People

David Novotny

Research Scientist

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

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