RidgeSfM: Structure from Motion via Robust Pairwise Matching Under Depth Uncertainty
Benjamin Graham, David Novotny
People
Benjamin Graham
Research Scientist
I joined Facebook AI Research (FAIR) as a research scientist in July 2016.
Prior to Facebook, I studied mathematics, and in particular probability theory relating to spatial phenomenon, as an undergraduate at Oxford, PhD student (Cambridge, supervised by Professor Geoffrey Grimmett) and post doc (UBC Vancouver and ENS Paris). Whilst working in the Department of Statistics at the University of Warwick, I became interested in machine learning and took part in a few Kaggle competitions.
Interests
Machine learning, computer vision, and spatially sparse data
Latest Publications
3DV - 2020
And the bit goes down: Revisiting the quantization of neural networks
Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou
PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments
David Novotny, Benjamin Graham, Jeremy Reizenstein
C3DPO: Canonical 3D Pose Networks for Non-Rigid Structure From Motion
David Novotny, Nikhila Ravi, Benjamin Graham, Natalia Neverova, Andrea Vedaldi
Equi-normalization of Neural Networks
Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou
3D Semantic Segmentation with Submanifold Sparse Convolutional Networks
Benjamin Graham, Laurens van der Maaten, Martin Engelcke