| Clip is also a good teacher: A new learning framework for inductive zero-shot semantic segmentation J Chen, D Deguchi, C Zhang, X Zheng, H Murase arXiv preprint arXiv:2310.02296, 2023 | 5 | 2023 |
| Frozen is better than learning: A new design of prototype-based classifier for semantic segmentation J Chen, D Deguchi, C Zhang, X Zheng, H Murase Pattern Recognition 152, 110431, 2024 | 4 | 2024 |
| More persuasive explanation method for end-to-end driving models C Zhang, D Deguchi, Y Okafuji, H Murase IEEE Access 11, 4270-4282, 2023 | 3 | 2023 |
| Refined Objectification for Improving End-to-End Driving Model Explanation Persuasibility* C Zhang, D Deguchi, H Murase 2023 IEEE Intelligent Vehicles Symposium (IV), 1-6, 2023 | 2 | 2023 |
| Evaluation of visualization performance of CNN models using driver model C Zhang, Y Okafuji, T Wada 2021 IEEE/SICE International Symposium on System Integration (SII), 739-744, 2021 | 2 | 2021 |
| Reliability evaluation of visualization performance of convolutional neural network models for automated driving C Zhang, Y Okafuji, T Wada International journal of automotive engineering 12 (2), 41-47, 2021 | 2 | 2021 |
| Toward Explainable End-to-End Driving Models via Simplified Objectification Constraints C Zhang, D Deguchi, J Chen, H Murase IEEE Transactions on Intelligent Transportation Systems, 2024 | | 2024 |
| Generalizable Semantic Vision Query Generation for Zero-shot Panoptic and Semantic Segmentation J Chen, D Deguchi, C Zhang, H Murase arXiv preprint arXiv:2402.13697, 2024 | | 2024 |
| Comprehensive Evaluation of End-to-End Driving Model Explanations for Autonomous Vehicles C Zhang, D Deguchi, J Chen, H Murase Proceedings Copyright 509, 518, 2024 | | 2024 |
| A Machine Learning-Based Approach to Analyze Information Used for Steering Control Y Okafuji, T Sugiura, R Osugi, C Zhang, T Wada IEEE Access 9, 94239-94250, 2021 | | 2021 |
Daisuke Deguchi名古屋大学情報学研究科知能システム学専攻在 nagoya-u.jp 的电子邮件经过验证
