| NeRF--: Neural Radiance Fields Without Known Camera Parameters Z Wang, S Wu, W Xie, M Chen, VA Prisacariu arXiv preprint arXiv:2102.07064, 2021 | 580 | 2021 |
| Nope-nerf: Optimising neural radiance field with no pose prior W Bian, Z Wang, K Li, JW Bian, VA Prisacariu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 186 | 2023 |
| Flownet3d++: Geometric losses for deep scene flow estimation Z Wang, S Li, H Howard-Jenkins, V Prisacariu, M Chen Proceedings of the IEEE/CVF winter conference on applications of computer …, 2020 | 120 | 2020 |
| DFNet: Enhance Absolute Pose Regression with Direct Feature Matching S Chen, X Li, Z Wang, VA Prisacariu Proceedings of the European Conference on Computer Vision (ECCV), 2022 | 63 | 2022 |
| Direct-PoseNet: Absolute Pose Regression with Photometric Consistency S Chen, Z Wang, V Prisacariu 2021 International Conference on 3D Vision (3DV), 2021, 2021 | 62 | 2021 |
| Neighbourhood-Insensitive Point Cloud Normal Estimation Network Z Wang, VA Prisacariu British Machine Vision Virtual Conference (BMVC) 2020, 2020 | 17 | 2020 |
| Refinement for absolute pose regression with neural feature synthesis S Chen, Y Bhalgat, X Li, J Bian, K Li, Z Wang, VA Prisacariu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 11 | 2024 |
| Ray-ONet: Efficient 3D Reconstruction From A Single RGB Image W Bian, Z Wang, K Li, V Prisacariu British Machine Vision Virtual Conference (BMVC) 2021, 2021 | 10 | 2021 |
| Gsloc: Efficient camera pose refinement via 3d gaussian splatting C Liu, S Chen, Y Bhalgat, S Hu, M Cheng, Z Wang, VA Prisacariu, ... arXiv preprint arXiv:2408.11085, 2024 | 5 | 2024 |
| CatFree3D: Category-agnostic 3D Object Detection with Diffusion W Bian, Z Wang, A Vedaldi arXiv preprint arXiv:2408.12747, 2024 | 1 | 2024 |
| CrossScore: Towards Multi-View Image Evaluation and Scoring Z Wang, W Bian, VA Prisacariu Proceedings of the European Conference on Computer Vision (ECCV), 2024 | | 2024 |
Victor Adrian PrisacariuAssociate Professor, University of OxfordBestätigte E-Mail-Adresse bei robots.ox.ac.uk
