People

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.

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

Website

Latest Publications

CVPR - June 18, 2021

Discovering Relationships between Object Categories via Universal Canonical Maps

Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotny, Andrea Vedaldi

CVPR - June 18, 2021

NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go

Marvin Eisenberger, David Novotny, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi

CVPR - June 17, 2021

Unsupervised Learning of 3D Object Categories from Videos in the Wild

Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotny

ICLR - May 3, 2021

Support-Set Bottlenecks for Video-Text Representation Learning

Mandela Patrick, Po-Yao Huang, Florian Metze, Andrea Vedaldi, Alexander Hauptmann, Yuki M. Asano, João Henriques

NeurIPS - December 7, 2020

Labelling unlabelled videos from scratch with multi-modal self-supervision

Yuki M. Asano, Mandela Patrick, Christian Rupprecht, Andrea Vedaldi

NeurIPS - December 1, 2020

Continuous Surface Embeddings

Natalia Neverova, David Novotny, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi

CVPR - May 31, 2020

Transferring Dense Pose to Proximal Animal Classes

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

NeurIPS - December 9, 2019

Fixing the train-test resolution discrepancy

Hugo Touvron, Andrea Vedaldi, Matthijs Douze, Hervé Jégou

NeurIPS - November 17, 2019

Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels

Natalia Neverova, David Novotny, Andrea Vedaldi

ICCV Workshop on Interpreting and Explaining Visual AI Models - October 20, 2019

Occlusions for Effective Data Augmentation in Image Classification

Ruth Fong, Andrea Vedaldi

ICCV - October 20, 2019

Understanding Deep Networks via Extremal Perturbations and Smooth Masks

Ruth Fong, Mandela Patrick, Andrea Vedaldi

ICCV - September 5, 2019

C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion

David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi

CVPR - June 9, 2019

Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues

Natalia Neverova, James Thewlis, Riza Alp Guler, Iasonas Kokkinos, Andrea Vedaldi