| Using multiple hypotheses to improve depth-maps for multi-view stereo NDF Campbell, G Vogiatzis, C Hernández, R Cipolla European Conference on Computer Vision, 766-779, 2008 | 497 | 2008 |
| Patch Based Synthesis for Single Depth Image Super-Resolution O Mac Aodha, NDF Campbell, A Nair, GJ Brostow European Conference on Computer Vision, 2012 | 255 | 2012 |
| Hierarchical subquery evaluation for active learning on a graph O Mac Aodha, NDF Campbell, J Kautz, G Brostow Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 246 | 2014 |
| Automatic 3D object segmentation in multiple views using volumetric graph-cuts NDF Campbell, G Vogiatzis, C Hernandez, R Cipolla Image and Vision Computing 28 (1), 14-25, 2010 | 208 | 2010 |
| Automatic 3D object segmentation in multiple views using volumetric graph-cuts NDF Campbell, G Vogiatzis, C Hernández, R Cipolla British Machine Vision Conference 1, 530-539, 2007 | 208 | 2007 |
| Learning a manifold of fonts NDF Campbell, J Kautz ACM Transactions on Graphics 33 (4), 2014 | 171 | 2014 |
| Direct, Dense, and Deformable: Template-Based Non-Rigid 3D Reconstruction from RGB Video R Yu, C Russell, NDF Campbell, L Agapito IEEE International Conference on Computer Vision (ICCV 2016), 2015 | 108 | 2015 |
| Structured Uncertainty Prediction Networks G Dorta, S Vicente, L Agapito, NDF Campbell, I Simpson Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 76 | 2018 |
| MegaParallax: Casual 360° Panoramas with Motion Parallax T Bertel, NDF Campbell, C Richardt IEEE transactions on visualization and computer graphics 25 (5), 1828-1835, 2019 | 52 | 2019 |
| Roto++: accelerating professional rotoscoping using shape manifolds W Li, F Viola, J Starck, GJ Brostow, NDF Campbell ACM Transactions on Graphics, 2016 | 51 | 2016 |
| Automatic Object Segmentation from Calibrated Images NDF Campbell, G Vogiatzis, C Hernandez, R Cipolla European Conference on Visual Media Production (CVMP), 126-137, 2011 | 51 | 2011 |
| Regularising Inverse Problems with Generative Machine Learning Models M Duff, NDF Campbell, MJ Ehrhardt arXiv preprint arXiv:2107.11191, 2021 | 36 | 2021 |
| DiverseNet: When One Right Answer is not Enough M Firman, NDF Campbell, L Agapito, GJ Brostow Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 36 | 2018 |
| 032 A novel human-assisted computer algorithm for identification of hand bones on plain radiographs in psoriatic arthritis AM Rambojun, W Tillett, NDF Campbell, T Shardlow Rheumatology 58 (Supplement_3), kez106. 031, 2019 | 34* | 2019 |
| Fully-Connected CRFs with Non-Parametric Pairwise Potentials NDF Campbell, K Subr, J Kautz IEEE Conference on Computer Vision and Pattern Recognition, CVPR, 2013 | 34 | 2013 |
| Understanding Training-Data Leakage from Gradients in Neural Networks for Image Classification C Chen, NDF Campbell arXiv preprint arXiv:2111.10178, 2021 | 27 | 2021 |
| The GAN that warped: Semantic attribute editing with unpaired data G Dorta, S Vicente, NDF Campbell, IJA Simpson Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 27 | 2020 |
| Gaussian process latent variable alignment learning I Kazlauskaite, CH Ek, N Campbell The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 25 | 2019 |
| Monotonic Gaussian Process Flows I Ustyuzhaninov, I Kazlauskaite, CH Ek, N Campbell International Conference on Artificial Intelligence and Statistics, 3057-3067, 2020 | 24 | 2020 |
| Compositional uncertainty in deep Gaussian processes I Ustyuzhaninov, I Kazlauskaite, M Kaiser, E Bodin, NDF Campbell, CH Ek Conference on Uncertainty in Artificial Intelligence, 480-489, 2020 | 23 | 2020 |
Carl Henrik EkUniversity of Cambridge在 cam.ac.uk 的电子邮件经过验证
