| Densepose: Dense human pose estimation in the wild RA Güler, N Neverova, I Kokkinos Computer Vision and Pattern Recognition (CVPR), 2018 | 1667 | 2018 |
| Xcit: Cross-covariance image transformers A Ali, H Touvron, M Caron, P Bojanowski, M Douze, A Joulin, I Laptev, ... Advances in neural information processing systems 34, 20014-20027, 2021 | 551 | 2021 |
| Houdini: Fooling deep structured visual and speech recognition models with adversarial examples MM Cisse, Y Adi, N Neverova, J Keshet Advances in Neural Information Processing Systems (NIPS), 2017 | 534* | 2017 |
| ModDrop: adaptive multi-modal gesture recognition N Neverova, C Wolf, G Taylor, F Nebout IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014 | 449 | 2014 |
| Multi-scale deep learning for gesture detection and localization N Neverova, C Wolf, G Taylor, F Nebout ECCV ChaLearn Workshop on Looking at People, 2014 | 301 | 2014 |
| Predicting Deeper into the Future of Semantic Segmentation N Neverova, P Luc, C Couprie, J Verbeek, Y LeCun International Conference on Computer Vision (ICCV), 2017 | 297* | 2017 |
| Exemplar fine-tuning for 3d human model fitting towards in-the-wild 3d human pose estimation H Joo, N Neverova, A Vedaldi 2021 International Conference on 3D Vision (3DV), 42-52, 2021 | 285 | 2021 |
| Dense Pose Transfer N Neverova, RA Guler, I Kokkinos European Conference on Computer Vision (ECCV), 2018 | 260 | 2018 |
| Learning human identity from motion patterns N Neverova, C Wolf, G Lacey, L Fridman, D Chandra, B Barbello, G Taylor IEEE Access 4, 1810-1820, 2016 | 225 | 2016 |
| Object Level Visual Reasoning in Videos F Baradel, N Neverova, C Wolf, J Mille, G Mori European Conference on Computer Vision (ECCV), 2018 | 196 | 2018 |
| Training vision transformers for image retrieval A El-Nouby, N Neverova, I Laptev, H Jégou arXiv preprint arXiv:2102.05644, 2021 | 181 | 2021 |
| C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion D Novotny, N Ravi, B Graham, N Neverova, A Vedaldi International Conference on Computer Vision (ICCV), 2019 | 167* | 2019 |
| Banmo: Building animatable 3d neural models from many casual videos G Yang, M Vo, N Neverova, D Ramanan, A Vedaldi, H Joo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 166 | 2022 |
| Cotracker: It is better to track together N Karaev, I Rocco, B Graham, N Neverova, A Vedaldi, C Rupprecht European Conference on Computer Vision, 18-35, 2025 | 147 | 2025 |
| Cophy: Counterfactual learning of physical dynamics F Baradel, N Neverova, J Mille, G Mori, C Wolf arXiv preprint arXiv:1909.12000, 2019 | 102 | 2019 |
| Continuous surface embeddings N Neverova, D Novotny, M Szafraniec, V Khalidov, P Labatut, A Vedaldi Advances in Neural Information Processing Systems 33, 17258-17270, 2020 | 81 | 2020 |
| Hand pose estimation through weakly-supervised learning of a rich intermediate representation N Neverova, C Wolf, F Nebout, G Taylor Computer Vision and Image Understanding (CVIU), 2017 | 76* | 2017 |
| A Multi-scale Approach to Gesture Detection and Recognition N Neverova, C Wolf, G Paci, G Sommavilla, G Taylor, F Nebout Computer Vision Workshops (ICCVW), 2013 IEEE International Conference on …, 2013 | 73 | 2013 |
| Transferring dense pose to proximal animal classes A Sanakoyeu, V Khalidov, MS McCarthy, A Vedaldi, N Neverova Proceedings of the IEEE/CVF Conference on computer vision and pattern …, 2020 | 70 | 2020 |
| Multi-task, multi-domain learning: application to semantic segmentation and pose regression D Fourure, R Emonet, E Fromont, D Muselet, N Neverova, A Trémeau, ... Neurocomputing 251, 68-80, 2017 | 70 | 2017 |
Andrea VedaldiUniversity of OxfordVerified email at robots.ox.ac.uk