People

Natalia Neverova

Research Scientist

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

Transferring Dense Pose to Proximal Animal Classes

Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova

CVPR - May 31, 2020

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

Mass Displacement Networks

Natalia Neverova, Iasonas Kokkinos

BMVC 2018 - September 4, 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