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 | 25 | 2017 |
Instance-level segmentation of vehicles by deep contours J van den Brand, M Ochs, R Mester Asian Conference on Computer Vision, 477-492, 2016 | 19 | 2016 |
Keypoint trajectory estimation using propagation based tracking N Fanani, M Ochs, H Bradler, R Mester 2016 IEEE Intelligent Vehicles Symposium (IV), 933-939, 2016 | 15 | 2016 |
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 | 14 | 2015 |
Sdnet: Semantically guided depth estimation network M Ochs, A Kretz, R Mester German Conference on Pattern Recognition, 288-302, 2019 | 11 | 2019 |
Evaluating visual ADAS components on the COnGRATS dataset D Biedermann, M Ochs, R Mester 2016 IEEE Intelligent Vehicles Symposium (IV), 986-991, 2016 | 10 | 2016 |
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 | 7 | 2017 |
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 | 6 | 2018 |
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 | 6 | 2016 |
Enhanced phase correlation for reliable and robust estimation of multiple motion distributions M Ochs, H Bradler, R Mester Image and Video Technology, 368-379, 2015 | 4 | 2015 |
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 |
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network R Kreuzig, M Ochs, R Mester Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019 | 2 | 2019 |
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), 0-0, 2018 | 1 | 2018 |
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks L Rozo, M Guo, AG Kupcsik, M Todescato, P Schillinger, M Giftthaler, ... arXiv preprint arXiv:2008.10471, 2020 | | 2020 |
Spatio-Temporal Depth Interpolation (STDI) M Ochs, H Bradler, R Mester 2018 IEEE Intelligent Vehicles Symposium (IV), 1742-1748, 2018 | | 2018 |
Erfassung der Oberkörperpose im Kraftfahrzeug. M Ochs, A Schick, R Stiefelhagen Mensch & Computer Workshopband, 211-219, 2014 | | 2014 |