116 citations · 1.1k across the 96 of their papers we have counts for
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A Simple Hierarchical Pooling Data Structure for Loop Closure
Xiaohan Fei, Konstantine Tsotsos, Stefano Soatto
We propose a data structure obtained by hierarchically averaging bag-of-word descriptors during a sequence of views that achieves average speedups in large-scale loop closure appli…
On the energy landscape of deep networks
Pratik Chaudhari, Stefano Soatto
We introduce "AnnealSGD", a regularized stochastic gradient descent algorithm motivated by an analysis of the energy landscape of a particular class of deep networks with sparse ra…
An Empirical Evaluation of Current Convolutional Architectures' Ability to Manage Nuisance Location and Scale Variability
Nikolaos Karianakis, Jingming Dong, Stefano Soatto
We conduct an empirical study to test the ability of Convolutional Neural Networks (CNNs) to reduce the effects of nuisance transformations of the input data, such as location, sca…
Boosting Convolutional Features for Robust Object Proposals
Nikolaos Karianakis, Thomas J. Fuchs, Stefano Soatto
Deep Convolutional Neural Networks (CNNs) have demonstrated excellent performance in image classification, but still show room for improvement in object-detection tasks with many c…