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Journal Articles
- 2017
[j2]Nolang Fanani, Alina Sturck, Matthias Ochs, Henry Bradler, Rudolf Mester
:
Predictive monocular odometry (PMO): What is possible without RANSAC and multiframe bundle adjustment? Image Vis. Comput. 68: 3-13 (2017)- 2015
- [j1]Roman Grothausmann, Manuela Kellner, Marko Heidrich, Raoul-Amadeus Lorbeer, Tammo Ripken, Heiko Meyer, Mark P. Kuehnel, Matthias Ochs, Bodo Rosenhahn:
Method for 3D Airway Topology Extraction. Comput. Math. Methods Medicine 2015: 127010:1-127010:7 (2015)
Conference and Workshop Papers
- 2024
- [c18]Matthias Ochs, Markus Dietl, Ralf Brederlow:
An Analog and Time-Discrete Neuron with Charge-Injection for Use in Ultra-Low Power Spiking Neural Networks. PRIME 2024: 1-4 - 2020
- [c17]Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger:
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks. IROS 2020: 9072-9079 - 2019
- [c16]Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network. CVPR Workshops 2019: 69-77 - [c15]Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network. CVPR Workshops 2019: 1258-1266 - [c14]Matthias Ochs, Adrian Kretz, Rudolf Mester:
SDNet: Semantically Guided Depth Estimation Network. GCPR 2019: 288-302 - 2018
- [c13]Nolang Fanani, Matthias Ochs, Rudolf Mester:
Detecting Parallel-Moving Objects in the Monocular Case Employing CNN Depth Maps. ECCV Workshops (3) 2018: 281-297 - [c12]Nolang Fanani, Matthias Ochs, Alina Sturck, Rudolf Mester:
CNN-based multi-frame IMO detection from a monocular camera. Intelligent Vehicles Symposium 2018: 957-964 - [c11]Matthias Ochs, Henry Bradler, Rudolf Mester:
Spatio-Temporal Depth Interpolation (STDI). Intelligent Vehicles Symposium 2018: 1742-1748 - [c10]Roman Grothausmann, Christian Mühlfeld, Matthias Ochs, Lars Knudsen:
Shape and Facet Analyses of Alveolar Airspaces of the Lung. ShapeMI@MICCAI 2018: 49-64 - 2017
- [c9]Matthias Ochs, Henry Bradler, Rudolf Mester:
Learning rank reduced interpolation with principal component analysis. Intelligent Vehicles Symposium 2017: 1126-1133 - [c8]Henry Bradler, Matthias Ochs, Nolang Fanani, Rudolf Mester:
Joint Epipolar Tracking (JET): Simultaneous Optimization of Epipolar Geometry and Feature Correspondences. WACV 2017: 445-453 - 2016
- [c7]Jan van den Brand, Matthias Ochs, Rudolf Mester:
Instance-Level Segmentation of Vehicles by Deep Contours. ACCV Workshops (1) 2016: 477-492 - [c6]Nolang Fanani, Matthias Ochs, Henry Bradler, Rudolf Mester:
Keypoint trajectory estimation using propagation based tracking. Intelligent Vehicles Symposium 2016: 933-939 - [c5]Daniel H. Biedermann, Matthias Ochs, Rudolf Mester:
Evaluating visual ADAS components on the COnGRATS dataset. Intelligent Vehicles Symposium 2016: 986-991 - 2015
- [c4]Daniel H. Biedermann, Matthias Ochs, Rudolf Mester:
COnGRATS: Realistic simulation of traffic sequences for autonomous driving. IVCNZ 2015: 1-6 - [c3]Marc Barnada, Christian Conrad, Henry Bradler, Matthias Ochs, Rudolf Mester:
Estimation of automotive pitch, yaw, and roll using enhanced phase correlation on multiple far-field windows. Intelligent Vehicles Symposium 2015: 481-486 - [c2]Matthias Ochs, Henry Bradler, Rudolf Mester:
Enhanced Phase Correlation for Reliable and Robust Estimation of Multiple Motion Distributions. PSIVT 2015: 368-379 - 2014
- [c1]Matthias Ochs, Alexander Schick, Rainer Stiefelhagen:
Erfassung der Oberkörperpose im Kraftfahrzeug. MuC (Workshopband) 2014: 211-219
Informal and Other Publications
- 2020
- [i5]Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger:
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks. CoRR abs/2008.10471 (2020) - 2019
- [i4]Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network. CoRR abs/1904.08105 (2019) - [i3]Matthias Ochs, Adrian Kretz, Rudolf Mester:
SDNet: Semantically Guided Depth Estimation Network. CoRR abs/1907.10659 (2019) - 2017
- [i2]Matthias Ochs, Henry Bradler, Rudolf Mester:
Learning Rank Reduced Interpolation with Principal Component Analysis. CoRR abs/1703.05061 (2017) - [i1]Henry Bradler, Matthias Ochs, Rudolf Mester:
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences. CoRR abs/1703.05065 (2017)
Coauthor Index
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