Lukas Schneider
Lukas Schneider
Unknown affiliation
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Cited by
Cited by
Sparsity invariant cnns
J Uhrig, N Schneider, L Schneider, U Franke, T Brox, A Geiger
2017 international conference on 3D Vision (3DV), 11-20, 2017
Semantic Stixels: Depth is Not Enough
L Schneider, M Cordts, T Rehfeld, D Pfeiffer, M Enzweiler, U Franke, ...
Intelligent Vehicles (IV), 2016
Semantically Guided Depth Upsampling
N Schneider, L Schneider, P Pinggera, U Franke, M Pollefeys, C Stiller
German Conference on Pattern Conference (GCPR), 2016
Slanted stixels: Representing San Francisco's steepest streets
D Hernandez-Juarez, L Schneider, A Espinosa, D Vázquez, AM López, ...
arXiv preprint arXiv:1707.05397, 2017
The stixel world: A medium-level representation of traffic scenes
M Cordts, T Rehfeld, L Schneider, D Pfeiffer, M Enzweiler, S Roth, ...
Image and Vision Computing 68, 40-52, 2017
Object-level priors for stixel generation
M Cordts, L Schneider, M Enzweiler, U Franke, S Roth
German Conference on Pattern Recognition, 172-183, 2014
Multimodal neural networks: Rgb-d for semantic segmentation and object detection
L Schneider, M Jasch, B Fröhlich, T Weber, U Franke, M Pollefeys, ...
Scandinavian conference on image analysis, 98-109, 2017
Mb-net: Mergeboxes for real-time 3d vehicles detection
N Gählert, M Mayer, L Schneider, U Franke, J Denzler
2018 IEEE Intelligent Vehicles Symposium (IV), 2117-2124, 2018
Slanted stixels: A way to represent steep streets
D Hernandez-Juarez, L Schneider, P Cebrian, A Espinosa, D Vazquez, ...
International Journal of Computer Vision 127 (11), 1643-1658, 2019
The Stixel world–A comprehensive representation of traffic scenes for autonomous driving
L Schneider, M Hafner, U Franke
at-Automatisierungstechnik 66 (9), 745-751, 2018
Supplementary Material for Sparsity Invariant CNNs
J Uhrig, N Schneider, L Schneider, U Franke, T Brox, A Geiger
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