Search Results for author: Ben Graham

Found 4 papers, 2 papers with code

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

no code implementations NeurIPS 2019 Ben Graham, David Novotny, Jeremy Reizenstein

Given a set of a reference RGBD views of an indoor environment, and a new viewpoint, our goal is to predict the view from that location.

Sparse 3D convolutional neural networks

2 code implementations12 May 2015 Ben Graham

We have implemented a convolutional neural network designed for processing sparse three-dimensional input data.

3D Object Recognition Temporal Action Localization

Efficient batchwise dropout training using submatrices

no code implementations9 Feb 2015 Ben Graham, Jeremy Reizenstein, Leigh Robinson

Dropout networks are generally trained by minibatch gradient descent with a dropout mask turning off some of the units---a different pattern of dropout is applied to every sample in the minibatch.

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