Matthias Ochs

27 papers A 2B 6C 1Misc 1Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2024 — conf
A Circuit Concept for Energy-Efficient Spiking Neural Network Systems with a FOM of 86.9fJ/SOP.
BioCAS
Matthias Ochs, Markus Dietl, Ralf Brederlow
2024 — conf
A Microcontroller Operating Strategy for (Micro-)Pitting and Temperature Increase Detection in Sensor-Integrating Gears Evaluated with Pre-recorded Sensor Data.
IEEM
Bernhard Rupprecht, Birgit Vogel-Heuser, Dominik Hujo, Alejandra Vicaria, Erich Knoll, Karsten Stahl, Matthias Ochs, Ralf Brederlow
2024 — conf
An Analog and Time-Discrete Neuron with Charge-Injection for Use in Ultra-Low Power Spiking Neural Networks.
PRIME
Matthias Ochs, Markus Dietl, Ralf Brederlow
2020 A conf
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks.
IROS
Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger
2020 J jnl
Learning and Sequencing of Object-Centric Manipulation Skills for Industrial Tasks.
CoRR
Leonel Dario Rozo, Meng Guo, Andras G. Kupcsik, Marco Todescato, Philipp Schillinger, Markus Giftthaler, Matthias Ochs, Markus Spies, Nicolai Waniek, Patrick Kesper, Mathias Bürger
2019 — conf
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network.
CVPR Workshops
Robin Kreuzig, Matthias Ochs, Rudolf Mester
2019 — conf
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network.
CVPR Workshops
Robin Kreuzig, Matthias Ochs, Rudolf Mester
2019 J jnl
DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network.
CoRR
Robin Kreuzig, Matthias Ochs, Rudolf Mester
2019 — conf
SDNet: Semantically Guided Depth Estimation Network.
GCPR
Matthias Ochs, Adrian Kretz, Rudolf Mester
2019 J jnl
SDNet: Semantically Guided Depth Estimation Network.
CoRR
Matthias Ochs, Adrian Kretz, Rudolf Mester
2018 B conf
CNN-based multi-frame IMO detection from a monocular camera.
Intelligent Vehicles Symposium
Nolang Fanani, Matthias Ochs, Alina Sturck, Rudolf Mester
2018 — conf
Detecting Parallel-Moving Objects in the Monocular Case Employing CNN Depth Maps.
ECCV Workshops (3)
Nolang Fanani, Matthias Ochs, Rudolf Mester
2018 — conf
Shape and Facet Analyses of Alveolar Airspaces of the Lung.
ShapeMI@MICCAI
Roman Grothausmann, Christian Mühlfeld, Matthias Ochs, Lars Knudsen
2018 B conf
Spatio-Temporal Depth Interpolation (STDI).
Intelligent Vehicles Symposium
Matthias Ochs, Henry Bradler, Rudolf Mester
2017 A conf
Joint Epipolar Tracking (JET): Simultaneous Optimization of Epipolar Geometry and Feature Correspondences.
WACV
Henry Bradler, Matthias Ochs, Nolang Fanani, Rudolf Mester
2017 J jnl
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences.
CoRR
Henry Bradler, Matthias Ochs, Rudolf Mester
2017 J jnl
Learning Rank Reduced Interpolation with Principal Component Analysis.
CoRR
Matthias Ochs, Henry Bradler, Rudolf Mester
2017 B conf
Learning rank reduced interpolation with principal component analysis.
Intelligent Vehicles Symposium
Matthias Ochs, Henry Bradler, Rudolf Mester
2017 J jnl
Predictive monocular odometry (PMO): What is possible without RANSAC and multiframe bundle adjustment?
Image Vis. Comput.
Nolang Fanani, Alina Sturck, Matthias Ochs, Henry Bradler, Rudolf Mester
2016 B conf
Evaluating visual ADAS components on the COnGRATS dataset.
Intelligent Vehicles Symposium
Daniel H. Biedermann, Matthias Ochs, Rudolf Mester
2016 — conf
Instance-Level Segmentation of Vehicles by Deep Contours.
ACCV Workshops (1)
Jan van den Brand, Matthias Ochs, Rudolf Mester
2016 B conf
Keypoint trajectory estimation using propagation based tracking.
Intelligent Vehicles Symposium
Nolang Fanani, Matthias Ochs, Henry Bradler, Rudolf Mester
2015 Misc conf
COnGRATS: Realistic simulation of traffic sequences for autonomous driving.
IVCNZ
Daniel H. Biedermann, Matthias Ochs, Rudolf Mester
2015 C conf
Enhanced Phase Correlation for Reliable and Robust Estimation of Multiple Motion Distributions.
PSIVT
Matthias Ochs, Henry Bradler, Rudolf Mester
2015 B conf
Estimation of automotive pitch, yaw, and roll using enhanced phase correlation on multiple far-field windows.
Intelligent Vehicles Symposium
Marc Barnada, Christian Conrad, Henry Bradler, Matthias Ochs, Rudolf Mester
2015 J jnl
Method for 3D Airway Topology Extraction.
Comput. Math. Methods Medicine
Roman Grothausmann, Manuela Kellner, Marko Heidrich, Raoul-Amadeus Lorbeer, Tammo Ripken, Heiko Meyer, Mark P. Kuehnel, Matthias Ochs, Bodo Rosenhahn
2014 — conf
Erfassung der Oberkörperpose im Kraftfahrzeug.
MuC (Workshopband)
Matthias Ochs, Alexander Schick, Rainer Stiefelhagen