12 citations · 17 across the 2 of their papers we have counts for
4 papers
Multi-hypothesis 3D human pose estimation metrics favor miscalibrated distributions
Paweł A. Pierzchlewicz, R. James Cotton, Mohammad Bashiri +1
Due to depth ambiguities and occlusions, lifting 2D poses to 3D is a highly ill-posed problem. Well-calibrated distributions of possible poses can make these ambiguities explicit a…
Factorized Neural Processes for Neural Processes: -Shot Prediction of Neural Responses
R. James Cotton, Fabian H. Sinz, Andreas S. Tolias
In recent years, artificial neural networks have achieved state-of-the-art performance for predicting the responses of neurons in the visual cortex to natural stimuli. However, the…
Learning From Brains How to Regularize Machines
Zhe Li, Wieland Brendel, Edgar Y. Walker +7
Despite impressive performance on numerous visual tasks, Convolutional Neural Networks (CNNs) --- unlike brains --- are often highly sensitive to small perturbations of their input…
A rotation-equivariant convolutional neural network model of primary visual cortex
Alexander S. Ecker, Fabian H. Sinz, Emmanouil Froudarakis +7
Classical models describe primary visual cortex (V1) as a filter bank of orientation-selective linear-nonlinear (LN) or energy models, but these models fail to predict neural respo…