| Multi-weather city: Adverse weather stacking for autonomous driving V Mușat, I Fursa, P Newman, F Cuzzolin, A Bradley Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 37 | 2021 |
| Vision in adverse weather: Augmentation using CycleGANs with various object detectors for robust perception in autonomous racing I Teeti, V Musat, S Khan, A Rast, F Cuzzolin, A Bradley arXiv preprint arXiv:2201.03246, 2022 | 11 | 2022 |
| Reducing Steganography In Cycle-consistency GANs. H Porav, V Musat, P Newman CVPR Workshops, 78-82, 2019 | 11 | 2019 |
| Worsening perception: Real-time degradation of autonomous vehicle perception performance for simulation of adverse weather conditions I Fursa, E Fandi, V Musat, J Culley, E Gil, I Teeti, L Bilous, IV Sluis, A Rast, ... arXiv preprint arXiv:2103.02760, 2021 | 9 | 2021 |
| Rainy screens: Collecting rainy datasets, indoors H Porav, VN Musat, T Bruls, P Newman arXiv preprint arXiv:2003.04742, 2020 | 9 | 2020 |
| Depth-sims: Semi-parametric image and depth synthesis V Musat, D De Martini, M Gadd, P Newman 2022 International Conference on Robotics and Automation (ICRA), 2388-2394, 2022 | 4 | 2022 |
| OORD: The Oxford Offroad Radar Dataset M Gadd, D De Martini, O Bartlett, P Murcutt, M Towlson, M Widojo, ... arXiv preprint arXiv:2403.02845, 2024 | 2 | 2024 |
| NeuralFloors: Conditional street-level scene generation from BEV semantic maps via Neural Fields V Muşat, D De Martini, M Gadd, P Newman IEEE Robotics and Automation Letters, 2024 | | 2024 |
Paul NewmanProfessor University of Oxford在 robots.ox.ac.uk 的电子邮件经过验证
