17 citations · 51 across the 31 of their papers we have counts for
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cs.CV2023
Fixing the problems of deep neural networks will require better training data and learning algorithms
Drew Linsley, Thomas Serre
Bowers and colleagues argue that DNNs are poor models of biological vision because they often learn to rival human accuracy by relying on strategies that differ markedly from those…
cs.CV2016★ 1 cited
Deep disentangled representations for volumetric reconstruction
Edward Grant, Pushmeet Kohli, Marcel van Gerven
We introduce a convolutional neural network for inferring a compact disentangled graphical description of objects from 2D images that can be used for volumetric reconstruction. The…
cs.CV2015
Predicting and visualizing psychological attributions with a deep neural network
Edward Grant, Stephan Sahm, Mariam Zabihi +1
Judgments about personality based on facial appearance are strong effectors in social decision making, and are known to have impact on areas from presidential elections to jury dec…