Densepose: Dense human pose estimation in the wild RA Güler, N Neverova, I Kokkinos Computer Vision and Pattern Recognition (CVPR), 2018 | 1531 | 2018 |
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 | 505* | 2017 |
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 | 455 | 2021 |
ModDrop: adaptive multi-modal gesture recognition N Neverova, C Wolf, G Taylor, F Nebout IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2014 | 420 | 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 | 290 | 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 | 289* | 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 | 251 | 2021 |
Dense Pose Transfer N Neverova, RA Guler, I Kokkinos European Conference on Computer Vision (ECCV), 2018 | 247 | 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 | 212 | 2016 |
Object Level Visual Reasoning in Videos F Baradel, N Neverova, C Wolf, J Mille, G Mori European Conference on Computer Vision (ECCV), 2018 | 187 | 2018 |
Training vision transformers for image retrieval A El-Nouby, N Neverova, I Laptev, H Jégou arXiv preprint arXiv:2102.05644, 2021 | 166 | 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 | 159* | 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 | 137 | 2022 |
Cophy: Counterfactual learning of physical dynamics F Baradel, N Neverova, J Mille, G Mori, C Wolf arXiv preprint arXiv:1909.12000, 2019 | 91 | 2019 |
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 |
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 | 68 | 2017 |
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 | 67 | 2020 |
Cotracker: It is better to track together N Karaev, I Rocco, B Graham, N Neverova, A Vedaldi, C Rupprecht arXiv preprint arXiv:2307.07635, 2023 | 65 | 2023 |
Neuromorph: Unsupervised shape interpolation and correspondence in one go M Eisenberger, D Novotny, G Kerchenbaum, P Labatut, N Neverova, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 60 | 2021 |