Markus Thom

According to our database, Markus Thom authored at least 16 papers between 2011 and 2018.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2018

A random finite set approach for dynamic occupancy grid maps with real-time application.

Dominik Nuss, Stephan Reuter, Markus Thom, Ting Yuan, Gunther Krehl, Michael Maile, Axel Gern, Klaus Dietmayer

Int. J. Robotics Res., 2018

2017

Rapid Exact Signal Scanning With Deep Convolutional Neural Networks.

Markus Thom, Franz Gritschneder

IEEE Trans. Signal Process., 2017

2016

Adaptive learning based on guided exploration for decision making at roundabouts.

Franz Gritschneder, Patrick Hatzelmann, Markus Thom, Felix Kunz, Klaus Dietmayer

Proceedings of the 2016 IEEE Intelligent Vehicles Symposium, 2016

2015

Sparse neural networks.

Markus Thom

PhD thesis, 2015

Efficient Dictionary Learning with Sparseness-Enforcing Projections.

Markus Thom, Matthias Rapp, Günther Palm

Int. J. Comput. Vis., 2015

A Theory for Rapid Exact Signal Scanning with Deep Multi-Scale Convolutional Neural Networks.

Markus Thom, Franz Gritschneder

CoRR, 2015

Semi-Markov Process Based Localization Using Radar in Dynamic Environments.

Matthias Rapp, Markus Hahn, Markus Thom, Jürgen Dickmann, Klaus Dietmayer

Proceedings of the IEEE 18th International Conference on Intelligent Transportation Systems, 2015

2014

Fusion of laser and monocular camera data in object grid maps for vehicle environment perception.

Dominik Nuss, Markus Thom, Andreas Danzer, Klaus Dietmayer

Proceedings of the 17th International Conference on Information Fusion, 2014

2013

Sparse activity and sparse connectivity in supervised learning.

Markus Thom, Günther Palm

J. Mach. Learn. Res., 2013

Efficient Sparseness-Enforcing Projections

Markus Thom, Günther Palm

CoRR, 2013

Convolutional Neural Networks for night-time animal orientation estimation.

Raimar Wagner, Markus Thom, Michael Gabb, Matthias Limmer, Roland Schweiger, Albrecht Rothermel

Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Learning convolutional neural networks from few samples.

Raimar Wagner, Markus Thom, Roland Schweiger, Günther Palm, Albrecht Rothermel

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Image compression with discriminative dictionaries.

Raimar Wagner, Markus Thom, Michael Gabb, Christian Feller, Roland Schweiger, Albrecht Rothermel

Proceedings of the IEEE Third International Conference on Consumer Electronics, 2013

2012

Influence of image compression on cascade classifier components.

Raimar Wagner, Markus Thom, Roland Schweiger, Michael Gabb, Amrei Röhlig, Albrecht Rothermel

Proceedings of the 10th IEEE Jubilee International Symposium on Intelligent Systems and Informatics, 2012

2011

Supervised Matrix Factorization with sparseness constraints and fast inference.

Markus Thom, Roland Schweiger, Günther Palm

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Training of Sparsely Connected MLPs.

Markus Thom, Roland Schweiger, Günther Palm

Proceedings of the Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31, 2011