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2010 – 2019
- 2018
[j4]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): 841-866 (2018)- 2017
- [j3]Markus Thom, Franz Gritschneder:
Rapid Exact Signal Scanning With Deep Convolutional Neural Networks. IEEE Trans. Signal Process. 65(5): 1235-1250 (2017) - 2016
- [c9]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: 433-440 - [i5]Markus Thom, Günther Palm:
Sparse Activity and Sparse Connectivity in Supervised Learning. CoRR abs/1603.08367 (2016) - [i4]Markus Thom, Matthias Rapp, Günther Palm:
Efficient Dictionary Learning with Sparseness-Enforcing Projections. CoRR abs/1604.04767 (2016) - [i3]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. CoRR abs/1605.02406 (2016) - 2015
- [b1]Markus Thom:
Sparse neural networks. University of Ulm, 2015 - [j2]Markus Thom, Matthias Rapp, Günther Palm:
Efficient Dictionary Learning with Sparseness-Enforcing Projections. Int. J. Comput. Vis. 114(2-3): 168-194 (2015) - [c8]Matthias Rapp, Markus Hahn, Markus Thom, Jürgen Dickmann, Klaus Dietmayer:
Semi-Markov Process Based Localization Using Radar in Dynamic Environments. ITSC 2015: 423-429 - [i2]Markus Thom, Franz Gritschneder:
A Theory for Rapid Exact Signal Scanning with Deep Multi-Scale Convolutional Neural Networks. CoRR abs/1508.06904 (2015) - 2014
- [c7]Dominik Nuss, Markus Thom, Andreas Danzer, Klaus Dietmayer:
Fusion of laser and monocular camera data in object grid maps for vehicle environment perception. FUSION 2014: 1-8 - 2013
- [j1]Markus Thom, Günther Palm:
Sparse activity and sparse connectivity in supervised learning. J. Mach. Learn. Res. 14(1): 1091-1143 (2013) - [c6]Raimar Wagner, Markus Thom, Michael Gabb, Christian Feller, Roland Schweiger, Albrecht Rothermel:
Image compression with discriminative dictionaries. ICCE-Berlin 2013: 249-253 - [c5]Raimar Wagner, Markus Thom, Roland Schweiger, Günther Palm, Albrecht Rothermel:
Learning convolutional neural networks from few samples. IJCNN 2013: 1-7 - [c4]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: 316-321 - [i1]Markus Thom, Günther Palm:
Efficient Sparseness-Enforcing Projections. CoRR abs/1303.5259 (2013) - 2012
- [c3]Raimar Wagner, Markus Thom, Roland Schweiger, Michael Gabb, Amrei Röhlig, Albrecht Rothermel:
Influence of image compression on cascade classifier components. SISY 2012: 367-371 - 2011
- [c2]Markus Thom, Roland Schweiger, Günther Palm:
Training of Sparsely Connected MLPs. DAGM-Symposium 2011: 356-365 - [c1]Markus Thom, Roland Schweiger, Günther Palm:
Supervised Matrix Factorization with sparseness constraints and fast inference. IJCNN 2011: 973-979
Coauthor Index
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