I am a Research Lead on the Facebook AI Research (FAIR) team interested in statistical machine learning and applications in computer vision. Before coming to FAIR, I obtained my PhD from INSA Lyon and University of Guelph and spent several months as a visiting researcher at Google.
Interests
computer vision; machine learning
Latest Publications
3DV - December 1, 2021
Exemplar Fine-Tuning for 3D Human Model Fitting Towards In-the-Wild 3D Human Pose Estimation
Hanbyul Joo, Natalia Neverova, Andrea Vedaldi
CVPR - June 18, 2021
Discovering Relationships between Object Categories via Universal Canonical Maps
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotny, Andrea Vedaldi
CVPR - June 18, 2021
NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go
Marvin Eisenberger, David Novotny, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi
arXiv - June 16, 2021
XCiT: Cross-Covariance Image Transformers
Alaaeldin El-Nouby, Hugo Touvron, Mathilde Caron, Piotr Bojanowski, Matthijs Douze, Armand Joulin, Ivan Laptev, Natalia Neverova, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou
NeurIPS - December 1, 2020
Continuous Surface Embeddings
Natalia Neverova, David Novotny, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi
CVPR - May 31, 2020
Transferring Dense Pose to Proximal Animal Classes
Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova
ICLR - February 21, 2020
CoPhy: Counterfactual Learning of Physical Dynamics
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf
NeurIPS - November 17, 2019
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels
Natalia Neverova, David Novotny, Andrea Vedaldi
ICCV - September 5, 2019
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
CVPR - June 9, 2019
Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues
Natalia Neverova, James Thewlis, Riza Alp Guler, Iasonas Kokkinos, Andrea Vedaldi
ECCV 2018 - September 10, 2018
Dense Pose Transfer
Natalia Neverova, Riza Alp Guler, Iasonas Kokkinos
ECCV 2018 - September 7, 2018
Object Level Visual Reasoning in Videos
Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori
CVPR 2018 - June 18, 2018
DensePose: Dense Human Pose Estimation In The Wild
Riza Alp Guler, Natalia Neverova, Iasonas Kokkinos
NIPS 2017 - December 4, 2017
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples
Moustapha Cisse, Yossi Adi, Natalia Neverova, Joseph Keshet
ICCV 2017 - October 22, 2017
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun
FG 2017 - May 31, 2017
Modout: Learning Multi-modal Architectures by Stochastic Regularization
Fan Li, Natalia Neverova, Christian Wolf, Graham Taylor
Videos
All Videos
Transferring Dense Pose to Proximal Animal Classes
| June 10, 2020