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ORCIDTakayoshi Yamashita
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- affiliation: Chubu University, Kasugai, Japan
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2020 – today
- 2024
[j25]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)- [j24]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) - [j23]Sukrit Leelaluk, Cheng Tang, Tsubasa Minematsu, Yuta Taniguchi, Fumiya Okubo, Takayoshi Yamashita, Atsushi Shimada:
Attention-Based Artificial Neural Network for Student Performance Prediction Based on Learning Activities. IEEE Access 12: 100659-100675 (2024) - [j22]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) - [j21]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) - [c130]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 - [c129]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 - [c128]Kota Shimomura, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Potential Risk Localization via Weak Labeling out of Blind Spot. CVPR Workshops 2024: 4504-4513 - [c127]Ryuto Yoshida, Junichi Okubo, Junichiro Fujii, Masazumi Amakata, Takayoshi Yamashita:
Overlap Suppression Clustering for Offline Multi-Camera People Tracking. CVPR Workshops 2024: 7153-7162 - [c126]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 - [c125]Nobuhiko Wakai, Satoshi Sato, Yasunori Ishii, Takayoshi Yamashita:
Deep Single Image Camera Calibration by Heatmap Regression to Recover Fisheye Images Under Manhattan World Assumption. CVPR 2024: 11884-11894 - [c124]Yuzuru Nakamura, Yasunori Ishii, Takayoshi Yamashita:
Active Domain Adaptation with False Negative Prediction for Object Detection. CVPR 2024: 28782-28792 - [c123]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 - [c122]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 - [c121]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 - [c120]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 - [c119]Gen Li, Cheng Tang, Li Chen, Daisuke Deguchi, Takayoshi Yamashita, Atsushi Shimada:
LLM-Driven Ontology Learning to Augment Student Performance Analysis in Higher Education. KSEM (3) 2024: 57-68 - [c118]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 - [c117]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 - [c116]Jumpei Goto, Yohei Nakata, Kiyofumi Abe, Yasunori Ishii, Takayoshi Yamashita:
Learning Intra-class Multimodal Distributions with Orthonormal Matrices. WACV 2024: 1859-1868 - [i26]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) - [i25]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) - [i24]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
- [j20]Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Toward Prototypical Part Interpretable Similarity Learning With ProtoMetric. IEEE Access 11: 62986-62997 (2023) - [j19]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) - [j18]Seiji Hirosawa, Takaaki Kato, Takayoshi Yamashita, Yoshimitsu Aoki:
Action Quality Assessment Model Using Specialists' Gaze Location and Kinematics Data - Focusing on Evaluating Figure Skating Jumps. Sensors 23(22): 9282 (2023) - [j17]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) - [c115]Tsunemi Nitta, Yuzhi Shi, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Detecting Data Drift with KS Test Using Attention Map. ACPR (1) 2023: 68-80 - [c114]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 - [c113]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 - [c112]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 - [c111]Yuki Ukai, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
This Looks Like It Rather Than That: ProtoKNN For Similarity-Based Classifiers. ICLR 2023 - [c110]Hidenori Itaya, Tom Sagawa, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi:
Visual Explanation for Cooperative Behavior in Multi-Agent Reinforcement Learning. IJCNN 2023: 1-7 - [c109]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 - [c108]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 - [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
- [j16]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) - [j15]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
- [j14]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
- [j13]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) - [j12]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
- [j11]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
- [j10]Yohei Mishina, Ryuei Murata, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Boosted Random Forest. IEICE Trans. Inf. Syst. 98-D(9): 1630-1636 (2015) - [j9]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) - [j8]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) - [j7]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]Masamitsu Tsuchiya, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Transfer forest based on covariate shift. ACPR 2015: 760-764 - [c35]Ryuei Murata, Yohei Mishina, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Efficient feature selection method using contribution ratio by random forest. FCV 2015: 1-6 - [c34]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 - [c33]Takayoshi Yamashita, Masayuki Tanaka, Yuji Yamauchi, Hironobu Fujiyoshi:
SWAP-NODE: A regularization approach for deep convolutional neural networks. ICIP 2015: 2475-2479 - [c32]Takayoshi Yamashita, Taro Watasue, Yuji Yamauchi, Hironobu Fujiyoshi:
Facial point detection using convolutional neural network transferred from a heterogeneous task. ICIP 2015: 2725-2729 - [c31]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 - [c30]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 - [c29]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 - [c28]Yosuke Murai, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Weighted Hough Forest for object detection. MVA 2015: 122-125 - [c27]Takato Kurokawa, Yuji Yamauchi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Fast discrimination by early judgment using linear classifier. MVA 2015: 234-237 - [c26]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 - 2014
- [c25]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 - [c24]Ryo Kawahata, Yanrung Wang, Atsushi Shimada, Takayoshi Yamashita, Rin-Ichiro Taniguchi:
Incremental Learning of Hand Gestures Based on Submovement Sharing. ICIAR (2) 2014: 58-65 - [c23]Takayoshi Yamashita, Taro Watasue:
Hand posture recognition based on bottom-up structured deep convolutional neural network with curriculum learning. ICIP 2014: 853-857 - [c22]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 - [c21]Masahiro Fujisaki, Daiki Kuwahara, Taro Nakamura, Akinobu Maejima, Takayoshi Yamashita, Shigeo Morishima:
Facial fattening and slimming simulation considering skull structure. SIGGRAPH Posters 2014: 35:1 - 2013
- [c20]Masamitsu Tsuchiya, Yuji Yamauchi, Hironobu Fujiyoshi, Takayoshi Yamashita:
Hybrid Transfer Learning for Efficient Learning in Object Detection. ACPR 2013: 69-73 - [c19]Xiang Ruan, Kenji Fukuda, Takayoshi Yamashita:
Living without Menu Bar: A Shape Retrieval Based Word Editor. ACPR 2013: 746 - [c18]Atsushi Shimada, Takayoshi Yamashita, Rin-Ichiro Taniguchi:
Hand gesture based TV control system - Towards both user- & machine-friendly gesture applications. FCV 2013: 121-126 - [c17]Takayoshi Yamashita, Hironobu Fujiyoshi:
Robust object tracking using a context based on the relation of object and background. ICASSP 2013: 1788-1792 - [c16]Yanrung Wang, Atsushi Shimada, Takayoshi Yamashita, Rin-Ichiro Taniguchi:
A Subunit-Based Dynamic Time Warping Approach for Hand Movement Recognition. ICIAP (1) 2013: 672-681 - 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) - [c15]Zhifang Liu, Genquan Duan, Haizhou Ai, Takayoshi Yamashita:
Adaptation of boosted pedestrian detectors by feature reselection. ICIP 2012: 481-484 - [c14]Atsushi Shimada, Takayoshi Yamashita, Rin-Ichiro Taniguchi:
How to Select Useful Hand Shapes for Hand Gesture Recognition System. ICPRAM (2) 2012: 394-399 - 2011
- [j5]Tatsuya Tanaka, Satoshi Yoshinaga, Atsushi Shimada, Rin-Ichiro Taniguchi, Takayoshi Yamashita, Daisaku Arita:
Object Detection Based on Combining Multiple Background Modelings. Inf. Media Technol. 6(1): 115-127 (2011) - [j4]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) - [j3]Ling Cai, Lei He, Takayoshi Yamashita, Yiren Xu, Yuming Zhao, Xin Yang:
Robust Contour Tracking by Combining Region and Boundary Information. IEEE Trans. Circuits Syst. Video Technol. 21(12): 1784-1794 (2011) - [c13]Genquan Duan, Haizhou Ai, Takayoshi Yamashita, Shihong Lao:
Human centric object detection in highly crowded scenes. ACPR 2011: 100-104 - [c12]Takayoshi Yamashita, Yuji Yamauchi, Hironobu Fujiyoshi:
Human detection for multiple pose by boosted randomized trees. ACPR 2011: 229-233 - [c11]Atsushi Irie, Mutsuki Takagiwa, Kozo Moriyama, Takayoshi Yamashita:
Improvements to facial contour detection by hierarchical fitting and regression. ACPR 2011: 273-277 - [c10]Yuji Yamauchi, Chika Matsushima, Takayoshi Yamashita, Hironobu Fujiyoshi:
Relational HOG feature with wild-card for object detection. ICCV Workshops 2011: 1785-1792 - 2010
- [j2]Tatsuya Tanaka, Satoshi Yoshinaga, Atsushi Shimada, Rin-Ichiro Taniguchi, Takayoshi Yamashita, Daisaku Arita:
Object Detection Based on Combining Multiple Background Modelings. IPSJ Trans. Comput. Vis. Appl. 2: 156-168 (2010) - [c9]Yanchao Su, Haizhou Ai, Takayoshi Yamashita, Shihong Lao:
Human Pose Estimation Using Exemplars and Part Based Refinement. ACCV (2) 2010: 174-185 - [c8]Yuji Yamauchi, Masanari Takagi, Takayoshi Yamashita, Hironobu Fujiyoshi:
Feature co-occurrence representation based on boosting for object detection. CVPR Workshops 2010: 31-38 - [c7]Sheng Wang, Haizhou Ai, Takayoshi Yamashita, Shihong Lao:
Combined Top-Down/Bottom-Up Human Articulated Pose Estimation Using AdaBoost Learning. ICPR 2010: 3670-3673
2000 – 2009
- 2009
- [c6]Tatsuya Tanaka, Atsushi Shimada, Rin-Ichiro Taniguchi, Takayoshi Yamashita, Daisaku Arita:
Towards Robust Object Detection: Integrated Background Modeling Based on Spatio-temporal Features. ACCV (1) 2009: 201-212 - [c5]Wei He, Takayoshi Yamashita, Hongtao Lu, Shihong Lao:
SURF Tracking. ICCV 2009: 1586-1592 - 2008
- [j1]Yuan Li, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, Masato Kawade:
Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Life Spans. IEEE Trans. Pattern Anal. Mach. Intell. 30(10): 1728-1740 (2008) - [c4]Takayoshi Yamashita, Hironobu Fujiyoshi, Shihong Lao, Masato Kawade:
Human tracking based on Soft Decision Feature and online real boosting. ICPR 2008: 1-4 - 2007
- [c3]Yuan Li, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, Masato Kawade:
Tracking in Low Frame Rate Video: A Cascade Particle Filter with Discriminative Observers of Different Lifespans. CVPR 2007 - [c2]Li Xu, Takayoshi Yamashita, Shihong Lao, Masato Kawade, Feihu Qi:
Online Real Boosting for Object Tracking Under Severe Appearance Changes and Occlusion. ICASSP (1) 2007: 925-928 - [c1]Chang Huang, Haizhou Ai, Takayoshi Yamashita, Shihong Lao, Masato Kawade:
Incremental Learning of Boosted Face Detector. ICCV 2007: 1-8
Coauthor Index
[j25] [j24] [j22] [j21] [c130] [c129] [c128] [c126] [c123] [c122] [c121] [c120] [c118] [c117] [i26] [i25] [i24] [j20] [j19] [j17] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c106] [c105] [c104] [c103] [i23] [i20] [i19] [j16] [j15] [c102] [c100] [c98] [c97] [c96] [c95] [i16] [i14] [j14] [c93] [c92] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [i13] [i12] [i11] [i9] [j13] [j12] [c79] [c78] [c76] [c75] [c74] [c73] [c72] [i7] [c71] [c70] [c69] [c68] [c67] [c66] [c65] [c64] [c63] [c62] [c61] [c60] [c59] [c58] [c57] [i6] [i5] [j11] [c56] [c54] [c53] [c52] [i4] [i3] [c50] [c49] [c48] [c45] [i2] [i1] [c43] [c41] [c39] [c38] [j10] [j9] [j8] [j7] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [c26] [c25] [c22] [c20] [c17] [j6] [j4] [c12] [c10] [c8] [c4]
[j25] [j24] [j22] [j21] [c130] [c129] [c128] [c126] [c123] [c122] [c121] [c120] [c118] [c117] [i26] [i25] [i24] [j20] [j19] [j17] [c115] [c114] [c113] [c112] [c111] [c110] [c109] [c108] [c106] [c105] [c104] [c103] [i23] [i20] [i19] [j16] [j15] [c102] [c100] [c98] [c97] [c96] [c95] [i16] [i14] [j14] [c93] [c92] [c90] [c89] [c88] [c87] [c86] [c85] [c84] [c83] [c82] [c81] [c80] [i13] [i12] [i11] [i9] [j12] [c79] [c78] [c76] [c75] [c74] [c73] [c72] [i7] [c71] [c70] [c66] [c65] [c64] [c60] [c59] [i6] [i5] [c56] [i4] [i3] [c50]
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