| 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 | 3 | 2022 |
| R-cut: Enhancing explainability in vision transformers with relationship weighted out and cut Y Niu, M Ding, M Ge, R Karlsson, Y Zhang, A Carballo, K Takeda Sensors 24 (9), 2695, 2024 | 2 | 2024 |
| 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 | 1 | 2023 |
| 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 |
| 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 |
| 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 | | 2023 |
| LiDAR Point Cloud Translation Between Snow and Clear Conditions Using Depth Images and GANs Y Zhang, M Ding, H Yang, Y Niu, Y Feng, M Ge, A Carballo, K Takeda 2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023 | | 2023 |
| Open-world driving scene segmentation via multi-stage and multi-modality fusion of vision-language embedding Y Niu, M Ding, Y Zhang, M Ge, H Yang, K Takeda 2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023 | | 2023 |
Kazuya TakedaDept. of Intelligent Systems, School of Informatics, Nagoya UniversityVerified email at nuee.nagoya-u.ac.jp
