Dubbelman, Gijs

19 publications

CVPRW 2025 What Is the Added Value of UDA in the VFM Era? Brunó Bence Englert, Tommie Kerssies, Gijs Dubbelman

CVPR 2025 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 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

CVPRW 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

CVPRW 2024 How to Benchmark Vision Foundation Models for Semantic Segmentation? Tommie Kerssies, Daan de Geus, Gijs Dubbelman

JMLR 2024 Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman

CVPR 2024 Task-Aligned Part-Aware Panoptic Segmentation Through Joint Object-Part Representations Daan de Geus, Gijs Dubbelman

ECCVW 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

CVPR 2023 Content-Aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers Chenyang Lu, Daan de Geus, Gijs Dubbelman

MLJ 2023 Correction to: Model-Free Inverse Reinforcement Learning with Multi-Intention, Unlabeled, and Overlapping Demonstrations Ariyan Bighashdel, Pavol Jancura, Gijs Dubbelman

WACV 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

WACV 2023 Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images Daan de Geus, Gijs Dubbelman

MLJ 2023 Model-Free Inverse Reinforcement Learning with Multi-Intention, Unlabeled, and Overlapping Demonstrations Ariyan Bighashdel, Pavol Jancura, Gijs Dubbelman

ECML-PKDD 2021 Deep Adaptive Multi-Intention Inverse Reinforcement Learning Ariyan Bighashdel, Panagiotis Meletis, Pavol Jancura, Gijs Dubbelman

CVPR 2021 Part-Aware Panoptic Segmentation Daan de Geus, Panagiotis Meletis, Chenyang Lu, Xiaoxiao Wen, Gijs Dubbelman

CVPRW 2021 TIED: A Cycle Consistent Encoder-Decoder Model for Text-to-Image Retrieval Clint Sebastian, Raffaele Imbriaco, Panagiotis Meletis, Gijs Dubbelman, Egor Bondarev, Peter H. N. de With

WACV 2019 A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman

ECCV 2012 Manifold Statistics for Essential Matrices Gijs Dubbelman, Leo Dorst, Henk Pijls

CVPR 2009 Bias Reduction for Stereo Based Motion Estimation with Applications to Large Scale Visual Odometry Gijs Dubbelman, Frans C. A. Groen