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.


Machine learning, computer vision, and spatially sparse data

Latest Publications

ICLR - April 25, 2020

And the bit goes down: Revisiting the quantization of neural networks

Pierre Stock, Armand Joulin, Rémi Gribonval, Benjamin Graham, Hervé Jégou

NeurIPS - December 13, 2019

PerspectiveNet: A Scene-consistent Image Generator for New View Synthesis in Real Indoor Environments

David Novotny, Benjamin Graham, Jeremy Reizenstein

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

ICLR - May 5, 2019

Equi-normalization of Neural Networks

Pierre Stock, Benjamin Graham, Rémi Gribonval, Hervé Jégou

CVPR 2018 - June 18, 2018

3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

Benjamin Graham, Laurens van der Maaten, Martin Engelcke