Obstacle detection during day and night conditions using stereo vision. - Gijs Dubbelman; Wannes van der Mark; Johan H. C. van den Heuvel; Frans C. A. Groen (IROS, 2007)

Accurate and robust ego-motion estimation using expectation maximization. - Gijs Dubbelman; Wannes van der Mark; Frans C. A. Groen (IROS, 2008)

Bias reduction for stereo based motion estimation with applications to large scale visual odometry. - Gijs Dubbelman; Frans C. A. Groen (CVPR, 2009)

Efficient trajectory bending with applications to loop closure. - Gijs Dubbelman; Isaac Esteban; Klamer Schutte (IROS, 2010)

Manifold Statistics for Essential Matrices. - Gijs Dubbelman; Leo Dorst; Henk Pijls (ECCV (2), 2012)

Orientation only loop-closing with closed-form trajectory bending. - Gijs Dubbelman; Peter Hansen 001; Brett Browning; M. Bernardine Dias (ICRA, 2012)

Bias compensation in visual odometry. - Gijs Dubbelman; Peter Hansen 001; Brett Browning (IROS, 2012)

Closed-form Online Pose-chain SLAM. - Gijs Dubbelman; Brett Browning (ICRA, 2013)

Robust sensor cloud localization from range measurements. - Gijs Dubbelman; Erik Duisterwinke; Libertario Demi; Elena Talnishnikh; Heinrich J. Wörtche; Jan W. M. Bergmans (IROS, 2014)

Extending the Stixel World with online self-supervised color modeling for road-versus-obstacle segmentation. - Willem P. Sanberg; Gijs Dubbelman; Peter H. N. de With (ITSC, 2014)

Evaluation of Distance-Aware KinFu Algorithm for Stereo Outdoor Data. - Hani Javan Hemmat; Egor Bondarev; Gijs Dubbelman; Peter H. N. de With (VISAPP (2), 2014)

Improved ICP-based Pose Estimation by Distance-aware 3D Mapping. - Hani Javan Hemmat; Egor Bondarev; Gijs Dubbelman; Peter H. N. de With (VISAPP (3), 2014)

Gender classification in low-resolution surveillance video: in-depth comparison of random forests and SVMs. - Christopher D. Geelen; Rob G. J. Wijnhoven; Gijs Dubbelman; Peter H. N. de With (Video Surveillance and Transportation Imaging Applications, 2015)

On improving IED object detection by exploiting scene geometry using stereo processing. - Dennis W. J. M. van de Wouw; Gijs Dubbelman; Peter H. N. de With (Video Surveillance and Transportation Imaging Applications, 2015)

Color-Based Free-Space Segmentation Using Online Disparity-Supervised Learning. - Willem P. Sanberg; Gijs Dubbelman; Peter H. N. de With (ITSC, 2015)

Training-free moving object detection system based on hierarchical color-guided motion segmentation. - Xinfeng Bao; Gijs Dubbelman; Svitlana Zinger; Peter H. N. de With (MVA, 2015)

COP-SLAM: Closed-Form Online Pose-Chain Optimization for Visual SLAM. - Gijs Dubbelman; Brett Browning (IEEE Trans. Robotics, 2015)

Mapping swarms of resource-limited sensor motes: Solely using distance measurements and non-unique identifiers. - Erik H. A. Duisterwinkel; Gijs Dubbelman; Libertario Demi; Elena Talnishnikh; Jan W. M. Bergmans; Heinrich J. Wörtche (SSCI, 2016)

Hierarchical 2.5-D Scene Alignment for Change Detection With Large Viewpoint Differences. - Dennis W. J. M. van de Wouw; Gijs Dubbelman; Peter H. N. de With (IEEE Robotics Autom. Lett., 2016)

Free-Space Detection with Self-Supervised and Online Trained Fully Convolutional Networks. - Willem P. Sanberg; Gijs Dubbelman; Peter H. N. de With (Autonomous Vehicles and Machines, 2017)

Real-time Estimation of the 3D Transformation between Images with Large Viewpoint Differences in Cluttered Environments. - Dennis W. J. M. van de Wouw; Martin A. R. Pieck; Gijs Dubbelman; Peter H. N. de With (Image Processing: Algorithms and Systems, 2017)

Testing Facilities for End-to-End Test of Vertical Applications Enabled by 5G Networks: Eindhoven 5G Brainport Testbed. - Idelfonso Tafur Monroy; Thiago R. Raddo; Simon Rommel; Chigo Okonkwo; Nicola Calabretta; Ulf Johannsen; Gijs Dubbelman; Jesse Scholtes; Ben Rutten (ICTON, 2018)

An Experimental Study on Relative and Absolute Pose Graph Fusion for Vehicle Localization. - Anweshan Das; Gijs Dubbelman (Intelligent Vehicles Symposium, 2018)

Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation. - Panagiotis Meletis; Gijs Dubbelman (Intelligent Vehicles Symposium, 2018)

Fast 3D Scene Alignment with Stereo Images using a Stixel-based 3D Model. - Dennis W. J. M. van de Wouw; Willem P. Sanberg; Gijs Dubbelman; Peter H. N. de With (VISIGRAPP (4: VISAPP), 2018)

Monocular Semantic Occupancy Grid Mapping with Convolutional Variational Auto-Encoders. - Chenyang Lu 002; Gijs Dubbelman; Marinus Jacobus Gerardus van de Molengraft (CoRR, 2018)

Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network. - Daan de Geus; Panagiotis Meletis; Gijs Dubbelman (CoRR, 2018)

From stixels to asteroids: Towards a collision warning system using stereo vision. - Willem P. Sanberg; Gijs Dubbelman; Peter H. N. de With (Autonomous Vehicles and Machines, 2019)

A Survey on Path Prediction Techniques for Vulnerable Road Users: From Traditional to Deep-Learning Approaches. - Ariyan Bighashdel; Gijs Dubbelman (ITSC, 2019)

Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision. - Panagiotis Meletis; Rob Romijnders; Gijs Dubbelman (ITSC, 2019)

Single Network Panoptic Segmentation for Street Scene Understanding. - Daan de Geus; Panagiotis Meletis; Gijs Dubbelman (IV, 2019)

On Boosting Semantic Street Scene Segmentation with Weak Supervision. - Panagiotis Meletis; Gijs Dubbelman (IV, 2019)

Incremental Hopping-Window Pose-Graph Fusion for Real-Time Vehicle Localization. - Anweshan Das; Gijs Dubbelman (VTC Spring, 2019)

A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation. - Rob Romijnders; Panagiotis Meletis; Gijs Dubbelman (WACV, 2019)

Hallucinating Beyond Observation: Learning to Complete with Partial Observation and Unpaired Prior Knowledge. - Chenyang Lu 002; Gijs Dubbelman (CoRR, 2019)

Development and analysis of a real-time system for automated detection of improvised explosive device indicators from ground vehicles. - Dennis W. J. M. van de Wouw; Frank Bart ter Haar; Gijs Dubbelman; Peter H. N. de With (J. Electronic Imaging, 2019)

Monocular Semantic Occupancy Grid Mapping With Convolutional Variational Encoder-Decoder Networks. - Chenyang Lu 002; Marinus Jacobus Gerardus van de Molengraft; Gijs Dubbelman (IEEE Robotics Autom. Lett., 2019)

Pose-graph based Crowdsourced Mapping Framework. - Anweshan Das; Joris IJsselmuiden; Gijs Dubbelman (CAVS, 2020)

Towards Equilibrium-based Interaction Modeling for Pedestrian Path Prediction. - Ariyan Bighashdel; Panagiotis Meletis; Gijs Dubbelman (ITSC, 2020)

Architecture Design and Development of an On-board Stereo Vision System for Cooperative Automated Vehicles. - Narsimlu Kemsaram; Anweshan Das; Gijs Dubbelman (ITSC, 2020)

A Stereo Perception Framework for Autonomous Vehicles. - Narsimlu Kemsaram; Anweshan Das; Gijs Dubbelman (VTC Spring, 2020)

Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding. - Panagiotis Meletis; Xiaoxiao Wen; Chenyang Lu 002; Daan de Geus; Gijs Dubbelman (CoRR, 2020)

Image-Graph-Image Translation via Auto-Encoding. - Chenyang Lu 002; Gijs Dubbelman (CoRR, 2020)

Vision-Enhanced Low-Cost Localization in Crowdsourced Maps. - Benedict Flade; Axel Koppert; Gorka Vélez; Anweshan Das; David Bétaille; Gijs Dubbelman; Oihana Otaegui; Julian Eggert (IEEE Intell. Transp. Syst. Mag., 2020)

Learning to complete partial observations from unpaired prior knowledge. - Chenyang Lu 002; Gijs Dubbelman (Pattern Recognit., 2020)

Fast Panoptic Segmentation Network. - Daan de Geus; Panagiotis Meletis; Gijs Dubbelman (IEEE Robotics Autom. Lett., 2020)

Semantic Foreground Inpainting From Weak Supervision. - Chenyang Lu 002; Gijs Dubbelman (IEEE Robotics Autom. Lett., 2020)

Part-Aware Panoptic Segmentation. - Daan de Geus; Panagiotis Meletis; Chenyang Lu 002; Xiaoxiao Wen; Gijs Dubbelman (CVPR, 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 (CVPR Workshops, 2021)

Deep Adaptive Multi-intention Inverse Reinforcement Learning. - Ariyan Bighashdel; Panagiotis Meletis; Pavol Jancura; Gijs Dubbelman (ECML/PKDD (1), 2021)

Real-Time Vehicle Positioning and Mapping Using Graph Optimization. - Anweshan Das; Jos Elfring; Gijs Dubbelman (Sensors, 2021)

ASTEROIDS: A Stixel Tracking Extrapolation-Based Relevant Obstacle Impact Detection System. - Willem P. Sanberg; Gijs Dubbelman; Peter H. N. de With (IEEE Trans. Intell. Veh., 2021)

Self-Supervised Road Layout Parsing with Graph Auto-Encoding. - Chenyang Lu 002; Gijs Dubbelman (IV, 2022)

Scene Spatio-Temporal Graph Convolutional Network for Pedestrian Intention Estimation. - Abhilash Y. Naik; Ariyan Bighashdel; Pavol Jancura; Gijs Dubbelman (IV, 2022)

Learning to Predict Collision Risk from Simulated Video Data. - Tim J. Schoonbeek; Fabrizio J. Piva; Hamid R. Abdolhay; Gijs Dubbelman (IV, 2022)

Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers. - Chenyang Lu 002; Daan de Geus; Gijs Dubbelman (CVPR, 2023)

Unified Pedestrian Path Prediction Framework: A Comparison Study. - Jarl L. A. Lemmens; Ariyan Bighashdel; Pavol Jancura; Gijs Dubbelman (IV, 2023)

Intra-Batch Supervision for Panoptic Segmentation on High-Resolution Images. - Daan de Geus; 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)

Training Semantic Segmentation on Heterogeneous Datasets. - Panagiotis Meletis; Gijs Dubbelman (CoRR, 2023)

Unified Perception: Efficient Depth-Aware Video Panoptic Segmentation with Minimal Annotation Costs. - Kurt Stolle; Gijs Dubbelman (CoRR, 2023)

Coordinating Fully-Cooperative Agents Using Hierarchical Learning Anticipation. - Ariyan Bighashdel; Daan de Geus; Pavol Jancura; Gijs Dubbelman (CoRR, 2023)

Continual Pedestrian Trajectory Learning With Social Generative Replay. - Ya Wu; Ariyan Bighashdel; Guang Chen 001; Gijs Dubbelman; Pavol Jancura (IEEE Robotics Autom. Lett., 2023)

Correction to: Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations. - Ariyan Bighashdel; Pavol Jancura; Gijs Dubbelman (Mach. Learn., 2023)

Model-free inverse reinforcement learning with multi-intention, unlabeled, and overlapping demonstrations. - Ariyan Bighashdel; Pavol Jancura; Gijs Dubbelman (Mach. Learn., 2023)

Exploiting image translations via ensemble self-supervised learning for Unsupervised Domain Adaptation. - Fabrizio J. Piva; Gijs Dubbelman (Comput. Vis. Image Underst., 2023)

Exploring the Benefits of Vision Foundation Models for Unsupervised Domain Adaptation. - Brunó Bence Englert; Fabrizio J. Piva; Tommie Kerssies; Daan de Geus; Gijs Dubbelman (CVPR Workshops, 2024)

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

How to Benchmark Vision Foundation Models for Semantic Segmentation? - Tommie Kerssies; Daan de Geus; Gijs Dubbelman (CVPR Workshops, 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)

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 003; Ming Tang 001; Jinqiao Wang; Tomás Vojír; et al. (ECCV Workshops (17), 2024)

A Resource Efficient Fusion Network for Object Detection in Bird's-Eye View using Camera and Raw Radar Data. - Kavin Chandrasekaran; Sorin Grigorescu; Gijs Dubbelman; Pavol Jancura (ITSC, 2024)

Class Prototypical Loss for Enhanced Feature Separation in 3D Object Detection. - Marc Gutiérrez-Pérez; Antonio Agudo; Gijs Dubbelman; Pavol Jancura (ITSC, 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)

Off-Policy Action Anticipation in Multi-Agent Reinforcement Learning. - Ariyan Bighashdel; Daan de Geus; Pavol Jancura; Gijs Dubbelman (J. Mach. Learn. Res., 2024)

What is the Added Value of UDA in the VFM Era? - Brunó Bence Englert; Tommie Kerssies; Gijs Dubbelman (CVPR Workshops, 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, 2025)

VFM-UDA++: Improving Network Architectures and Data Strategies for Unsupervised Domain Adaptive Semantic Segmentation. - Brunó Bence Englert; Gijs Dubbelman (CoRR, 2025)

Simplifying Traffic Anomaly Detection with Video Foundation Models. - Svetlana Orlova; Tommie Kerssies; Brunó Bence Englert; Gijs Dubbelman (CoRR, 2025)