| The Cityscapes Dataset for Semantic Urban Scene Understanding M Cordts, M Omran, S Ramos, T Rehfeld, M Enzweiler, R Benenson, ... Computer Vision and Pattern Recognition (CVPR), 2016 IEEE Conference on …, 2016 | 15063 | 2016 |
| The Cityscapes Dataset M Cordts, M Omran, S Ramos, T Scharwächter, M Enzweiler, R Benenson, ... CVPR Workshop on The Future of Datasets in Vision, 2015 | 473 | 2015 |
| Pixel-level encoding and depth layering for instance-level semantic labeling J Uhrig, M Cordts, U Franke, T Brox Pattern Recognition: 38th German Conference, GCPR 2016, Hannover, Germany …, 2016 | 228 | 2016 |
| Semantic Stixels: Depth is Not Enough L Schneider, M Cordts, T Rehfeld, D Pfeiffer, M Enzweiler, U Franke, ... Intelligent Vehicles Symposium (IV), 2016 | 108 | 2016 |
| Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection N Gählert, N Jourdan, M Cordts, U Franke, J Denzler CVPR Workshop on Scalability in Autonomous Driving, 2020 | 71 | 2020 |
| Proceedings of the IEEE conference on computer vision and pattern recognition M Cordts, M Omran, S Ramos, T Rehfeld, M Enzweiler, R Benenson, ... IEEE, 2016 | 60 | 2016 |
| 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 | 49 | 2017 |
| 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 | 35 | 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 | 34 | 2023 |
| Powerbev: A powerful yet lightweight framework for instance prediction in bird's-eye view P Li, S Ding, X Chen, N Hanselmann, M Cordts, J Gall arXiv preprint arXiv:2306.10761, 2023 | 32 | 2023 |
| Object-level Priors for Stixel Generation M Cordts, L Schneider, M Enzweiler, U Franke, S Roth German Conference on Pattern Recognition (GCPR), 172-183, 2014 | 23 | 2014 |
| Tree-Structured Models for Efficient Multi-Cue Scene Labeling M Cordts, T Rehfeld, M Enzweiler, U Franke, S Roth Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactions on 39 (7 …, 2017 | 17 | 2017 |
| Understanding Cityscapes: Efficient Urban Semantic Scene Understanding M Cordts Technische Universität Darmstadt, 2017 | 15 | 2017 |
| Ada-track: End-to-end multi-camera 3d multi-object tracking with alternating detection and association S Ding, L Schneider, M Cordts, J Gall Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 9 | 2024 |
| A novel benchmark for refinement of noisy localization labels in autolabeled datasets for object detection A Bär, J Uhrig, JP Umesh, M Cordts, T Fingscheidt Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 4 | 2023 |
| A discontinuous neural network for non-negative sparse approximation M Arts, M Cordts, M Gorin, M Spehr, R Mathar arXiv preprint arXiv:1603.06353, 2016 | 4 | 2016 |
| DualAD: Disentangling the Dynamic and Static World for End-to-End Driving S Doll, N Hanselmann, L Schneider, R Schulz, M Cordts, M Enzweiler, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 3 | 2024 |
| Quantitative cardiac MR assessment of left ventricular diastology K Lehenbauer, K Kalisz, BH Freed, X Bi, C Guetter, MP Jolly, M Cordts, ... Journal of Cardiovascular Magnetic Resonance 15, 1-2, 2013 | 2 | 2013 |
| 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 | 1 | 2022 |
| EMPERROR: A Flexible Generative Perception Error Model for Probing Self-Driving Planners A Geiger, H Lensch, M Cordts, S Doll, N Hanselmann arXiv, 2024 | | 2024 |
Markus EnzweilerProfessor of Computer Science, Esslingen University of Applied SciencesE-mailová adresa ověřena na: hs-esslingen.de
