Natalia Neverova

Research Scientist

Facebook AI Research

Natalia is a research scientist on the Facebook AI Research (FAIR) team interested in deep learning and computer vision. Before coming to FAIR, she worked on her PhD at INSA Lyon and University of Guelph under the guidance of Christian Wolf and Graham Taylor. She also spent several months as a visiting researcher at Google.

Interests

Deep Learning and Computer Vision.

Website
Google Scholar Profile
Website
Google Scholar Profile

Latest Publications

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