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ORCIDRudolf Mester
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- affiliation: Goethe University Frankfurt am Main, Germany
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2020 – today
- 2024
[c110]Andreas Langeland Teigen, Yeonsoo Park, Annette Stahl, Rudolf Mester:
RGB-D Mapping and Tracking in a Plenoxel Radiance Field. WACV 2024: 3330-3339- 2023
- [c109]Henrik D. Flemmen, Rudolf Mester, Annette Stahl, Torleiv H. Bryne, Edmund Førland Brekke:
Maritime radar odometry inspired by visual odometry. FUSION 2023: 1-8 - [c108]Michael Ernesto López, Edmund Brekke, Rudolf Mester, Annette Stahl:
Multiscan Shape Estimation for Extended Object Tracking. FUSION 2023: 1-8 - [c107]Håkon Hukkelås, Morten Smebye, Rudolf Mester, Frank Lindseth:
Realistic Full-Body Anonymization with Surface-Guided GANs. WACV 2023: 1430-1440 - [i19]Andreas Langeland Teigen, Yeonsoo Park, Annette Stahl, Rudolf Mester:
RGB-D Mapping and Tracking in a Plenoxel Radiance Field. CoRR abs/2307.03404 (2023) - [i18]Andreas Langeland Teigen, Mauhing Yip, Victor P. Hamran, Vegard Skui, Annette Stahl, Rudolf Mester:
Removing Adverse Volumetric Effects From Trained Neural Radiance Fields. CoRR abs/2311.10523 (2023) - 2022
- [j7]Elnaz Namazi, Rudolf Mester, Chaoru Lu, Jingyue Li:
Geolocation estimation of target vehicles using image processing and geometric computation. Neurocomputing 499: 35-46 (2022) - [c106]Lars Martin Hodne, Eirik Leikvoll, Mauhing Yip, Andreas Langeland Teigen, Annette Stahl, Rudolf Mester:
Detecting and Suppressing Marine Snow for Underwater Visual SLAM. CVPR Workshops 2022: 5097-5105 - [c105]Jan Fabian Schmid, Stephan F. Simon, Raaghav Radhakrishnan, Simone Frintrop, Rudolf Mester:
HD Ground - A Database for Ground Texture Based Localization. ICRA 2022: 7628-7634 - [i17]Håkon Hukkelås, Morten Smebye, Rudolf Mester, Frank Lindseth:
Realistic Full-Body Anonymization with Surface-Guided GANs. CoRR abs/2201.02193 (2022) - [i16]Elnaz Namazi, Rudolf Mester, Chaoru Lu, Jingyue Li:
Geolocation estimation of target vehicles using image processing and geometric computation. CoRR abs/2203.10938 (2022) - 2021
- [c104]Peder Georg Olofsson Zwilgmeyer, Mauhing Yip, Andreas Langeland Teigen, Rudolf Mester, Annette Stahl:
The VAROS Synthetic Underwater Data Set: Towards realistic multi-sensor underwater data with ground truth. ICCVW 2021: 3715-3723 - [c103]Henry Bradler, Adrian Kretz, Rudolf Mester:
Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections. IV 2021: 1198-1205 - [i15]Henry Bradler, Adrian Kretz, Rudolf Mester:
Urban Traffic Surveillance (UTS): A fully probabilistic 3D tracking approach based on 2D detections. CoRR abs/2105.14993 (2021) - [i14]Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Model-Based Parameter Optimization for Ground Texture Based Localization Methods. CoRR abs/2109.01559 (2021) - 2020
- [c102]Håkon Hukkelås
, Frank Lindseth, Rudolf Mester:
Image Inpainting with Learnable Feature Imputation. GCPR 2020: 388-403 - [c101]Elnaz Namazi, Jingyue Li, Rudolf Mester, Chaoru Lu:
Identifying and Counting Vehicles in Multiple Lanes by Using a Low-Cost Vehicle-Mounted Sensor for Intelligent Traffic Management Systems. HAIS 2020: 598-611 - [c100]Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Ground Texture Based Localization Using Compact Binary Descriptors. ICRA 2020: 1315-1321 - [c99]Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Ground Texture Based Localization: Do We Need to Detect Keypoints? IROS 2020: 4575-4580 - [c98]Adrian Kretz, Rudolf Mester:
A Shared Representation for Object Tracking and Classification using Siamese Networks. SSIAI 2020: 54-57 - [i13]Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Ground Texture Based Localization Using Compact Binary Descriptors. CoRR abs/2002.11061 (2020) - [i12]Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Features for Ground Texture Based Localization - A Survey. CoRR abs/2002.11948 (2020) - [i11]Håkon Hukkelås, Frank Lindseth, Rudolf Mester:
Image Inpainting with Learnable Feature Imputation. CoRR abs/2011.01077 (2020)
2010 – 2019
- 2019
- [c97]Patrick Klose, Rudolf Mester:
Simulated autonomous driving in a realistic driving environment using deep reinforcement learning and a deterministic finite state machine. APPIS 2019: 30:1-30:6 - [c96]Jan Fabian Schmid, Stephan F. Simon, Rudolf Mester:
Features for Ground Texture Based Localization - A Survey. BMVC 2019: 134 - [c95]Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network. CVPR Workshops 2019: 69-77 - [c94]Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance From Monocular Images Using a Recurrent Convolutional Neural Network. CVPR Workshops 2019: 1258-1266 - [c93]Matthias Ochs, Adrian Kretz, Rudolf Mester:
SDNet: Semantically Guided Depth Estimation Network. GCPR 2019: 288-302 - [c92]Ricardo M. Sánchez, Rudolf Mester, Mikhail Kudryashev:
Fast Alignment of Limited Angle Tomograms by projected Cross Correlation. EUSIPCO 2019: 1-5 - [c91]Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes. ICCV 2019: 2780-2790 - [c90]Håkon Hukkelås, Rudolf Mester, Frank Lindseth:
DeepPrivacy: A Generative Adversarial Network for Face Anonymization. ISVC (1) 2019: 565-578 - [c89]Ricardo M. Sánchez, Rudolf Mester, Mikhail Kudryashev:
Fast Cross Correlation for Limited Angle Tomographic Data. SCIA 2019: 415-426 - [i10]Robin Kreuzig, Matthias Ochs, Rudolf Mester:
DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network. CoRR abs/1904.08105 (2019) - [i9]Matthias Ochs, Adrian Kretz, Rudolf Mester:
SDNet: Semantically Guided Depth Estimation Network. CoRR abs/1907.10659 (2019) - [i8]Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-Stixels: Monocular depth reconstruction of dynamic street scenes. CoRR abs/1908.02635 (2019) - [i7]Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-SF: Multi-View Geometry Meets Single-View Depth for Monocular Scene Flow Estimation of Dynamic Traffic Scenes. CoRR abs/1908.06316 (2019) - [i6]Håkon Hukkelås, Rudolf Mester, Frank Lindseth:
DeepPrivacy: A Generative Adversarial Network for Face Anonymization. CoRR abs/1909.04538 (2019) - 2018
- [c88]Patrick Klose, Rudolf Mester:
Simulated Autonomous Driving on Realistic Road Networks Using Deep Reinforcement Learning. APPIS 2018: 169-180 - [c87]Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Exploiting Single Image Depth Prediction for Mono-stixel Estimation. ECCV Workshops (1) 2018: 240-255 - [c86]Nolang Fanani, Matthias Ochs, Rudolf Mester:
Detecting Parallel-Moving Objects in the Monocular Case Employing CNN Depth Maps. ECCV Workshops (3) 2018: 281-297 - [c85]Fabian Brickwedde, Steffen Abraham, Rudolf Mester:
Mono-Stixels: Monocular Depth Reconstruction of Dynamic Street Scenes. ICRA 2018: 1-7 - [c84]Nolang Fanani, Matthias Ochs, Alina Sturck, Rudolf Mester:
CNN-based multi-frame IMO detection from a monocular camera. Intelligent Vehicles Symposium 2018: 957-964 - [c83]Matthias Ochs, Henry Bradler, Rudolf Mester:
Spatio-Temporal Depth Interpolation (STDI). Intelligent Vehicles Symposium 2018: 1742-1748 - [c82]Nolang Fanani, Rudolf Mester:
The precision of triangulation in monocular visual odometry. SSIAI 2018: 1-4 - [i5]Patrick Klose, Rudolf Mester:
Simulated Autonomous Driving in a Realistic Driving Environment using Deep Reinforcement Learning and a Deterministic Finite State Machine. CoRR abs/1811.07868 (2018) - 2017
- [j6]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) - [c81]Christian Conrad, Rudolf Mester:
Learning Motion from Temporal Coincidences. ICIAP Workshops 2017: 15-25 - [c80]Matthias Ochs, Henry Bradler, Rudolf Mester:
Learning rank reduced interpolation with principal component analysis. Intelligent Vehicles Symposium 2017: 1126-1133 - [c79]Nolang Fanani, Alina Sturck, Marc Barnada, Rudolf Mester:
Multimodal scale estimation for monocular visual odometry. Intelligent Vehicles Symposium 2017: 1714-1721 - [c78]Henry Bradler, Matthias Ochs, Nolang Fanani, Rudolf Mester:
Joint Epipolar Tracking (JET): Simultaneous Optimization of Epipolar Geometry and Feature Correspondences. WACV 2017: 445-453 - [i4]Matthias Ochs, Henry Bradler, Rudolf Mester:
Learning Rank Reduced Interpolation with Principal Component Analysis. CoRR abs/1703.05061 (2017) - [i3]Henry Bradler, Matthias Ochs, Rudolf Mester:
Joint Epipolar Tracking (JET): Simultaneous optimization of epipolar geometry and feature correspondences. CoRR abs/1703.05065 (2017) - [i2]Patrick Klose, Rudolf Mester:
Simulated Autonomous Driving on Realistic Road Networks using Deep Reinforcement Learning. CoRR abs/1712.04363 (2017) - 2016
- [c77]Jan van den Brand, Matthias Ochs, Rudolf Mester:
Instance-Level Segmentation of Vehicles by Deep Contours. ACCV Workshops (1) 2016: 477-492 - [c76]Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester:
Lost and Found: detecting small road hazards for self-driving vehicles. IROS 2016: 1099-1106 - [c75]Nolang Fanani, Matthias Ochs, Henry Bradler, Rudolf Mester:
Keypoint trajectory estimation using propagation based tracking. Intelligent Vehicles Symposium 2016: 933-939 - [c74]Daniel H. Biedermann, Matthias Ochs, Rudolf Mester:
Evaluating visual ADAS components on the COnGRATS dataset. Intelligent Vehicles Symposium 2016: 986-991 - [c73]Nolang Fanani, Rudolf Mester:
Propagation based tracking with uncertainty measurement in automotive applications. SSIAI 2016: 117-120 - [c72]Christian Conrad, Rudolf Mester:
Learning rank reduced mappings using canonical correlation analysis. SSP 2016: 1-5 - [i1]Peter Pinggera, Sebastian Ramos, Stefan Gehrig, Uwe Franke, Carsten Rother, Rudolf Mester:
Lost and Found: Detecting Small Road Hazards for Self-Driving Vehicles. CoRR abs/1609.04653 (2016) - 2015
- [c71]Christian Conrad, Rudolf Mester:
Learning relative photometric differences of pairs of cameras. AVSS 2015: 1-6 - [c70]Henry Bradler, Birthe Anne Wiegand, Rudolf Mester:
The Statistics of Driving Sequences - And What We Can Learn from Them. ICCV Workshops 2015: 106-114 - [c69]Peter Pinggera, Uwe Franke, Rudolf Mester:
High-performance long range obstacle detection using stereo vision. IROS 2015: 1308-1313 - [c68]Nolang Fanani, Marc Barnada, Rudolf Mester:
Motion Priors Estimation for Robust Matching Initialization in Automotive Applications. ISVC (1) 2015: 115-126 - [c67]Daniel H. Biedermann, Matthias Ochs, Rudolf Mester:
COnGRATS: Realistic simulation of traffic sequences for autonomous driving. IVCNZ 2015: 1-6 - [c66]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 - [c65]Mikael Persson, Tommaso Piccini, Michael Felsberg, Rudolf Mester:
Robust stereo visual odometry from monocular techniques. Intelligent Vehicles Symposium 2015: 686-691 - [c64]Matthias Ochs, Henry Bradler, Rudolf Mester:
Enhanced Phase Correlation for Reliable and Robust Estimation of Multiple Motion Distributions. PSIVT 2015: 368-379 - 2014
- [c63]Peter Pinggera, David Pfeiffer, Uwe Franke, Rudolf Mester:
Know Your Limits: Accuracy of Long Range Stereoscopic Object Measurements in Practice. ECCV (2) 2014: 96-111 - [c62]Tommaso Piccini, Mikael Persson, Klas Nordberg, Michael Felsberg, Rudolf Mester:
Good Edgels to Track: Beating the Aperture Problem with Epipolar Geometry. ECCV Workshops (2) 2014: 652-664 - [c61]Rudolf Mester, Christian Conrad:
When Patches Match - A Statistical View on Matching under Illumination Variation. ICPR 2014: 4364-4369 - [c60]Friedrich Erbs, Andreas Witte, Timo Scharwächter, Rudolf Mester, Uwe Franke:
Spider-based Stixel object segmentation. Intelligent Vehicles Symposium 2014: 906-911 - [c59]Rudolf Mester:
Motion estimation revisited: an estimation-theoretic approach. SSIAI 2014: 113-116 - [c58]Patricia Márquez-Valle, Debora Gil, Rudolf Mester, Aura Hernández-Sabaté:
Local Analysis of Confidence Measures for Optical Flow Quality Evaluation. VISAPP (3) 2014: 450-457 - 2013
- [c57]Jens Eisenbach, Matthias Mertz, Christian Conrad, Rudolf Mester:
Reducing camera vibrations and photometric changes in surveillance video. AVSS 2013: 69-74 - [c56]Philipp Koschorrek, Tommaso Piccini, Per Oberg, Michael Felsberg, Lars Nielsen, Rudolf Mester:
A Multi-sensor Traffic Scene Dataset with Omnidirectional Video. CVPR Workshops 2013: 727-734 - [c55]Jens Eisenbach, Christian Conrad, Rudolf Mester:
A Temporal Scheme for Fast Learning of Image-Patch Correspondences in Realistic Multi-camera Setups. CVPR Workshops 2013: 808-815 - [c54]Vasileios Zografos, Liam F. Ellis, Rudolf Mester:
Discriminative Subspace Clustering. CVPR 2013: 2107-2114 - [c53]Peter Pinggera, Uwe Franke, Rudolf Mester:
Highly Accurate Depth Estimation for Objects at Large Distances. GCPR 2013: 21-30 - [c52]Christian Conrad, Matthias Mertz, Rudolf Mester:
Contour-Relaxed Superpixels. EMMCVPR 2013: 280-293 - [c51]Christian Conrad, Rudolf Mester:
Learning Multi-view Correspondences via Subspace-Based Temporal Coincidences. SCIA 2013: 456-467 - 2012
- [c50]Christian Conrad, Rudolf Mester:
Learning geometrical transforms between multi camera views using Canonical Correlation Analysis. BMVC 2012: 1-12 - [c49]David Dederscheck, Thomas Müller, Rudolf Mester:
Illumination invariance for driving scene optical flow using comparagram preselection. Intelligent Vehicles Symposium 2012: 742-747 - [c48]Alvaro Guevara, Christian Conrad, Rudolf Mester:
Curvature oriented clustering of sparse motion vector fields. SSIAI 2012: 161-164 - [c47]Rudolf Mester:
A Bayesian view on matching and motion estimation. SSIAI 2012: 197-200 - 2011
- [c46]Christian Conrad, Alvaro Guevara, Rudolf Mester:
Learning multi-view correspondences from temporal coincidences. CVPR Workshops 2011: 9-16 - [c45]Thomas Müller, Clemens Rabe, Jens Rannacher, Uwe Franke, Rudolf Mester:
Illumination-Robust Dense Optical Flow Using Census Signatures. DAGM-Symposium 2011: 236-245 - [c44]Rudolf Mester:
Recursive Live Dense Reconstruction: Some comments on established and imaginable new approaches. ICCV Workshops 2011: 712-714 - [c43]Alvaro Guevara, Christian Conrad, Rudolf Mester:
Boosting segmentation results by contour relaxation. ICIP 2011: 1405-1408 - [c42]Alvaro Guevara, Rudolf Mester:
Wiener crosses borders: interpolation based on second order models. Image Processing: Algorithms and Systems 2011: 78700L - [c41]Rudolf Mester, Christian Conrad, Alvaro Guevara:
Multichannel Segmentation Using Contour Relaxation: Fast Super-Pixels and Temporal Propagation. SCIA 2011: 250-261 - [c40]Daniel Kondermann, Steffen Abraham, Gabriel J. Brostow, Wolfgang Förstner, Stefan Gehrig, Atsushi Imiya, Bernd Jähne, Felix Klose, Marcus A. Magnor, Helmut Mayer, Rudolf Mester, Tomás Pajdla, Ralf Reulke, Henning Zimmer:
On Performance Analysis of Optical Flow Algorithms. Theoretical Foundations of Computer Vision 2011: 329-355 - [e3]Rudolf Mester, Michael Felsberg:
Pattern Recognition - 33rd DAGM Symposium, Frankfurt/Main, Germany, August 31 - September 2, 2011. Proceedings. Lecture Notes in Computer Science 6835, Springer 2011, ISBN 978-3-642-23122-3 [contents] - 2010
- [c39]David Dederscheck, Martin Zahn, Holger Friedrich, Rudolf Mester:
Slicing the View: Occlusion-Aware View-Based Robot Navigation. DAGM-Symposium 2010: 111-120 - [c38]Alvaro Guevara, Rudolf Mester:
Signal reconstruction from noisy, aliased, and nonideal samples: What linear MMSE approaches can achieve. EUSIPCO 2010: 1291-1295 - [c37]David Dederscheck, Martin Zahn, Holger Friedrich, Rudolf Mester:
Optical Rails: View-Based Track Following with Hemispherical Environment Model and Orientation View Descriptors. ICPR 2010: 2752-2755
2000 – 2009
- 2009
- [c36]David Dederscheck, Holger Friedrich, Christine Lenhart, Martin Zahn, Rudolf Mester:
'Featuring' Optical Rails: View-based robot guidance using orientation features on the sphere. ICCV Workshops 2009: 2156-2163 - 2008
- [c35]Holger Friedrich, David Dederscheck, Eduard Rosert, Rudolf Mester:
Optical Rails. DAGM-Symposium 2008: 345-354 - [c34]Kai Krajsek, Rudolf Mester, Hanno Scharr:
Statistically Optimal Averaging for Image Restoration and Optical Flow Estimation. DAGM-Symposium 2008: 466-475 - [c33]Claudia Kondermann, Rudolf Mester, Christoph S. Garbe:
A Statistical Confidence Measure for Optical Flows. ECCV (3) 2008: 290-301 - [c32]Holger Friedrich, David Dederscheck, Martin Mutz, Rudolf Mester:
View-Based Robot Localization Using Illumination-Invariant Spherical Harmonics Descriptors. VISAPP (2) 2008: 543-550 - 2007
- [c31]Holger Friedrich, David Dederscheck, Kai Krajsek, Rudolf Mester:
View-Based Robot Localization Using Spherical Harmonics: Concept and First Experimental Results. DAGM-Symposium 2007: 21-31 - [c30]Kai Krajsek, Rudolf Mester:
Bayesian Model Selection for Optical Flow Estimation. DAGM-Symposium 2007: 142-151 - [c29]Jakub K. Kominiarczuk, Kai Krajsek, Rudolf Mester:
Highly Accurate Orientation Estimation using Steerable Filters. ICIP (5) 2007: 277-280 - 2006
- [c28]Kai Krajsek, Rudolf Mester:
The Edge Preserving Wiener Filter for Scalar and Tensor Valued Images. DAGM-Symposium 2006: 91-100 - [c27]Kai Krajsek, Rudolf Mester:
A Maximum Likelihood Estimator for Choosing the Regularization Parameters in Global Optical Flow Methods. ICIP 2006: 1081-1084 - [c26]Kai Krajsek, Rudolf Mester:
An unified theory for steerable and quadrature filters. VISAPP (1) 2006: 48-55 - [c25]Kai Krajsek, Rudolf Mester:
A Unified Theory for Steerable and Quadrature Filters. VISIGRAPP (Selected Papers) 2006: 201-214 - [e2]Bernd Jähne, Rudolf Mester, Erhardt Barth, Hanno Scharr:
Complex Motion, First International Workshop, IWCM 2004, Günzburg, Germany, October 12-14, 2004. Revised Papers. Lecture Notes in Computer Science 3417, Springer 2006, ISBN 978-3-540-69864-7 [contents] - 2005
- [c24]Matthias Mühlich, Rudolf Mester:
A Fast Algorithm for Statistically Optimized Orientation Estimation. DAGM-Symposium 2005: 238-245 - [c23]Kai Krajsek, Rudolf Mester:
Signal and Noise Adapted Filters for Differential Motion Estimation. DAGM-Symposium 2005: 476-484 - [c22]Matthias Mühlich, Rudolf Mester:
Optimal Estimation of Homogeneous Vectors. SCIA 2005: 322-332 - 2004
- [c21]Matthias Mühlich, Rudolf Mester:
Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis. ECCV Workshop SMVP 2004: 38-49 - [c20]Matthias Mühlich, Rudolf Mester:
A statistical extension of normalized convolution and its usage for image interpolation and filtering. EUSIPCO 2004: 489-492 - [c19]Kai Krajsek, Rudolf Mester:
Wiener-Optimized Discrete Filters for Differential Motion Estimation. IWCM 2004: 30-41 - [e1]Dorin Comaniciu, Ken-ichi Kanatani, Rudolf Mester, David Suter:
Statistical Methods in Video Processing, ECCV 2004 Workshop SMVP 2004, Prague, Czech Republic, May 16, 2004, Revised Selected Papers. Lecture Notes in Computer Science 3247, Springer 2004, ISBN 3-540-23989-8 [contents] - 2003
- [c18]