Pock, C.
Standard Author Listing
with: Andres, Y.: Precise Orbit Determination for Climate Applications of GN...
with: Innerkofler, J.: Precise Orbit Determination for Climate Applications ...
with: Jaggi, A.: Precise Orbit Determination for Climate Applications of GNS...
with: Kirchengast, G.: Precise Orbit Determination for Climate Applications ...
with: Marquardt, C.: Precise Orbit Determination for Climate Applications of...
with: Schwarz, M.: Precise Orbit Determination for Climate Applications of G...
Pock, M.
Standard Author Listing
with: Bischof, H.: Algorithmic Differentiation: Application to Variational P...
with: Pock, T.: Algorithmic Differentiation: Application to Variational Prob...
Pock, T.
Standard Author Listing
with: Akcakaya, M.: Deep-Learning Methods for Parallel Magnetic Resonance Im...
with: Antensteiner, D.: Variational Fusion of Light Field and Photometric St...
with: Balzer, J.: Efficient minimal-surface regularization of perspective de...
with: Bauer, C.: Variational segmentation of elongated volumetric structures
with: Beichel, R.: Novel Robust Tube Detection Filter for 3D Centerline Extr...
with: Bischof, H.: Aerial Computer Vision for a 3D Virtual Habitat
with: Bischof, H.: algorithm for minimizing the Mumford-Shah functional, An
with: Bischof, H.: Algorithmic Differentiation: Application to Variational P...
with: Bischof, H.: Anisotropic Huber-L1 Optical Flow
with: Bischof, H.: Continuous Energy Minimization Via Repeated Binary Fusion
with: Bischof, H.: Convex Approach for Variational Super-Resolution, A
with: Bischof, H.: Convex Formulation of Continuous Multi-label Problems, A
with: Bischof, H.: convex relaxation approach for computing minimal partitio...
with: Bischof, H.: Dense reconstruction on-the-fly
with: Bischof, H.: Depth Restoration via Joint Training of a Global Regressi...
with: Bischof, H.: Duality Based Approach for Realtime TV-L1 Optical Flow, A
with: Bischof, H.: Efficient and Globally Optimal Multi View Dense Matching ...
with: Bischof, H.: Efficient Minimization of the Non-local Potts Model
with: Bischof, H.: Exploiting Redundancy for Aerial Image Fusion Using Conve...
with: Bischof, H.: Fast and exact solution of Total Variation models on the ...
with: Bischof, H.: Global Relabeling for Continuous Optimization in Binary I...
with: Bischof, H.: Global Solutions Of Variational Models With Convex Regula...
with: Bischof, H.: Globally Optimal Algorithm for Robust TV-L1 Range Image I...
with: Bischof, H.: Guest Editorial: Scale Space and Variational Methods
with: Bischof, H.: Interactive Multi-label Segmentation
with: Bischof, H.: Interactive Texture Segmentation using Random Forests and...
with: Bischof, H.: Joint motion estimation and segmentation of complex scene...
with: Bischof, H.: Minimizing TGV-Based Variational Models with Non-convex D...
with: Bischof, H.: Motion estimation with non-local total variation regulari...
with: Bischof, H.: Mumford-Shah Meets Stereo: Integration of Weak Depth Hypo...
with: Bischof, H.: Novel Robust Tube Detection Filter for 3D Centerline Extr...
with: Bischof, H.: Online 3D reconstruction using convex optimization
with: Bischof, H.: Online multi-class LPBoost
with: Bischof, H.: Optical Flow Guided TV-L1 Video Interpolation and Restora...
with: Bischof, H.: Probabilistic Multi-phase Model for Variational Image Seg...
with: Bischof, H.: PROST: Parallel robust online simple tracking
with: Bischof, H.: Revisiting Loss-Specific Training of Filter-Based MRFs fo...
with: Bischof, H.: Structure- and motion-adaptive regularization for high ac...
with: Bischof, H.: Tracking as Segmentation of Spatial-Temporal Volumes by A...
with: Bischof, H.: TVSeg: Interactive Total Variation Based Image Segmentation
with: Bischof, H.: Unbiased Second-Order Prior for High-Accuracy Motion Esti...
with: Bischof, H.: Variational Approach to Semiautomatic Generation of Digit...
with: Bischof, H.: Variational Model for Interactive Shape Prior Segmentatio...
with: Bischof, H.: Variational segmentation of elongated volumetric structures
with: Blaha, M.: Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-r...
with: Blaschitz, B.: Inline Double Layer Depth Estimation with Transparent M...
with: Bogensperger, L.: Learned Discretization Schemes for the Second-order ...
with: Braun, J.: Duality TV-L1 flow with fundamental matrix prior
with: Bredies, K.: Convex Relaxation of a Class of Vertex Penalizing Functio...
with: Bredies, K.: Guest Editorial: Scale Space and Variational Methods
with: Bredies, K.: Non-local Total Generalized Variation for Optical Flow Es...
with: Bredies, K.: Total Generalized Variation
with: Brox, T.: Bilevel Optimization with Nonsmooth Lower Level Problems
with: Brox, T.: iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
with: Brox, T.: iPiasco: Inertial Proximal Algorithm for Strongly Convex Opt...
with: Brox, T.: Iterated L1 Algorithm for Non-smooth Non-convex Optimization...
with: Brox, T.: On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex...
with: Brox, T.: Techniques for Gradient-Based Bilevel Optimization with Non-...
with: Bruna, J.: Special Issue on the Mathematical Foundations of Deep Learn...
with: Bulo, S.R.: Improving Optical Flow on a Pyramid Level
with: Chambolle, A.: algorithm for minimizing the Mumford-Shah functional, An
with: Chambolle, A.: Convex Approach to Minimal Partitions, A
with: Chambolle, A.: convex relaxation approach for computing minimal partit...
with: Chambolle, A.: Convex Variational Model for Learning Convolutional Ima...
with: Chambolle, A.: Crouzeix-Raviart Approximation of the Total Variation o...
with: Chambolle, A.: Diagonal preconditioning for first order primal-dual al...
with: Chambolle, A.: Explicit Diffusion of Gaussian Mixture Model Based Imag...
with: Chambolle, A.: First-Order Primal-Dual Algorithm for Convex Problems w...
with: Chambolle, A.: Global Solutions Of Variational Models With Convex Regu...
with: Chambolle, A.: Guest Editorial: Variational Models, Convex Analysis an...
with: Chambolle, A.: Learned Discretization Schemes for the Second-order Tot...
with: Chambolle, A.: Learning Consistent Discretizations of the Total Variat...
with: Chen, Y.: iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
with: Chen, Y.J.: Higher-Order MRF Based Variational Model for Multiplicativ...
with: Chen, Y.J.: Insights Into Analysis Operator Learning: From Patch-Based...
with: Chen, Y.J.: On learning optimized reaction diffusion processes for eff...
with: Chen, Y.J.: Revisiting Loss-Specific Training of Filter-Based MRFs for...
with: Chen, Y.J.: Trainable Nonlinear Reaction Diffusion: A Flexible Framewo...
with: Costabal, F.S.: Learning Atrial Fiber Orientations and Conductivity Te...
with: Cremers, D.: algorithm for minimizing the Mumford-Shah functional, An
with: Cremers, D.: Anisotropic Huber-L1 Optical Flow
with: Cremers, D.: Anisotropic Minimal Surfaces Integrating Photoconsistency...
with: Cremers, D.: Continuous Energy Minimization Via Repeated Binary Fusion
with: Cremers, D.: Convex Approach to Minimal Partitions, A
with: Cremers, D.: Convex Formulation of Continuous Multi-label Problems, A
with: Cremers, D.: convex relaxation approach for computing minimal partitio...
with: Cremers, D.: Duality TV-L1 flow with fundamental matrix prior
with: Cremers, D.: Fast and exact solution of Total Variation models on the ...
with: Cremers, D.: Global Solutions Of Variational Models With Convex Regula...
with: Cremers, D.: Large displacement optical flow computation without warping
with: Cremers, D.: Structure- and motion-adaptive regularization for high ac...
with: Cremers, D.: TVSeg: Interactive Total Variation Based Image Segmentation
with: Cremers, D.: Unbiased Second-Order Prior for High-Accuracy Motion Esti...
with: Cremers, D.: Video Super Resolution Using Duality Based TV-L1 Optical ...
with: Dosovitskiy, A.: Iterated L1 Algorithm for Non-smooth Non-convex Optim...
with: Dosovitskiy, A.: On Iteratively Reweighted Algorithms for Nonsmooth No...
with: Effland, A.: Bayesian Uncertainty Estimation of Learned Variational MR...
with: Effland, A.: Learned Discretization Schemes for the Second-order Total...
with: Effland, A.: Learned Variational Video Color Propagation
with: Effland, A.: Lightweight Video Denoising using Aggregated Shifted Wind...
with: Effland, A.: Shared Prior Learning of Energy-Based Models for Image Re...
with: Effland, A.: Time Discrete Geodesics in Deep Feature Spaces for Image ...
with: Effland, A.: Total Deep Variation for Linear Inverse Problems
with: Effland, A.: Total Deep Variation: A Stable Regularization Method for ...
with: Effland, A.: Variational Networks: An Optimal Control Approach to Earl...
with: Feng, W.: Higher-Order MRF Based Variational Model for Multiplicative ...
with: Franke, U.: Duality TV-L1 flow with fundamental matrix prior
with: Fraundorfer, F.: Belief Propagation Reloaded: Learning BP-Layers for L...
with: Fraundorfer, F.: BP-MVSNet: Belief-Propagation-Layers for Multi-View-S...
with: Godec, M.: Online multi-class LPBoost
with: Graber, G.: Convex Formulation of Continuous Multi-label Problems, A
with: Graber, G.: Dense reconstruction on-the-fly
with: Graber, G.: Efficient minimal-surface regularization of perspective de...
with: Graber, G.: Online 3D reconstruction using convex optimization
with: Graber, G.: Real-Time Intensity-Image Reconstruction for Event Cameras...
with: Grabner, M.: Variational Approach to Semiautomatic Generation of Digit...
with: Grandits, T.: Learning Atrial Fiber Orientations and Conductivity Tens...
with: Grandits, T.: Optimizing Wavelet Bases for Sparser Representations
with: Haber, E.: Special Issue on the Mathematical Foundations of Deep Learn...
with: Habring, A.: Posterior-Variance-Based Error Quantification for Inverse...
with: Hammernik, K.: Bayesian Uncertainty Estimation of Learned Variational ...
with: Hammernik, K.: Deep-Learning Methods for Parallel Magnetic Resonance I...
with: Hammernik, K.: Trainable Regularization for Multi-frame Superresolution
with: Hammernik, K.: Variational Networks: Connecting Variational Methods an...
with: Harb, R.: Diffusion-based generation of Histopathological Whole Slide ...
with: Heber, S.: Approximate Envelope Minimization for Curvature Regularity
with: Heber, S.: Convolutional Networks for Shape from Light Field
with: Heber, S.: Learning Reaction-Diffusion Models for Image Inpainting
with: Heber, S.: Neural EPI-Volume Networks for Shape from Light Field
with: Heber, S.: Scene Flow Estimation from Light Fields via the Preconditio...
with: Heber, S.: Shape from Light Field Meets Robust PCA
with: Heber, S.: U-shaped Networks for Shape from Light Field
with: Hintermuller, M.: Guest Editorial: Variational Models, Convex Analysis...
with: Hofinger, M.: Improving Optical Flow on a Pyramid Level
with: Hofinger, M.: Learned Variational Video Color Propagation
with: Holler, M.: Convex Variational Model for Learning Convolutional Image ...
with: Holler, M.: Posterior-Variance-Based Error Quantification for Inverse ...
with: Ilic, F.: Is Appearance Free Action Recognition Possible?
with: Ilic, F.: Lightweight Video Denoising using Aggregated Shifted Window ...
with: Irschara, A.: Aerial Computer Vision for a 3D Virtual Habitat
with: Irschara, A.: Efficient and Globally Optimal Multi View Dense Matching...
with: Klatzer, T.: Trainable Regularization for Multi-frame Superresolution
with: Klatzer, T.: Variational Networks: Connecting Variational Methods and ...
with: Klaus, A.: Variational Approach to Semiautomatic Generation of Digital...
with: Kluckner, S.: Aerial Computer Vision for a 3D Virtual Habitat
with: Kluckner, S.: Exploiting Redundancy for Aerial Image Fusion Using Conv...
with: Knapitsch, A.: Improving Optical Flow on a Pyramid Level
with: Knobelreiter, P.: Belief Propagation Reloaded: Learning BP-Layers for ...
with: Knobelreiter, P.: BP-MVSNet: Belief-Propagation-Layers for Multi-View-...
with: Knobelreiter, P.: End-to-End Training of Hybrid CNN-CRF Models for Ste...
with: Knobelreiter, P.: Learned Collaborative Stereo Refinement
with: Knobelreiter, P.: Learning Energy Based Inpainting for Optical Flow
with: Knobelreiter, P.: Scalable Full Flow with Learned Binary Descriptors
with: Knoll, F.: Bayesian Uncertainty Estimation of Learned Variational MRI ...
with: Knoll, F.: Deep-Learning Methods for Parallel Magnetic Resonance Imagi...
with: Knoll, F.: Stable Deep MRI Reconstruction Using Generative Priors
with: Kobler, E.: Bayesian Uncertainty Estimation of Learned Variational MRI...
with: Kobler, E.: Explicit Diffusion of Gaussian Mixture Model Based Image P...
with: Kobler, E.: Learned Variational Video Color Propagation
with: Kobler, E.: Lightweight Video Denoising using Aggregated Shifted Windo...
with: Kobler, E.: Shared Prior Learning of Energy-Based Models for Image Rec...
with: Kobler, E.: Time Discrete Geodesics in Deep Feature Spaces for Image M...
with: Kobler, E.: Total Deep Variation for Linear Inverse Problems
with: Kobler, E.: Total Deep Variation: A Stable Regularization Method for I...
with: Kobler, E.: Trainable Regularization for Multi-frame Superresolution
with: Kobler, E.: Variational Networks: An Optimal Control Approach to Early...
with: Kobler, E.: Variational Networks: Connecting Variational Methods and D...
with: Kolev, K.: Anisotropic Minimal Surfaces Integrating Photoconsistency a...
with: Kolmogorov, V.: Total Variation on a Tree
with: Kontschieder, P.: Improving Optical Flow on a Pyramid Level
with: Kopf, C.: Inline Double Layer Depth Estimation with Transparent Materi...
with: Krause, R.: Learning Atrial Fiber Orientations and Conductivity Tensor...
with: Kuhn, A.: BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
with: Kuijper, A.: Guest Editorial: Scale Space and Variational Methods
with: Kunisch, K.: Bilevel Optimization Approach for Parameter Learning in V...
with: Kunisch, K.: Total Deep Variation for Linear Inverse Problems
with: Kunisch, K.: Total Deep Variation: A Stable Regularization Method for ...
with: Kunisch, K.: Total Generalized Variation
with: Kunisch, K.: Variational Networks: An Optimal Control Approach to Earl...
with: Kutyniok, G.: Special Issue on the Mathematical Foundations of Deep Le...
with: Lasinger, K.: 3D Fluid Flow Estimation with Integrated Particle Recons...
with: Leberl, F.: Aerial Computer Vision for a 3D Virtual Habitat
with: Leistner, C.: Interactive Texture Segmentation using Random Forests an...
with: Leistner, C.: Online multi-class LPBoost
with: Leistner, C.: PROST: Parallel robust online simple tracking
with: Lindner, L.: Lightweight Video Denoising using Aggregated Shifted Wind...
with: Lorenz, D.A.: Inertial Forward-Backward Algorithm for Monotone Inclusi...
with: Maurer, M.: Dense reconstruction on-the-fly
with: Mauthner, T.: Tracking as Segmentation of Spatial-Temporal Volumes by ...
with: Meixner, P.: Efficient and Globally Optimal Multi View Dense Matching ...
with: Mitzel, D.: Video Super Resolution Using Duality Based TV-L1 Optical F...
with: Moeller, S.: Deep-Learning Methods for Parallel Magnetic Resonance Ima...
with: Muller, H.: Diffusion-based generation of Histopathological Whole Slid...
with: Munda, G.: Real-Time Intensity-Image Reconstruction for Event Cameras ...
with: Munda, G.: Scalable Full Flow with Learned Binary Descriptors
with: Narnhofer, D.: Bayesian Uncertainty Estimation of Learned Variational ...
with: Narnhofer, D.: Posterior-Variance-Based Error Quantification for Inver...
with: Ochs, P.: Bilevel Optimization with Nonsmooth Lower Level Problems
with: Ochs, P.: iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
with: Ochs, P.: iPiasco: Inertial Proximal Algorithm for Strongly Convex Opt...
with: Ochs, P.: Iterated L1 Algorithm for Non-smooth Non-convex Optimization...
with: Ochs, P.: On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex...
with: Ochs, P.: Techniques for Gradient-Based Bilevel Optimization with Non-...
with: Perdikaris, P.: Learning Atrial Fiber Orientations and Conductivity Te...
with: Pezzuto, S.: Learning Atrial Fiber Orientations and Conductivity Tenso...
with: Pinetz, T.: On the Estimation of the Wasserstein Distance in Generativ...
with: Pinetz, T.: Shared Prior Learning of Energy-Based Models for Image Rec...
with: Plank, G.: Learning Atrial Fiber Orientations and Conductivity Tensors...
with: Pock, M.: Algorithmic Differentiation: Application to Variational Prob...
with: Porzi, L.: Improving Optical Flow on a Pyramid Level
with: Qiao, H.: Higher-Order MRF Based Variational Model for Multiplicative ...
with: Ranftl, R.: Approximate Envelope Minimization for Curvature Regularity
with: Ranftl, R.: Bilevel Optimization with Nonsmooth Lower Level Problems
with: Ranftl, R.: Deep Variational Model for Image Segmentation, A
with: Ranftl, R.: Depth Restoration via Joint Training of a Global Regressio...
with: Ranftl, R.: Higher-Order MRF Based Variational Model for Multiplicativ...
with: Ranftl, R.: Insights Into Analysis Operator Learning: From Patch-Based...
with: Ranftl, R.: Minimizing TGV-Based Variational Models with Non-convex Da...
with: Ranftl, R.: Non-local Total Generalized Variation for Optical Flow Est...
with: Ranftl, R.: Revisiting Loss-Specific Training of Filter-Based MRFs for...
with: Ranftl, R.: Techniques for Gradient-Based Bilevel Optimization with No...
with: Reinbacher, C.: End-to-End Training of Hybrid CNN-CRF Models for Stereo
with: Reinbacher, C.: Real-Time Intensity-Image Reconstruction for Event Cam...
with: Reinbacher, C.: Variational segmentation of elongated volumetric struc...
with: Richard, A.: Large-Scale Semantic 3D Reconstruction: An Adaptive Multi...
with: Riegler, G.: Depth Restoration via Joint Training of a Global Regressi...
with: Rolinek, M.: Total Variation on a Tree
with: Rossi, M.: BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
with: Rumpf, M.: Time Discrete Geodesics in Deep Feature Spaces for Image Mo...
with: Rumpler, M.: Efficient and Globally Optimal Multi View Dense Matching ...
with: Ruther, M.: Depth Restoration via Joint Training of a Global Regressio...
with: Sabach, S.: Inertial Proximal Alternating Linearized Minimization (iPA...
with: Saffari, A.: Interactive Texture Segmentation using Random Forests and...
with: Saffari, A.: Online multi-class LPBoost
with: Saffari, A.: PROST: Parallel robust online simple tracking
with: Santner, J.: Interactive Multi-label Segmentation
with: Santner, J.: Interactive Texture Segmentation using Random Forests and...
with: Santner, J.: PROST: Parallel robust online simple tracking
with: Schindler, K.: 3D Fluid Flow Estimation with Integrated Particle Recon...
with: Schindler, K.: Large-Scale Semantic 3D Reconstruction: An Adaptive Mul...
with: Schnorr, C.: Guest Editorial: Variational Models, Convex Analysis and ...
with: Schoenemann, T.: Convex Formulation of Continuous Multi-label Problems...
with: Schoenemann, T.: Video Super Resolution Using Duality Based TV-L1 Opti...
with: Shekhovtsov, A.: Belief Propagation Reloaded: Learning BP-Layers for L...
with: Shekhovtsov, A.: End-to-End Training of Hybrid CNN-CRF Models for Stereo
with: Shekhovtsov, A.: Scalable Full Flow with Learned Binary Descriptors
with: Soatto, S.: Efficient minimal-surface regularization of perspective de...
with: Sodickson, D.K.: Deep-Learning Methods for Parallel Magnetic Resonance...
with: Sormann, C.: Belief Propagation Reloaded: Learning BP-Layers for Label...
with: Sormann, C.: BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
with: Soukup, D.: On the Estimation of the Wasserstein Distance in Generativ...
with: Soukup, D.: Trainable Regularization for Multi-frame Superresolution
with: Steidl, G.: Guest Editorial: Variational Models, Convex Analysis and N...
with: Steinbrucker, F.: Large displacement optical flow computation without ...
with: Stolc, S.: Inline Double Layer Depth Estimation with Transparent Mater...
with: Stole, S.: Variational Fusion of Light Field and Photometric Stereo fo...
with: Trobin, W.: Anisotropic Huber-L1 Optical Flow
with: Trobin, W.: Continuous Energy Minimization Via Repeated Binary Fusion
with: Trobin, W.: TVSeg: Interactive Total Variation Based Image Segmentation
with: Trobin, W.: Unbiased Second-Order Prior for High-Accuracy Motion Estim...
with: Unger, M.: Convex Approach for Variational Super-Resolution, A
with: Unger, M.: Efficient Minimization of the Non-local Potts Model
with: Unger, M.: Fast and exact solution of Total Variation models on the GPU
with: Unger, M.: Global Relabeling for Continuous Optimization in Binary Ima...
with: Unger, M.: Interactive Texture Segmentation using Random Forests and T...
with: Unger, M.: Joint motion estimation and segmentation of complex scenes ...
with: Unger, M.: Optical Flow Guided TV-L1 Video Interpolation and Restoration
with: Unger, M.: Tracking as Segmentation of Spatial-Temporal Volumes by Ani...
with: Unger, M.: TVSeg: Interactive Total Variation Based Image Segmentation
with: Unger, M.: Variational Approach to Semiautomatic Generation of Digital...
with: Unger, M.: Variational Model for Interactive Shape Prior Segmentation ...
with: Valkonen, T.: Acceleration of the PDHGM on Partially Strongly Convex F...
with: Vidal, R.: Special Issue on the Mathematical Foundations of Deep Learn...
with: Vogel, C.: 3D Fluid Flow Estimation with Integrated Particle Reconstru...
with: Vogel, C.: Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-r...
with: Vogel, C.: Learning Energy Based Inpainting for Optical Flow
with: Vogel, C.: Primal Dual Network for Low-Level Vision Problems, A
with: Wedel, A.: Anisotropic Huber-L1 Optical Flow
with: Wedel, A.: Duality TV-L1 flow with fundamental matrix prior
with: Wedel, A.: Structure- and motion-adaptive regularization for high accu...
with: Wegner, J.D.: Large-Scale Semantic 3D Reconstruction: An Adaptive Mult...
with: Wendel, A.: Dense reconstruction on-the-fly
with: Werlberger, M.: Anisotropic Huber-L1 Optical Flow
with: Werlberger, M.: Convex Approach for Variational Super-Resolution, A
with: Werlberger, M.: Efficient Minimization of the Non-local Potts Model
with: Werlberger, M.: Joint motion estimation and segmentation of complex sc...
with: Werlberger, M.: Motion estimation with non-local total variation regul...
with: Werlberger, M.: Optical Flow Guided TV-L1 Video Interpolation and Rest...
with: Werlberger, M.: Variational Model for Interactive Shape Prior Segmenta...
with: Wildes, R.P.: Is Appearance Free Action Recognition Possible?
with: Wirth, B.: Convex Relaxation of a Class of Vertex Penalizing Functionals
with: Yu, W.: Learning Reaction-Diffusion Models for Image Inpainting
with: Yu, W.: Neural EPI-Volume Networks for Shape from Light Field
with: Yu, W.: On learning optimized reaction diffusion processes for effecti...
with: Yu, W.: U-shaped Networks for Shape from Light Field
with: Zach, C.: Duality Based Approach for Realtime TV-L1 Optical Flow, A
with: Zach, C.: Globally Optimal Algorithm for Robust TV-L1 Range Image Inte...
with: Zach, C.: Mumford-Shah Meets Stereo: Integration of Weak Depth Hypothe...
with: Zach, M.: Explicit Diffusion of Gaussian Mixture Model Based Image Pri...
with: Zach, M.: Stable Deep MRI Reconstruction Using Generative Priors
with: Zhang, C.: Deep-Learning Methods for Parallel Magnetic Resonance Imagi...
306 for Pock, T.
Pockaj, R.
Standard Author Listing
with: Bonamico, C.: Real-time MPEG-4 facial animation with 3D scalable meshes
with: Costa, M.: Real-time MPEG-4 facial animation with 3D scalable meshes
with: Costa, M.: Smooth surface interpolation and texture adaptation for MPE...
with: Lavagetto, F.: efficient use of MPEG-4 FAP interpolation for facial an...
with: Lavagetto, F.: Facial Animation Engine: Toward a High-Level Interface ...
with: Lavagetto, F.: Real-time MPEG-4 facial animation with 3D scalable meshes
with: Lavagetto, F.: Smooth surface interpolation and texture adaptation for...
7 for Pockaj, R.
Pocking, S.
Standard Author Listing
with: Grosse, G.: Object Based Thermokarst Lake Change Mapping as Part of th...
with: Herold, M.: Pan-Arctic Land Cover Mapping and Fire Assessment for the ...
with: Hese, S.: Object Based Thermokarst Lake Change Mapping as Part of the ...
with: Hese, S.: Pan-Arctic Land Cover Mapping and Fire Assessment for the ES...
with: Schmullius, C.: Pan-Arctic Land Cover Mapping and Fire Assessment for ...
with: Urban, M.: Pan-Arctic Land Cover Mapping and Fire Assessment for the E...