| Toward driving scene understanding: A dataset for learning driver behavior and causal reasoning V Ramanishka, YT Chen, T Misu, K Saenko Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 362 | 2018 |
| Grounding human-to-vehicle advice for self-driving vehicles J Kim, T Misu, YT Chen, A Tawari, J Canny Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 113 | 2019 |
| Speech-based interactive information guidance system using question-answering technique T Misu, T Kawahara 2007 IEEE International Conference on Acoustics, Speech and Signal …, 2007 | 94* | 2007 |
| A bootstrapping approach for developing language model of new spoken dialogue systems by selecting web texts T Misu, T Kawahara Ninth International Conference on Spoken Language Processing, 2006 | 79* | 2006 |
| Driver behavior and performance with augmented reality pedestrian collision warning: An outdoor user study H Kim, JL Gabbard, AM Anon, T Misu IEEE transactions on visualization and computer graphics 24 (4), 1515-1524, 2018 | 78 | 2018 |
| Augmented reality interface design approaches for goal-directed and stimulus-driven driving tasks C Merenda, H Kim, K Tanous, JL Gabbard, B Feichtl, T Misu, C Suga IEEE transactions on visualization and computer graphics 24 (11), 2875-2885, 2018 | 74 | 2018 |
| Reinforcement learning of question-answering dialogue policies for virtual museum guides T Misu, K Georgila, A Leuski, D Traum Proceedings of the 13th Annual Meeting of the Special Interest Group on …, 2012 | 70 | 2012 |
| Look at me: Augmented reality pedestrian warning system using an in-vehicle volumetric head up display H Kim, A Miranda Anon, T Misu, N Li, A Tawari, K Fujimura Proceedings of the 21st International Conference on Intelligent User …, 2016 | 58 | 2016 |
| Toward adaptive trust calibration for level 2 driving automation K Akash, N Jain, T Misu Proceedings of the 2020 international conference on multimodal interaction …, 2020 | 55 | 2020 |
| Statistical dialog management applied to WFST-based dialog systems C Hori, K Ohtake, T Misu, H Kashioka, S Nakamura 2009 IEEE International Conference on Acoustics, Speech and Signal …, 2009 | 55 | 2009 |
| Vehicle data selection system for modifying automated driving functionalities and method thereof T Misu, LI Nanxiang, A Tawari US Patent 10,759,424, 2020 | 51 | 2020 |
| Saliency based awareness modeling T Misu US Patent 9,747,812, 2017 | 45 | 2017 |
| System and method for learning naturalistic driving behavior based on vehicle dynamic data T Misu, YT Chen US Patent 11,584,379, 2023 | 44 | 2023 |
| Modeling spoken decision support dialogue and optimization of its dialogue strategy T Misu, K Sugiura, T Kawahara, K Ohtake, C Hori, H Kashioka, H Kawai, ... ACM Transactions on Speech and Language Processing (TSLP) 7 (3), 1-18, 2011 | 39* | 2011 |
| Bayes risk-based dialogue management for document retrieval system with speech interface T Misu, T Kawahara Speech Communication 52 (1), 61-71, 2010 | 37 | 2010 |
| Boosting standard classification architectures through a ranking regularizer A Taha, YT Chen, T Misu, A Shrivastava, L Davis Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 32* | 2020 |
| Driving anomaly detection with conditional generative adversarial network using physiological and can-bus data Y Qiu, T Misu, C Busso 2019 International Conference on Multimodal Interaction, 164-173, 2019 | 31 | 2019 |
| Annotating communicative function and semantic content in dialogue act for construction of consulting dialogue systems T Misu, K Ohtake, C Hori, H Kashioka, S Nakamura Tenth Annual Conference of the International Speech Communication Association, 2009 | 31* | 2009 |
| Dialog management using weighted finite-state transducers. C Hori, K Ohtake, T Misu, H Kashioka, S Nakamura Interspeech, 211-214, 2008 | 31 | 2008 |
| Driver behavior event detection for manual annotation by clustering of the driver physiological signals N Li, T Misu, A Miranda 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 27 | 2016 |
Kumar AkashPrincipal Scientist, Honda Research Institute USA, Inc.Email verificata su honda-ri.com
