Learning. CoRR abs/1909.04286 (2019) - 2018
- [j15]Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi, Hiroshi Murase:
Training of CNN with Heterogeneous Learning for Multiple Pedestrian Attributes Recognition Using Rarity Rate. IEICE Trans. Inf. Syst. 101-D(5): 1222-1231 (2018) - [c88]Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi:
Survey on Vision-Based Path Prediction. HCI (22) 2018: 48-64 - [c87]Takayoshi Yamashita, Hironori Furukawa, Hironobu Fujiyoshi:
Multiple Skip Connections of Dilated Convolution Network for Semantic Segmentation. ICIP 2018: 1593-1597 - [c86]Kohei Kawai, Takahiro Hasegawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Compactification of Affine Transformation Filter Using Tensor Decomposition. ICIP 2018: 2162-2166 - [c85]Fumito Shinmura, Yasutomo Kawanishi, Daisuke Deguchi, Takatsugu Hirayama, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi:
Estimation of Driver's Insight for Safe Passing based on Pedestrian Attributes. ITSC 2018: 1041-1046 - [c84]Tokihiko Akita, Yuji Yamauchi, Hironobu Fujiyoshi:
Machine Learning-based Stereo Vision Algorithm for Surround View Fisheye Cameras. ITSC 2018: 1103-1108 - [c83]Yuki Kunisada, Takayoshi Yamashita, Hironobu Fujiyoshi:
Pedestrian-Detection Method based on 1D-CNN during LiDAR Rotation. ITSC 2018: 2692-2697 - [i4]Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi:
Survey on Vision-based Path Prediction. CoRR abs/1811.00233 (2018) - [i3]Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. CoRR abs/1812.10025 (2018) - 2017
- [c82]Tsubasa Hirakawa, Takayoshi Yamashita, Ken Yoda, Toru Tamaki, Hironobu Fujiyoshi:
Travel Time-Dependent Maximum Entropy Inverse Reinforcement Learning for Seabird Trajectory Prediction. ACPR 2017: 430-435 - [c81]Takato Kurokawa, Yuji Yamauchi, Mitsuru Ambai, Takayoshi Yamashita, Hironobu Fujiyoshi:
Accelerating Computation of Exemplar-SVM by Binary Approximation based on Matrix Decomposition. BMVC 2017 - [c80]Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi:
Binary-Decomposed DCNN for Accelerating Computation and Compressing Model Without Retraining. ICCV Workshops 2017: 1095-1102 - [c79]Fumito Shinmura, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi:
Driver's decision analysis in terms of pedestrian attributes - A case study in passing by a pedestrian. ITSC 2017: 64-68 - [c78]Yukihiro Achiha, Takayoshi Yamashita, Mitsuru Nakazawa, Soh Masuko, Yuji Yamauchi, Hironobu Fujiyoshi:
Word Recognition by Combining Outline Emphasis and Synthesize Background. ICEC 2017: 492-496 - [i2]Ryuji Kamiya, Takayoshi Yamashita, Mitsuru Ambai, Ikuro Sato, Yuji Yamauchi, Hironobu Fujiyoshi:
Binary-decomposed DCNN for accelerating computation and compressing model without retraining. CoRR abs/1709.04731 (2017) - [i1]Masaya Hibino, Akisato Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
Denoising random forests. CoRR abs/1710.11004 (2017) - 2016
- [c77]Hiroshi Fukui, Takayoshi Yamashita, Yuu Kato, Ryo Matsui, Takanori Ogata, Yuji Yamauchi, Hironobu Fujiyoshi:
Multiple Facial Attributes Estimation Based on Weighted Heterogeneous Learning. ACCV Workshops (2) 2016: 392-406 - [c76]Fumito Shinmura, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi:
Recognition of Texting-While-Walking by Joint Features Based on Arm and Head Poses. ACCV Workshops (1) 2016: 452-462 - [c75]Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi:
Misclassification tolerable learning for robust pedestrian orientation classification. ICPR 2016: 486-491 - [c74]Takayoshi Yamashita, Hiroshi Fukui, Yuji Yamauchi, Hironobu Fujiyoshi:
Pedestrian and part position detection using a regression-based multiple task deep convolutional neural network. ICPR 2016: 3500-3505 - [c73]Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi, Hiroshi Murase:
Robust pedestrian attribute recognition for an unbalanced dataset using mini-batch training with rarity rate. Intelligent Vehicles Symposium 2016: 322-327 - [c72]Takahiro Hasegawa, Ryoji Tomizawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Guided Filtering using Reflected IR Image for Improving Quality of Depth Image. VISIGRAPP (3: VISAPP) 2016: 35-41 - 2015
- [j14]Yohei Mishina, Ryuei Murata, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Boosted Random Forest. IEICE Trans. Inf. Syst. 98-D(9): 1630-1636 (2015) - [j13]Yoshifumi Yazawa, Tsutomu Yoshimi, Teruyasu Tsuzuki, Tomomi Dohi, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
FPGA Hardware with Target-Reconfigurable Object Detector. IEICE Trans. Inf. Syst. 98-D(9): 1637-1645 (2015) - [j12]Takayoshi Yamashita, Takaya Nakamura, Hiroshi Fukui, Yuji Yamauchi, Hironobu Fujiyoshi:
Cost-alleviative Learning for Deep Convolutional Neural Network-based Facial Part Labeling. Inf. Media Technol. 10(3): 488-492 (2015) - [j11]Takayoshi Yamashita, Takaya Nakamura, Hiroshi Fukui, Yuji Yamauchi, Hironobu Fujiyoshi:
Cost-alleviative Learning for Deep Convolutional Neural Network-based Facial Part Labeling. IPSJ Trans. Comput. Vis. Appl. 7: 99-103 (2015) - [c71]Ryoji Wakayama, Ryuei Murata, Akisato Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
Distributed forests for MapReduce-based machine learning. ACPR 2015: 276-280 - [c70]Masamitsu Tsuchiya, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Transfer forest based on covariate shift. ACPR 2015: 760-764 - [c69]Ryuei Murata, Yohei Mishina, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Efficient feature selection method using contribution ratio by random forest. FCV 2015: 1-6 - [c68]Takahiro Hasegawa, Mitsuru Ambai, Kohta Ishikawa, Gou Koutaki, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Multiple-Hypothesis Affine Region Estimation with Anisotropic LoG Filters. ICCV 2015: 585-593 - [c67]Takayoshi Yamashita, Masayuki Tanaka, Yuji Yamauchi, Hironobu Fujiyoshi:
SWAP-NODE: A regularization approach for deep convolutional neural networks. ICIP 2015: 2475-2479 - [c66]Takayoshi Yamashita, Taro Watasue, Yuji Yamauchi, Hironobu Fujiyoshi:
Facial point detection using convolutional neural network transferred from a heterogeneous task. ICIP 2015: 2725-2729 - [c65]Masatoshi Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
Facial point detection based on a convolutional neural network with optimal mini-batch procedure. ICIP 2015: 2860-2864 - [c64]Masaya Kaneko, Takahiro Hasegawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi, Hiroshi Murase:
Fast 3D edge detection by using decision tree from depth image. IROS 2015: 1314-1319 - [c63]Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi:
Distant Pedestrian Re-detection from an In-vehicle Camera Based on Detections by Other Vehicles. ITSC 2015: 1215-1220 - [c62]Fumito Shinmura, Yasutomo Kawanishi, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi:
Pedestrian orientation classification utilizing single-chip coaxial RGB-ToF camera. Intelligent Vehicles Symposium 2015: 7-11 - [c61]Hiroshi Fukui, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi, Hiroshi Murase:
Pedestrian detection based on deep convolutional neural network with ensemble inference network. Intelligent Vehicles Symposium 2015: 223-228 - [c60]Yosuke Murai, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Weighted Hough Forest for object detection. MVA 2015: 122-125 - [c59]Takato Kurokawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Fast discrimination by early judgment using linear classifier. MVA 2015: 234-237 - [c58]Fumito Shinmura, Daisuke Deguchi, Ichiro Ide, Hiroshi Murase, Hironobu Fujiyoshi:
Estimation of Human Orientation using Coaxial RGB-Depth Images. VISAPP (2) 2015: 113-120 - [c57]Takayoshi Yamashita, Taro Watasue, Yuji Yamauchi, Hironobu Fujiyoshi:
Improving Quality of Training Samples Through Exhaustless Generation and Effective Selection for Deep Convolutional Neural Networks. VISAPP (2) 2015: 228-235 - [e1]Soon-Young Park, Hironobu Fujiyoshi, Kunihito Kato, Hongbin Zha, Chil-Woo Lee, Kang-Hyun Jo:
21st Korea-Japan Joint Workshop on Frontiers of Computer Vision, FCV 2015, Mokpo, South Korea, January 28-30, 2015. IEEE 2015, ISBN 978-1-4799-1720-4 [contents] - 2014
- [j10]Ryo Yumiba, Hironobu Fujiyoshi:
A Compensation Method of Motion Features with Regression for Deficient Depth Image. IPSJ Trans. Comput. Vis. Appl. 6: 103-110 (2014) - [c56]Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi, Takayoshi Yamashita:
Asymmetric Feature Representation for Object Recognition in Client Server System. ACCV (1) 2014: 598-612 - [c55]Takahiro Hasegawa, Yuji Yamauchi, Mitsuru Ambai, Yuichi Yoshida, Hironobu Fujiyoshi:
Keypoint detection by cascaded fast. ICIP 2014: 5676-5680 - [c54]Takayoshi Yamashita, Masayuki Tanaka, Eiji Yoshida, Yuji Yamauchi, Hironobu Fujiyoshi:
To Be Bernoulli or to Be Gaussian, for a Restricted Boltzmann Machine. ICPR 2014: 1520-1525 - [c53]Yohei Mishina, Masamitsu Tsuchiya, Hironobu Fujiyoshi:
Boosted Random Forest. VISAPP (2) 2014: 594-598 - 2013
- [j9]Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi:
Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching. Inf. Media Technol. 8(4): 1110-1114 (2013) - [j8]Yuji Yamauchi, Mitsuru Ambai, Ikuro Sato, Yuichi Yoshida, Hironobu Fujiyoshi:
Distance Computation Between Binary Code and Real Vector for Efficient Keypoint Matching. IPSJ Trans. Comput. Vis. Appl. 5: 124-128 (2013) - [c52]Masamitsu Tsuchiya, Yuji Yamauchi, Hironobu Fujiyoshi, Takayoshi Yamashita:
Hybrid Transfer Learning for Efficient Learning in Object Detection. ACPR 2013: 69-73 - [c51]Yuji Yamauchi, Takeo Kanade, Hironobu Fujiyoshi:
Classifier Introducing Transition Likelihood Model Based on Quantization Residual. ACPR 2013: 272-277 - [c50]Yuto Goto, Hironobu Fujiyoshi:
Recovering 3-D gaze scan path and scene structure from inside-out camera. AH 2013: 198-201 - [c49]Ryo Yumiba, Yoshiki Agata, Hironobu Fujiyoshi:
A Compensation Method of Motion Features with Regression for Deficient Depth Image. CVPR Workshops 2013: 558-565 - [c48]Yuhi Goto, Yuji Yamauchi, Hironobu Fujiyoshi:
CS-HOG: Color similarity-based HOG. FCV 2013: 266-271 - [c47]Takayoshi Yamashita, Hironobu Fujiyoshi:
Robust object tracking using a context based on the relation of object and background. ICASSP 2013: 1788-1792 - 2012
- [j7]Shoichi Shimizu, Hironobu Fujiyoshi:
Keypoint Recognition with Two-Stage Randomized Trees. IEICE Trans. Inf. Syst. 95-D(7): 1766-1774 (2012) - [j6]Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
A Single Framework for Action Recognition Based on Boosted Randomized Trees. Inf. Media Technol. 7(1): 230-241 (2012) - [c46]Sho Ikemura, Hironobu Fujiyoshi:
Human detection by Haar-like filtering using depth information. ICPR 2012: 813-816 - 2011
- [j5]Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
A Single Framework for Action Recognition Based on Boosted Randomized Trees. IPSJ Trans. Comput. Vis. Appl. 3: 160-171 (2011) - [c45]Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
Human detection for multiple pose by boosted randomized trees. ACPR 2011: 229-233 - [c44]Yuji Yamauchi, Hironobu Fujiyoshi:
Automatic generation of training samples and a learning method based on advanced MILBoost for human detection. ACPR 2011: 603-607 - [c43]Shoichi Shimizu, Hironobu Fujiyoshi:
Acquisition of 3D gaze information from eyeball movements using inside-out camera. AH 2011: 6 - [c42]Yuji Yamauchi, Chika Matsushima, Takayoshi Yamashita, Hironobu Fujiyoshi:
Relational HOG feature with wild-card for object detection. ICCV Workshops 2011: 1785-1792 - [c41]Hironobu Fujiyoshi:
Object Category Recognition by Bag-of-Features Using Co-Occurrence Representation by Foreground and Background Information. MVA 2011: 87-90 - [c40]Shoichi Shimizu, Hironobu Fujiyoshi:
Keypoint Recognition Using Two-Stage Randomized Trees. MVA 2011: 194-197 - [c39]Ryo Yumiba, Masanori Miyoshi, Hironobu Fujiyoshi:
Moving object detection with background model based on spatio-temporal texture. WACV 2011: 352-359 - 2010
- [c38]Sho Ikemura, Hironobu Fujiyoshi:
Real-Time Human Detection Using Relational Depth Similarity Features. ACCV (4) 2010: 25-38 - [c37]Norio Ishii, Yuri Suzuki, Hironobu Fujiyoshi, Takashi Fujii:
Fostering UML Modeling Skills and Social Skills through Programming Education. CSEE&T 2010: 25-32 - [c36]Yuji Yamauchi, Masanari Takagi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Feature co-occurrence representation based on boosting for object detection. CVPR Workshops 2010: 31-38 - [c35]Takuya Furukawa, Hironobu Fujiyoshi, Akiyuki Nomura:
A method for estimating cut-edit points in personal videos. ICME 2010: 364-369 - [c34]Hiroaki Ando, Hironobu Fujiyoshi:
Human-Area Segmentation by Selecting Similar Silhouette Images Based on Weak-Classifier Response. ICPR 2010: 3444-3447
2000 – 2009
- 2009
- [c33]Tomoyuki Nagahashi, Hironobu Fujiyoshi, Takeo Kanade:
Video Segmentation Using Iterated Graph Cuts Based on Spatio-temporal Volumes. ACCV (2) 2009: 655-666 - [c32]Norio Ishii, Yuki Nagao, Yuri Suzuki, Hironobu Fujiyoshi, Takashi Fujii:
Designing a Programming Course to Foster Creativity using UML Modeling Template. CSEDU (2) 2009: 104-109 - [c31]Tomokazu Mitsui, Hironobu Fujiyoshi:
Object detection by joint features based on two-stage boosting. ICCV Workshops 2009: 1169-1176 - [c30]Yudai Shinoki, Hironobu Fujiyoshi:
Method for generating videowith virtual camerawork using bi-directional object tracking between keyframes. ICME 2009: 1166-1169 - [c29]Arihito Ihara, Hironobu Fujiyoshi, Masanari Takagi, Hiroaki Kumon:
Improved Matching Accuracy in Traffic Sign Recognition by Using Different Feature Subspaces. MVA 2009: 130-133 - [c28]Yasuhiro Murai, Hironobu Fujiyoshi, Masato Kazui:
Incident Detection Based on Dynamic Background Modeling and Statistical Learning Using Spatio-Temporal Features. MVA 2009: 156-161 - [c27]Yuji Tsuduki, Hironobu Fujiyoshi:
A Method for Visualizing Pedestrian Traffic Flow Using SIFT Feature Point Tracking. PSIVT 2009: 25-36 - 2008
- [c26]Masato Kazui, Masanori Miyoshi, Shoji Muramatsu, Hironobu Fujiyoshi:
Incoherent motion detection using a time-series Gram matrix feature. ICPR 2008: 1-5 - [c25]Yosuke Murai, Hironobu Fujiyoshi:
Shot boundary detection using co-occurrence of global motion in video stream. ICPR 2008: 1-4 - [c24]Masamitsu Tsuchiya, Hironobu Fujiyoshi:
A method of feature selection using contribution ratio based on boosting. ICPR 2008: 1-4 - [c23]Takayoshi Yamashita, Hironobu Fujiyoshi, Shihong Lao, Masato Kawade:
Human tracking based on Soft Decision Feature and online real boosting. ICPR 2008: 1-4 - [c22]Yuji Yamauchi, Hironobu Fujiyoshi, Bon-Woo Hwang, Takeo Kanade:
People detection based on co-occurrence of appearance and spatiotemporal features. ICPR 2008: 1-4 - 2007
- [c21]Tomoyuki Nagahashi, Hironobu Fujiyoshi, Takeo Kanade:
Image Segmentation Using Iterated Graph Cuts Based on Multi-scale Smoothing. ACCV (2) 2007: 806-816 - [c20]Yasuhiro Murai, Hironobu Fujiyoshi, Takeo Kanade:
Combined Object Detection and Segmentation by Using Space-Time Patches. ACCV (1) 2007: 915-924 - [c19]Shoichi Shimizu, Hironobu Fujiyoshi, Hiroshi Sakai, Takeo Kanade:
Recognition of Road Contours Based on Extraction of 3D Positions of Delineators. ITSC 2007: 672-677 - [c18]Tomoyuki Nagahashi, Hironobu Fujiyoshi, Takeo Kanade:
Object Type Classification Using Structure-based Feature Representation. MVA 2007: 142-145 - [c17]Hiroki Mizuno, Hironobu Fujiyoshi:
A Method for Estimating Rigid Object Motion Using Regularized Scene Flow. MVA 2007: 167-172 - [c16]Yuji Hayashi, Hironobu Fujiyoshi:
Mean-Shift-Based Color Tracking in Illuminance Change. RoboCup 2007: 302-311 - 2006
- [c15]Takao Yokoi, Hironobu Fujiyoshi:
Generating a Time Shrunk Lecture Video by Event Detection. ICME 2006: 641-644 - [c14]Haruki Kawanaka, Hironobu Fujiyoshi, Yuji Iwahori:
Human Head Tracking in Three Dimensional Voxel Space. ICPR (3) 2006: 826-829 - [c13]Masamitsu Tsuchiya, Hironobu Fujiyoshi:
Evaluating Feature Importance for Object Classification in Visual Surveillance. ICPR (2) 2006: 978-981 - [c12]Hironobu Fujiyoshi, Takeshi Komura, Ikuko Eguchi Yairi, Kentaro Kayama:
Road Observation and Information Providing System for Supporting Mobility of Pedestrian. ICVS 2006: 37 - 2005
- [c11]Takao Yokoi, Hironobu Fujiyoshi:
Virtual camerawork for generating lecture video from high resolution images. ICME 2005: 751-754 - [c10]Shoichi Shimizu, Tomoyuki Nagahashi, Hironobu Fujiyoshi:
Robust and Accurate Detection of Object Orientation and ID Without Color Segmentation. RoboCup 2005: 408-419 - [c9]Yasunori Nagasaka, Morihiko Saeki, Shoichi Shibata, Hironobu Fujiyoshi, Takashi Fujii, Toshiyuki Sakata:
A New Practice Course for Freshmen Using RoboCup Based Small Robots. RoboCup 2005: 428-435 - [c8]Yuji Hayashi, Seiji Tohyama, Hironobu Fujiyoshi:
Mosaic-Based Global Vision System for Small Size Robot League. RoboCup 2005: 593-601 - 2004
- [j4]Hironobu Fujiyoshi, Alan J. Lipton, Takeo Kanade:
Real-Time Human Motion Analysis by Image Skeletonization. IEICE Trans. Inf. Syst. 87-D(1): 113-120 (2004) - [j3]Hironobu Fujiyoshi, Takeo Kanade:
Layered Detection for Multiple Overlapping Objects. IEICE Trans. Inf. Syst. 87-D(12): 2821-2827 (2004) - [c7]Takayuki Nishi, Hironobu Fujiyoshi:
Object-Based Video Coding Using Pixel State Analysis. ICPR (3) 2004: 306-309 - [c6]Hironobu Fujiyoshi, Shoichi Shimizu, Yasunori Nagasaka, Tomoichi Takahashi:
A Method of Pseudo Stereo Vision from Images of Cameras Shutter Timing Adjusted. RoboCup 2004: 443-450 - 2003
- [c5]Hironobu Fujiyoshi, Shoichi Shimizu, Takayuki Nishi, Yasunori Nagasaka, Tomoichi Takahashi:
Fast 3D position measurement with two unsynchronized cameras. CIRA 2003: 1239-1244 - 2002
- [c4]Hironobu Fujiyoshi, Takeo Kanade:
Layered Detection for Multiple Overlapping Objects. ICPR (4) 2002: 156-161 - 2001
- [j2]Robert T. Collins, Alan J. Lipton, Hironobu Fujiyoshi, Takeo Kanade:
Algorithms for cooperative multisensor surveillance. Proc. IEEE 89(10): 1456-1477 (2001) - 2000
- [c3]Nobuyoshi Enomoto, Takeo Kanade, Hironobu Fujiyoshi, Osamu Hasegawa:
A Method for Monitoring Activities of Multiple Objects by Using Stochastic Model. MVA 2000: 19-22
1990 – 1999
- 1998
- [j1]Hironobu Fujiyoshi, Taizo Umezaki, Tomohiko Imamura, Takeo Kanade:
Area extraction of license plates using an artificial neural network. Syst. Comput. Jpn. 29(11): 55-64 (1998) - [c2]Alan J. Lipton, Hironobu Fujiyoshi, Raju S. Patil:
Moving target classification and tracking from real-time video. WACV 1998: 8-14 - [c1]Hironobu Fujiyoshi, Alan J. Lipton:
Real-time human motion analysis by image skeletonization. WACV 1998: 15-21
Coauthor Index
[j29] [j28] [j27] [j26] [c156] [c155] [c154] [c153] [c152] [c151] [c150] [c149] [c148] [c147] [i20] [i19] [i18] [j25] [j24] [j23] [j22] [c146] [c145] [c144] [c143] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [c135] [c134] [i17] [i16] [i15] [j21] [j20] [c132] [c131] [c130] [c129] [c128] [c127] [i14] [i13] [i12] [j19] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c116] [c115] [c114] [c113] [c112] [i11] [i10] [i9] [i8] [j16] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [i7] [c104] [c102] [c98] [c97] [c96] [c92] [c91] [i6] [i5] [c88] [i4] [i3] [c82]
[j29] [j28] [j27] [j26] [c156] [c155] [c154] [c153] [c152] [c151] [c150] [c149] [c148] [c147] [i20] [i19] [i18] [j25] [j24] [j22] [c146] [c145] [c144] [c143] [c142] [c141] [c140] [c139] [c138] [c137] [c136] [c135] [c134] [i17] [i16] [i15] [j21] [j20] [c132] [c131] [c130] [c129] [c128] [c127] [i13] [i12] [j19] [c126] [c125] [c124] [c123] [c122] [c121] [c120] [c119] [c116] [c115] [c114] [c113] [c112] [i11] [i10] [i9] [i8] [j18] [j16] [c111] [c110] [c109] [c108] [c107] [c106] [c105] [i7] [c104] [c102] [c101] [c100] [c99] [c98] [c97] [c96] [c95] [c94] [c93] [c92] [c91] [c90] [c89] [i6] [i5] [j15] [c88] [c87] [c86] [c83] [i4] [i3] [c82] [c81] [c80] [c78] [i2] [i1] [c77] [c74] [c73] [c72] [j14] [j13] [j12] [j11] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c61] [c60] [c59] [c57] [c56] [c54] [c52] [c47] [j6] [j5] [c45] [c42] [c36] [c23]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2025-02-24 21:30 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
