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Michael Kampffmeyer

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Self-Constructing Graph Convolutional Networks for Semantic Labeling

Mar 15, 2020
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

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Dense Dilated Convolutions Merging Network for Land Cover Classification

Mar 09, 2020
Qinghui Liu, Michael Kampffmeyer, Robert Jessen, Arnt-Børre Salberg

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Deep Image Translation with an Affinity-Based Change Prior for Unsupervised Multimodal Change Detection

Jan 13, 2020
Luigi Tommaso Luppino, Michael Kampffmeyer, Filippo Maria Bianchi, Gabriele Moser, Sebastiano Bruno Serpico, Robert Jenssen, Stian Normann Anfinsen

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Information Plane Analysis of Deep Neural Networks via Matrix-Based Renyi's Entropy and Tensor Kernels

Sep 25, 2019
Kristoffer Wickstrøm, Sigurd Løkse, Michael Kampffmeyer, Shujian Yu, Jose Principe, Robert Jenssen

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Road Mapping In LiDAR Images Using A Joint-Task Dense Dilated Convolutions Merging Network

Sep 07, 2019
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

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Dense Dilated Convolutions Merging Network for Semantic Mapping of Remote Sensing Images

Aug 30, 2019
Qinghui Liu, Michael Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg

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Deep Generative Models for Reject Inference in Credit Scoring

Apr 12, 2019
Rogelio A. Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen

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Learning Latent Representations of Bank Customers With The Variational Autoencoder

Mar 14, 2019
Rogelio A Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen

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Deep Divergence-Based Approach to Clustering

Feb 13, 2019
Michael Kampffmeyer, Sigurd Løkse, Filippo M. Bianchi, Lorenzo Livi, Arnt-Børre Salberg, Robert Jenssen

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Recurrent Deep Divergence-based Clustering for simultaneous feature learning and clustering of variable length time series

Nov 29, 2018
Daniel J. Trosten, Andreas S. Strauman, Michael Kampffmeyer, Robert Jenssen

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