| Flow fields: Dense correspondence fields for highly accurate large displacement optical flow estimation C Bailer, B Taetz, D Stricker Proceedings of the IEEE international conference on computer vision, 4015-4023, 2015 | 327 | 2015 |
| CNN-based Patch Matching for Optical Flow with Thresholded Hinge Embedding Loss C Bailer, K Varanasi, D Stricker IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 154 | 2017 |
| A superior tracking approach: Building a strong tracker through fusion C Bailer, A Pagani, D Stricker Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 99 | 2014 |
| Scale robust multi view stereo C Bailer, M Finckh, HPA Lensch Computer Vision–ECCV 2012: 12th European Conference on Computer Vision …, 2012 | 93 | 2012 |
| SceneFlowFields: Dense interpolation of sparse scene flow correspondences R Schuster, O Wasenmuller, G Kuschk, C Bailer, D Stricker 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1056-1065, 2018 | 50 | 2018 |
| Fast Dense Feature Extraction with CNNs that have Pooling or Striding Layers C Bailer, TA Habtegebrial, K Varanasi, D Stricker British Machine Vision Conference (BMVC) 2017, 2017 | 41* | 2017 |
| Combining stereo disparity and optical flow for basic scene flow R Schuster, C Bailer, O Wasenmüller, D Stricker Commercial Vehicle Technology 2018: Proceedings of the 5th Commercial …, 2018 | 34 | 2018 |
| FlowFields++: Accurate optical flow correspondences meet robust interpolation R Schuster, C Bailer, O Wasenmüller, D Stricker 2018 25th IEEE International Conference on Image Processing (ICIP), 1463-1467, 2018 | 28 | 2018 |
| Fast view synthesis with deep stereo vision T Habtegebrial, K Varanasi, C Bailer, D Stricker arXiv preprint arXiv:1804.09690, 2018 | 17 | 2018 |
| Fast feature extraction with CNNs with pooling layers. arXiv 2018 C Bailer, T Habtegebrial, K Varanasi, D Stricker arXiv preprint arXiv:1805.03096, 2018 | 10 | 2018 |
| A user supported object tracking framework for interactive video production C Bailer, A Pagani, D Stricker Journal of Virtual Reality and Broadcasting 11 (9), 2014 | 4* | 2014 |
| Towards flow estimation in automotive scenarios R Schuster, O Wasenmüller, G Kuschk, C Bailer, D Stricker ACM Computer Science in Cars Symposium (CSCS) 1, 2017 | 3 | 2017 |
| Tracker Fusion on VOT Challenge: How does it perform and what can we learn about single trackers? C Bailer, D Stricker Proceedings of the IEEE International Conference on Computer Vision …, 2015 | 3 | 2015 |
| A Simple Real-Time Eye Tracking and Calibration Approach for Autostereoscopic 3D Displays C Bailer, J Henriques, N Schmitz, D Stricker VISAPP 2015, 2015 | 3 | 2015 |
| 2019 Index IEEE Transactions on Pattern Analysis and Machine Intelligence Vol. 41 D Abati, W AbdAlmageed, E Adeli, M Aertsen, A Agudo, S Aguinaga, ... IEEE Transactions on Pattern Analysis and Machine Intelligence 42 (1), 2020 | | 2020 |
| Bildbasierte Messung und Analyse sportlicher Aktivitäten A PAGANI, C BAILER, D STRICKER | | |
| OnEye–Producing and broadcasting generalized interactive videos A Pagani, C Bailer, D Stricker | | |
Didier StrickerProfessor for Computer Science, University KaiserslauternEmail confirmado em dfki.uni-kl.de
