I am Research Scientist at Facebook AI Research London. I obtained my DPhil at the Visual Geometry Group, University of Oxford in collaboration with Naver Labs Europe. My supervisors were Diane Larlus (Naver Labs Europe) and Andrea Vedaldi (University of Oxford).
Interests
My research focuses on discovering and representing the semantic and geometric structure of object categories from images or videos.
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
NeurIPS - December 1, 2020
Continuous Surface Embeddings
Natalia Neverova, David Novotny, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi
3DV - November 25, 2020
RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty
Benjamin Graham, David Novotny
NeurIPS - December 13, 2019
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments
David Novotny, Benjamin Graham, Jeremy Reizenstein
NeurIPS - November 17, 2019
Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels
Natalia Neverova, David Novotny, 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