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Towards a Hypothesis on Visual Transformation based Self-Supervision


Nov 24, 2019
Dipan K. Pal, Sreena Nallamothu, Marios Savvides

* Draft 

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Learning Non-Parametric Invariances from Data with Permanent Random Connectomes


Nov 13, 2019
Dipan K. Pal, Marios Savvides

* Preprint (accepted at NeurIPS SVRHM 2019) 

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Proximal Splitting Networks for Image Restoration


Mar 17, 2019
Raied Aljadaany, Dipan K. Pal, Marios Savvides


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Non-Parametric Transformation Networks


Sep 08, 2018
Dipan K. Pal, Marios Savvides

* Preprint only 

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Ring loss: Convex Feature Normalization for Face Recognition


Feb 28, 2018
Yutong Zheng, Dipan K. Pal, Marios Savvides

* Accepted at CVPR 2018 

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Class Correlation affects Single Object Localization using Pre-trained ConvNets


Oct 27, 2017
Pokkalla Harsha Vardhan, Kunal Sekhri, Dipan K. Pal, Marios Savvides


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Max-Margin Invariant Features from Transformed Unlabeled Data


Oct 24, 2017
Dipan K. Pal, Ashwin A. Kannan, Gautam Arakalgud, Marios Savvides

* Accepted at NIPS 2017 

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How ConvNets model Non-linear Transformations


Feb 24, 2017
Dipan K. Pal, Marios Savvides


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Emergence of Selective Invariance in Hierarchical Feed Forward Networks


Jan 30, 2017
Dipan K. Pal, Vishnu Boddeti, Marios Savvides


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Unitary-Group Invariant Kernels and Features from Transformed Unlabeled Data


Nov 18, 2015
Dipan K. Pal, Marios Savvides

* 11 page main paper (including references), 2 page supplementary, for a total of 13 pages. Submitted for review at ICLR 2016 

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