Markus Thom - RankMe

19 papers B 4C 1Misc 1Journal 9Unranked 3

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