Journal publications

D. de Geus, P. Meletis and G. Dubbelman, “Fast Panoptic Segmentation Network,” in IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 1742-1749, April 2020. Presented at IEEE ICRA 2020, Paris, France.
IEEE; arXiv

Conference publications

C. Lu*, D. de Geus*, G. Dubbelman, “Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images,” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023 (to appear).
Project page

D. de Geus, G. Dubbelman, “Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 3165-3173.
CVF; Project page

F.J. Piva, D. de Geus, G. Dubbelman, “Empirical Generalization Study: Unsupervised Domain Adaptation vs. Domain Generalization Methods for Semantic Segmentation in the Wild,” IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 499-508.
CVF; Project page

D. de Geus*, P. Meletis*, C. Lu, X. Wen, G. Dubbelman, “Part-aware Panoptic Segmentation,” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 5485-5494.
CVF; arXiv; Github

T. Puphal, B. Flade, D. de Geus and J. Eggert, “Proactive Risk Navigation System for Real-World Urban Intersections,” 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC), Rhodes, Greece, 2020.
IEEE

D. de Geus, P. Meletis and G. Dubbelman, “Single Network Panoptic Segmentation for Street Scene Understanding,” 2019 IEEE Intelligent Vehicles Symposium (IV), Paris, France, 2019, pp. 709-715.
IEEE; arXiv

Technical reports

D. de Geus, P. Meletis and G. Dubbelman, “Panoptic segmentation with a joint semantic and instance segmentation network,” arXiv preprint arXiv:1809.02110.
arXiv