Journals starting with gcpr

GCPR13 * *GCPR
* 3D Object Class Geometry Modeling with Spatial Latent Dirichlet Markov Random Fields
* Action Recognition with HOG-OF Features
* Approximate Sorting
* Automatic Level Set Based Cerebral Vessel Segmentation and Bone Removal in CT Angiography Data Sets
* Bone Age Assessment Using the Classifying Generalized Hough Transform
* Coded 3d Calibration Method for Line-Scan Cameras, A
* Comparison of Directional Distances for Hand Pose Estimation, A
* Confidence-Based Surface Prior for Energy-Minimization Stereo Matching
* CopyMe3D: Scanning and Printing Persons in 3D
* Discriminable Points That Stick Out of Their Environment
* Discriminative Detection and Alignment in Volumetric Data
* Discriminative Joint Non-negative Matrix Factorization for Human Action Classification
* Distances Based on Non-rigid Alignment for Comparison of Different Object Instances
* Efficient Multi-cue Scene Segmentation
* Efficient Retrieval for Large Scale Metric Learning
* Evaluation of Data Costs for Optical Flow, An
* Framework for Generation of Synthetic Ground Truth Data for Driver Assistance Applications
* Hierarchical Voxel Hash for Fast 3D Nearest Neighbor Lookup, A
* Highly Accurate Depth Estimation for Objects at Large Distances
* Illumination Robust Optical Flow Model Based on Histogram of Oriented Gradients
* Image Based 6-DOF Camera Pose Estimation with Weighted RANSAC 3D
* Improved Model for Estimating the Meteorological Visibility from a Road Surface Luminance Curve, An
* Joint Shape Classification and Labeling of 3-D Objects Using the Energy Minimization Framework
* K-Smallest Spanning Tree Segmentations
* Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes
* Learning How to Combine Internal and External Denoising Methods
* Low-Rank Constraint for Parallel Stereo Cameras, A
* Monocular Pose Capture with a Depth Camera Using a Sums-of-Gaussians Body Model
* Monte Carlo Strategy to Integrate Detection and Model-Based Face Analysis, A
* Multi-Resolution Range Data Fusion for Multi-View Stereo Reconstruction
* Ordinal Random Forests for Object Detection
* Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study
* Performance Evaluation of Narrow Band Methods for Variational Stereo Reconstruction
* Reconstructing Reflective and Transparent Surfaces from Epipolar Plane Images
* Refractive Plane Sweep for Underwater Images
* Representation Learning for Cloud Classification
* Revisiting Loss-Specific Training of Filter-Based MRFs for Image Restoration
* Robust Realtime Motion-Split-And-Merge for Motion Segmentation
* Scale-Aware Object Tracking with Convex Shape Constraints on RGB-D Images
* Sequential Gaussian Mixture Models for Two-Level Conditional Random Fields
* Spatial Pattern Templates for Recognition of Objects with Regular Structure
* Stixel-Based Target Existence Estimation under Adverse Conditions
* Structure from Motion Using Rigidly Coupled Cameras without Overlapping Views
* Symmetry-Based Detection and Diagnosis of DCIS in Breast MRI
* Synthesizing Real World Stereo Challenges
* Three-Dimensional Data Compression with Anisotropic Diffusion
47 for GCPR13

GCPR14 * *GCPR
* Accurate Detection in Volumetric Images Using Elastic Registration Based Validation
* Active Online Learning for Interactive Segmentation Using Sparse Gaussian Processes
* Asymmetric Cuts: Joint Image Labeling and Partitioning
* Automatic 3D Reconstruction of Indoor Manhattan World Scenes Using Kinect Depth Data
* Automatic Determination of Anatomical Correspondences for Multimodal Field of View Correction
* Can Cosegmentation Improve the Object Detection Quality?
* Capturing Hand Motion with an RGB-D Sensor, Fusing a Generative Model with Salient Points
* Casting Random Forests as Artificial Neural Networks (and Profiting from It)
* Coded Aperture Flow
* Coherent Multi-sentence Video Description with Variable Level of Detail
* Committees of Deep Feedforward Networks Trained with Few Data
* Convolutional Decision Trees for Feature Learning and Segmentation
* Deep Variational Model for Image Segmentation, A
* Dense Pipeline for 3D Reconstruction from Image Sequences, A
* Detection and Segmentation of Clustered Objects by Using Iterative Classification, Segmentation, and Gaussian Mixture Models and Application to Wood Log Detection
* Detection of Clustered Objects in Sparse Point Clouds Through 2D Classification and Quadric Filtering
* Distance-Based Descriptors and Their Application in the Task of Object Detection
* Efficient Hierarchical Triplet Merging for Camera Pose Estimation
* Efficient Metropolis-Hasting Image Analysis for the Location of Vascular Entity
* Efficient Multiple People Tracking Using Minimum Cost Arborescences
* Encoding Spatial Arrangements of Visual Words for Rotation-Invariant Image Classification
* Exemplar-Specific Patch Features for Fine-Grained Recognition
* Fine-Grained Activity Recognition with Holistic and Pose Based Features
* Flow and Color Inpainting for Video Completion
* Gas Bubble Shape Measurement and Analysis
* Geometric Reasoning for Uncertain Observations of Man-Made Structures
* Graph-Based and Variational Minimization of Statistical Cost Functionals for 3D Segmentation of Aortic Dissections
* Guided Image Super-Resolution: A New Technique for Photogeometric Super-Resolution in Hybrid 3-D Range Imaging
* Hierarchical Bayesian Approach for Unsupervised Cell Phenotype Clustering, A
* High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth
* Hough Forests Revisited: An Approach to Multiple Instance Tracking from Multiple Cameras
* Human Factors Study of Graphical Passwords Using Biometrics, A
* Image Descriptors Based on Curvature Histograms
* Information Bottleneck for Pathway-Centric Gene Expression Analysis
* Introducing More Physics into Variational Depth-from-Defocus
* Kernel Density Estimation for Post Recognition Score Analysis
* Learning Multi-scale Representations for Material Classification
* Learning Must-Link Constraints for Video Segmentation Based on Spectral Clustering
* Lens-Based Depth Estimation for Multi-focus Plenoptic Cameras
* Locality Sensitive Hashing Using GMM
* Mask-Specific Inpainting with Deep Neural Networks
* Mind the Gap: Modeling Local and Global Context in (Road) Networks
* Motion Segmentation with Weak Labeling Priors
* Multi-atlas Based Segmentation of Corpus Callosum on MRIs of Multiple Sclerosis Patients
* Multi-view Tracking of Multiple Targets with Dynamic Cameras
* O(nlogn) Cutting Plane Algorithm for Structured Output Ranking, An
* Object-Level Priors for Stixel Generation
* Obtaining 2D Surface Characteristics from Specular Surfaces
* On the Second Order Statistics of Essential Matrix Elements
* Pedestrian Orientation Estimation
* Pose Normalization for Eye Gaze Estimation and Facial Attribute Description from Still Images
* Predicting the Influence of Additional Training Data on Classification Performance for Imbalanced Data
* Probabilistic Progress Bars
* Quality Based Information Fusion in Fully Automatized Celiac Disease Diagnosis
* Recognizing Scene Categories of Historical Postcards
* Robust PCA: Optimization of the Robust Reconstruction Error Over the Stiefel Manifold
* Scene Flow Estimation from Light Fields via the Preconditioned Primal-Dual Algorithm
* Scene Segmentation in Adverse Vision Conditions
* Semi-Global Matching: A Principled Derivation in Terms of Message Passing
* Signal/Background Classification of Time Series for Biological Virus Detection
* Spatial and Temporal Interpolation of Multi-view Image Sequences
* Stochastic Late Fusion Approach to Human Action Recognition in Unconstrained Images and Videos, A
* Submap-Based Bundle Adjustment for 3D Reconstruction from RGB-D Data
* Test-Time Adaptation for 3D Human Pose Estimation
* Tracking-Based Visibility Estimation
* Wide Base Stereo with Fisheye Optics: A Robust Approach for 3D Reconstruction in Driving Assistance
67 for GCPR14

GCPR15 * *GCPR
* 3D Facial Landmark Detection: How to Deal with Head Rotations?
* Binarization Driven Blind Deconvolution for Document Image Restoration
* Biternion Nets: Continuous Head Pose Regression from Discrete Training Labels
* Convex Relaxation Approach to the Affine Subspace Clustering Problem, A
* Copula Archetypal Analysis
* Deeper Look at Dataset Bias, A
* Discrete Optimization for Optical Flow
* Efficient Linearisation Approach for Variational Perspective Shape from Shading, An
* Efficient Two-View Geometry Classification
* Enhanced GPT Correlation for 2D Projection Transformation Invariant Template Matching
* Estimating Vehicle Ego-Motion and Piecewise Planar Scene Structure from Optical Flow in a Continuous Framework
* Fast Approximate GMM Soft-Assign for Fine-Grained Image Classification with Large Fisher Vectors
* Fast Brain MRI Registration with Automatic Landmark Detection Using a Single Template Image
* Fast Techniques for Monocular Visual Odometry
* FlowCap: 2D Human Pose from Optical Flow
* Graph-Based Deformable 3D Object Matching
* GraphFlow: 6D Large Displacement Scene Flow via Graph Matching
* High Speed Lossless Image Compression
* Image Orientation Estimation with Convolutional Networks
* Improved Eikonal Method for Surface Normal Integration, An
* Interactive Image Retrieval for Biodiversity Research
* Introducing Maximal Anisotropy into Second Order Coupling Models
* Iterative Automated Foreground Segmentation in Video Sequences Using Graph Cuts
* Joint 3D Object and Layout Inference from a Single RGB-D Image
* Learning Reaction-Diffusion Models for Image Inpainting
* Line3D: Efficient 3D Scene Abstraction for the Built Environment
* Long-Short Story of Movie Description, The
* Modified Isomap Approach to Manifold Learning in Word Spotting, A
* Multi-Camera Structure from Motion with Eye-to-Eye Calibration
* Novel Tree Block-Coordinate Method for MAP Inference, A
* Object Proposals Estimation in Depth Image Using Compact 3D Shape Manifolds
* Offline Writer Identification Using Convolutional Neural Network Activation Features
* Parametric Spectral Model for Texture-Based Salience, A
* Patch-Level Spatial Layout for Classification and Weakly Supervised Localization
* Photorealistic Face Transfer in 2D and 3D Video
* Physics-Based Statistical Model for Human Gait Analysis, A
* Pose Estimation and Shape Retrieval with Hough Voting in a Continuous Voting Space
* Regressor Based Estimation of the Eye Pupil Center
* Road Condition Estimation Based on Spatio-Temporal Reflection Models
* Semantic Segmentation Based Traffic Light Detection at Day and at Night
* Semi-Automatic Basket Catheter Reconstruction from Two X-Ray Views
* Superpixel Segmentation: An Evaluation
* Temporal Acoustic Words for Online Acoustic Event Detection
* TomoGC: Binary Tomography by Constrained GraphCuts
* Unsupervised and Accurate Extraction of Primitive Unit Cells from Crystal Images
* What Is Holding Back Convnets for Detection?
47 for GCPR15

GCPR16 * *GCPR
* Artistic Style Transfer for Videos
* Automated Segmentation of Immunostained Cell Nuclei in 3D Ultramicroscopy Images
* Boundary Preserving Variational Image Differentiation
* Camera-Agnostic Monocular SLAM and Semi-dense 3D Reconstruction
* Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates
* Contiguous Patch Segmentation in Pointclouds
* Convexification of Learning from Constraints
* Convnet for Non-maximum Suppression, A
* Convolutional Scale Invariance for Semantic Segmentation
* Coupling Convolutional Neural Networks and Hough Voting for Robust Segmentation of Ultrasound Volumes
* Depth Estimation Through a Generative Model of Light Field Synthesis
* Depth Map Based Facade Abstraction from Noisy Multi-View Stereo Point Clouds
* Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints
* Efficient Single-View 3D Co-segmentation Using Shape Similarity and Spatial Part Relations
* Fast and Accurate Micro Lenses Depth Maps for Multi-focus Light Field Cameras
* From Traditional to Modern: Domain Adaptation for Action Classification in Short Social Video Clips
* FSI Schemes: Fast Semi-Iterative Solvers for PDEs and Optimisation Methods
* Identifying Individual Facial Expressions by Deconstructing a Neural Network
* Joint Object Pose Estimation and Shape Reconstruction in Urban Street Scenes Using 3D Shape Priors
* Joint Recursive Monocular Filtering of Camera Motion and Disparity Map
* Large-Scale Active Learning with Approximations of Expected Model Output Changes
* Learning a Confidence Measure for Real-Time Egomotion Estimation
* Learning to Select Long-Track Features for Structure-From-Motion and Visual SLAM
* Occlusion-Aware Depth Estimation Using Sparse Light Field Coding
* Parametric Dictionary-Based Velocimetry for Echo PIV
* Pixel-Level Encoding and Depth Layering for Instance-Level Semantic Labeling
* Precise and Robust Line Detection for Highly Distorted and Noisy Images
* Prediction-Correction Approach for Real-Time Optical Flow Computation Using Stereo, A
* Randomly Sparsified Synthesis for Model-Based Deformation Analysis
* Reduction of Point Cloud Artifacts Using Shape Priors Estimated with the Gaussian Process Latent Variable Model
* Robust Interactive Multi-label Segmentation with an Advanced Edge Detector
* Semantically Guided Depth Upsampling
* Source Localization of Reaction-Diffusion Models for Brain Tumors
* Stereo Visual Odometry Without Temporal Filtering
* Train Detection and Tracking in Optical Time Domain Reflectometry (OTDR) Signals
* Weakly-Supervised Semantic Segmentation by Redistributing Region Scores Back to the Pixels
37 for GCPR16

GCPR17 * *GCPR
* Adaptive Regularization in Convex Composite Optimization for Variational Imaging Problems
* Combined Precise Extraction and Topology of Points, Lines and Curves in Man-Made Environments
* Comparative Study of Local Search Algorithms for Correlation Clustering, A
* Convolutional Neural Networks for Movement Prediction in Videos
* Deep Learning for Vanishing Point Detection Using an Inverse Gnomonic Projection
* Diverse M-Best Solutions by Dynamic Programming
* Down to Earth: Using Semantics for Robust Hypothesis Selection for the Five-Point Algorithm
* Edge Adaptive Seeding for Superpixel Segmentation
* Efficient Octree Design for Local Variational Range Image Fusion, An
* End-to-End Learning of Video Super-Resolution with Motion Compensation
* Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations
* Gradient Flows on a Riemannian Submanifold for Discrete Tomography
* Improving Facial Landmark Detection via a Super-Resolution Inception Network
* Learning Dilation Factors for Semantic Segmentation of Street Scenes
* Learning to Filter Object Detections
* Learning Where to Drive by Watching Others
* Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry, A
* Measuring the Accuracy of Object Detectors and Trackers
* Model Selection for Gaussian Process Regression
* Motion Deblurring in the Wild
* Multi-view Continuous Structured Light Scanning
* Neuron Pruning for Compressing Deep Networks Using Maxout Architectures
* Object Boundary Detection and Classification with Image-Level Labels
* On the Diffusion Process for Heart Rate Estimation from Face Videos Under Realistic Conditions
* Optical Flow-Based 3D Human Motion Estimation from Monocular Video
* Primal Dual Network for Low-Level Vision Problems, A
* Quantitative Assessment of Image Normalization for Classifying Histopathological Tissue of the Kidney, A
* Recurrent Residual Learning for Action Recognition
* Robust Multi-image HDR Reconstruction for the Modulo Camera
* Scalable Full Flow with Learned Binary Descriptors
* Semantic Segmentation of Outdoor Areas Using 3D Moment Invariants and Contextual Cues
* Trainable Regularization for Multi-frame Superresolution
* Variational Networks: Connecting Variational Methods and Deep Learning
34 for GCPR17

GCPR18 * *GCPR
* 3D Fluid Flow Estimation with Integrated Particle Reconstruction
* Acquire, Augment, Segment and Enjoy: Weakly Supervised Instance Segmentation of Supermarket Products
* AFSI: Adaptive Restart for Fast Semi-Iterative Schemes for Convex Optimisation
* Analysis by Synthesis Approach for Automatic Vertebral Shape Identification in Clinical QCT, An
* Associative Deep Clustering: Training a Classification Network with No Labels
* Compressed-Domain Video Object Tracking Using Markov Random Fields with Graph Cuts Optimization
* Context-driven Multi-stream LSTM (M-LSTM) for Recognizing Fine-Grained Activity of Drivers
* Convolve, Attend and Spell: An Attention-based Sequence-to-Sequence Model for Handwritten Word Recognition
* Counting the Uncountable: Deep Semantic Density Estimation from Space
* Cross and Learn: Cross-Modal Self-supervision
* Decoupling Respiratory and Angular Variation in Rotational X-ray Scans Using a Prior Bilinear Model
* Deep Distance Transform to Segment Visually Indistinguishable Merged Objects
* DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph
* Deriving Neural Network Architectures Using Precision Learning: Parallel-to-Fan Beam Conversion
* Detecting Face Morphing Attacks by Analyzing the Directed Distances of Facial Landmarks Shifts
* Detection of Mechanical Damages in Sawn Timber Using Convolutional Neural Networks
* Domain Generalization with Domain-Specific Aggregation Modules
* End-to-End Learning of Deterministic Decision Trees
* Ex Paucis Plura: Learning Affordance Segmentation from Very Few Examples
* Illumination Estimation Is Sufficient for Indoor-Outdoor Image Classification
* Improved Semantic Stixels via Multimodal Sensor Fusion
* Inference, Learning and Attention Mechanisms that Exploit and Preserve Sparsity in CNNs
* Information-Theoretic Active Learning for Content-Based Image Retrieval
* Invexity Preserving Transformations for Projection Free Optimization with Sparsity Inducing Non-convex Constraints
* KloudNet: Deep Learning for Sky Image Analysis and Irradiance Forecasting
* KS(conf): A Light-Weight Test if a ConvNet Operates Outside of Its Specifications
* Learning Style Compatibility for Furniture
* Low-Shot Learning of Plankton Categories
* MC2SLAM: Real-Time Inertial Lidar Odometry Using Two-Scan Motion Compensation
* Metric-Driven Learning of Correspondence Weighting for 2-D/3-D Image Registration
* Multi-class Cell Segmentation Using CNNs with F1-measure Loss Function
* Multi-view X-Ray R-CNN
* Multimodal Dense Stereo Matching
* NRST: Non-rigid Surface Tracking from Monocular Video
* On the Integration of Optical Flow and Action Recognition
* Parcel Tracking by Detection in Large Camera Networks
* Randomized Gradient-Free Attack on ReLU Networks, A
* Segmentation of Head and Neck Organs at Risk Using CNN with Batch Dice Loss
* Sublabel-Accurate Convex Relaxation with Total Generalized Variation Regularization
* Supervised Deep Kriging for Single-Image Super-Resolution
* Table Tennis Robot System Using an Industrial KUKA Robot Arm, A
* Taming the Cross Entropy Loss
* Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation
* Topology-Based 3D Reconstruction of Mid-Level Primitives in Man-Made Environments
* Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment
* Vehicle Re-identification in Context
* View-Aware Person Re-identification
* X-GAN: Improving Generative Adversarial Networks with ConveX Combinations
49 for GCPR18

GCPR19 * *GCPR
* 2D and 3D Segmentation of Uncertain Local Collagen Fiber Orientations in SHG Microscopy
* 3D Bird's-Eye-View Instance Segmentation
* Achieving Generalizable Robustness of Deep Neural Networks by Stability Training
* Adjustment and Calibration of Dome Port Camera Systems for Underwater Vision
* Classification-Specific Parts for Improving Fine-Grained Visual Categorization
* Deep Archetypal Analysis
* Dynamic Classifier Chains for Multi-label Learning
* DynGraph: Visual Question Answering via Dynamic Scene Graphs
* Entrack: A Data-Driven Maximum-Entropy Approach to Fiber Tractography
* Exploiting Attention for Visual Relationship Detection
* Generative Aging of Brain MR-Images and Prediction of Alzheimer Progression
* Group Pruning Using a Bounded-Lp Norm for Group Gating and Regularization
* Iris Verification with Convolutional Neural Network and Unit-Circle Layer
* Iterative Greedy Matching for 3D Human Pose Tracking from Multiple Views
* Joint Viewpoint and Keypoint Estimation with Real and Synthetic Data
* Learned Collaborative Stereo Refinement
* Learning 3D Semantic Reconstruction on Octrees
* Learning Task-Specific Generalized Convolutions in the Permutohedral Lattice
* Learning to Disentangle Latent Physical Factors for Video Prediction
* Learning to Train with Synthetic Humans
* Localized Interactive Instance Segmentation
* MLAttack: Fooling Semantic Segmentation Networks by Multi-layer Attacks
* Neural-Symbolic Architecture for Inverse Graphics Improved by Lifelong Meta-learning, A
* Non-causal Tracking by Deblatting
* Nonlinear Causal Link Estimation Under Hidden Confounding with an Application to Time Series Anomaly Detection
* Not Just a Matter of Semantics: The Relationship Between Visual and Semantic Similarity
* Object Segmentation Using Pixel-Wise Adversarial Loss
* On the Estimation of the Wasserstein Distance in Generative Models
* Plane Completion and Filtering for Multi-View Stereo Reconstruction
* Points2Pix: 3D Point-Cloud to Image Translation Using Conditional GANs
* Predicting Landscapes from Environmental Conditions Using Generative Networks
* SDNet: Semantically Guided Depth Estimation Network
* Semi-supervised Segmentation of Salt Bodies in Seismic Images Using an Ensemble of Convolutional Neural Networks
* Simultaneous Semantic Segmentation and Outlier Detection in Presence of Domain Shift
* Single Level Feature-to-Feature Forecasting with Deformable Convolutions
* Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems
* Tongue Contour Tracking in Ultrasound Images with Spatiotemporal LSTM Networks
* Training Auto-Encoder-Based Optimizers for Terahertz Image Reconstruction
* Training Invertible Neural Networks as Autoencoders
* Unsupervised Multi-source Domain Adaptation Driven by Deep Adversarial Ensemble Learning
* Visual Coin-Tracking: Tracking of Planar Double-Sided Objects
* Visual Person Understanding Through Multi-task and Multi-dataset Learning
* Weakly Supervised Learning of Dense Semantic Correspondences and Segmentation
44 for GCPR19

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