Daan de Geus

According to our database, Daan de Geus authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning.

Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman

J. Mach. Learn. Res., 2024

2024 BRAVO Challenge Track 1 1st Place Report: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation.

Tommie Kerssies, Daan de Geus, Gijs Dubbelman

CoRR, 2024

The BRAVO Semantic Segmentation Challenge Results in UNCV2024.

Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomás Vojír, Jan Sochman, Jirí Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool

CoRR, 2024

Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think.

Gonzalo Martin Garcia, Karim Abou Zeid, Christian Schmidt, Daan de Geus, Alexander Hermans, Bastian Leibe

CoRR, 2024

ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers.

Narges Norouzi, Svetlana Orlova, Daan de Geus, Gijs Dubbelman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

How to Benchmark Vision Foundation Models for Semantic Segmentation?

Tommie Kerssies, Daan de Geus, Gijs Dubbelman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Task-Aligned Part-Aware Panoptic Segmentation Through Joint Object-Part Representations.

Daan de Geus, Gijs Dubbelman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation.

Brunó Bence Englert, Fabrizio J. Piva, Tommie Kerssies, Daan de Geus, Gijs Dubbelman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation.

Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman

CoRR, 2023

Empirical Generalization Study: Unsupervised Domain Adaptation vs. Domain Generalization Methods for Semantic Segmentation in the Wild.

Fabrizio J. Piva, Daan de Geus, Gijs Dubbelman

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images.

Daan de Geus, Gijs Dubbelman

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers.

Chenyang Lu, Daan de Geus, Gijs Dubbelman

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Part-Aware Panoptic Segmentation.

Daan de Geus, Panagiotis Meletis, Chenyang Lu, Xiaoxiao Wen, Gijs Dubbelman

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Fast Panoptic Segmentation Network.

Daan de Geus, Panagiotis Meletis, Gijs Dubbelman

IEEE Robotics Autom. Lett., 2020

Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding.

Panagiotis Meletis, Xiaoxiao Wen, Chenyang Lu, Daan de Geus, Gijs Dubbelman

CoRR, 2020

Proactive Risk Navigation System for Real-World Urban Intersections.

Tim Puphal, Benedict Flade, Daan de Geus, Julian Eggert

Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019

Single Network Panoptic Segmentation for Street Scene Understanding.

Daan de Geus, Panagiotis Meletis, Gijs Dubbelman

Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

2018

Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network.

Daan de Geus, Panagiotis Meletis, Gijs Dubbelman

CoRR, 2018