| Ga-net: Guided aggregation net for end-to-end stereo matching F Zhang, V Prisacariu, R Yang, PHS Torr Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 873 | 2019 |
| NeRF--: Neural radiance fields without known camera parameters Z Wang, S Wu, W Xie, M Chen, VA Prisacariu | 629 | 2021 |
| Very high frame rate volumetric integration of depth images on mobile devices O Kähler, VA Prisacariu, CY Ren, X Sun, P Torr, D Murray IEEE Transactions on Visualization and Computer Graphics 21 (11), 1241-1250, 2015 | 374 | 2015 |
| The temporal opportunist: Self-supervised multi-frame monocular depth J Watson, O Mac Aodha, V Prisacariu, G Brostow, M Firman Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 324 | 2021 |
| PWP3D: Real-time segmentation and tracking of 3D objects VA Prisacariu, ID Reid International journal of computer vision 98, 335-354, 2012 | 272 | 2012 |
| Relocnet: Continuous metric learning relocalisation using neural nets V Balntas, S Li, V Prisacariu Proceedings of the European conference on computer vision (ECCV), 751-767, 2018 | 263 | 2018 |
| Incremental dense semantic stereo fusion for large-scale semantic scene reconstruction V Vineet, O Miksik, M Lidegaard, M Nießner, S Golodetz, VA Prisacariu, ... 2015 IEEE international conference on robotics and automation (ICRA), 75-82, 2015 | 254 | 2015 |
| fastHOG-a real-time GPU implementation of HOG V Prisacariu, I Reid Department of Engineering Science 2310 (9), 2009 | 231 | 2009 |
| 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 | 205 | 2023 |
| Domain-invariant stereo matching networks F Zhang, X Qi, R Yang, V Prisacariu, B Wah, P Torr Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 204 | 2020 |
| Dense reconstruction using 3D object shape priors A Dame, VA Prisacariu, CY Ren, I Reid Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013 | 190 | 2013 |
| Dual-resolution correspondence networks X Li, K Han, S Li, V Prisacariu Advances in Neural Information Processing Systems 33, 17346-17357, 2020 | 184 | 2020 |
| Dense decoder shortcut connections for single-pass semantic segmentation P Bilinski, V Prisacariu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 159 | 2018 |
| Real-time large-scale dense 3d reconstruction with loop closure O Kähler, VA Prisacariu, DW Murray European Conference on Computer Vision, 500-516, 2016 | 159 | 2016 |
| InfiniTAM v3: A Framework for Large-Scale 3D Reconstruction with Loop Closure VA Prisacariu, O Kähler, S Golodetz, M Sapienza, T Cavallari, PHS Torr, ... arXiv preprint arXiv:1708.00783, 2017 | 135 | 2017 |
| Separable flow: Learning motion cost volumes for optical flow estimation F Zhang, OJ Woodford, VA Prisacariu, PHS Torr Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 129 | 2021 |
| 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 | 124 | 2020 |
| Simplerecon: 3d reconstruction without 3d convolutions M Sayed, J Gibson, J Watson, V Prisacariu, M Firman, C Godard European Conference on Computer Vision, 1-19, 2022 | 117 | 2022 |
| Dsconv: Efficient convolution operator MG Nascimento, R Fawcett, VA Prisacariu Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 116* | 2019 |
| Correspondence networks with adaptive neighbourhood consensus S Li, K Han, TW Costain, H Howard-Jenkins, V Prisacariu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 94 | 2020 |
Philip TorrProfessor, University of OxfordEmail confirmado em eng.ox.ac.uk
