| 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 | 826 | 2017 |
| Semantic Stixels: Depth is Not Enough L Schneider, M Cordts, T Rehfeld, D Pfeiffer, M Enzweiler, U Franke, ... Intelligent Vehicles (IV), 2016 | 100 | 2016 |
| Semantically Guided Depth Upsampling N Schneider, L Schneider, P Pinggera, U Franke, M Pollefeys, C Stiller German Conference on Pattern Conference (GCPR), 2016 | 98 | 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 | 64 | 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 | 46 | 2017 |
| 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 | 45 | 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 | 23 | 2014 |
| 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 | 13 | 2018 |
| 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 European Conference on Computer Vision, 230-245, 2022 | 11 | 2022 |
| 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 | 8 | 2019 |
| 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 | 5 | 2022 |
| 3dmotformer: Graph transformer for online 3d multi-object tracking S Ding, E Rehder, L Schneider, M Cordts, J Gall Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |
| Learning Risk-Aware Quadrupedal Locomotion using Distributional Reinforcement Learning L Schneider, J Frey, T Miki, M Hutter arXiv preprint arXiv:2309.14246, 2023 | | 2023 |
| STAR-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations H Lensch, S Doll, N Hanselmann, L Schneider, R Schulz, M Enzweiler arXiv, 2023 | | 2023 |
| STAR-Track: Latent Motion Models for End-to-End 3D Object Tracking with Adaptive Spatio-Temporal Appearance Representations S Doll, N Hanselmann, L Schneider, R Schulz, M Enzweiler, H Lensch arXiv preprint arXiv:2306.17602, 2023 | | 2023 |
| End-to-End Single Shot Detector Using Graph-Based Learnable Duplicate Removal S Ding, E Rehder, L Schneider, M Cordts, J Gall DAGM German Conference on Pattern Recognition, 375-389, 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 | | |
