All publications

2025

• DONUT: A Decoder-Only Model for Trajectory Prediction
  Markus Knoche, Daan de Geus, Bastian Leibe
  ICCV, 2025
  Project page / arXiv / Code (soon)
• Your ViT is Secretly an Image Segmentation Model
  Tommie Kerssies, Niccolò Cavagnero, Alexander Hermans, Narges Norouzi,
  Giuseppe Averta, Bastian Leibe, Gijs Dubbelman, Daan de Geus
  CVPR, 2025 (Highlight Paper)
  Project page / arXiv / CVF / Code
• 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
  WACV, 2025 (Oral Presentation)
  Project page / arXiv / CVF / Code / Demo
• DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation
  Karim Abou Zeid, Kadir Yilmaz, Daan de Geus, Alexander Hermans, David Adrian, Timm Linder, Bastian Leibe
  arXiv, 2025 (Presented at CVPR 2025 Workshop on Transformers for Vision)
  Project page / arXiv / Code (soon)
• How Important are Videos for Training Video LLMs?
  George Lydakis, Alexander Hermans, Ali Athar, Daan de Geus, Bastian Leibe
  arXiv, 2025 (Presented at CVPR 2025 Workshop on Video Large Language Models)
  Project page / arXiv

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
  CVPR, 2024
  Project page / arXiv / CVF / Code
• Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
  Daan de Geus, Gijs Dubbelman
  CVPR, 2024
  Project page / arXiv / CVF / Code
• Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning
  Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman
  JMLR, 2024
  arXiv / JMLR
• How to Benchmark Vision Foundation Models for Semantic Segmentation?
  Tommie Kerssies, Daan de Geus, Gijs Dubbelman
  CVPR Workshops, 2024
  Project page / arXiv / CVF / Code
• Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation
  Brunó B. Englert, Fabrizio J. Piva, Tommie Kerssies, Daan de Geus, Gijs Dubbelman
  CVPR Workshops, 2024
  arXiv / CVF
• 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, Tomáš Vojíř, Jan Šochman, Jiří Matas, Michael Smith, Frank Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool
  ECCV Workshops, 2024
  arXiv
• Advances in Scene Understanding: Towards Efficient Image Segmentation at Multiple Abstraction Levels
  Daan de Geus
  PhD Thesis
  PDF
• First Place Solution to the ECCV 2024 BRAVO Challenge: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation
  Tommie Kerssies, Daan de Geus, Gijs Dubbelman
  arXiv, 2024 (Presented at ECCV 2024 Workshop on Unceritanty Quantification for Computer Vision)
  arXiv / Code

2023

• Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers
  Chenyang Lu*, Daan de Geus*, Gijs Dubbelman
  CVPR, 2023
  Project page / arXiv / CVF / Code
• Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images
  Daan de Geus, Gijs Dubbelman
  WACV, 2023
  Project page / arXiv / CVF / Code
• Empirical Generalization Study: Unsupervised Domain Adaptation vs. Domain Generalization Methods for Semantic Segmentation in the Wild
  Fabrizio J. Piva, Daan de Geus, Gijs Dubbelman
  WACV, 2023
  CVF
• Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation
  Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman
  arXiv, 2023 (Presented at AAMAS 2023 Workshop on Optimization and Learning in Multi-Agent Systems)
  arXiv

2021

• Part-aware Panoptic Segmentation
  Daan de Geus*, Panagiotis Meletis*, Chenyang Lu, Xiaoxiao Wen, Gijs Dubbelman
  CVPR, 2021
  arXiv / CVF / Code & Dataset

2020

• Fast Panoptic Segmentation Network
  Daan de Geus, Panagiotis Meletis, Gijs Dubbelman
  Robotics and Automation Letters, 2020
  arXiv / IEEE
• Proactive Risk Navigation System for Real-World Urban Intersections
  Tim Puphal, Benedict Flade, Daan de Geus, Julian Eggert
  IEEE ITSC, 2020
  arXiv / IEEE
• Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
  Panagiotis Meletis, Xiaoxiao Wen, Chenyang Lu, Daan de Geus, Gijs Dubbelman
  arXiv, 2020 (Technical report)
  arXiv / Dataset

2019

• Single Network Panoptic Segmentation for Street Scene Understanding
  Daan de Geus, Panagiotis Meletis, Gijs Dubbelman
  IEEE IV Symposium, 2019
  arXiv / IEEE

2018

• Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network
  Daan de Geus, Panagiotis Meletis, Gijs Dubbelman
  arXiv, 2018 (Technical report for ECCV 2018 COCO + Mapillary Joint Recognition Challenge)
  arXiv

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