I am a research scientist at Facebook AI Research since September 2018, with a focus on computer vision and machine learning. I am also Associate Professor at the University of Oxford, specialising on the same topics.
Interests
I am interested in deep image representations for computer vision, with applications to image understanding and 3D reconstruction. I am also interested in unsupervised learning and in the interpretability of black box models.
Related Links
Latest Publications
Transferring Dense Pose to Proximal Animal Classes
Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova
CVPR - May 31, 2020
Fixing the train-test resolution discrepancy
Hugo Touvron, Andrea Vedaldi, Matthijs Douze, Hervé Jégou
NeurIPS - December 9, 2019
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels
Natalia Neverova, David Novotny, Andrea Vedaldi
NeurIPS - November 17, 2019
Occlusions for Effective Data Augmentation in Image Classification
Ruth Fong, Andrea Vedaldi
ICCV Workshop on Interpreting and Explaining Visual AI Models - October 20, 2019
Understanding Deep Networks via Extremal Perturbations and Smooth Masks
Ruth Fong, Mandela Patrick, Andrea Vedaldi
ICCV - October 20, 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
Videos
All Videos
Transferring Dense Pose to Proximal Animal Classes
| June 10, 2020