Kento Ohtani

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Semantic Representations

Weakly Supervised Learning

Scene Recognition

Partial Observations

Top Venues

IEEE Robotics Autom. Lett.

Publications

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 (2024)
Robin Karlsson, Ruslan Asfandiyarov, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Open-Vocabulary Predictive World Models from Sensor Observations. Sensors 24 (14) (2024)
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) (2024)
Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Learning to Predict Navigational Patterns from Partial Observations. CoRR (2023)
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) (2023)
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)
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 (2023)
Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Predictive World Models from Real-World Partial Observations. MOST (2023)
Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda
Predictive World Models from Real-World Partial Observations. CoRR (2023)
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) (2023)
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)
Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda
Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment. BMVC (2022)
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)
Yinjie 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)
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 (2021)
Hongkuan Zhang, Koichi Takeda, Ryohei Sasano, Yusuke Adachi, Kento Ohtani
. IV Workshops (2021)
Kosuke Ito, Kento Ohtani, Yoshio Ishiguro, Takanori Nishino, Kazuya Takeda
Improving target selection accuracy for vehicle touch screens. AutomotiveUI (adjunct) (2019)
Kento Ohtani, Kenta Niwa, Kazuya Takeda
A Single-Dimensional Interface for Arranging Multiple Audio Sources in Three-Dimensional Space. IEICE Trans. Inf. Syst. (10) (2017)
Kenta Niwa, Kento Ohtani, Kazuya Takeda
Music staging AI. ICASSP (2017)