Markus Thom

Publication Activity (10 Years)

Years Active: 2011-2018
Publications (10 Years): 6

Top Venues

CoRR

Intelligent Vehicles Symposium

ICCE-Berlin

ITSC

University of Ulm (PHD)

Education History

University of Ulm

PHD

Publications

Dominik Nuss, Stephan Reuter, Markus Thom, Ting Yuan, Gunther Krehl, Michael Maile, Axel Gern, Klaus Dietmayer
A random finite set approach for dynamic occupancy grid maps with real-time application. Int. J. Robotics Res. 37 (8) (2018)
Markus Thom, Franz Gritschneder
Rapid Exact Signal Scanning With Deep Convolutional Neural Networks. IEEE Trans. Signal Process. 65 (5) (2017)
Markus Thom, Matthias Rapp, Günther Palm
Efficient Dictionary Learning with Sparseness-Enforcing Projections. CoRR (2016)
Markus Thom, Günther Palm
Sparse Activity and Sparse Connectivity in Supervised Learning. CoRR (2016)
Dominik Nuss, Stephan Reuter, Markus Thom, Ting Yuan, Gunther Krehl, Michael Maile, Axel Gern, Klaus C. J. Dietmayer
A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application. CoRR (2016)
Franz Gritschneder, Patrick Hatzelmann, Markus Thom, Felix Kunz, Klaus Dietmayer
Adaptive learning based on guided exploration for decision making at roundabouts. Intelligent Vehicles Symposium (2016)
Markus Thom, Franz Gritschneder
A Theory for Rapid Exact Signal Scanning with Deep Multi-Scale Convolutional Neural Networks. CoRR (2015)
Matthias Rapp, Markus Hahn, Markus Thom, Jürgen Dickmann, Klaus Dietmayer
Semi-Markov Process Based Localization Using Radar in Dynamic Environments. ITSC (2015)
Markus Thom, Matthias Rapp, Günther Palm
Efficient Dictionary Learning with Sparseness-Enforcing Projections. Int. J. Comput. Vis. 114 (2-3) (2015)
Dominik Nuss, Markus Thom, Andreas Danzer, Klaus C. J. Dietmayer
Fusion of laser and monocular camera data in object grid maps for vehicle environment perception. FUSION (2014)
Raimar Wagner, Markus Thom, Michael Gabb, Matthias Limmer, Roland Schweiger, Albrecht Rothermel
Convolutional Neural Networks for night-time animal orientation estimation. Intelligent Vehicles Symposium (2013)
Raimar Wagner, Markus Thom, Roland Schweiger, Günther Palm, Albrecht Rothermel
Learning convolutional neural networks from few samples. IJCNN (2013)
Raimar Wagner, Markus Thom, Michael Gabb, Christian Feller, Roland Schweiger, Albrecht Rothermel
Image compression with discriminative dictionaries. ICCE-Berlin (2013)
Markus Thom, Günther Palm
Sparse activity and sparse connectivity in supervised learning. J. Mach. Learn. Res. 14 (1) (2013)
Markus Thom, Günther Palm
Efficient Sparseness-Enforcing Projections CoRR (2013)
Raimar Wagner, Markus Thom, Roland Schweiger, Michael Gabb, Amrei Röhlig, Albrecht Rothermel
Influence of image compression on cascade classifier components. SISY (2012)
Markus Thom, Roland Schweiger, Günther Palm
Supervised Matrix Factorization with sparseness constraints and fast inference. IJCNN (2011)
Markus Thom, Roland Schweiger, Günther Palm
Training of Sparsely Connected MLPs. DAGM-Symposium (2011)

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Publication Activity (10 Years)

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Markus Thom