Kento Ohtani
Kento Ohtani
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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
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
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
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
Music staging AI
K Niwa, K Ohtani, K Takeda
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
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
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
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
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
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
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
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
Ai framework to arrange audio objects according to listener preferences
K Ohtani, K Niwa, K Takeda
The Journal of the Acoustical Society of America 140 (4_Supplement), 3060-3060, 2016
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
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
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
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
Methods of Gently Notifying Pedestrians of Approaching Objects when Listening to Music
Y Sakashita, Y Ishiguro, K Ohtani, T Nishino, K Takeda
Adjunct Proceedings of the 35th Annual ACM Symposium on User Interface …, 2022
End-to-end learning-based driving system with branches by emphasizing target direction
S Seiya, K Ohtani, A Carballo, E Takeuchi, K Takeda
Transactions of Society of Automotive Engineers of Japan 52 (6), 1368-1374, 2021
ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations.
R Karlsson, T Hayashi, K Fujii, A Carballo, K Ohtani, K Takeda
CoRR, 2021
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