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11/24/2019
Towards a Hypothesis on Visual Transformation based Self-Supervision
We propose the first qualitative hypothesis characterizing the behavior ...
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11/13/2019
Learning Non-Parametric Invariances from Data with Permanent Random Connectomes
One of the fundamental problems in supervised classification and in mach...
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03/17/2019
Proximal Splitting Networks for Image Restoration
Image restoration problems are typically ill-posed requiring the design ...
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02/28/2018
Ring loss: Convex Feature Normalization for Face Recognition
We motivate and present Ring loss, a simple and elegant feature normaliz...
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01/14/2018
Non-Parametric Transformation Networks
ConvNets have been very effective in many applications where it is requi...
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10/26/2017
Class Correlation affects Single Object Localization using Pre-trained ConvNets
The problem of object localization has become one of the mainstream prob...
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10/24/2017
Max-Margin Invariant Features from Transformed Unlabeled Data
The study of representations invariant to common transformations of the ...
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02/24/2017
How ConvNets model Non-linear Transformations
In this paper, we theoretically address three fundamental problems invol...
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01/30/2017
Emergence of Selective Invariance in Hierarchical Feed Forward Networks
Many theories have emerged which investigate how in- variance is generat...
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11/18/2015