Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDTakayoshi Yamashita
Person information
- affiliation: Chubu University, Kasugai, Japan
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2023
[j16]Yuki Ukai
, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric. IEEE Access 11: 62986-62997 (2023)- [j15]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) - [j14]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) - [c112]Tsunemi Nitta, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Detecting Data Drift with KS Test Using Attention Map. ACPR (1) 2023: 68-80 - [c111]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 - [c110]Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers. ICLR 2023 - [c109]Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-7 - [c108]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 - [c107]Yucheng Zhang, Masaki Fukuda, Yasunori Ishii, Kyoko Ohshima, Takayoshi Yamashita:
PALF: Pre-Annotation and Camera-LiDAR Late Fusion for the Easy Annotation of Point Clouds. MVA 2023: 1-5 - [c106]Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka:
Masking and Mixing Adversarial Training. VISIGRAPP (4: VISAPP) 2023: 74-82 - [c105]Takaaki Iwayoshi, Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Complement Objective Mining Branch for Optimizing Attention Map. VISIGRAPP (4: VISAPP) 2023: 105-113 - [c104]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 - [c103]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 - [i23]Hiroki Adachi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi, Yasunori Ishii, Kazuki Kozuka:
Masking and Mixing Adversarial Training. CoRR abs/2302.08066 (2023) - [i22]Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita:
Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under ManhattanWorld AssumptionWithout Ambiguity. CoRR abs/2303.17166 (2023) - [i21]Yucheng Zhang, Masaki Fukuda, Yasunori Ishii, Kyoko Ohshima, Takayoshi Yamashita:
PALF: Pre-Annotation and Camera-LiDAR Late Fusion for the Easy Annotation of Point Clouds. CoRR abs/2304.08591 (2023) - [i20]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) - [i19]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
- [j13]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) - [j12]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) - [c102]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 - [c101]Yuzuru Nakamura, Yasunori Ishii, Yuki Maruyama, Takayoshi Yamashita:
Few-shot Adaptive Object Detection with Cross-Domain CutMix. ACCV (6) 2022: 746-763 - [c100]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 - [c99]Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita:
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion. ECCV (18) 2022: 679-698 - [c98]Lyuzhuang Liu, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Class-Wise FM-NMS for Knowledge Distillation of Object Detection. ICIP 2022: 1641-1645 - [c97]Sachi Iwata, Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Refining Design Spaces in Knowledge Distillation for Deep Collaborative Learning. ICPR 2022: 2371-2377 - [c96]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 - [c95]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 - [c94]Sukrit Leelaluk, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada:
Scaled-Dot Product Attention for Early Detection of At-risk Students. TALE 2022: 316-322 - [i18]Risako Tanigawa, Yasunori Ishii, Kazuki Kozuka, Takayoshi Yamashita:
Invisible-to-Visible: Privacy-Aware Human Instance Segmentation using Airborne Ultrasound via Collaborative Learning Variational Autoencoder. CoRR abs/2204.07280 (2022) - [i17]Risako Tanigawa, Yasunori Ishii, Kazuki Kozuka, Takayoshi Yamashita:
Invisible-to-Visible: Privacy-Aware Human Segmentation using Airborne Ultrasound via Collaborative Learning Probabilistic U-Net. CoRR abs/2205.05293 (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]Yuzuru Nakamura, Yasunori Ishii, Yuki Maruyama, Takayoshi Yamashita:
Few-shot Adaptive Object Detection with Cross-Domain CutMix. CoRR abs/2208.14586 (2022) - [i14]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
- [j11]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) - [c93]Shungo Fujii, Naoki Okamoto, Toshiki Seo, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Super-Class Mixup for Adjusting Training Data. ACPR (2) 2021: 45-58 - [c92]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 - [c91]Nobuhiko Wakai, Takayoshi Yamashita:
Deep Single Fisheye Image Camera Calibration for Over 180-degree Projection of Field of View. ICCVW 2021: 1174-1183 - [c90]Shungo Tsutsui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Semantic Segmentation And Change Detection By Multi-Task U-Net. ICIP 2021: 619-623 - [c89]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 - [c88]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 - [c87]Shota Masaki, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Multi-Domain Semantic-Segmentation using Multi-Head Model. ITSC 2021: 2802-2807 - [c86]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 - [c85]Takaaki Iwayoshi, Masahiro Mitsuhara, Masayuki Takada, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Attention Mining Branch for Optimizing Attention Map. MVA 2021: 1-5 - [c84]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 - [c83]Masaki Miyata, Katsutoshi Shiraki, Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Relational Subgraph for Graph-based Path Prediction. MVA 2021: 1-5 - [c82]Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Collaborative Learning of Generative Adversarial Networks. VISIGRAPP (5: VISAPP) 2021: 492-499 - [c81]Jishu Miao, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
3D Object Detection with Normal-map on Point Clouds. VISIGRAPP (5: VISAPP) 2021: 569-576 - [c80]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 - [i13]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) - [i12]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) - [i11]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) - [i10]Yasunori Ishii, Takayoshi Yamashita:
CutDepth: Edge-aware Data Augmentation in Depth Estimation. CoRR abs/2107.07684 (2021) - [i9]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) - [i8]Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita:
Rethinking Generic Camera Models for Deep Single Image Camera Calibration to Recover Rotation and Fisheye Distortion. CoRR abs/2111.12927 (2021) - 2020
- [j10]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) - [j9]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) - [c79]Soma Minami, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Knowledge Transfer Graph for Deep Collaborative Learning. ACCV (4) 2020: 203-217 - [c78]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 - [c77]Yasunori Ishii, Satoshi Sato, Takayoshi Yamashita:
Privacy-Aware Face Recognition with Lensless Multi-pinhole Camera. ECCV Workshops (5) 2020: 476-493 - [c76]Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Improving reliability of attention branch network by introducing uncertainty. ICPR 2020: 1536-1542 - [c75]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 - [c74]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 - [c73]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 - [c72]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
- [c71]Yasuaki Mori, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Coarse-to-Fine Deep Orientation Estimator for Local Image Matching. ACPR (1) 2019: 378-390 - [c70]Hiroshi Fukui, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Attention Branch Network: Learning of Attention Mechanism for Visual Explanation. CVPR 2019: 10705-10714 - [c69]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 - [c68]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 - [c67]Yusuke Inagaki, Ryosuke Araki, Takayoshi Yamashita, Hironobu Fujiyoshi:
Detecting layered structures of partially occluded objects for bin picking. IROS 2019: 5786-5791 - [c66]Haruka Iesaki, Shuhei Naruse, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Automatic Creation of Path Information on Digital Map. ITSC 2019: 3130-3135 - [c65]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 - [c64]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 - [c63]Soma Minami, Takayoshi Yamashita, Hironobu Fujiyoshi:
Gradual Sampling Gate for Bidirectional Knowledge Distillation. MVA 2019: 1-6 - [c62]Kosuke Osumi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Domain Adaptation using a Gradient Reversal Layer with Instance Weighting. MVA 2019: 1-5 - [c61]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 - [c60]Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Scene Context-aware Rapidly-exploring Random Trees for Global Path Planning. PerCom Workshops 2019: 608-613 - [c59]Hiroaki Minoura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Path Predictions using Object Attributes and Semantic Environment. VISIGRAPP (5: VISAPP) 2019: 19-26 - [c58]Hiroki Adachi, Hiroshi Fukui, Takayoshi Yamashita, Hironobu Fujiyoshi:
Facial Image Generation by Generative Adversarial Networks using Weighted Conditions. VISIGRAPP (4: VISAPP) 2019: 139-145 - [c57]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
- [j8]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) - [c56]Tsubasa Hirakawa, Takayoshi Yamashita, Toru Tamaki, Hironobu Fujiyoshi:
Survey on Vision-Based Path Prediction. HCI (22) 2018: 48-64 - [c55]Takayoshi Yamashita:
Sensing, Perception and Decision for Deep Learning Based Autonomous Driving. HCI (22) 2018: 152-163 - [c54]Takayoshi Yamashita, Hironori Furukawa, Hironobu Fujiyoshi:
Multiple Skip Connections of Dilated Convolution Network for Semantic Segmentation. ICIP 2018: 1593-1597 - [c53]Kohei Kawai, Takahiro Hasegawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Compactification of Affine Transformation Filter Using Tensor Decomposition. ICIP 2018: 2162-2166 - [c52]Yuki Kunisada, Takayoshi Yamashita, Hironobu Fujiyoshi:
Pedestrian-Detection Method based on 1D-CNN during LiDAR Rotation. ITSC 2018: 2692-2697 - [c51]Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Yuta Taniguchi, Shin'ichi Konomi:
On the Prediction of Students' Quiz Score by Recurrent Neural Network. CrossMMLA@LAK 2018 - [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
- [c50]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 - [c49]Takato Kurokawa, Yuji Yamauchi, Mitsuru Ambai, Takayoshi Yamashita, Hironobu Fujiyoshi:
Accelerating Computation of Exemplar-SVM by Binary Approximation based on Matrix Decomposition. BMVC 2017 - [c48]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 - [c47]Masaya Uchi, Yuri Suzuki, Akitoshi Itai, Takayoshi Yamashita, Norio Ishii:
Analysis of Effects of Cooperative Learning Due to Differences in Students' Skills. IIAI-AAI 2017: 1015-1016 - [c46]Maho Ueda, Yuri Suzuki, Akitoshi Itai, Takayoshi Yamashita, Norio Ishii:
Report on Behavior Analysis Using Text Mining in Pair Programming Education. IIAI-AAI 2017: 1017-1018 - [c45]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 - [c44]Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada, Hiroaki Ogata:
A neural network approach for students' performance prediction. LAK 2017: 598-599 - [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
- [c43]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 - [c42]Shunta Saito, Takayoshi Yamashita, Yoshimitsu Aoki:
Multiple Object Extraction from Aerial Imagery with Convolutional Neural Networks. IRIACV 2016: 1-9 - [c41]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 - [c40]Ryo Kawahata, Atsushi Shimada, Takayoshi Yamashita, Hideaki Uchiyama, Rin-Ichiro Taniguchi:
Design of a Low-false-positive Gesture for a Wearable Device. ICPRAM 2016: 581-588 - [c39]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 - [c38]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
- [j7]Yohei Mishina, Ryuei Murata, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Boosted Random Forest. IEICE Trans. Inf. Syst. 98-D(9): 1630-1636 (2015) - [j6]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) - [j5]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) - [c37]Ryoji Wakayama, Ryuei Murata, Akisato Kimura, Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
Distributed forests for MapReduce-based machine learning. ACPR 2015: 276-280 - [c36]