| Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network D de Geus, P Meletis, G Dubbelman arXiv preprint arXiv:1809.02110, 2018 | 89 | 2018 |
| Fast panoptic segmentation network D De Geus, P Meletis, G Dubbelman IEEE Robotics and Automation Letters 5 (2), 1742-1749, 2020 | 65 | 2020 |
| Part-aware panoptic segmentation D de Geus, P Meletis, C Lu, X Wen, G Dubbelman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 54 | 2021 |
| Single network panoptic segmentation for street scene understanding D de Geus, P Meletis, G Dubbelman 2019 IEEE Intelligent Vehicles Symposium (IV), 709-715, 2019 | 40 | 2019 |
| Empirical generalization study: Unsupervised domain adaptation vs. domain generalization methods for semantic segmentation in the wild FJ Piva, D De Geus, G Dubbelman Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 18 | 2023 |
| Cityscapes-panoptic-parts and pascal-panoptic-parts datasets for scene understanding P Meletis, X Wen, C Lu, D de Geus, G Dubbelman arXiv preprint arXiv:2004.07944, 2020 | 13 | 2020 |
| Content-aware token sharing for efficient semantic segmentation with vision transformers C Lu, D de Geus, G Dubbelman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 12 | 2023 |
| Intra-batch supervision for panoptic segmentation on high-resolution images D de Geus, G Dubbelman Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6 | 2023 |
| Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation A Bighashdel, D de Geus, P Jancura, G Dubbelman arXiv preprint arXiv:2303.08307, 2023 | 4 | 2023 |
| Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations D de Geus, G Dubbelman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 1 | 2024 |
| Proactive Risk Navigation System for Real-World Urban Intersections T Puphal, B Flade, D de Geus, J Eggert 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 1 | 2020 |
| Advances in Scene Understanding: Towards Efficient Image Segmentation at Multiple Abstraction Levels DC de Geus | | 2024 |
| ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers N Norouzi, S Orlova, D de Geus, G Dubbelman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation BB Englert, FJ Piva, T Kerssies, D De Geus, G Dubbelman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| How to Benchmark Vision Foundation Models for Semantic Segmentation? T Kerssies, D De Geus, G Dubbelman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
| Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning A Bighashdel, D de Geus, P Jancura, G Dubbelman Journal of Machine Learning Research 25 (67), 1-31, 2024 | | 2024 |
| Supplementary Material: Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations D de Geus, G Dubbelman | | |
| Revisiting Higher-Order Gradient Methods for Multi-Agent Reinforcement Learning A Bighashdel, D De Geus, P Jancura, G Dubbelman | | |
Gijs DubbelmanAssociate professor - Eindhoven University of Technology在 tue.nl 的电子邮件经过验证
