| Monocular semantic occupancy grid mapping with convolutional variational encoder–decoder networks C Lu, MJG Van De Molengraft, G Dubbelman IEEE Robotics and Automation Letters 4 (2), 445-452, 2019 | 166* | 2019 |
| Panoptic segmentation with a joint semantic and instance segmentation network D De Geus, P Meletis, G Dubbelman Contender COCO + Mapillary Joint Recognition Challenge Workshop at ECCV 2018, 2018 | 89 | 2018 |
| COP-SLAM: Closed-form online pose-chain optimization for visual SLAM G Dubbelman, B Browning IEEE Transactions on Robotics 31 (5), 1194-1213, 2015 | 83 | 2015 |
| Fast panoptic segmentation network D De Geus, P Meletis, G Dubbelman IEEE Robotics and Automation Letters 5 (2), 1742-1749, 2020 | 68 | 2020 |
| Training of convolutional networks on multiple heterogeneous datasets for street scene semantic segmentation P Meletis, G Dubbelman 2018 IEEE Intelligent Vehicles Symposium (IV), 1045-1050, 2018 | 66 | 2018 |
| Part-aware panoptic segmentation D de Geus, P Meletis, C Lu, X Wen, G Dubbelman Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 63 | 2021 |
| Bias reduction for stereo based motion estimation with applications to large scale visual odometry G Dubbelman, FCA Groen 2009 IEEE Conference on Computer Vision and Pattern Recognition, 2222-2229, 2009 | 45 | 2009 |
| Obstacle detection during day and night conditions using stereo vision G Dubbelman, W van der Mark, JC van den Heuvel, FCA Groen 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007 | 45 | 2007 |
| Single network panoptic segmentation for street scene understanding D de Geus, P Meletis, G Dubbelman 2019 IEEE Intelligent Vehicles Symposium (IV), 709-715, 2019 | 43 | 2019 |
| A domain agnostic normalization layer for unsupervised adversarial domain adaptation R Romijnders, P Meletis, G Dubbelman 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1866-1875, 2019 | 30 | 2019 |
| A survey on path prediction techniques for vulnerable road users: From traditional to deep-learning approaches A Bighashdel, G Dubbelman 2019 IEEE intelligent transportation systems conference (ITSC), 1039-1046, 2019 | 28 | 2019 |
| Free-space detection with self-supervised and online trained fully convolutional networks WP Sanberg, G Dubbelman, PHN de With IS&T International Symposium on Electronic Imaging 2017, 2017 | 28 | 2017 |
| Method of estimating a motion of a multiple camera system, a multiple camera system and a computer program product G Dubbelman, W van der Mark US Patent App. 13/141,312, 2011 | 26 | 2011 |
| Closed-form online pose-chain slam G Dubbelman, B Browning 2013 IEEE International Conference on Robotics and Automation, 5190-5197, 2013 | 25 | 2013 |
| Efficient trajectory bending with applications to loop closure G Dubbelman, I Esteban, K Schutte 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 25 | 2010 |
| Empirical generalization study: Unsupervised domain adaptation vs. domain generalization methods for semantic segmentation in the wild FJ Piva, D De Geus, G Dubbelman Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 22 | 2023 |
| Intrinsic statistical techniques for robust pose estimation G Dubbelman September, 2011 | 22 | 2011 |
| Accurate and robust ego-motion estimation using expectation maximization G Dubbelman, W van der Mark, FCA Groen 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2008 | 21 | 2008 |
| An experimental study on relative and absolute pose graph fusion for vehicle localization A Das, G Dubbelman 2018 IEEE Intelligent Vehicles Symposium (IV), 630-635, 2018 | 20 | 2018 |
| Extending the stixel world with online self-supervised color modeling for road-versus-obstacle segmentation WP Sanberg, G Dubbelman, PHN De With 17th International IEEE Conference on Intelligent Transportation Systems …, 2014 | 20 | 2014 |
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