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Comparing object recognition in humans and deep convolutional neural networks -- An eye tracking study


Jul 30, 2021
Leonard E. van Dyck, Roland Kwitt, Sebastian J. Denzler, Walter R. Gruber

* 21 pages, 8 figures, 1 table 

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Topological Attention for Time Series Forecasting


Jul 19, 2021
Sebastian Zeng, Florian Graf, Christoph Hofer, Roland Kwitt


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ICON: Learning Regular Maps Through Inverse Consistency


May 21, 2021
Hastings Greer, Roland Kwitt, Francois-Xavier Vialard, Marc Niethammer


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Sparse Pose Trajectory Completion


May 01, 2021
Bo Liu, Mandar Dixit, Roland Kwitt, Gang Hua, Nuno Vasconcelos


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Dissecting Supervised Constrastive Learning


Feb 17, 2021
Florian Graf, Christoph D. Hofer, Marc Niethammer, Roland Kwitt


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A Shooting Formulation of Deep Learning


Jun 18, 2020
François-Xavier Vialard, Roland Kwitt, Susan Wei, Marc Niethammer


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Topologically Densified Distributions


Feb 12, 2020
Christoph D. Hofer, Florian Graf, Marc Niethammer, Roland Kwitt


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Deep Multi-View Learning via Task-Optimal CCA


Jul 17, 2019
Heather D. Couture, Roland Kwitt, J. S. Marron, Melissa Troester, Charles M. Perou, Marc Niethammer


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Connectivity-Optimized Representation Learning via Persistent Homology


Jun 21, 2019
Christoph Hofer, Roland Kwitt, Mandar Dixit, Marc Niethammer


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Graph Filtration Learning


May 27, 2019
Christoph Hofer, Roland Kwitt, Marc Niethammer


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Metric Learning for Image Registration


Apr 21, 2019
Marc Niethammer, Roland Kwitt, Francois-Xavier Vialard

* 12 pages 

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Brain Extraction from Normal and Pathological Images: A Joint PCA/Image-Reconstruction Approach


Apr 30, 2018
Xu Han, Roland Kwitt, Stephen Aylward, Spyridon Bakas, Bjoern Menze, Alexander Asturias, Paul Vespa, John Van Horn, Marc Niethammer


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Stochastic Block Models with Multiple Continuous Attributes


Mar 07, 2018
Natalie Stanley, Thomas Bonacci, Roland Kwitt, Marc Niethammer, Peter J. Mucha


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Deep Learning with Topological Signatures


Feb 16, 2018
Christoph Hofer, Roland Kwitt, Marc Niethammer, Andreas Uhl


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Feature Space Transfer for Data Augmentation


Feb 01, 2018
Bo Liu, Mandar Dixit, Roland Kwitt, Nuno Vasconcelos


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Fast Predictive Simple Geodesic Regression


Nov 15, 2017
Zhipeng Ding, Greg Fleishman, Xiao Yang, Paul Thompson, Roland Kwitt, Marc Niethammer

* 19 pages, 10 figures, 13 tables 

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AGA: Attribute Guided Augmentation


Aug 26, 2017
Mandar Dixit, Roland Kwitt, Marc Niethammer, Nuno Vasconcelos

* CVPR 2017 

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Quicksilver: Fast Predictive Image Registration - a Deep Learning Approach


Jul 19, 2017
Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer

* Add new discussions 

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Efficient Registration of Pathological Images: A Joint PCA/Image-Reconstruction Approach


Mar 31, 2017
Xu Han, Xiao Yang, Stephen Aylward, Roland Kwitt, Marc Niethammer

* Accepted as a conference paper for ISBI 2017 

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Fast Predictive Multimodal Image Registration


Mar 31, 2017
Xiao Yang, Roland Kwitt, Martin Styner, Marc Niethammer

* Accepted as a conference paper for ISBI 2017 

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Fast Predictive Image Registration


Jul 08, 2016
Xiao Yang, Roland Kwitt, Marc Niethammer


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Parametric Regression on the Grassmannian


May 14, 2015
Yi Hong, Nikhil Singh, Roland Kwitt, Nuno Vasconcelos, Marc Niethammer

* 14 pages, 11 figures 

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Proceedings of The 39th Annual Workshop of the Austrian Association for Pattern Recognition (OAGM), 2015


Apr 30, 2015
Sebastian Hegenbart, Roland Kwitt, Andreas Uhl

* Index submitted before individual papers 

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A Stable Multi-Scale Kernel for Topological Machine Learning


Dec 21, 2014
Jan Reininghaus, Stefan Huber, Ulrich Bauer, Roland Kwitt


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