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Daan de Geus
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2020 – today
- 2026
[c15]Karim Knaebel, Kadir Yilmaz, Daan de Geus, Alexander Hermans, David B. Adrian, Timm Linder, Bastian Leibe:
DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation. 3DV 2026: 1884-1894
[i28]Narges Norouzi, Idil Esen Zulfikar, Niccolò Cavagnero, Tommie Kerssies, Bastian Leibe, Gijs Dubbelman, Daan de Geus:
VidEoMT: Your ViT is Secretly Also a Video Segmentation Model. CoRR abs/2602.17807 (2026)
[i27]Niccolò Cavagnero, Narges Norouzi, Gijs Dubbelman, Daan de Geus:
PMT: Plain Mask Transformer for Image and Video Segmentation with Frozen Vision Encoders. CoRR abs/2603.25398 (2026)
[i26]Tommie Kerssies, Gabriele Berton, Ju He, Qihang Yu, Wufei Ma, Daan de Geus, Gijs Dubbelman, Liang-Chieh Chen:
A Frame is Worth One Token: Efficient Generative World Modeling with Delta Tokens. CoRR abs/2604.04913 (2026)
[i25]Kadir Yilmaz, Adrian Kruse, Tristan Höfer, Daan de Geus, Bastian Leibe:
Volume Transformer: Revisiting Vanilla Transformers for 3D Scene Understanding. CoRR abs/2604.19609 (2026)
[i24]Karim Knaebel, Gonzalo Martin Garcia, Christian Schmidt, Ilya Fradlin, Lucas Nunes, Daan de Geus, Bastian Leibe:
SurGe: Improved Surface Geometry in Point Maps. CoRR abs/2605.31577 (2026)- 2025
[c14]Tommie Kerssies, Niccolò Cavagnero
, Alexander Hermans, Narges Norouzi, Giuseppe Averta, Bastian Leibe, Gijs Dubbelman, Daan de Geus:
Your ViT is Secretly an Image Segmentation Model. CVPR 2025: 25303-25313
[c13]Markus Knoche
, Daan de Geus, Bastian Leibe:
DONUT: A Decoder-Only Model for Trajectory Prediction. ICCV 2025: 28903-28912
[c12]Gonzalo Martin Garcia, Karim Abou Zeid, Christian Schmidt, Daan de Geus, Alexander Hermans, Bastian Leibe:
Fine-Tuning Image-Conditional Diffusion Models is Easier than you Think. WACV 2025: 753-762
[i23]Karim Abou Zeid, Kadir Yilmaz, Daan de Geus, Alexander Hermans, David B. Adrian, Timm Linder, Bastian Leibe:
DINO in the Room: Leveraging 2D Foundation Models for 3D Segmentation. CoRR abs/2503.18944 (2025)
[i22]Tommie Kerssies, Niccolò Cavagnero, Alexander Hermans, Narges Norouzi, Giuseppe Averta, Bastian Leibe, Gijs Dubbelman, Daan de Geus:
Your ViT is Secretly an Image Segmentation Model. CoRR abs/2503.19108 (2025)
[i21]Markus Knoche, Daan de Geus, Bastian Leibe:
DONUT: A Decoder-Only Model for Trajectory Prediction. CoRR abs/2506.06854 (2025)
[i20]George Lydakis, Alexander Hermans, Ali Athar, Daan de Geus, Bastian Leibe:
How Important are Videos for Training Video LLMs? CoRR abs/2506.06928 (2025)
[i19]Alexey Nekrasov, Ali Athar, Daan de Geus, Alexander Hermans, Bastian Leibe:
3rd Place Report of LSVOS 2025 MeViS Track: Sa2VA-i: Improving Sa2VA Results with Consistent Training and Inference. CoRR abs/2509.19082 (2025)
[i18]Chang Liu, Henghui Ding, Kaining Ying, Lingyi Hong, Ning Xu, Linjie Yang, Yuchen Fan, Mingqi Gao, Jingkun Chen, Yunqi Miao, Gengshen Wu, Zhijin Qin, Jungong Han, Zhixiong Zhang, Shuangrui Ding, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Jiaqi Wang, Chang Soo Lim, Joonyoung Moon, Donghyeon Cho, Tingmin Li, Yixuan Li, Yang Yang, An Yan, Leilei Cao, Feng Lu, Ran Hong, Youhai Jiang, Fengjie Zhu, Yujie Xie, Hongyang Zhang, Zhihui Liu, Shihai Ruan, Quanzhu Niu, Dengxian Gong, Shihao Chen, Tao Zhang, Yikang Zhou, Haobo Yuan, Lu Qi, Xiangtai Li, Shunping Ji, Alexey Nekrasov, Ali Athar, Daan de Geus, Alexander Hermans, Bastian Leibe:
LSVOS 2025 Challenge Report: Recent Advances in Complex Video Object Segmentation. CoRR abs/2510.11063 (2025)- 2024
[j2]Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman:
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning. J. Mach. Learn. Res. 25: 67:1-67:31 (2024)
[c11]Tommie Kerssies, Daan de Geus
, Gijs Dubbelman:
How to Benchmark Vision Foundation Models for Semantic Segmentation? CVPR Workshops 2024: 1162-1171
[c10]Brunó Bence Englert, Fabrizio J. Piva, Tommie Kerssies, Daan de Geus
, Gijs Dubbelman:
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation. CVPR Workshops 2024: 1172-1180
[c9]Daan de Geus
, Gijs Dubbelman:
Task-Aligned Part-Aware Panoptic Segmentation Through Joint Object-Part Representations. CVPR 2024: 3174-3183
[c8]Narges Norouzi, Svetlana Orlova, Daan de Geus
, Gijs Dubbelman:
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers. CVPR 2024: 15773-15782
[c7]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:
The BRAVO Semantic Segmentation Challenge Results in UNCV2024. ECCV Workshops (17) 2024: 290-306
[i17]Tommie Kerssies, Daan de Geus
, Gijs Dubbelman:
How to Benchmark Vision Foundation Models for Semantic Segmentation? CoRR abs/2404.12172 (2024)
[i16]Brunó Bence Englert, Fabrizio J. Piva, Tommie Kerssies, Daan de Geus
, Gijs Dubbelman:
Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation. CoRR abs/2406.09896 (2024)
[i15]Narges Norouzi, Svetlana Orlova, Daan de Geus
, Gijs Dubbelman:
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers. CoRR abs/2406.09936 (2024)
[i14]Daan de Geus
, Gijs Dubbelman:
Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations. CoRR abs/2406.10114 (2024)
[i13]Gonzalo Martin Garcia, Karim Abou Zeid, Christian Schmidt, Daan de Geus
, Alexander Hermans, Bastian Leibe:
Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think. CoRR abs/2409.11355 (2024)
[i12]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:
The BRAVO Semantic Segmentation Challenge Results in UNCV2024. CoRR abs/2409.15107 (2024)
[i11]Tommie Kerssies, Daan de Geus
, Gijs Dubbelman:
2024 BRAVO Challenge Track 1 1st Place Report: Evaluating Robustness of Vision Foundation Models for Semantic Segmentation. CoRR abs/2409.17208 (2024)- 2023
[c6]Chenyang Lu
, Daan de Geus
, Gijs Dubbelman:
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers. CVPR 2023: 23631-23640
[c5]Fabrizio J. Piva, Daan de Geus
, Gijs Dubbelman:
Empirical Generalization Study: Unsupervised Domain Adaptation vs. Domain Generalization Methods for Semantic Segmentation in the Wild. WACV 2023: 499-508
[c4]Daan de Geus
, Gijs Dubbelman:
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images. WACV 2023: 3164-3172
[i10]Tim Puphal, Benedict Flade, Daan de Geus
, Julian Eggert:
Proactive Risk Navigation System for Real-World Urban Intersections. CoRR abs/2303.07886 (2023)
[i9]Ariyan Bighashdel
, Daan de Geus
, Pavol Jancura
, Gijs Dubbelman:
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation. CoRR abs/2303.08307 (2023)
[i8]Ariyan Bighashdel, Daan de Geus
, Pavol Jancura
, Gijs Dubbelman:
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning. CoRR abs/2304.01447 (2023)
[i7]Daan de Geus
, Gijs Dubbelman:
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images. CoRR abs/2304.08222 (2023)
[i6]Chenyang Lu, Daan de Geus, Gijs Dubbelman:
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers. CoRR abs/2306.02095 (2023)- 2021
[c3]Daan de Geus
, Panagiotis Meletis
, Chenyang Lu
, Xiaoxiao Wen, Gijs Dubbelman:
Part-Aware Panoptic Segmentation. CVPR 2021: 5485-5494
[i5]Daan de Geus, Panagiotis Meletis, Chenyang Lu, Xiaoxiao Wen, Gijs Dubbelman:
Part-aware Panoptic Segmentation. CoRR abs/2106.06351 (2021)- 2020
[j1]Daan de Geus
, Panagiotis Meletis
, Gijs Dubbelman
:
Fast Panoptic Segmentation Network. IEEE Robotics Autom. Lett. 5(2): 1742-1749 (2020)
[c2]Tim Puphal
, Benedict Flade
, Daan de Geus
, Julian Eggert:
Proactive Risk Navigation System for Real-World Urban Intersections. ITSC 2020: 1-8
[i4]Panagiotis Meletis, Xiaoxiao Wen, Chenyang Lu, Daan de Geus, Gijs Dubbelman:
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding. CoRR abs/2004.07944 (2020)
2010 – 2019
- 2019
[c1]Daan de Geus
, Panagiotis Meletis
, Gijs Dubbelman:
Single Network Panoptic Segmentation for Street Scene Understanding. IV 2019: 709-715
[i3]Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Single Network Panoptic Segmentation for Street Scene Understanding. CoRR abs/1902.02678 (2019)
[i2]Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Fast Panoptic Segmentation Network. CoRR abs/1910.03892 (2019)- 2018
[i1]Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network. CoRR abs/1809.02110 (2018)
Coauthor Index

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last updated on 2026-06-18 01:47 CEST by the dblp team
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