default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGijs Dubbelman
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j15]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)- [c48]Tommie Kerssies, Daan de Geus, Gijs Dubbelman:
How to Benchmark Vision Foundation Models for Semantic Segmentation? CVPR Workshops 2024: 1162-1171 - [c47]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 - [c46]Daan de Geus, Gijs Dubbelman:
Task-Aligned Part-Aware Panoptic Segmentation Through Joint Object-Part Representations. CVPR 2024: 3174-3183 - [c45]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 - [i29]Tommie Kerssies, Daan de Geus, Gijs Dubbelman:
How to Benchmark Vision Foundation Models for Semantic Segmentation? CoRR abs/2404.12172 (2024) - [i28]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) - [i27]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) - [i26]Daan de Geus, Gijs Dubbelman:
Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations. CoRR abs/2406.10114 (2024) - [i25]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) - [i24]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
- [j14]Fabrizio J. Piva
, Gijs Dubbelman:
Exploiting image translations via ensemble self-supervised learning for Unsupervised Domain Adaptation. Comput. Vis. Image Underst. 234: 103745 (2023) - [j13]Ariyan Bighashdel, Pavol Jancura, Gijs Dubbelman:
Correction to: Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations. Mach. Learn. 112(2): 429-430 (2023) - [j12]Ariyan Bighashdel, Pavol Jancura, Gijs Dubbelman:
Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations. Mach. Learn. 112(7): 2263-2296 (2023) - [j11]Ya Wu, Ariyan Bighashdel, Guang Chen, Gijs Dubbelman, Pavol Jancura:
Continual Pedestrian Trajectory Learning With Social Generative Replay. IEEE Robotics Autom. Lett. 8(2): 848-855 (2023) - [c44]Chenyang Lu, Daan de Geus, Gijs Dubbelman:
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers. CVPR 2023: 23631-23640 - [c43]Jarl L. A. Lemmens, Ariyan Bighashdel, Pavol Jancura, Gijs Dubbelman:
Unified Pedestrian Path Prediction Framework: A Comparison Study. IV 2023: 1-8 - [c42]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 - [c41]Daan de Geus, Gijs Dubbelman:
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images. WACV 2023: 3164-3172 - [i23]Panagiotis Meletis, Gijs Dubbelman:
Training Semantic Segmentation on Heterogeneous Datasets. CoRR abs/2301.07634 (2023) - [i22]Kurt Stolle, Gijs Dubbelman:
Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs. CoRR abs/2303.01991 (2023) - [i21]Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman:
Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation. CoRR abs/2303.08307 (2023) - [i20]Ariyan Bighashdel, Daan de Geus, Pavol Jancura, Gijs Dubbelman:
Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning. CoRR abs/2304.01447 (2023) - [i19]Daan de Geus, Gijs Dubbelman:
Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images. CoRR abs/2304.08222 (2023) - [i18]Chenyang Lu, Daan de Geus, Gijs Dubbelman:
Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers. CoRR abs/2306.02095 (2023) - 2022
- [c40]Chenyang Lu, Gijs Dubbelman:
Self-Supervised Road Layout Parsing with Graph Auto-Encoding. IV 2022: 842-851 - [c39]Abhilash Y. Naik, Ariyan Bighashdel, Pavol Jancura, Gijs Dubbelman:
Scene Spatio-Temporal Graph Convolutional Network for Pedestrian Intention Estimation. IV 2022: 874-881 - [c38]Tim J. Schoonbeek, Fabrizio J. Piva, Hamid R. Abdolhay, Gijs Dubbelman:
Learning to Predict Collision Risk from Simulated Video Data. IV 2022: 943-951 - [i17]Chenyang Lu, Gijs Dubbelman:
Self-Supervised Road Layout Parsing with Graph Auto-Encoding. CoRR abs/2203.11000 (2022) - 2021
- [j10]Anweshan Das, Jos Elfring, Gijs Dubbelman:
Real-Time Vehicle Positioning and Mapping Using Graph Optimization. Sensors 21(8): 2815 (2021) - [j9]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
ASTEROIDS: A Stixel Tracking Extrapolation-Based Relevant Obstacle Impact Detection System. IEEE Trans. Intell. Veh. 6(1): 34-46 (2021) - [c37]Clint Sebastian, Raffaele Imbriaco, Panagiotis Meletis, Gijs Dubbelman, Egor Bondarev, Peter H. N. de With:
TIED: A Cycle Consistent Encoder-Decoder Model for Text-to-Image Retrieval. CVPR Workshops 2021: 4138-4146 - [c36]Daan de Geus, Panagiotis Meletis, Chenyang Lu, Xiaoxiao Wen, Gijs Dubbelman:
Part-Aware Panoptic Segmentation. CVPR 2021: 5485-5494 - [c35]Ariyan Bighashdel, Panagiotis Meletis, Pavol Jancura, Gijs Dubbelman:
Deep Adaptive Multi-intention Inverse Reinforcement Learning. ECML/PKDD (1) 2021: 206-221 - [i16]Daan de Geus, Panagiotis Meletis, Chenyang Lu, Xiaoxiao Wen, Gijs Dubbelman:
Part-aware Panoptic Segmentation. CoRR abs/2106.06351 (2021) - [i15]Fabrizio J. Piva, Gijs Dubbelman:
Exploiting Image Translations via Ensemble Self-Supervised Learning for Unsupervised Domain Adaptation. CoRR abs/2107.06235 (2021) - [i14]Ariyan Bighashdel, Panagiotis Meletis, Pavol Jancura, Gijs Dubbelman:
Deep Adaptive Multi-Intention Inverse Reinforcement Learning. CoRR abs/2107.06692 (2021) - 2020
- [j8]Benedict Flade, Axel Koppert, Gorka Vélez, Anweshan Das, David Bétaille, Gijs Dubbelman, Oihana Otaegui, Julian Eggert:
Vision-Enhanced Low-Cost Localization in Crowdsourced Maps. IEEE Intell. Transp. Syst. Mag. 12(3): 70-80 (2020) - [j7]Chenyang Lu, Gijs Dubbelman:
Learning to complete partial observations from unpaired prior knowledge. Pattern Recognit. 107: 107426 (2020) - [j6]Chenyang Lu, Gijs Dubbelman:
Semantic Foreground Inpainting From Weak Supervision. IEEE Robotics Autom. Lett. 5(2): 1334-1341 (2020) - [j5]Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Fast Panoptic Segmentation Network. IEEE Robotics Autom. Lett. 5(2): 1742-1749 (2020) - [c34]Anweshan Das, Joris IJsselmuiden, Gijs Dubbelman:
Pose-graph based Crowdsourced Mapping Framework. CAVS 2020: 1-7 - [c33]Ariyan Bighashdel, Panagiotis Meletis, Gijs Dubbelman:
Towards Equilibrium-based Interaction Modeling for Pedestrian Path Prediction. ITSC 2020: 1-8 - [c32]Narsimlu Kemsaram, Anweshan Das, Gijs Dubbelman:
Architecture Design and Development of an On-board Stereo Vision System for Cooperative Automated Vehicles. ITSC 2020: 1-8 - [c31]Narsimlu Kemsaram, Anweshan Das, Gijs Dubbelman:
A Stereo Perception Framework for Autonomous Vehicles. VTC Spring 2020: 1-6 - [i13]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) - [i12]Chenyang Lu, Gijs Dubbelman:
Image-Graph-Image Translation via Auto-Encoding. CoRR abs/2012.05975 (2020)
2010 – 2019
- 2019
- [j4]Dennis W. J. M. van de Wouw, Frank Bart ter Haar, Gijs Dubbelman, Peter H. N. de With:
Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles. J. Electronic Imaging 28(4): 043009 (2019) - [j3]Chenyang Lu, Marinus Jacobus Gerardus van de Molengraft, Gijs Dubbelman:
Monocular Semantic Occupancy Grid Mapping With Convolutional Variational Encoder-Decoder Networks. IEEE Robotics Autom. Lett. 4(2): 445-452 (2019) - [c30]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
From stixels to asteroids: Towards a collision warning system using stereo vision. Autonomous Vehicles and Machines 2019: 1-7 - [c29]Ariyan Bighashdel, Gijs Dubbelman:
A Survey on Path Prediction Techniques for Vulnerable Road Users: From Traditional to Deep-Learning Approaches. ITSC 2019: 1039-1046 - [c28]Panagiotis Meletis, Rob Romijnders, Gijs Dubbelman:
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision. ITSC 2019: 3682-3688 - [c27]Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Single Network Panoptic Segmentation for Street Scene Understanding. IV 2019: 709-715 - [c26]Panagiotis Meletis, Gijs Dubbelman:
On Boosting Semantic Street Scene Segmentation with Weak Supervision. IV 2019: 1334-1339 - [c25]Anweshan Das, Gijs Dubbelman:
Incremental Hopping-Window Pose-Graph Fusion for Real-Time Vehicle Localization. VTC Spring 2019: 1-7 - [c24]Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman:
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation. WACV 2019: 1866-1875 - [i11]Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Single Network Panoptic Segmentation for Street Scene Understanding. CoRR abs/1902.02678 (2019) - [i10]Panagiotis Meletis, Gijs Dubbelman:
On Boosting Semantic Street Scene Segmentation with Weak Supervision. CoRR abs/1903.03462 (2019) - [i9]Panagiotis Meletis, Rob Romijnders, Gijs Dubbelman:
Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision. CoRR abs/1907.07023 (2019) - [i8]Chenyang Lu, Gijs Dubbelman:
Hallucinating Beyond Observation: Learning to Complete with Partial Observation and Unpaired Prior Knowledge. CoRR abs/1907.09786 (2019) - [i7]Chenyang Lu, Gijs Dubbelman:
Semantic Foreground Inpainting from Weak Supervision. CoRR abs/1909.04564 (2019) - [i6]Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Fast Panoptic Segmentation Network. CoRR abs/1910.03892 (2019) - 2018
- [c23]Idelfonso Tafur Monroy, Thiago R. Raddo, Simon Rommel, Chigo Okonkwo, Nicola Calabretta, Ulf Johannsen, Gijs Dubbelman, Jesse Scholtes, Ben Rutten:
Testing Facilities for End-to-End Test of Vertical Applications Enabled by 5G Networks: Eindhoven 5G Brainport Testbed. ICTON 2018: 1-5 - [c22]Anweshan Das, Gijs Dubbelman:
An Experimental Study on Relative and Absolute Pose Graph Fusion for Vehicle Localization. Intelligent Vehicles Symposium 2018: 630-635 - [c21]Panagiotis Meletis, Gijs Dubbelman:
Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation. Intelligent Vehicles Symposium 2018: 1045-1050 - [c20]Dennis W. J. M. van de Wouw, Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
Fast 3D Scene Alignment with Stereo Images using a Stixel-based 3D Model. VISIGRAPP (4: VISAPP) 2018: 250-259 - [i5]Panagiotis Meletis, Gijs Dubbelman:
Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation. CoRR abs/1803.05675 (2018) - [i4]Chenyang Lu, Gijs Dubbelman, Marinus Jacobus Gerardus van de Molengraft:
Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Auto-Encoders. CoRR abs/1804.02176 (2018) - [i3]Daan de Geus, Panagiotis Meletis, Gijs Dubbelman:
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network. CoRR abs/1809.02110 (2018) - [i2]Rob Romijnders, Panagiotis Meletis, Gijs Dubbelman:
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation. CoRR abs/1809.05298 (2018) - 2017
- [c19]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks. Autonomous Vehicles and Machines 2017: 54-61 - [c18]Dennis W. J. M. van de Wouw, Martin A. R. Pieck, Gijs Dubbelman, Peter H. N. de With:
Real-time Estimation of the 3D Transformation between Images with Large Viewpoint Differences in Cluttered Environments. Image Processing: Algorithms and Systems 2017: 109-116 - 2016
- [j2]Dennis W. J. M. van de Wouw, Gijs Dubbelman, Peter H. N. de With:
Hierarchical 2.5-D Scene Alignment for Change Detection With Large Viewpoint Differences. IEEE Robotics Autom. Lett. 1(1): 361-368 (2016) - [c17]Erik H. A. Duisterwinkel, Gijs Dubbelman, Libertario Demi, Elena Talnishnikh, Jan W. M. Bergmans, Heinrich J. Wörtche:
Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers. SSCI 2016: 1-8 - [i1]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks. CoRR abs/1604.02316 (2016) - 2015
- [j1]Gijs Dubbelman, Brett Browning:
COP-SLAM: Closed-Form Online Pose-Chain Optimization for Visual SLAM. IEEE Trans. Robotics 31(5): 1194-1213 (2015) - [c16]Christopher D. Geelen, Rob G. J. Wijnhoven, Gijs Dubbelman, Peter H. N. de With:
Gender classification in low-resolution surveillance video: in-depth comparison of random forests and SVMs. Video Surveillance and Transportation Imaging Applications 2015: 94070M - [c15]Dennis W. J. M. van de Wouw, Gijs Dubbelman, Peter H. N. de With:
On improving IED object detection by exploiting scene geometry using stereo processing. Video Surveillance and Transportation Imaging Applications 2015: 94070T - [c14]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
Color-Based Free-Space Segmentation Using Online Disparity-Supervised Learning. ITSC 2015: 906-912 - [c13]Xinfeng Bao, Gijs Dubbelman, Svitlana Zinger, Peter H. N. de With:
Training-free moving object detection system based on hierarchical color-guided motion segmentation. MVA 2015: 154-157 - 2014
- [c12]Gijs Dubbelman, Erik Duisterwinke, Libertario Demi, Elena Talnishnikh, Heinrich J. Wörtche, Jan W. M. Bergmans:
Robust sensor cloud localization from range measurements. IROS 2014: 3820-3827 - [c11]Willem P. Sanberg, Gijs Dubbelman, Peter H. N. de With:
Extending the Stixel World with online self-supervised color modeling for road-versus-obstacle segmentation. ITSC 2014: 1400-1407 - [c10]Hani Javan Hemmat, Egor Bondarev, Gijs Dubbelman, Peter H. N. de With:
Improved ICP-based Pose Estimation by Distance-aware 3D Mapping. VISAPP (3) 2014: 360-367 - [c9]Hani Javan Hemmat, Egor Bondarev, Gijs Dubbelman, Peter H. N. de With:
Evaluation of Distance-Aware KinFu Algorithm for Stereo Outdoor Data. VISAPP (2) 2014: 746-751 - 2013
- [c8]Gijs Dubbelman, Brett Browning:
Closed-form Online Pose-chain SLAM. ICRA 2013: 5190-5197 - 2012
- [c7]Gijs Dubbelman, Leo Dorst, Henk Pijls:
Manifold Statistics for Essential Matrices. ECCV (2) 2012: 531-544 - [c6]Gijs Dubbelman, Peter Hansen, Brett Browning, M. Bernardine Dias:
Orientation only loop-closing with closed-form trajectory bending. ICRA 2012: 815-821 - [c5]Gijs Dubbelman, Peter Hansen, Brett Browning:
Bias compensation in visual odometry. IROS 2012: 2828-2835 - 2010
- [c4]Gijs Dubbelman, Isaac Esteban, Klamer Schutte:
Efficient trajectory bending with applications to loop closure. IROS 2010: 4836-4842
2000 – 2009
- 2009
- [c3]Gijs Dubbelman, Frans C. A. Groen:
Bias reduction for stereo based motion estimation with applications to large scale visual odometry. CVPR 2009: 2222-2229 - 2008
- [c2]Gijs Dubbelman, Wannes van der Mark, Frans C. A. Groen:
Accurate and robust ego-motion estimation using expectation maximization. IROS 2008: 3914-3920 - 2007
- [c1]Gijs Dubbelman, Wannes van der Mark, Johan H. C. van den Heuvel, Frans C. A. Groen:
Obstacle detection during day and night conditions using stereo vision. IROS 2007: 109-116
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-18 19:33 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
