| Predictive world models from real-world partial observations R Karlsson, A Carballo, K Fujii, K Ohtani, K Takeda 2023 IEEE International Conference on Mobility, Operations, Services and …, 2023 | 7 | 2023 |
| Auditory and visual warning information generation of the risk object in driving scenes based on weakly supervised learning Y Niu, M Ding, Y Zhang, K Ohtani, K Takeda 2022 IEEE Intelligent Vehicles Symposium (IV), 1572-1577, 2022 | 6 | 2022 |
| Adaptive dereverberation method based on complementary Wiener filter and modulation transfer function K Ohtani, T Komatsu, T Nishino, K Takeda Proc. REverberant Voice Enhancement and Recognition Benchmark (REVERB) challenge, 2014 | 5 | 2014 |
| Driving behavior aware caption generation for egocentric driving videos using in-vehicle sensors H Zhang, K Takeda, R Sasano, Y Adachi, K Ohtani 2021 IEEE Intelligent Vehicles Symposium Workshops (IV Workshops), 287-292, 2021 | 4 | 2021 |
| L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions Y Zhang, M Ding, H Yang, Y Niu, Y Feng, K Ohtani, K Takeda Sensors 23 (21), 8660, 2023 | 3 | 2023 |
| Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance H Yang, M Ding, A Carballo, Y Zhang, K Ohtani, Y Niu, M Ge, Y Feng, ... 2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023 | 3 | 2023 |
| ViCE: Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment R Karlsson, T Hayashi, K Fujii, A Carballo, K Ohtani, K Takeda arXiv preprint arXiv:2111.12460, 2021 | 3 | 2021 |
| Music staging AI K Niwa, K Ohtani, K Takeda 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 3 | 2017 |
| Learning to predict navigational patterns from partial observations R Karlsson, A Carballo, F Lepe-Salazar, K Fujii, K Ohtani, K Takeda IEEE Robotics and Automation Letters, 2023 | 2 | 2023 |
| Improving target selection accuracy for vehicle touch screens K Ito, K Ohtani, Y Ishiguro, T Nishino, K Takeda Proceedings of the 11th International Conference on Automotive User …, 2019 | 2 | 2019 |
| A single-dimensional interface for arranging multiple audio sources in three-dimensional space K Ohtani, K Niwa, K Takeda IEICE TRANSACTIONS on Information and Systems 100 (10), 2635-2643, 2017 | 2 | 2017 |
| Ai framework to arrange audio objects according to listener preferences K Ohtani, K Niwa, K Takeda Journal of the Acoustical Society of America 140 (4_Supplement), 3060-3060, 2016 | 2 | 2016 |
| Objective and subjective evaluation of complementary Wiener filter for speech dereverberation K Ohtani, T Komatsu, K Kondo, T Nishino, K Takeda Proceedings of Meetings on Acoustics 19 (1), 2013 | 2 | 2013 |
| Detecting risky lane changes using ego and surrounding vehicle information integrated by a multi-modal variational autoencoder K Tsuzuki, C Miyajima, K Ohtani, K Takeda, S YAMAZAKI, M MORI, ... Proc. Int. Symposium on Future Active Safety Technology toward zero traffic …, 2019 | 1 | 2019 |
| Multimodal Trajectory Prediction for Diverse Vehicle Types in Autonomous Driving with Heterogeneous Data and Physical Constraints M Ge, K Ohtani, M Ding, Y Niu, Y Zhang, K Takeda Sensors 24 (22), 7323, 2024 | | 2024 |
| Open-vocabulary predictive world models from sensor observations R Karlsson, R Asfandiyarov, A Carballo, K Fujii, K Ohtani, K Takeda Sensors (Basel, Switzerland) 24 (14), 4735, 2024 | | 2024 |
| DRUformer: Enhancing driving scene important object detection with driving scene relationship understanding Y Niu, M Ding, K Fujii, K Ohtani, A Carballo, K Takeda IEEE Access, 2024 | | 2024 |
| LiDAR Point Cloud Augmentation for Adverse Conditions Using Conditional Generative Model Y Zhang, M Ding, H Yang, Y Niu, M Ge, K Ohtani, C Zhang, K Takeda Remote Sensing 16 (12), 2247, 2024 | | 2024 |
| DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding Y Niu, M Ding, K Fujii, K Ohtani, A Carballo, K Takeda arXiv preprint arXiv:2311.06497, 2023 | | 2023 |
| Efficient Training Method for Point Cloud-Based Object Detection Models by Combining Environmental Transitions and Active Learning T Yamamoto, K Ohtani, T Hayashi, A Carballo, K Takeda International Conference on Robot Intelligence Technology and Applications …, 2022 | | 2022 |
Kazuya TakedaDept. of Intelligent Systems, School of Informatics, Nagoya UniversityVerified email at nuee.nagoya-u.ac.jp
