I am a research scientist on the Facebook AI Research (FAIR) team interested in deep learning and computer vision. Before coming to FAIR, I worked on my PhD at INSA Lyon and University of Guelph under the guidance of Christian Wolf and Graham Taylor. I also spent several months as a visiting researcher at Google.
Interests
Deep learning and computer vision
Latest Publications
CoPhy: Counterfactual Learning of Physical Dynamics
Fabien Baradel, Natalia Neverova, Julien Mille, Greg Mori, Christian Wolf
ICLR - February 21, 2020
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels
Natalia Neverova, David Novotny, Andrea Vedaldi
NeurIPS - November 17, 2019
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
ICCV - September 5, 2019
Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues
Natalia Neverova, James Thewlis, Riza Alp Guler, Iasonas Kokkinos, Andrea Vedaldi
CVPR - June 9, 2019
Dense Pose Transfer
Natalia Neverova, Riza Alp Guler, Iasonas Kokkinos
ECCV 2018 - September 10, 2018
Object Level Visual Reasoning in Videos
Fabien Baradel, Natalia Neverova, Christian Wolf, Julien Mille, Greg Mori
ECCV 2018 - September 7, 2018
DensePose: Dense Human Pose Estimation In The Wild
Riza Alp Guler, Natalia Neverova, Iasonas Kokkinos
CVPR 2018 - June 18, 2018
Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples
Moustapha Cisse, Yossi Adi, Natalia Neverova, Joseph Keshet
NIPS 2017 - December 4, 2017
Predicting Deeper into the Future of Semantic Segmentation
Pauline Luc, Natalia Neverova, Camille Couprie, Jakob Verbeek, Yann LeCun
ICCV 2017 - October 22, 2017
Modout: Learning Multi-modal Architectures by Stochastic Regularization
Fan Li, Natalia Neverova, Christian Wolf, Graham Taylor
FG 2017 - May 31, 2017