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2020 – today
- 2024
[j6]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: 67589-67599 (2024)- [j5]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): 2247 (2024) - [j4]Robin Karlsson, Ruslan Asfandiyarov, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Open-Vocabulary Predictive World Models from Sensor Observations. Sensors 24(14): 4735 (2024) - 2023
- [j3]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): 5592-5599 (2023) - [j2]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): 8660 (2023) - [c9]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: 1-6 - [c8]Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Predictive World Models from Real-World Partial Observations. MOST 2023: 152-166 - [i4]Robin Karlsson, Alexander Carballo, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Predictive World Models from Real-World Partial Observations. CoRR abs/2301.04783 (2023) - [i3]Robin Karlsson, Alexander Carballo, Francisco Lepe Salazar, Keisuke Fujii, Kento Ohtani, Kazuya Takeda:
Learning to Predict Navigational Patterns from Partial Observations. CoRR abs/2304.13242 (2023) - [i2]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 abs/2311.06497 (2023) - 2022
- [c7]Robin Karlsson, Tomoki Hayashi, Keisuke Fujii, Alexander Carballo, Kento Ohtani, Kazuya Takeda:
Improving Dense Representation Learning by Superpixelization and Contrasting Cluster Assignment. BMVC 2022: 699 - [c6]Yingjie 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: 1572-1577 - [c5]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: 292-303 - [c4]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: 39:1-39:4 - 2021
- [c3]Hongkuan Zhang, Koichi Takeda, Ryohei Sasano, Yusuke Adachi, Kento Ohtani:
Driving Behavior Aware Caption Generation for Egocentric Driving Videos Using In-Vehicle Sensors*. IV Workshops 2021: 287-292 - [i1]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 abs/2111.12460 (2021)
2010 – 2019
- 2019
- [c2]Kosuke Ito, Kento Ohtani, Yoshio Ishiguro, Takanori Nishino, Kazuya Takeda:
Improving target selection accuracy for vehicle touch screens. AutomotiveUI (adjunct) 2019: 176-180 - 2017
- [j1]Kento Ohtani, Kenta Niwa, Kazuya Takeda:
A Single-Dimensional Interface for Arranging Multiple Audio Sources in Three-Dimensional Space. IEICE Trans. Inf. Syst. 100-D(10): 2635-2643 (2017) - [c1]Kenta Niwa, Kento Ohtani, Kazuya Takeda:
Music staging AI. ICASSP 2017: 6588-6589
Coauthor Index
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