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Lukas Schneider
Lukas Schneider
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Zitiert von
Zitiert von
Jahr
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
7062017
Semantic Stixels: Depth is Not Enough
L Schneider, M Cordts, T Rehfeld, D Pfeiffer, M Enzweiler, U Franke, ...
Intelligent Vehicles (IV), 2016
982016
Semantically Guided Depth Upsampling
N Schneider, L Schneider, P Pinggera, U Franke, M Pollefeys, C Stiller
German Conference on Pattern Conference (GCPR), 2016
952016
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
612017
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
462017
Multimodal neural networks: RGB-D for semantic segmentation and object detection
L Schneider, M Jasch, B Fröhlich, T Weber, U Franke, M Pollefeys, ...
Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway …, 2017
412017
Object-level priors for stixel generation
M Cordts, L Schneider, M Enzweiler, U Franke, S Roth
Pattern Recognition: 36th German Conference, GCPR 2014, Münster, Germany …, 2014
232014
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
112018
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 (11-12), 1643-1658, 2019
72019
SpatialDETR: Robust Scalable Transformer-Based 3D Object Detection From Multi-view Camera Images With Global Cross-Sensor Attention
S Doll, R Schulz, L Schneider, V Benzin, M Enzweiler, HPA Lensch
Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022
42022
Structural Knowledge Distillation for Object Detection
P De Rijk, L Schneider, M Cordts, D Gavrila
Advances in Neural Information Processing Systems 35, 3858-3870, 2022
2022
End-to-End Single Shot Detector Using Graph-Based Learnable Duplicate Removal
S Ding, E Rehder, L Schneider, M Cordts, J Gall
Pattern Recognition: 44th DAGM German Conference, DAGM GCPR 2022, Konstanz …, 2022
2022
Learning Stixel-based Instance Segmentation
M Santarossa, L Schneider, C Zelenka, L Schmarje, R Koch, U Franke
2021 IEEE Intelligent Vehicles Symposium (IV), 427-434, 2021
2021
Scene Understanding for Autonomous Driving based on Visual and Depth Cues
L Schneider
ETH Zurich, 2021
2021
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
2018
Supplementary Material for Sparsity Invariant CNNs
J Uhrig, N Schneider, L Schneider, U Franke, T Brox, A Geiger
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