Index for coup

Coup, S. * 2018: Hidden Features: Experiments with Feature Transfer for Fine-Grained Multi-Class and One-Class Image Categorization

Coupe, A.[Adeline] * 2013: Conflation Optimized by Least Squares to Maintain Geographic Shapes
Includes: Coupe, A.[Adeline] Coupé, A.[Adeline]

Coupe, D.L.C.P.[D. Louis Collins Pierrick] * 2014: Anatomically Constrained Weak Classifier Fusion for Early Detection of Alzheimer's Disease
Includes: Coupe, D.L.C.P.[D. Louis Collins Pierrick] Coupé, D.L.C.P.[D. Louis Collins Pierrick]

Coupe, N.R. * 2012: Monitoring Spatial Patterns Of Vegetation Phenology In An Australian Tropical Transect Using Modis Evi

Coupe, P.[Pierrick] * 2007: Bayesian Non-local Means Filter, Image Redundancy and Adaptive Dictionaries for Noise Removal
* 2008: Optimized Blockwise Nonlocal Means Denoising Filter for 3-D Magnetic Resonance Images, An
* 2009: Nonlocal Means-Based Speckle Filtering for Ultrasound Images
* 2011: Real time ultrasound image denoising
* 2012: Adaptive multiresolution non-local means filter for three-dimensional magnetic resonance image denoising
* 2017: SuperPatchMatch: An Algorithm for Robust Correspondences Using Superpixel Patches
Includes: Coupe, P.[Pierrick] Coupé, P.[Pierrick] Coupe, P. Coupé, P.

Coupe, S.[Simon] * 2008: Quantitative Verification of Projected Views Using a Power Law Model of Feature Detection

Coupeau, P. * 2022: On the relevance of edge-conditioned convolution for GNN-based semantic image segmentation using spatial relationships

Coupechoux, M. * 2021: Fair Self-Adaptive Clustering for Hybrid Cellular-Vehicular Networks

Coupete, E.[Eva] * 2024: Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution

Coupez, T.[Thierry] * 2014: Flow Simulations on 3D Segmented Images Using Reinitialization and Anisotropic Mesh Adaptation

Coupier, D. * 2005: Image Denoising by Statistical Area Thresholding

Coupland, S.[Simon] * 2019: Real-Time 3D Head Pose Tracking Through 2.5D Constrained Local Models with Local Neural Fields
* 2020: Opportunities for Machine Learning and Artificial Intelligence In National Mapping Agencies: Enhancing Ordnance Survey Workflow
Includes: Coupland, S.[Simon] Coupland, S.

Coupland, S.E.[Sarah E.] * 2022: DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification
* 2023: Weakly Supervised Segmentation with Point Annotations for Histopathology Images via Contrast-Based Variational Model
Includes: Coupland, S.E.[Sarah E.] Coupland, S.E.[Sarah E]

Couprie, C.[Camille] * 2009: Power watersheds: A new image segmentation framework extending graph cuts, random walker and optimal spanning forest
* 2010: Anisotropic diffusion using power watersheds
* 2011: Combinatorial Continuous Maximum Flow
* 2011: Power Watershed: A Unifying Graph-Based Optimization Framework
* 2013: Causal graph-based video segmentation
* 2013: Dual Constrained TV-based Regularization on Graphs
* 2013: Learning Hierarchical Features for Scene Labeling
* 2014: Image processing for materials characterization: Issues, challenges and opportunities
* 2017: Predicting Deeper into the Future of Semantic Segmentation
* 2018: Deep Spatio-Temporal Random Fields for Efficient Video Segmentation
* 2018: DesIGN: Design Inspiration from Generative Networks
* 2018: Joint Future Semantic and Instance Segmentation Prediction
* 2018: Predicting Future Instance Segmentation by Forecasting Convolutional Features
* 2020: Impact of Base Dataset Design on Few-shot Image Classification
* 2020: Unsupervised Image Decomposition in Vector Layers
* 2021: Inspirational Adversarial Image Generation
* 2021: Low Bandwidth Video-Chat Compression using Deep Generative Models
* 2021: Surprising image compositions
* 2021: Tarsier: Evolving Noise Injection in Super-Resolution GANs
* 2022: Unifying Conditional and Unconditional Semantic Image Synthesis with OCO-GAN
* 2024: Guided Distillation for Semi-Supervised Instance Segmentation
Includes: Couprie, C.[Camille] Couprie, C.
21 for Couprie, C.

Couprie, M. * 1997: Image Segmentation Through Operators Based on Topology
* 2002: Tessellations by connection
* 2002: Video fade detection by discrete line identification
* 2003: approach to detect video transitions based on mathematical morphology, An
* 2003: Discretization in 2D and 3D orders
* 2003: Topologically controlled segmentation of 3D magnetic resonance images of the head by using morphological operators
* 2003: Video segmentation based on 2D image analysis
* 2005: Discrete Surfaces and Frontier Orders
* 2005: Quasi-Linear Algorithms for the Topological Watershed
* 2006: Building the Component Tree in Quasi-Linear Time
* 2006: Grayscale Watersheds on Perfect Fusion Graphs
* 2006: New 2D Parallel Thinning Algorithms Based on Critical Kernels
* 2007: Automated, Accurate and Fast Segmentation of 4D Cardiac MR Images
* 2007: Discrete bisector function and Euclidean skeleton in 2D and 3D
* 2007: Morphological segmentation of yeast by image analysis
* 2008: Characterizing and Detecting Toric Loops in n-Dimensional Discrete Toric Spaces
* 2008: Fusion Graphs: Merging Properties and Watersheds
* 2008: Minimal Simple Pairs in the 3-D Cubic Grid
* 2008: Minimal Simple Pairs in the Cubic Grid
* 2008: New Characterizations of Simple Points, Minimal Non-simple Sets and P-Simple Points in 2D, 3D and 4D Discrete Spaces
* 2008: On Watershed Cuts and Thinnings
* 2008: Two-Dimensional Parallel Thinning Algorithms Based on Critical Kernels
* 2009: Collapses and Watersheds in Pseudomanifolds
* 2009: Discrete 2D and 3D euclidean medial axis in higher resolution
* 2009: Discrete lambda-Medial Axis, A
* 2009: Geometric Approach to Hole Segmentation and Hole Closing in 3D Volumetric Objects
* 2009: Homeomorphic Alignment of Edge-Weighted Trees
* 2009: New Characterizations of Simple Points in 2D, 3D, and 4D Discrete Spaces
* 2009: On Parallel Thinning Algorithms: Minimal Non-simple Sets, P-simple Points and Critical Kernels
* 2009: Optimisation-Based Approach to Mesh Smoothing: Reformulation and Extensions, An
* 2009: Surface Thinning in 3D Cubical Complexes
* 2009: Topology-Preserving Thinning in 2-D Pseudomanifolds
* 2009: Watershed Cuts: Minimum Spanning Forests and the Drop of Water Principle
* 2010: Characterization and Detection of Toric Loops in n-Dimensional Discrete Toric Spaces
* 2010: Generic Initialization for Motion Capture from 3D Shape
* 2010: Homeomorphic alignment of weighted trees
* 2010: Segmentation of 4D cardiac MRI: Automated method based on spatio-temporal watershed cuts
* 2010: Some links between extremum spanning forests, watersheds and min-cuts
* 2010: Topological Properties of Thinning in 2-D Pseudomanifolds
* 2010: Watershed Cuts: Thinnings, Shortest Path Forests, and Topological Watersheds
* 2011: Hierarchic Euclidean Skeletons in Cubical Complexes
* 2011: Isthmus-Based 6-Directional Parallel Thinning Algorithms
* 2011: Robust skeletonization using the discrete lambda-medial axis
* 2011: Unified Topological Framework for Digital Imaging, A
* 2012: Digital Imaging: A Unified Topological Framework
* 2012: Topology on Digital Label Images
* 2013: 3D Curvilinear Skeletonization Algorithm with Application to Path Tracing, A
* 2013: Parallel Thinning Algorithm for Grayscale Images, A
* 2013: Scale Filtered Euclidean Medial Axis
* 2013: Topological maps and robust hierarchical Euclidean skeletons in cubical complexes
* 2014: Collapses and Watersheds in Pseudomanifolds of Arbitrary Dimension
* 2014: Isthmus-Based Parallel and Asymmetric 3D Thinning Algorithms
* 2014: Isthmus-Based Parallel and Asymmetric 3D Thinning Algorithms
* 2014: Powerful Parallel and Symmetric 3D Thinning Schemes Based on Critical Kernels
* 2014: Scale filtered Euclidean medial axis and its hierarchy
* 2015: 3D Sequential Thinning Scheme Based on Critical Kernels, A
* 2016: Asymmetric parallel 3D thinning scheme and algorithms based on isthmuses
* 2016: Homotopic Thinning in 2D and 3D Cubical Complexes Based on Critical Kernels
* 2020: Guest Editorial: Special Issue on Discrete Geometry for Computer Imagery
Includes: Couprie, M. Couprie, M.[Michel]
59 for Couprie, M.

Index for "c"


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