| Context-based pedestrian path prediction JFP Kooij, N Schneider, F Flohr, DM Gavrila Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 359 | 2014 |
| Eurocity persons: A novel benchmark for person detection in traffic scenes M Braun, S Krebs, F Flohr, DM Gavrila IEEE transactions on pattern analysis and machine intelligence 41 (8), 1844-1861, 2019 | 252 | 2019 |
| Context-based path prediction for targets with switching dynamics JFP Kooij, F Flohr, EAI Pool, DM Gavrila International Journal of Computer Vision 127 (3), 239-262, 2019 | 148 | 2019 |
| A new benchmark for vision-based cyclist detection X Li, F Flohr, Y Yang, H Xiong, M Braun, S Pan, K Li, DM Gavrila 2016 IEEE Intelligent Vehicles Symposium (IV), 1028-1033, 2016 | 141 | 2016 |
| A unified framework for concurrent pedestrian and cyclist detection X Li, L Li, F Flohr, J Wang, H Xiong, M Bernhard, S Pan, DM Gavrila, K Li IEEE transactions on intelligent transportation systems 18 (2), 269-281, 2016 | 117 | 2016 |
| Pose-rcnn: Joint object detection and pose estimation using 3d object proposals M Braun, Q Rao, Y Wang, F Flohr 2016 IEEE 19th International Conference on Intelligent Transportation …, 2016 | 80 | 2016 |
| The eurocity persons dataset: A novel benchmark for object detection M Braun, S Krebs, F Flohr, DM Gavrila arXiv preprint arXiv:1805.07193, 2018 | 79 | 2018 |
| A probabilistic framework for joint pedestrian head and body orientation estimation F Flohr, M Dumitru-Guzu, JFP Kooij, DM Gavrila Intelligent Transportation Systems, IEEE Transactions on, 1 - 11, 2015 | 75 | 2015 |
| PedCut: an iterative framework for pedestrian segmentation combining shape models and multiple data cues F Flohr, DM Gavrila British Machine Vision Conference (BMVC), 2013 | 49 | 2013 |
| Driver and pedestrian awareness-based collision risk analysis M Roth, F Flohr, DM Gavrila 2016 IEEE Intelligent Vehicles Symposium (IV), 454-459, 2016 | 46 | 2016 |
| Joint probabilistic pedestrian head and body orientation estimation F Flohr, M Dumitru-Guzu, JFP Kooij, DM Gavrila 2014 IEEE Intelligent Vehicles Symposium Proceedings, 617-622, 2014 | 44 | 2014 |
| A survey on leveraging deep neural networks for object tracking S Krebs, B Duraisamy, F Flohr 2017 IEEE 20th international conference on Intelligent Transportation …, 2017 | 41 | 2017 |
| Vru pose-ssd: Multiperson pose estimation for automated driving C Kumar, J Ramesh, B Chakraborty, R Raman, C Weinrich, A Mundhada, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 15331 …, 2021 | 17 | 2021 |
| Traffic police gesture recognition by pose graph convolutional networks Z Fang, W Zhang, Z Guo, R Zhi, B Wang, F Flohr 2020 IEEE Intelligent Vehicles Symposium (IV), 1833-1838, 2020 | 15 | 2020 |
| Advancing active safety towards the protection of vulnerable road users: the PROSPECT project A Aparicio, L Sanz, G Burnett, H Stoll, M Arbitmann, M Kunert, F Flohr, ... 25th international technical conference on the enhanced safety of vehicles …, 2017 | 13 | 2017 |
| Urbanpose: A new benchmark for vru pose estimation in urban traffic scenes S Wang, D Yang, B Wang, Z Guo, R Verma, J Ramesh, C Weinrich, ... 2021 IEEE Intelligent Vehicles Symposium (IV), 1537-1544, 2021 | 12 | 2021 |
| Point cloud generation with continuous conditioning LT Triess, A Bühler, D Peter, FB Flohr, JM Zöllner arXiv preprint arXiv:2202.08526, 2022 | 7 | 2022 |
| Recurrent neural network architectures for vulnerable road user trajectory prediction H Xiong, FB Flohr, S Wang, B Wang, J Wang, K Li 2019 IEEE Intelligent Vehicles Symposium (IV), 171-178, 2019 | 7 | 2019 |
| Building a computer vision research vehicle with ROS A Fregin, M Roth, M Braun, S Krebs, F Flohr Proc. of the ROSCon 2017, 2017 | 7 | 2017 |
| Leverage of limb detection in pose estimation for vulnerable road users S Wang, FB Flohr, H Xiong, T Wen, B Wang, M Yang, D Yang 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 528-534, 2019 | 6 | 2019 |
Dariu M. GavrilaFull Professor at Delft University of TechnologyDirección de correo verificada de gavrila.net
