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ORCIDChristoph S. Garbe
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- affiliation: Heidelberg University, Germany
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2020 – today
- 2022
[i4]Hamza Gardi, Sebastian F. Walter, Christoph S. Garbe:
An Optimal Experimental Design Approach for Light Configurations in Photometric Stereo. CoRR abs/2204.05218 (2022)- 2021
- [j5]Patrick Fuchs, Thorben Kröger, Christoph S. Garbe:
Defect detection in CT scans of cast aluminum parts: A machine vision perspective. Neurocomputing 453: 85-96 (2021)
2010 – 2019
- 2019
- [i3]Tomasz K. Konopczynski, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser:
Reference Setup for Quantitative Comparison of Segmentation Techniques for Short Glass Fiber CT Data. CoRR abs/1901.01210 (2019) - [i2]Tomasz K. Konopczynski, Danish Rathore, Jitendra Rathore, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Simone Carmignato, Jürgen Hesser:
Fully Convolutional Deep Network Architectures for Automatic Short Glass Fiber Semantic Segmentation from CT scans. CoRR abs/1901.01211 (2019) - [i1]Tomasz K. Konopczynski, Thorben Kröger, Lei Zheng, Christoph S. Garbe, Jürgen Hesser:
Automated Multiscale 3D Feature Learning for Vessels Segmentation in Thorax CT Images. CoRR abs/1901.01562 (2019) - 2018
- [j4]Ismael Hernandez-Carrasco
, Véronique Garçon, Joël Sudre, Christoph S. Garbe, Hussein M. Yahia:
Increasing the Resolution of Ocean pCO2 Maps in the South Eastern Atlantic Ocean Merging Multifractal Satellite-Derived Ocean Variables. IEEE Trans. Geosci. Remote. Sens. 56(11): 6596-6610 (2018) - 2015
- [c32]Gerald Mwangi, Paul W. Fieguth, Christoph S. Garbe:
Probabilistic continuous edge detection using local symmetry. ICIP 2015: 2199-2203 - [c31]Gerald Mwangi, Paul W. Fieguth, Christoph S. Garbe:
Thermography spatial resolution enhancement by non-rigid registration with visible imagery. ICIP 2015: 2542-2546 - 2014
- [c30]Jens-Malte Gottfried, Rahul Nair, Stephan Meister, Christoph S. Garbe, Daniel Kondermann:
Time of flight motion compensation revisited. ICIP 2014: 5861-5865 - 2013
- [c29]Henrik Schäfer, Frank Lenzen, Christoph S. Garbe:
Depth and Intensity Based Edge Detection in Time-of-Flight Images. 3DV 2013: 111-118 - [c28]Frank Lenzen, Kwang In Kim, Henrik Schäfer, Rahul Nair, Stephan Meister, Florian Becker, Christoph S. Garbe, Christian Theobalt:
Denoising Strategies for Time-of-Flight Data. Time-of-Flight and Depth Imaging 2013: 25-45 - [c27]Rahul Nair, Kai Ruhl, Frank Lenzen, Stephan Meister, Henrik Schäfer, Christoph S. Garbe, Martin Eisemann, Marcus A. Magnor, Daniel Kondermann:
A Survey on Time-of-Flight Stereo Fusion. Time-of-Flight and Depth Imaging 2013: 105-127 - [c26]Fabian E. Bachl, Christoph S. Garbe, Paul W. Fieguth:
Bayesian inference on integrated continuity fluid flows and their application to dust aerosols. IGARSS 2013: 2246-2249 - 2012
- [j3]Christoph S. Garbe, Andreas Buttgereit, Sebastian Schürmann, Oliver Friedrich:
Automated Multiscale Morphometry of Muscle Disease From Second Harmonic Generation Microscopy Using Tensor-Based Image Processing. IEEE Trans. Biomed. Eng. 59(1): 39-44 (2012) - [c25]Rahul Nair, Frank Lenzen, Stephan Meister, Henrik Schäfer, Christoph S. Garbe, Daniel Kondermann:
High Accuracy TOF and Stereo Sensor Fusion at Interactive Rates. ECCV Workshops (2) 2012: 1-11 - [c24]Fabian E. Bachl, Christoph S. Garbe, Paul W. Fieguth:
A Bayesian approach to spaceborn hyperspectral optical flow estimation on dust aerosols. IGARSS 2012: 256-259 - [c23]Chenyi Liu, Paul W. Fieguth, Christoph S. Garbe:
Background subtraction and dust storm detection. IGARSS 2012: 2179-2181 - [c22]Christoph S. Garbe, Jevgeni Vihharev:
Modeling of atmospheric transport of chemical species in the polar regions. IGARSS 2012: 6047-6050 - [c21]Christoph S. Garbe, André Butz, Isabelle Dadou, Boris Dewitte, Véronique Garçon, Serena Illig, Aurélien Paulmier, Joël Sudre, Hussein M. Yahia:
Climatically-active gases in the Eastern Boundary Upwelling and Oxygen Minimum Zone (OMZ) systems. IGARSS 2012: 6150-6153 - 2011
- [c20]Frank Lenzen, Henrik Schäfer, Christoph S. Garbe:
Denoising Time-Of-Flight Data with Adaptive Total Variation. ISVC (1) 2011: 337-346 - [c19]Jens-Malte Gottfried, Janis Fehr, Christoph S. Garbe:
Computing Range Flow from Multi-modal Kinect Data. ISVC (1) 2011: 758-767 - 2010
- [c18]Claudia Nieuwenhuis, Daniel Kondermann, Christoph S. Garbe:
Complex Motion Models for Simple Optical Flow Estimation. DAGM-Symposium 2010: 141-150 - [c17]Asif Ekbal, Sriparna Saha, Christoph S. Garbe:
Named Entity Recognition: A Genetic Approach for Vote Based Classifier Ensemble Selection. IC-AI 2010: 105-111 - [c16]Asif Ekbal, Sriparna Saha, Christoph S. Garbe:
Feature Selection Using Multiobjective Optimization for Named Entity Recognition. ICPR 2010: 1937-1940 - [c15]Asif Ekbal, Sriparna Saha, Christoph S. Garbe:
Multiobjective Optimization Approach for Named Entity Recognition. PRICAI 2010: 52-63
2000 – 2009
- 2009
- [c14]Benjamin Berkels, Claudia Kondermann, Christoph S. Garbe, Martin Rumpf:
Reconstructing Optical Flow Fields by Motion Inpainting. EMMCVPR 2009: 388-400 - 2008
- [c13]Björn Andres, Claudia Kondermann, Daniel Kondermann, Ullrich Köthe, Fred A. Hamprecht, Christoph S. Garbe:
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation. CVPR 2008 - [c12]Claudia Kondermann, Daniel Kondermann, Christoph S. Garbe:
Postprocessing of Optical Flows Via Surface Measures and Motion Inpainting. DAGM-Symposium 2008: 355-364 - [c11]Claudia Kondermann, Rudolf Mester, Christoph S. Garbe:
A Statistical Confidence Measure for Optical Flows. ECCV (3) 2008: 290-301 - 2007
- [j2]Tobias Preußer, Marc Droske, Christoph S. Garbe, Alexandru C. Telea, Martin Rumpf:
A Phase Field Method for Joint Denoising, Edge Detection, and Motion Estimation in Image Sequence Processing. SIAM J. Appl. Math. 68(3): 599-618 (2007) - [c10]Björn Andres, Fred A. Hamprecht, Christoph S. Garbe:
Selection of Local Optical Flow Models by Means of Residual Analysis. DAGM-Symposium 2007: 72-81 - [c9]Christoph S. Garbe:
Fluid Flow Estimation Through Integration of Physical Flow Configurations. DAGM-Symposium 2007: 92-101 - [c8]Claudia Kondermann, Daniel Kondermann, Bernd Jähne, Christoph S. Garbe:
An Adaptive Confidence Measure for Optical Flows Based on Linear Subspace Projections. DAGM-Symposium 2007: 132-141 - 2006
- [c7]Alexandru C. Telea, Tobias Preußer, Christoph S. Garbe, Marc Droske, Martin Rumpf:
A Variational Approach to Joint Denoising, Edge Detection and Motion Estimation. DAGM-Symposium 2006: 525-535 - 2004
- [c6]Robert Strzodka, Christoph S. Garbe:
Real-Time Motion Estimation and Visualization on Graphics Cards. IEEE Visualization 2004: 545-552 - 2003
- [j1]Christoph S. Garbe, Hagen Spies, Bernd Jähne:
Estimation of Surface Flow and Net Heat Flux from Infrared Image Sequences. J. Math. Imaging Vis. 19(3): 159-174 (2003) - [c5]Bernd Jähne, Christoph S. Garbe:
Towards objective performance analysis for estimation of complex motion: analytic motion modeling, filter optimization, and test sequences. ICIP (3) 2003: 73-76 - 2002
- [c4]Hagen Spies, Christoph S. Garbe:
Dense Parameter Fields from Total Least Squares. DAGM-Symposium 2002: 379-386 - [c3]Christoph S. Garbe, Hagen Spies, Bernd Jähne:
Mixed OLS-TLS for the Estimation of Dynamic Processes with a Linear Source Term. DAGM-Symposium 2002: 463-471 - 2001
- [c2]Christoph S. Garbe, Bernd Jähne:
Reliable Estimates of the Sea Surface Heat Flux from Image Sequences. DAGM-Symposium 2001: 194-201
1990 – 1999
- 1999
- [c1]Horst W. Haussecker, Christoph S. Garbe, Hagen Spies, Bernd Jähne:
A Total Least Squares Framework for Low-Level Analysis of Dynamic Scenes and Processes. DAGM-Symposium 1999: 240-249
Coauthor Index
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