2020
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
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Total Deep Variation for Linear Inverse Problems
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Shared Prior Learning of Energy-Based Models for Image Reconstruction
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Total Deep Variation: A Stable Regularizer for Inverse Problems
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Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration
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Improving Optical Flow on a Pyramid Level
Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings
770-786
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BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
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Total Deep Variation for SparseCT Reconstruction
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Learning Consistent Discretizations of the Total Variation
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PIEMAP: Personalized Inverse Eikonal Model from cardiac Electro-Anatomical Maps
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A convex variational model for learning convolutional image atoms from incomplete data
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Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science
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Convex-Concave backtracking for inertial Bregman proximal gradient algorithms in nonconvex optimization
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An inverse Eikonal method for identifying ventricular activation sequences from epicardial activation maps
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Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction
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2019
Time Discrete Geodesics in Deep Feature Spaces for Image Morphing
Scale Space and Variational Methods in Computer Vision
171-182
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Combining Variational Optimization and Deep Learning for efficient ASL image quality enhancement
Magnetic Resonance Materials in Physics, Biology and Medicine
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Adaptive FISTA for nonconvex optimization
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3D Fluid Flow Estimation with Integrated Particle Reconstruction
Pattern Recognition - 40th German Conference, GCPR 2018, Proceedings
315-332
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Inverse GANs for accelerated MRI reconstruction
Wavelets and Sparsity XVIII
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Learned Collaborative Stereo Refinement
German Conference on Pattern Recognition
3-17
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On the estimation of the Wasserstein distance in generative models
German Conference on Pattern Recognition
156-170
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Joint Multi-anatomy Training of a Variational Network for Reconstruction of Accelerated Magnetic Resonance Image Acquisitions
Machine Learning for Medical Image Reconstruction
71-79
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Deep Learning Methods for Parallel Magnetic Resonance Image Reconstruction
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Convex-Concave Backtracking for Inertial Bregman Proximal Gradient Algorithms in Non-Convex Optimization
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Fast Decomposable Submodular Function Minimization using Constrained Total Variation
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Image Morphing in Deep Feature Spaces: Theory and Applications
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Determination of the moisture change behavior of cross-laminated timber using an optical flow based computer vision technique
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Joint Reconstruction and Classification of Tumor Cells and Cell Interactions in Melanoma Tissue Sections with Synthesized Training Data
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Total roto-translational variation
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2018
Robust Deformation Estimation in Wood-Composite Materials using Variational Optical Flow
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Learning Energy Based Inpainting for Optical Flow
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Self-Supervised Learning for Stereo Reconstruction on Aerial Images
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A First-Order Primal-Dual Algorithm with Linesearch
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A Review of Depth and Normal Fusion Algorithms
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Variational Networks for Joint Image Reconstruction and Classification of Tumor Immune Cell Interactions in Melanoma Tissue Sections
Bildverarbeitung für die Medizin 2018
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Variational Fusion of Light Field and Photometric Stereo for Precise 3D Sensing within a Multi-Line Scan Framework
Proceedings of the International Conference on Pattern Recognition (ICPR)
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Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation
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Assessment of the generalization of learned image reconstruction and the potential for transfer learning
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Variational Adversarial Networks for Accelerated MR Image Reconstruction
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Analysis of the influence of deviations between training and test data in learned image reconstruction
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Variational 3D-PIV with sparse descriptors
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Variational Deep Learning for Low-Dose Computed Tomography
2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings
6687-6691
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Assessment of the generalization of learned image reconstruction and the potential for transfer learning
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Optimizing Wavelet Bases for Sparser Representations
Energy Minimization Methods in Computer Vision and Pattern Recognition
249-262
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2017
Variational Networks: Connecting Variational Methods and Deep Learning
Pattern Recognition
281-293
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Improved Accelerated Model-based Parameter Quantification with Total-Generalized- Variation Regularization.
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End-to-End Training of Hybrid CNN-CRF Models for Semantic Segmentation using Structured Learning
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A Deep Learning Architecture for Limited-Angle Computed Tomography Reconstruction
Bildverarbeitung für die Medizin 2017
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Variational Photoacoustic Image Reconstruction with Spatially Resolved Projection Data
Proc. SPIE
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Learning a Variational Network for Reconstruction of Accelerated MRI Data
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On the Influence of Sampling Pattern Design on Deep Learning-Based MRI Reconstruction
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM)
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L2 or not L2: Impact of Loss Function Design for Deep Learning MRI Reconstruction
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM)
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Accelerated Knee Imaging Using a Deep Learning Based Reconstruction
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM)
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Trainable Nonlinear Reaction Diffusion
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Real-time panoramic tracking for event cameras
2017 IEEE International Conference on Computational Photography, ICCP 2017 - Proceedings
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Acceleration of the PDHGM on Partially Strongly Convex Functions
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Neural EPI-Volume Networks for Shape from Light Field
IEEE International Conference on Computer Vision (ICCV)
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A Primal Dual Network for Low-Level Vision Problems
German Conference on Pattern Recognition, 2017
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Eye Movements during silent and oral reading in a regular orthography
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Semantic 3D Reconstruction with Finite Element Bases
28th British Machine Vision Conference
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Trainable Regularization for Multi-frame Superresolution
Pattern Recognition
90-100
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Automated segmentation and morphometry of muscle fibers from haematoxylin-eosin-stained histological sections
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Scalable Full Flow with Learned Binary Descriptors
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2016
Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation
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End-to-End Training of Hybrid CNN-CRF Models for Stereo
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U-shaped Networks for Shape from Light Field
British Machine Vision Conference, BMVC 2016
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On the ergodic convergence rates of a first-order primaldual algorithm
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Total variation on a tree
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Inertial proximal alternating linearized minimization (iPALM) for nonconvex and nonsmooth problems
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Learning a Variational Model for Compressed Sensing MRI Reconstruction
Proceedings of the International Society of Magnetic Resonance in Medicine (ISMRM)
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Solving Dense Image Matching in Real-Time using Discrete-Continuous Optimization
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Learning Joint Demosaicing and Denoising Based on Sequential Energy Minimization
IEEE International Conference on Computational Photography (ICCP)
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Large-Scale Semantic 3D Reconstruction: an Adaptive Multi-Resolution Model for Multi-Class Volumetric Labeling
Computer Vision and Pattern Recognition
3176-3184
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Convolutional Networks for Shape from Light Field
IEEE Conference on Computer Vision and Pattern Recognition (2016)
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older
2015
Continuous Hyper-parameter Learning for Support Vector Machines
Computer Vision Winter Workshop
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Real-time flare detection in ground-based hα imaging at kanzelhhe observatory
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Vertebrae Segmentation in 3D CT Images based on a Variational FrameworkRecent Advances in Computational Methods and Clinical Applications for Spine Imaging and Clinical Applications for Spine Imaging227-233
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Efficient Minimal-Surface Regularization of Perspective Depth Maps in Variational Stereo
The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
511-520
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A convex, lower semi-continuous approximation of euler’s elastica energy
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On learning optimized reaction diffusion processes for effective image restoration
International Conference on Computer Vision
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Depth Restoration via Joint Training of a Global Regression Model and CNNs
British Machine Vision Conference
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Bilevel optimization with nonsmooth lower level problems
Proceedings of SSVM 2015
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Learning Reaction-Diffusion Models for Image Inpainting
Pattern Recognition
356-367
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Real-time flare detection in ground-based Ha imaging at Kanzelhöhe Observatory
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2014
iPiasco: Inertial Proximal Algorithm for strongly convex Optimization
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A higher-order MRF based variational model for multiplicative noise reduction
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iPiano: Inertial Proximal Algorithm for Non-Convex Optimization
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Shape from Light Field meets Robust PCA
Computer Vision -- ECCV 2014: 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part VI
751-767
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Interactive 2D/3D Image Denoising and Segmentation Tool for Medical Applications
Proceedings MICCAI Workshop Interactive Medical Image Computation (IMIC)
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Vertebrae Segmentation in 3D CT Images based on a Variational Framework
Proceedings 2nd MICCAI Workshop & Challenge Computational Methods and Clinical Applications in Spine Imaging (CSI)
200-207
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A Deep Variational Model for Image Segmentation
DAGM Symposium Mustererkennung
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Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm
Pattern Recognition: 36th German Conference, GCPR 2014, M{\"u}nster, Germany, September 2-5, 2014, Proceedings
3-14
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An iteratively reweighted Algorithm for Non-smooth Non-convex Optimization in Computer Vision
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Non-Local Total Generalized Variation for Optical Flow Estimation
European Conference on Computer Vision
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Insights into analysis operator learning: From patch-based sparse models to higher-order MRFs
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A bi-level view of inpainting - based image compression
Computer Vision Winter Workshop
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2013
Scale Space and Variational Methods in Computer Vision: 4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013. Proceedings
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Variational Shape from Light Field
Energy Minimization Methods in Computer Vision and Pattern Recognition
66-79
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Revisiting loss-specific training of filter-based MRFs for image restoration
35th German Conference, GCPR 2013, Proceedings
271-281
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Minimizing TGV-Based Variational Models with Non-convex Data Terms
4th International Conference, SSVM 2013, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013.
282-293
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2012
Dense Reconstruction On-the-Fly
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
1450-1457
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Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling
Conference on Computer Vision and Pattern Recognition
1878-1885
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Approximate Envelope Minimization for Curvature Regularity
Computer Vision -- ECCV 2012. Workshops and Demonstrations
283-292
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Pushing the Limits of Stereo Using Variational Stereo Estimation
Proceedings of IV 2012
401-407
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Joint 34th DAGM and 36th OAGM Symposium
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Efficient and Globally Optimal Multi View Dense Matching for Aerial Images
Congress / International Society for Photogrammetry and Remote Sensing
227-232
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On paramter learning in variational models
International Symposium on Mathematical Programming
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Learning l1-based analysis and synthesis sparsity priors using bi-level optimization
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2011
Optical Flow Guided TV-L1 Video Interpolation and Restoration
Proceedings of EMMCVPR 2011
273-286
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Diagonal preconditioning for first order primal-dual algorithms in convex optimization
Proceedings of ICCV 2011
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Global Relabeling for Continuous Optimization in Binary Image Segmentation
Proceedings of EMMCVPR 2011
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Online 3D reconstruciton using Convex Optimization
Proceedings of ICCV 2011
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Second Order Total Generalized Variation (TGV) for MRI
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Efficient Minimization of the Non-Local Potts Model
Proceedings of SSVM 2011
314-325
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2010
PROST: Parallel Robust Online Simple Tracking
Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR) 2010
723-730
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Optical flow based deformable volume registration using a novel second-order regularization prior
Proc. SPIE 7623, Medical Imaging 2010: Image Processing
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Aerial Computer Vision for a 3D Virtual Habitat
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A Convex Approach for Variational Super-Resolution
Proceedings of DAGM 2010
313-322
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Variational Segmentation of Elongated Volumetric Structures
IEEE Proceedings of Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2010)
3177-3184
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Total Generalized Variation (TGV) for MRI
2010 Proc. Intl. Soc. Mag. Reson. Med.
4855-4855
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Motion Estimation with Non-Local Total Variation Regularization
Proceedings of Conference on Computer Vision and Pattern Recognition (CVPR) 2010
2464-2471
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Second Order Total Generalized Variation (TGV) for MRI
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Large-Scale Semantic Classification and Ortho-Image Fusion
Proceedings of BMVA Meeting Aerial Image Recognition and Classification 2010
110-114
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Interactive Multi-Label Segmentation
Asian Conference on Computer Vision
392-405
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Fast reduction of undersampling artifacts in radial MR angiography with 3D total variation on graphics hardware
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Point Clouds: Lidar versus 3D Vision
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Exploiting Redundancy for Aerial Image Fusion using Convex Optimization
Proceedings for DAGM 2010
303-312
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