| Sdnet: Semantically guided depth estimation network M Ochs, A Kretz, R Mester Pattern Recognition: 41st DAGM German Conference, DAGM GCPR 2019, Dortmund …, 2019 | 36 | 2019 |
| Predictive monocular odometry (PMO): What is possible without RANSAC and multiframe bundle adjustment? N Fanani, A Stürck, M Ochs, H Bradler, R Mester Image and Vision Computing 68, 3-13, 2017 | 30 | 2017 |
| Instance-level segmentation of vehicles by deep contours J van den Brand, M Ochs, R Mester Computer Vision–ACCV 2016 Workshops: ACCV 2016 International Workshops …, 2017 | 19 | 2017 |
| Keypoint trajectory estimation using propagation based tracking N Fanani, M Ochs, H Bradler, R Mester 2016 IEEE Intelligent Vehicles Symposium (IV), 933-939, 2016 | 18 | 2016 |
| Learning and sequencing of object-centric manipulation skills for industrial tasks L Rozo, M Guo, AG Kupcsik, M Todescato, P Schillinger, M Giftthaler, ... 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 16 | 2020 |
| Estimation of automotive pitch, yaw, and roll using enhanced phase correlation on multiple far-field windows M Barnada, C Conrad, H Bradler, M Ochs, R Mester 2015 IEEE Intelligent Vehicles Symposium (IV), 481-486, 2015 | 15 | 2015 |
| Evaluating visual ADAS components on the COnGRATS dataset D Biedermann, M Ochs, R Mester 2016 IEEE Intelligent Vehicles Symposium (IV), 986-991, 2016 | 13 | 2016 |
| DistanceNet: Estimating traveled distance from monocular images using a recurrent convolutional neural network R Kreuzig, M Ochs, R Mester Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 10 | 2019 |
| Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences H Bradler, M Ochs, N Fanani, R Mester 2017 IEEE Winter Conference on Applications of Computer Vision (WACV), 445-453, 2017 | 10 | 2017 |
| COnGRATS: Realistic simulation of traffic sequences for autonomous driving D Biedermann, M Ochs, R Mester Image and Vision Computing New Zealand (IVCNZ), 2015 International …, 2016 | 8 | 2016 |
| CNN-based multi-frame IMO detection from a monocular camera N Fanani, M Ochs, A Sturck, R Mester 2018 IEEE Intelligent Vehicles Symposium (IV), 957-964, 2018 | 7 | 2018 |
| Enhanced phase correlation for reliable and robust estimation of multiple motion distributions M Ochs, H Bradler, R Mester Image and Video Technology: 7th Pacific-Rim Symposium, PSIVT 2015, Auckland …, 2016 | 4 | 2016 |
| CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection K Guirguis, A Hendawy, G Eskandar, M Abdelsamad, M Kayser, J Beyerer Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 3 | 2022 |
| Detecting parallel-moving objects in the monocular case employing CNN depth maps N Fanani, M Ochs, R Mester Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 3 | 2018 |
| Learning rank reduced interpolation with principal component analysis M Ochs, H Bradler, R Master 2017 IEEE Intelligent Vehicles Symposium (IV), 1126-1133, 2017 | 3 | 2017 |
| Spatio-Temporal Depth Interpolation (STDI) M Ochs, H Bradler, R Mester 2018 IEEE Intelligent Vehicles Symposium (IV), 1742-1748, 2018 | 1 | 2018 |
| NIFF: Alleviating Forgetting in Generalized Few-Shot Object Detection via Neural Instance Feature Forging K Guirguis, J Meier, G Eskandar, M Kayser, B Yang, J Beyerer arXiv preprint arXiv:2303.04958, 2023 | | 2023 |
| Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors K Guirguis, M Abdelsamad, G Eskandar, A Hendawy, M Kayser, B Yang, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | | 2023 |
| Few-Shot Object Detection in Unseen Domains K Guirguis, G Eskandar, M Kayser, B Yang, J Beyerer arXiv preprint arXiv:2204.05072, 2022 | | 2022 |
| Erfassung der Oberkörperpose im Kraftfahrzeug. M Ochs, A Schick, R Stiefelhagen Mensch & Computer Workshopband, 211-219, 2014 | | 2014 |
Karim GuirguisRobert Bosch GmbHBestätigte E-Mail-Adresse bei de.bosch.com
Karim GuirguisRobert Bosch GmbHBestätigte E-Mail-Adresse bei de.bosch.com