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Kazuya Takeda
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- affiliation: Nagoya University
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2020 – today
- 2024
- [j91]Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda:
DRUformer: Enhancing Driving Scene Important Object Detection With Driving Scene Relationship Understanding. IEEE Access 12: 67589-67599 (2024) - [j90]Jingjun Cheng, Zhen Wang, Xiangmo Zhao, Zhigang Xu, Ming Ding, Kazuya Takeda:
A Survey on Testbench-Based Vehicle-in-the-Loop Simulation Testing for Autonomous Vehicles: Architecture, Principle, and Equipment. Adv. Intell. Syst. 6(6) (2024) - [j89]Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii:
Automatic Detection of Faults in Simulated Race Walking from a Fixed Smartphone Camera. Int. J. Comput. Sci. Sport 23(1): 22-36 (2024) - [j88]Ning Ding, Kazuya Takeda, Wenhui Jin, Yingjiu Bei, Keisuke Fujii:
Estimation of control area in badminton doubles with pose information from top and back view drone videos. Multim. Tools Appl. 83(8): 24777-24793 (2024) - [j87]Keisuke Fujii, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
Decentralized policy learning with partial observation and mechanical constraints for multiperson modeling. Neural Networks 171: 40-52 (2024) - [j86]Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Maoning Ge, Kento Ohtani, Chi Zhang, Kazuya Takeda:
LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model. Remote. Sens. 16(12): 2247 (2024) - [j85]Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Alexander Carballo, Kazuya Takeda:
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut. Sensors 24(9): 2695 (2024) - [j84]Robin Karlsson, Ruslan Asfandiyarov, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Open-Vocabulary Predictive World Models from Sensor Observations. Sensors 24(14): 4735 (2024) - [c283]Tomohiro Suzuki, Ryota Tanaka, Kazuya Takeda, Keisuke Fujii:
Pseudo-label based unsupervised fine-tuning of a monocular 3D pose estimation model for sports motions. CVPR Workshops 2024: 3315-3324 - [c282]Tatsuya Komatsu, Yusuke Fujita, Kazuya Takeda, Tomoki Toda:
Audio Difference Learning for Audio Captioning. ICASSP 2024: 1456-1460 - [c281]Khanh Bao Tran, Alexander Carballo, Kazuya Takeda:
360 LiDAR + 360 RGB + 360 Thermal: Multimodal Targetless Calibration. IV 2024: 279-284 - [c280]Yafu Tian, Alexander Carballo, Ruifeng Li, Simon Thompson, Kazuya Takeda:
RSG-Search Plus: An Advanced Traffic Scene Retrieval Methods based on Road Scene Graph. IV 2024: 1171-1178 - [c279]Yan Feng, Alexander Carballo, Yingjie Niu, Kazuya Takeda:
Contrasting Disentangled Partial Observations for Pedestrian Action Prediction. IV 2024: 2828-2833 - [c278]Kana Bito, Yoshio Ishiguro, Kazuya Takeda:
Evaluation of a Virtual Experience System for Restaurants. Web3D 2024: 7:1-7:10 - [i32]Yan Feng, Alexander Carballo, Keisuke Fujii, Robin Karlsson, Ming Ding, Kazuya Takeda:
MulCPred: Learning Multi-modal Concepts for Explainable Pedestrian Action Prediction. CoRR abs/2409.09446 (2024) - 2023
- [j83]Zhang Ziyi, Rory P. Bunker, Kazuya Takeda, Keisuke Fujii:
Multi-Agent Deep-Learning Based Comparative Analysis of Team Sport Trajectories. IEEE Access 11: 43305-43315 (2023) - [j82]Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Action Valuation of On- and Off-Ball Soccer Players Based on Multi-Agent Deep Reinforcement Learning. IEEE Access 11: 131237-131244 (2023) - [j81]Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii:
Estimating the effect of hitting strategies in baseball using counterfactual virtual simulation with deep learning. Int. J. Comput. Sci. Sport 22(1): 1-12 (2023) - [j80]Peng Ping, Cong Huang, Weiping Ding, Yongkang Liu, Chiyomi Miyajima, Kazuya Takeda:
Distracted driving detection based on the fusion of deep learning and causal reasoning. Inf. Fusion 89: 121-142 (2023) - [j79]Aoki Takanose, Kaito Kondo, Yuta Hoda, Junichi Meguro, Kazuya Takeda:
Localization System for Vehicle Navigation Based on GNSS/IMU Using Time-Series Optimization with Road Gradient Constrain. J. Robotics Mechatronics 35(2): 387-397 (2023) - [j78]Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Learning to Predict Navigational Patterns From Partial Observations. IEEE Robotics Autom. Lett. 8(9): 5592-5599 (2023) - [j77]Hanting Yang, Alexander Carballo, Yuxiao Zhang, Kazuya Takeda:
Framework for Generation and Removal of Multiple Types of Adverse Weather from Driving Scene Images. Sensors 23(3): 1548 (2023) - [j76]Hanting Yang, Alexander Carballo, Yuxiao Zhang, Kazuya Takeda:
Controllable Unsupervised Snow Synthesis by Latent Style Space Manipulation. Sensors 23(20): 8398 (2023) - [j75]Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Kento Ohtani, Kazuya Takeda:
L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions. Sensors 23(21): 8660 (2023) - [c277]Ren Kobayashi, Rikuhei Umemoto, Kazuya Takeda, Keisuke Fujii:
Score prediction using multiple object tracking for analyzing movements in 2-vs-2 Handball. GCCE 2023: 946-947 - [c276]Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii:
Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from Inertial Sensors. GCCE 2023: 1099-1100 - [c275]Sehun Kim, Kazuya Takeda, Tomoki Toda:
Sequence-to-Sequence Network Training Methods for Automatic Guitar Transcription With Tokenized Outputs. ISMIR 2023: 524-531 - [c274]Naren Bao, Alexander Carballo, Manabu Tsukada, Kazuya Takeda:
Personalized Causal Factor Generalization for Subjective Risky Scene Understanding with Vision Transformer. ITSC 2023: 4637-4643 - [c273]Atsushi Kuribayashi, Eijiro Takeuchi, Alexander Carballo, Yoshio Ishiguro, Kazuya Takeda:
Uncertainty Aware Task Allocation for Human-Automation Cooperative Recognition in Autonomous Driving Systems. IV 2023: 1-7 - [c272]Eric L. Manibardo, Ibai Laña, Javier Del Ser, Alexander Carballo, Kazuya Takeda:
Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles. IV 2023: 1-8 - [c271]Yingjie Niu, Ming Ding, Yuxiao Zhang, Maoning Ge, Hanting Yang, Kazuya Takeda:
Open-world driving scene segmentation via multi-stage and multi-modality fusion of vision-language embedding. IV 2023: 1-6 - [c270]Aoki Takanose, Eijiro Takeuchi, Alexander Carballo, Junichi Meguro, Kazuya Takeda:
Real-Time Graph-Based Optimization for GNSS-Doppler Integrated RTK-GNSS/IMU/DR Positioning System in Urban Area. IV 2023: 1-8 - [c269]Yafu Tian, Alexander Carballo, Ruifeng Li, Kazuya Takeda:
RSG-Search: Semantic Traffic Scene Retrieval Using Graph-Based Scene Representation. IV 2023: 1-8 - [c268]Hanting Yang, Ming Ding, Alexander Carballo, Yuxiao Zhang, Kento Ohtani, Yingjie Niu, Maoning Ge, Yan Feng, Kazuya Takeda:
Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance. IV 2023: 1-6 - [c267]Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Maoning Ge, Alexander Carballo, Kazuya Takeda:
LiDAR Point Cloud Translation Between Snow and Clear Conditions Using Depth Images and GANs. IV 2023: 1-7 - [c266]Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii:
Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs. MMSports@MM 2023: 41-48 - [c265]Atsushi Kuribayashi, Eijiro Takeuchi, Alexander Carballo, Yoshio Ishiguro, Kazuya Takeda:
Intervention Request Planning with Operator Capability Model for Human-Automation Cooperative Recognition. MOST 2023: 132-141 - [c264]Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Predictive World Models from Real-World Partial Observations. MOST 2023: 152-166 - [i31]Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Predictive World Models from Real-World Partial Observations. CoRR abs/2301.04783 (2023) - [i30]Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Learning to Predict Navigational Patterns from Partial Observations. CoRR abs/2304.13242 (2023) - [i29]Ning Ding, Kazuya Takeda, Wenhui Jin, Yingjiu Bei, Keisuke Fujii:
Estimation of control area in badminton doubles with pose information from top and back view drone videos. CoRR abs/2305.04247 (2023) - [i28]Hiroshi Nakahara, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Action valuation of on- and off-ball soccer players based on multi-agent deep reinforcement learning. CoRR abs/2305.17886 (2023) - [i27]Yingjie Niu, Ming Ding, Maoning Ge, Robin Karlsson, Yuxiao Zhang, Kazuya Takeda:
R-Cut: Enhancing Explainability in Vision Transformers with Relationship Weighted Out and Cut. CoRR abs/2307.09050 (2023) - [i26]Tatsuya Komatsu, Yusuke Fujita, Kazuya Takeda, Tomoki Toda:
Audio Difference Learning for Audio Captioning. CoRR abs/2309.08141 (2023) - [i25]Robin Karlsson, Francisco Lepe-Salazar, Kazuya Takeda:
Compositional Semantics for Open Vocabulary Spatio-semantic Representations. CoRR abs/2310.04981 (2023) - [i24]Tomohiro Suzuki, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Runner re-identification from single-view video in the open-world setting. CoRR abs/2310.11700 (2023) - [i23]Ryota Tanaka, Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii:
Automatic Edge Error Judgment in Figure Skating Using 3D Pose Estimation from a Monocular Camera and IMUs. CoRR abs/2310.17193 (2023) - [i22]Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda:
DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding. CoRR abs/2311.06497 (2023) - 2022
- [j74]Naren Bao, Linda Capito, Dongfang Yang, Alexander Carballo, Chiyomi Miyajima, Kazuya Takeda:
Data-Driven Risk-Sensitive Control for Personalized Lane Change Maneuvers. IEEE Access 10: 36397-36415 (2022) - [j73]Ning Ding, Kazuya Takeda, Keisuke Fujii:
Deep Reinforcement Learning in a Racket Sport for Player Evaluation With Technical and Tactical Contexts. IEEE Access 10: 54764-54772 (2022) - [j72]Patiphon Narksri, Hatem Darweesh, Eijiro Takeuchi, Yoshiki Ninomiya, Kazuya Takeda:
Occlusion-Aware Motion Planning With Visibility Maximization via Active Lateral Position Adjustment. IEEE Access 10: 57759-57782 (2022) - [j71]Shunya Seiya, Alexander Carballo, Eijiro Takeuchi, Kazuya Takeda:
Deepware: An Open-Source Toolkit for Developing and Evaluating Learning-Based and Model-Based Autonomous Driving Models. IEEE Access 10: 105734-105743 (2022) - [j70]Zhang Ziyi, Kazuya Takeda, Keisuke Fujii:
Cooperative play classification in team sports via semi-supervised learning. Int. J. Comput. Sci. Sport 21(1): 111-121 (2022) - [j69]Yusuke Sakai, Hiromi Morita, Yoshio Ishiguro, Kazuya Takeda, Takanori Nishino:
SecretSign: A Method of Finding a Specific Vehicle Privately and Quickly Using Flashing Lights. IEEE Intell. Transp. Syst. Mag. 14(1): 216-227 (2022) - [c263]Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda:
Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment. BMVC 2022: 699 - [c262]Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda, Tomoki Toda:
Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure. EUSIPCO 2022: 294-298 - [c261]Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii:
Automatic fault detection in race walking from a smartphone camera via fine-tuning pose estimation. GCCE 2022: 631-632 - [c260]Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
Estimating counterfactual treatment outcomes over time in multi-vehicle simulation. SIGSPATIAL/GIS 2022: 7:1-7:4 - [c259]Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Emergence of Collaborative Hunting via Multi-Agent Deep Reinforcement Learning. ICPR Workshops (1) 2022: 210-224 - [c258]Naren Bao, Alexander Carballo, Kazuya Takeda:
Driving Risk and Intervention: Subjective Risk Lane Change Dataset. IV 2022: 556-562 - [c257]Peng Ping, Weiping Ding, Yongkang Liu, Kazuya Takeda:
An enhanced driver's risk perception modeling based on gate recurrent unit network. IV 2022: 1234-1240 - [c256]Yingjie Niu, Ming Ding, Yuxiao Zhang, Kento Ohtani, Kazuya Takeda:
Auditory and visual warning information generation of the risk object in driving scenes based on weakly supervised learning. IV 2022: 1572-1577 - [c255]Yafu Tian, Alexander Carballo, Ruifeng Li, Kazuya Takeda:
Real-to-Synthetic: Generating Simulator Friendly Traffic Scenes from Graph Representation. IV 2022: 1615-1622 - [c254]Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Evaluation of Creating Scoring Opportunities for Teammates in Soccer via Trajectory Prediction. MLSA@PKDD/ECML 2022: 53-73 - [c253]Takumi Yamamoto, Kento Ohtani, Tomoki Hayashi, Alexander Carballo, Kazuya Takeda:
Efficient Training Method for Point Cloud-Based Object Detection Models by Combining Environmental Transitions and Active Learning. RiTA 2022: 292-303 - [c252]Yuki Sakashita, Yoshio Ishiguro, Kento Ohtani, Takanori Nishino, Kazuya Takeda:
Methods of Gently Notifying Pedestrians of Approaching Objects when Listening to Music. UIST (Adjunct Volume) 2022: 39:1-39:4 - [c251]Hanting Yang, Alexander Carballo, Kazuya Takeda:
Disentangled Bad Weather Removal GAN for Pedestrian Detection. VTC Spring 2022: 1-6 - [i21]Hiroshi Nakahara, Kazuya Takeda, Keisuke Fujii:
Estimating the Effect of Team Hitting Strategies Using Counterfactual Virtual Simulation in Baseball. CoRR abs/2206.01871 (2022) - [i20]Masakiyo Teranishi, Kazushi Tsutsui, Kazuya Takeda, Keisuke Fujii:
Evaluation of creating scoring opportunities for teammates in soccer via trajectory prediction. CoRR abs/2206.01899 (2022) - [i19]Keisuke Fujii, Koh Takeuchi, Atsushi Kuribayashi, Naoya Takeishi, Yoshinobu Kawahara, Kazuya Takeda:
Estimating counterfactual treatment outcomes over time in complex multi-agent scenarios. CoRR abs/2206.01900 (2022) - [i18]Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda, Tomoki Toda:
Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure. CoRR abs/2206.05929 (2022) - [i17]Yafu Tian, Alexander Carballo, Ruifeng Li, Kazuya Takeda:
RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent Vehicle in Complex Environments. CoRR abs/2207.12321 (2022) - [i16]Tomohiro Suzuki, Kazuya Takeda, Keisuke Fujii:
Automatic detection of faults in race walking from a smartphone camera: a comparison of an Olympic medalist and university athletes. CoRR abs/2208.12646 (2022) - 2021
- [j68]Kazushi Tsutsui, Keisuke Fujii, Kazutoshi Kudo, Kazuya Takeda:
Flexible prediction of opponent motion with internal representation in interception behavior. Biol. Cybern. 115(5): 473-485 (2021) - [j67]Chenxi Tu, Eijiro Takeuchi, Alexander Carballo, Chiyomi Miyajima, Kazuya Takeda:
Motion Analysis and Performance Improved Method for 3D LiDAR Sensor Data Compression. IEEE Trans. Intell. Transp. Syst. 22(1): 243-256 (2021) - [c250]Yoshio Ishiguro, Kazuya Takeda:
A Method for Location Initialization of Handheld Devices using Autonomous Driving Vehicles for Interactive Systems. AutomotiveUI (adjunct) 2021: 102-106 - [c249]Kana Bito, Itiro Siio, Yoshio Ishiguro, Kazuya Takeda:
Automatic Generation of Road Trip Summary Video for Reminiscence and Entertainment using Dashcam Video. AutomotiveUI 2021: 181-190 - [c248]Ibuki Kuroyanagi, Tomoki Hayashi, Yusuke Adachi, Takenori Yoshimura, Kazuya Takeda, Tomoki Toda:
An Ensemble Approach to Anomalous Sound Detection Based on Conformer-Based Autoencoder and Binary Classifier Incorporated with Metric Learning. DCASE 2021: 110-114 - [c247]Chaitanya Prasad Narisetty, Tomoki Hayashi, Ryunosuke Ishizaki, Shinji Watanabe, Kazuya Takeda:
Leveraging State-of-the-art ASR Techniques to Audio Captioning. DCASE 2021: 160-164 - [c246]Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda, Tomoki Toda:
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids. EUSIPCO 2021: 1995-1999 - [c245]Robin Karlsson, David Robert Wong, Simon Thompson, Kazuya Takeda:
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision. ITSC 2021: 812-819 - [c244]Atsushi Kuribayashi, Eijiro Takeuchi, Alexander Carballo, Yoshio Ishiguro, Kazuya Takeda:
A recognition phase Intervention Interface to Improve Naturalness of Autonomous Driving for Distracted Drivers. ITSC 2021: 1737-1744 - [c243]Patiphon Narksri, Hatem Darweesh, Eijiro Takeuchi, Yoshiki Ninomiya, Kazuya Takeda:
Visibility Estimation in Complex, Real-World Driving Environments Using High Definition Maps. ITSC 2021: 2847-2854 - [c242]Hatem Darweesh, Eijiro Takeuchi, Kazuya Takeda:
OpenPlanner 2.0: The Portable Open Source Planner for Autonomous Driving Applications. IV Workshops 2021: 313-318 - [c241]Aoki Takanose, Yuki Kitsukawa, Junichi Meguro, Eijiro Takeuchi, Alexander Carballo, Kazuya Takeda:
Eagleye: A Lane-Level Localization Using Low-Cost GNSS/IMU. IV Workshops 2021: 319-326 - [c240]Alexander Carballo, Abraham Monrroy, David Robert Wong, Patiphon Narksri, Jacob Lambert, Yuki Kitsukawa, Eijiro Takeuchi, Shinpei Kato, Kazuya Takeda:
Characterization of Multiple 3D LiDARs for Localization and Mapping Performance using the NDT Algorithm. IV Workshops 2021: 327-334 - [c239]Yafu Tian, Alexander Carballo, Ruifeng Li, Kazuya Takeda:
RSG-Net: Towards Rich Sematic Relationship Prediction for Intelligent Vehicle in Complex Environments. IV 2021: 546-552 - [c238]Naren Bao, Alexander Carballo, Kazuya Takeda:
Prediction of Personalized Driving Behaviors via Driver-Adaptive Deep Generative Models. IV 2021: 616-621 - [c237]Atsushi Kuribayashi, Eijiro Takeuchi, Alexander Carballo, Yoshio Ishiguro, Kazuya Takeda:
A Comparison of Methods for Sharing Recognition Information and Interventions to Assist Recognition in Autonomous Driving System. IV 2021: 622-629 - [c236]Ming Ding, Eijiro Takeuchi, Yoshio Ishiguro, Yoshiki Ninomiya, Nobuo Kawaguchi, Kazuya Takeda:
How to monitor multiple autonomous vehicles remotely with few observers: An active management method. IV 2021: 1168-1173 - [i15]Ibuki Kuroyanagi, Tomoki Hayashi, Kazuya Takeda, Tomoki Toda:
Anomalous Sound Detection Using a Binary Classification Model and Class Centroids. CoRR abs/2106.06151 (2021) - [i14]Robin Karlsson, David Robert Wong, Simon Thompson, Kazuya Takeda:
Learning a Model for Inferring a Spatial Road Lane Network Graph using Self-Supervision. CoRR abs/2107.01784 (2021) - [i13]Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda:
ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations. CoRR abs/2111.12460 (2021) - [i12]Yuxiao Zhang, Alexander Carballo, Hanting Yang, Kazuya Takeda:
Autonomous Driving in Adverse Weather Conditions: A Survey. CoRR abs/2112.08936 (2021) - 2020
- [j66]Ekim Yurtsever, Jacob Lambert, Alexander Carballo, Kazuya Takeda:
A Survey of Autonomous Driving: Common Practices and Emerging Technologies. IEEE Access 8: 58443-58469 (2020) - [j65]Jacob Lambert, Alexander Carballo, Abraham Monrroy Cano, Patiphon Narksri, David Robert Wong, Eijiro Takeuchi, Kazuya Takeda:
Performance Analysis of 10 Models of 3D LiDARs for Automated Driving. IEEE Access 8: 131699-131722 (2020) - [j64]Naren Bao, Alexander Carballo, Chiyomi Miyajima, Eijiro Takeuchi, Kazuya Takeda:
Personalized Subjective Driving Risk: Analysis and Prediction. J. Robotics Mechatronics 32(3): 503-519 (2020) - [j63]Kyle Sama, Yoichi Morales, Hailong Liu, Naoki Akai, Alexander Carballo, Eijiro Takeuchi, Kazuya Takeda:
Extracting Human-Like Driving Behaviors From Expert Driver Data Using Deep Learning. IEEE Trans. Veh. Technol. 69(9): 9315-9329 (2020) - [c235]Hikaru Nakatani, Patrick Lumban Tobing, Kazuya Takeda, Tomoki Toda:
Cross-Lingual Voice Conversion using a Cyclic Variational Auto-encoder and a WaveNet Vocoder. APSIPA 2020: 520-526 - [c234]Tomoya Yokoyama, Shunya Seiya, Eijiro Takeuchi, Kazuya Takeda:
Intervention Force-based Imitation Learning for Autonomous Navigation in Dynamic Environments. APSIPA 2020: 1679-1688 - [c233]Koichi Miyazaki, Tatsuya Komatsu, Tomoki Hayashi, Shinji Watanabe, Tomoki Toda, Kazuya Takeda:
Conformer-Based Sound Event Detection with Semi-Supervised Learning and Data Augmentation. DCASE 2020: 100-104 - [c232]Masakiyo Teranishi, Keisuke Fujii, Kazuya Takeda:
Trajectory prediction with imitation learning reflecting defensive evaluation in team sports. GCCE 2020: 124-125 - [c231]Koichi Miyazaki, Tatsuya Komatsu, Tomoki Hayashi, Shinji Watanabe, Tomoki Toda, Kazuya Takeda:
Weakly-Supervised Sound Event Detection with Self-Attention. ICASSP 2020: 66-70 - [c230]Takenori Yoshimura, Tomoki Hayashi, Kazuya Takeda, Shinji Watanabe:
End-to-End Automatic Speech Recognition Integrated with CTC-Based Voice Activity Detection. ICASSP 2020: 6999-7003 - [c229]Tomoki Hayashi, Ryuichi Yamamoto, Katsuki Inoue, Takenori Yoshimura, Shinji Watanabe, Tomoki Toda, Kazuya Takeda, Yu Zhang, Xu Tan:
Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit. ICASSP 2020: 7654-7658 - [c228]Shu Hikosaka, Shogo Seki, Tomoki Hayashi, Kazuhiro Kobayashi, Kazuya Takeda, Hideki Banno, Tomoki Toda:
Intelligibility Enhancement Based on Speech Waveform Modification Using Hearing Impairment. INTERSPEECH 2020: 4059-4063 - [c227]Alexander Carballo, Jacob Lambert, Abraham Monrroy, David Robert Wong, Patiphon Narksri, Yuki Kitsukawa, Eijiro Takeuchi, Shinpei Kato, Kazuya Takeda:
LIBRE: The Multiple 3D LiDAR Dataset. IV 2020: 1094-1101 - [c226]Shunya Seiya, Alexander Carballo, Eijiro Takeuchi, Kazuya Takeda:
Point Grid Map-Based Mid-To-Mid Driving without Object Detection. IV 2020: 2044-2051 - [c225]Chiaki Nakagaito, Takanori Nishino, Kazuya Takeda:
Generation of Origami Folding Animations from 3D Point Cloud Using Latent Space Interpolation. SIGGRAPH Asia Posters 2020: 30:1-30:2 - [i11]Takenori Yoshimura, Tomoki Hayashi, Kazuya Takeda, Shinji Watanabe:
End-to-End Automatic Speech Recognition Integrated With CTC-Based Voice Activity Detection. CoRR abs/2002.00551 (2020) - [i10]