Index for pock

Pock, C.[Christian] Co Author Listing * Precise Orbit Determination for Climate Applications of GNSS Radio Occultation including Uncertainty Estimation

Pock, M.[Michael] Co Author Listing * Algorithmic Differentiation: Application to Variational Problems in Computer Vision

Pock, T.[Thomas] Co Author Listing * 3D Fluid Flow Estimation with Integrated Particle Reconstruction
* Acceleration of the PDHGM on Partially Strongly Convex Functions
* Aerial Computer Vision for a 3D Virtual Habitat
* algorithm for minimizing the Mumford-Shah functional, An
* Algorithmic Differentiation: Application to Variational Problems in Computer Vision
* Anisotropic Huber-L1 Optical Flow
* Anisotropic Minimal Surfaces Integrating Photoconsistency and Normal Information for Multiview Stereo
* Approximate Envelope Minimization for Curvature Regularity
* Bayesian Uncertainty Estimation of Learned Variational MRI Reconstruction
* Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems
* Bilevel Optimization Approach for Parameter Learning in Variational Models, A
* Bilevel Optimization with Nonsmooth Lower Level Problems
* BP-MVSNet: Belief-Propagation-Layers for Multi-View-Stereo
* Continuous Energy Minimization Via Repeated Binary Fusion
* Convex Approach for Variational Super-Resolution, A
* Convex Approach to Minimal Partitions, A
* Convex Formulation of Continuous Multi-label Problems, A
* convex relaxation approach for computing minimal partitions, A
* Convex Relaxation of a Class of Vertex Penalizing Functionals
* Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data, A
* Convolutional Networks for Shape from Light Field
* Crouzeix-Raviart Approximation of the Total Variation on Simplicial Meshes
* Deep Variational Model for Image Segmentation, A
* Deep-Learning Methods for Parallel Magnetic Resonance Imaging Reconstruction: A Survey of the Current Approaches, Trends, and Issues
* Dense reconstruction on-the-fly
* Depth Restoration via Joint Training of a Global Regression Model and CNNs
* Diagonal preconditioning for first order primal-dual algorithms in convex optimization
* Diffusion-based generation of Histopathological Whole Slide Images at a Gigapixel scale
* Duality Based Approach for Realtime TV-L1 Optical Flow, A
* Duality TV-L1 flow with fundamental matrix prior
* Efficient and Globally Optimal Multi View Dense Matching for Aerial Images
* Efficient minimal-surface regularization of perspective depth maps in variational stereo
* Efficient Minimization of the Non-local Potts Model
* End-to-End Training of Hybrid CNN-CRF Models for Stereo
* Explicit Diffusion of Gaussian Mixture Model Based Image Priors
* Exploiting Redundancy for Aerial Image Fusion Using Convex Optimization
* Fast and exact solution of Total Variation models on the GPU
* First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging, A
* Global Relabeling for Continuous Optimization in Binary Image Segmentation
* Global Solutions Of Variational Models With Convex Regularization
* Globally Optimal Algorithm for Robust TV-L1 Range Image Integration, A
* Guest Editorial: Scale Space and Variational Methods
* Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging
* Higher-Order MRF Based Variational Model for Multiplicative Noise Reduction, A
* Improving Optical Flow on a Pyramid Level
* Inertial Forward-Backward Algorithm for Monotone Inclusions, An
* Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems
* Inline Double Layer Depth Estimation with Transparent Materials
* Insights Into Analysis Operator Learning: From Patch-Based Sparse Models to Higher Order MRFs
* Interactive Multi-label Segmentation
* Interactive Texture Segmentation using Random Forests and Total Variation
* iPiano: Inertial Proximal Algorithm for Nonconvex Optimization
* iPiasco: Inertial Proximal Algorithm for Strongly Convex Optimization
* Is Appearance Free Action Recognition Possible?
* Iterated L1 Algorithm for Non-smooth Non-convex Optimization in Computer Vision, An
* Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling
* Large displacement optical flow computation without warping
* Large-Scale Semantic 3D Reconstruction: An Adaptive Multi-resolution Model for Multi-class Volumetric Labeling
* Learned Collaborative Stereo Refinement
* Learned Discretization Schemes for the Second-order Total Generalized Variation
* Learned Variational Video Color Propagation
* Learning Atrial Fiber Orientations and Conductivity Tensors from Intracardiac Maps Using Physics-Informed Neural Networks
* Learning Consistent Discretizations of the Total Variation
* Learning Energy Based Inpainting for Optical Flow
* Learning Reaction-Diffusion Models for Image Inpainting
* Lightweight Video Denoising using Aggregated Shifted Window Attention
* Minimizing TGV-Based Variational Models with Non-convex Data Terms
* Motion estimation with non-local total variation regularization
* Mumford-Shah Meets Stereo: Integration of Weak Depth Hypotheses
* Neural EPI-Volume Networks for Shape from Light Field
* Non-local Total Generalized Variation for Optical Flow Estimation
* Novel Robust Tube Detection Filter for 3D Centerline Extraction, A
* On Iteratively Reweighted Algorithms for Nonsmooth Nonconvex Optimization in Computer Vision
* On learning optimized reaction diffusion processes for effective image restoration
* On the Estimation of the Wasserstein Distance in Generative Models
* Online 3D reconstruction using convex optimization
* Online multi-class LPBoost
* Optical Flow Guided TV-L1 Video Interpolation and Restoration
* Optimizing Wavelet Bases for Sparser Representations
* Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging
* Primal Dual Network for Low-Level Vision Problems, A
* Probabilistic Multi-phase Model for Variational Image Segmentation, A
* PROST: Parallel robust online simple tracking
* Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation
* Real-Time Intensity-Image Reconstruction for Event Cameras Using Manifold Regularisation
* Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration
* Scalable Full Flow with Learned Binary Descriptors
* Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm
* Shape from Light Field Meets Robust PCA
* Shared Prior Learning of Energy-Based Models for Image Reconstruction
* Special Issue on the Mathematical Foundations of Deep Learning in Imaging Science
* Stable Deep MRI Reconstruction Using Generative Priors
* Structure- and motion-adaptive regularization for high accuracy optic flow
* Techniques for Gradient-Based Bilevel Optimization with Non-smooth Lower Level Problems
* Time Discrete Geodesics in Deep Feature Spaces for Image Morphing
* Total Deep Variation for Linear Inverse Problems
* Total Deep Variation: A Stable Regularization Method for Inverse Problems
* Total Generalized Variation
* Total Generalized Variation on a Tree
* Total Variation on a Tree
* Tracking as Segmentation of Spatial-Temporal Volumes by Anisotropic Weighted TV
* Trainable Nonlinear Reaction Diffusion: A Flexible Framework for Fast and Effective Image Restoration
* Trainable Regularization for Multi-frame Superresolution
* TVSeg: Interactive Total Variation Based Image Segmentation
* U-shaped Networks for Shape from Light Field
* Unbiased Second-Order Prior for High-Accuracy Motion Estimation, An
* Variational Approach to Semiautomatic Generation of Digital Terrain Models, A
* Variational Fusion of Light Field and Photometric Stereo for Precise 3D Sensing within a Multi-Line Scan Framework
* Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking, A
* Variational Networks: An Optimal Control Approach to Early Stopping Variational Methods for Image Restoration
* Variational Networks: Connecting Variational Methods and Deep Learning
* Variational segmentation of elongated volumetric structures
* Video Super Resolution Using Duality Based TV-L1 Optical Flow
Includes: Pock, T.[Thomas] Pock, T. Pock, T.[Tom]
113 for Pock, T.

Pockaj, R.[Roberto] Co Author Listing * efficient use of MPEG-4 FAP interpolation for facial animation at 70 bits/frame, An
* Facial Animation Engine: Toward a High-Level Interface for the Design of MPEG-4 Compliant Animated Faces, The
* Real-time MPEG-4 facial animation with 3D scalable meshes
* Smooth surface interpolation and texture adaptation for MPEG-4 compliant calibration of 3D head models
Includes: Pockaj, R.[Roberto] Pockaj, R.

Pocking, S. Co Author Listing * Object Based Thermokarst Lake Change Mapping as Part of the ESA Data User Element (DUE) Permafrost
* Pan-Arctic Land Cover Mapping and Fire Assessment for the ESA Data User Element Permafrost
Includes: Pocking, S. P÷cking, S. (Maybe also Poecking, S.)P÷cking, S.[Stefan] (Maybe also Poecking, S.)

Index for "p"

Last update:18-Jul-24 21:13:19
Use for comments.