Kento Ohtani

According to our database, Kento Ohtani authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

L-DIG: A GAN-Based Method for LiDAR Point Cloud Processing under Snow Driving Conditions.

Yuxiao Zhang, Ming Ding, Hanting Yang, Yingjie Niu, Yan Feng, Kento Ohtani, Kazuya Takeda

Sensors, October, 2023

Learning to Predict Navigational Patterns From Partial Observations.

Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda

IEEE Robotics Autom. Lett., September, 2023

DRUformer: Enhancing the driving scene Important object detection with driving relationship self-understanding.

Yingjie Niu, Ming Ding, Keisuke Fujii, Kento Ohtani, Alexander Carballo, Kazuya Takeda

CoRR, 2023

Predictive World Models from Real-World Partial Observations.

Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda

Proceedings of the IEEE International Conference on Mobility, 2023

Synthesizing Realistic Snow Effects in Driving Images Using GANs and Real Data with Semantic Guidance.

Hanting Yang, Ming Ding, Alexander Carballo, Yuxiao Zhang, Kento Ohtani, Yingjie Niu, Maoning Ge, Yan Feng, Kazuya Takeda

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022

Methods of Gently Notifying Pedestrians of Approaching Objects when Listening to Music.

Yuki Sakashita, Yoshio Ishiguro, Kento Ohtani, Takanori Nishino, Kazuya Takeda

Proceedings of the Adjunct Publication of the 35th Annual ACM Symposium on User Interface Software and Technology, 2022

Efficient Training Method for Point Cloud-Based Object Detection Models by Combining Environmental Transitions and Active Learning.

Takumi Yamamoto, Kento Ohtani, Tomoki Hayashi, Alexander Carballo, Kazuya Takeda

Proceedings of the Robot Intelligence Technology and Applications 7, 2022

Auditory and visual warning information generation of the risk object in driving scenes based on weakly supervised learning.

Yingjie Niu, Ming Ding, Yuxiao Zhang, Kento Ohtani, Kazuya Takeda

Proceedings of the 2022 IEEE Intelligent Vehicles Symposium, 2022

Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment.

Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda

Proceedings of the 33rd British Machine Vision Conference 2022, 2022

2021

ViCE: Self-Supervised Visual Concept Embeddings as Contextual and Pixel Appearance Invariant Semantic Representations.

Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda

CoRR, 2021

Driving Behavior Aware Caption Generation for Egocentric Driving Videos Using In-Vehicle Sensors^*.

Hongkuan Zhang, Koichi Takeda, Ryohei Sasano, Yusuke Adachi, Kento Ohtani

Proceedings of the IEEE Intelligent Vehicles Symposium Workshops, 2021

2019

Improving target selection accuracy for vehicle touch screens.

Kosuke Ito, Kento Ohtani, Yoshio Ishiguro, Takanori Nishino, Kazuya Takeda

Proceedings of the Adjunct Proceedings of the 11th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, 2019

2017

A Single-Dimensional Interface for Arranging Multiple Audio Sources in Three-Dimensional Space.

Kento Ohtani, Kenta Niwa, Kazuya Takeda

IEICE Trans. Inf. Syst., 2017

Music staging AI.

Kenta Niwa, Kento Ohtani, Kazuya Takeda

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017