Andrea Vedaldi

Research Scientist

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.


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.

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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