| DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation L Hoyer, D Dai, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 86 | 2022 |
| Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation Q Wang, D Dai, L Hoyer, O Fink, L Van Gool Proceedings of the IEEE International Conference on Computer Vision, 2021 | 54 | 2021 |
| Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation L Hoyer, D Dai, Y Chen, A Köring, S Saha, L Van Gool Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 49 | 2021 |
| Grid saliency for context explanations of semantic segmentation L Hoyer, M Munoz, P Katiyar, A Khoreva, V Fischer Advances in Neural Information Processing Systems, 6462-6473, 2019 | 26 | 2019 |
| HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation L Hoyer, D Dai, L Van Gool European Conference on Computer Vision (ECCV), 2022 | 17 | 2022 |
| Short-Term Prediction and Multi-Camera Fusion on Semantic Grids L Hoyer, P Kesper, A Khoreva, V Fischer Proceedings of the IEEE International Conference on Computer Vision …, 2019 | 10 | 2019 |
| Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation L Hoyer, D Dai, Q Wang, Y Chen, L Van Gool arXiv preprint arXiv:2108.12545, 2021 | 6 | 2021 |
| A Robot Localization Framework Using CNNs for Object Detection and Pose Estimation L Hoyer, C Steup, S Mostaghim 2018 IEEE Symposium Series on Computational Intelligence (SSCI), 1388-1395, 2018 | 6 | 2018 |
| MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation L Hoyer, D Dai, H Wang, L Van Gool arXiv preprint arXiv:2212.01322, 2022 | 3 | 2022 |
| Device and method for operating a neural network AMM Delgado, A Khoreva, L Hoyer, P Katiyar, V Fischer US Patent App. 16/922,544, 2021 | 1 | 2021 |
| Method for representing an environment of a mobile platform L Hoyer, V Fischer US Patent App. 17/283,847, 2021 | | 2021 |
| Team Description Paper robOTTO RoboCup@ Work 2017 C Steup, M Seidel, P Busse, N Harder, L Hoyer, SZ Mostaghim, A Lüder, ... | | 2017 |
Dengxin DaiMax Planck Institute for InformaticsVerified email at mpi-inf.mpg.de
