| Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network D de Geus, P Meletis, G Dubbelman arXiv preprint arXiv:1809.02110, 2018 | 96 | 2018 |
| 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 | 72 | 2021 |
| Fast panoptic segmentation network D De Geus, P Meletis, G Dubbelman IEEE Robotics and Automation Letters 5 (2), 1742-1749, 2020 | 72 | 2020 |
| Single network panoptic segmentation for street scene understanding D de Geus, P Meletis, G Dubbelman 2019 IEEE Intelligent Vehicles Symposium (IV), 709-715, 2019 | 45 | 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 | 23 | 2023 |
| 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 | 21 | 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 | 19 | 2020 |
| Fine-tuning image-conditional diffusion models is easier than you think GM Garcia, KA Zeid, C Schmidt, D de Geus, A Hermans, B Leibe arXiv preprint arXiv:2409.11355, 2024 | 11 | 2024 |
| 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 | 7 | 2023 |
| 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 | 4 | 2024 |
| 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 |
| 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 | 3 | 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 | 3 | 2024 |
| 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 | 2 | 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 | 2 | 2020 |
| The BRAVO Semantic Segmentation Challenge Results in UNCV2024 TH Vu, E Valle, A Bursuc, T Kerssies, D de Geus, G Dubbelman, L Qian, ... arXiv preprint arXiv:2409.15107, 2024 | 1 | 2024 |
| First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation T Kerssies, D de Geus, G Dubbelman arXiv preprint arXiv:2409.17208, 2024 | | 2024 |
| Advances in Scene Understanding: Towards Efficient Image Segmentation at Multiple Abstraction Levels DC de Geus | | 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 |
| Efficient Fine-Tuning of Image-Conditional Diffusion Models for Depth and Surface Normal Estimation GM Garcia, K Abou Zeid, C Schmidt, D de Geus, A Hermans, B Leibe Adaptive Foundation Models: Evolving AI for Personalized and Efficient Learning, 0 | | |
Gijs DubbelmanAssociate professor - Eindhoven University of TechnologyOverená e-mailová adresa na: tue.nl
