Astrain, J.J.
* 2015: Characterization of Wireless Channel Impact on Wireless Sensor Network Performance in Public Transportation Buses
* 2017: Optimization and Design of Wireless Systems for the Implementation of Context Aware Scenarios in Railway Passenger Vehicles
* 2017: SesToCross: Semantic Expert System to Manage Single-Lane Road Crossing
Astrakas, L.
* 2018: Functional Connectivity in Parkinson Disease Through Mixture Modelling
Astrand, E.
* 1994: single chip multi-function sensor system for wood inspection, A
* 1997: Analog Sensor Processing Using Exposure Control: A New Concept for High Speed Image Processing
Astratov, V.
* 2018: Numerical Method to Solve a Phaseless Coefficient Inverse Problem from a Single Measurement of Experimental Data, A
Astre, B.[Benjamin]
* 2008: Automatic calibration of a single-projector catadioptric display system
Astrid, M.[Marcella]
* 2020: Claws: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
* 2020: Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm
* 2020: SmoothMix: a Simple Yet Effective Data Augmentation to Train Robust Classifiers
* 2021: Anomaly Detection System via Moving Surveillance Robots with Human Collaboration, An
* 2021: Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection
* 2022: Stabilizing Adversarially Learned One-Class Novelty Detection Using Pseudo Anomalies
Includes: Astrid, M.[Marcella] Astrid, M.
Astrom, A.
* 1990: PASIC: a smart sensor for computer vision
* 1994: Near-Sensor Image Processing: A New Paradigm
* 1994: single chip multi-function sensor system for wood inspection, A
* 1996: Global Feature-Extraction Operations For Near-Sensor Image-Processing
* 1998: Intensity Mappings within the Context of Near-Sensor Image-Processing
Astrom, F.[Freddie]
* 2011: Color Persistent Anisotropic Diffusion of Images
* 2012: On Tensor-Based PDEs and Their Corresponding Variational Formulations with Application to Color Image Denoising
* 2013: Density Driven Diffusion
* 2013: Targeted Iterative Filtering
* 2014: On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising
* 2015: Tensor Variational Formulation of Gradient Energy Total Variation, A
* 2016: Assignment Manifold: A Smooth Model for Image Labeling, The
* 2016: Color image regularization via channel mixing and half quadratic minimization
* 2016: Double-Opponent Vectorial Total Variation
* 2016: Geometric Approach to Image Labeling, A
* 2016: Source Localization of Reaction-Diffusion Models for Brain Tumors
* 2017: geometric approach for color image regularization, A
* 2017: Graphical Model Parameter Learning by Inverse Linear Programming
* 2017: Image Labeling by Assignment
* 2017: Image Reconstruction by Multilabel Propagation
* 2017: MAP Image Labeling Using Wasserstein Messages and Geometric Assignment
* 2017: Mapping-Based Image Diffusion
* 2017: Numerical Integration of Riemannian Gradient Flows for Image Labeling
* 2018: Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment
* 2018: Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment
Includes: Astrom, F.[Freddie] Åström, F.[Freddie] Åström, F.
20 for Astrom, F.
Astrom, K.[Kalle]
* 1994: Affine and Projective Normalization of Planar Curves and Regions
* 1995: Canonical Framework for Sequences of Images, A
* 1995: Fundamental Limitations On Projective Invariants Of Planar Curves
* 1996: Algebraic Varieties in Multiple View Geometry
* 1996: Euclidean Reconstruction from Constant Intrinsic Parameters
* 1996: Generalised Epipolar Constraints
* 1996: Multilinear Constraints in Two-dimensional Vision and Isogonal Conjugacy
* 1996: Multilinear Forms in the Velocity Case
* 1996: Stochastic analysis of scale-space smoothing
* 1996: Stochastic modelling and analysis of sub-pixel edge detection
* 1997: Analog Sensor Processing Using Exposure Control: A New Concept for High Speed Image Processing
* 1997: Euclidean Reconstruction from Almost Uncalibrated Cameras
* 1997: Euclidean Reconstruction from Image Sequences with Varying and Unknown Focal Length and Principal Point
* 1997: Geometry of Visual Space: About the Incompatibility Between Science and Mathematics: Reply, The
* 1997: Motion Estimation in Image Sequences Using the Deformation of Apparent Contours
* 1997: Projective Reconstruction of 3D-Curves from Its 2D-Images Using Error Models and Bundle Adjustments
* 1997: Reconstruction of 3-D Curves from 2-D Images Using Affine Shape Methods for Curves
* 1997: Reconstruction of 3-D Curves from 2-D Images Using Affine Shape Methods for Curves
* 1997: Simplifications of Multilinear Forms for Sequences of Images
* 1998: Continuous Time Matching Constraints for Image Streams
* 1998: Minimal conditions on Intrinsic Parameters
* 1998: Motion Estimation in Image Sequences Using the Deformation of Apparent Contours
* 1999: Automatic Geometric Reasoning in Structure and Motion Estimation
* 1999: Extension of Affine Shape
* 1999: Flexible Calibration: Minimal Cases for Auto-Calibration
* 1999: Generalised Epipolar Constraints
* 1999: Motion Estimation in Image Sequences Using the Deformation of Apparent Contours
* 1999: Reconstruction of Curves in R3, using Factorization and Bundle Adjustment
* 1999: Solutions and Ambiguities of the Structure and Motion Problem for 1D Retinal Vision
* 1999: Structure and Motion from Lines under Affine Projections
* 2000: Automatic Geometric Reasoning in Structure and Motion Estimation
* 2000: Critical Motions for Auto-Calibration When Some Intrinsic Parameters Can Vary
* 2000: Invited Paper: Multiple View Vision
* 2000: Solutions and Ambiguities of the Structure and Motion Problem for 1D Retinal Vision
* 2001: Ambiguous Configurations for the 1D Structure and Motion Problem
* 2001: Classifying and Solving Minimal Structure and Motion Problems with Missing Data
* 2001: Critical Configurations for N-view Projective Reconstruction
* 2001: Introduction: Selected Papers from Statistical Methods for Image Processing
* 2001: Minimal Cases of Structure and Motion Problem with Missing Data for One-dimensional retinae
* 2001: Reconstruction of General Curves, Using Factorization and Bundle Adjustment
* 2002: Factorization with Erroneous Data
* 2002: Minimal Projective Reconstruction for Combinations of Points and Lines in Three Views
* 2002: Robust Factorization
* 2003: affine invariant deformable shape representation for general curves, An
* 2003: Ambiguous Configurations for the 1D Structure and Motion Problem
* 2003: Automated Interpretation of Cardiac Scintigrams
* 2003: Automated Interpretation of Ventilation-Perfusion Lung Scintigrams for the Diagnosis of Pulmonary Embolism Using Support Vector Machines
* 2003: Minimizing the description length using steepest descent
* 2004: Minimal Projective Reconstruction for Combinations of Points and Lines in Three Views
* 2004: Parameterisation invariant statistical shape models
* 2004: Robustness and specificity in object detection
* 2004: Structure and Motion Problems for Multiple Rigidly Moving Cameras
* 2005: Decision Support System for the Diagnosis of Parkinson's Disease
* 2005: Geometrical Computer Vision from Chasles to Today
* 2005: Reconstruction from Planar Motion Image Sequences with Applications for Autonomous Vehicles
* 2006: Bijective Image Registration using Thin-Plate Splines.
* 2006: Maximum Likelihood Estimates for Object Detection Using Multiple Detectors
* 2006: Minimal Structure and Motion Problems with Missing Data for 1D Retina Vision, The
* 2007: Automatic Feature Point Correspondences and Shape Analysis with Missing Data and Outliers Using MDL
* 2007: Fast Optimal Three View Triangulation
* 2007: Image-Based Localization Using Hybrid Feature Correspondences
* 2007: Improving Numerical Accuracy of Grobner Basis Polynomial Equation Solvers
* 2007: L-inf to Structure and Motion Problems in 1D-Vision, An
* 2007: Real Time Viterbi Optimization of Hidden Markov Models for Multi Target Tracking
* 2008: Column-Pivoting Based Strategy for Monomial Ordering in Numerical Gröbner Basis Calculations, A
* 2008: Fast and robust numerical solutions to minimal problems for cameras with radial distortion
* 2008: MDL patch correspondences on unlabeled images
* 2008: MDL patch correspondences on unlabeled images with occlusions
* 2009: Bundle Adjustment using Conjugate Gradients with Multiscale Preconditioning
* 2009: Fast and Stable Polynomial Equation Solving and Its Application to Computer Vision
* 2009: Minimal Solutions for Panoramic Stitching with Radial Distortion
* 2010: Conjugate Gradient Bundle Adjustment
* 2010: Fast and robust numerical solutions to minimal problems for cameras with radial distortion
* 2010: Global Optimization For One-Dimensional Structure And Motion Problems
* 2010: Multi-camera Platform Calibration Using Multi-linear Constraints
* 2010: Optimizing Visual Vocabularies Using Soft Assignment Entropies
* 2011: Automated System for the Detection and Diagnosis of Kidney Lesions in Children from Scintigraphy Images, An
* 2011: Automatic Compartment Modelling and Segmentation for Dynamical Renal Scintigraphies
* 2011: Supervised feature quantization with entropy optimization
* 2012: Bayesian Formulation of Image Patch Matching Using Cross-correlation
* 2012: Exploiting p-fold symmetries for faster polynomial equation solving
* 2012: Node localization in unsynchronized time of arrival sensor networks
* 2012: Numerically Stable Optimization of Polynomial Solvers for Minimal Problems
* 2012: Pose estimation from minimal dual-receiver configurations
* 2012: Robust Fitting for Multiple View Geometry
* 2013: Improved Object Detection and Pose Using Part-Based Models
* 2013: Pose Estimation with Unknown Focal Length Using Points, Directions and Lines
* 2013: Revisiting the PnP Problem: A Fast, General and Optimal Solution
* 2014: Image Segmentation and Labeling Using Free-Form Semantic Annotation
* 2014: Minimal Solution to Relative Pose with Unknown Focal Length and Radial Distortion, A
* 2014: Minimal Solvers for Relative Pose with a Single Unknown Radial Distortion
* 2014: Partial Symmetry in Polynomial Systems and Its Applications in Computer Vision
* 2014: Prime Rigid Graphs and Multidimensional Scaling with Missing Data
* 2014: Revisiting Trifocal Tensor Estimation Using Lines
* 2015: Absolute pose for cameras under flat refractive interfaces
* 2015: On the minimal problems of low-rank matrix factorization
* 2015: Tractable Algorithms for Robust Model Estimation
* 2016: Calibration, positioning and tracking in a refractive and reflective scene
* 2016: Fast Classification of Empty and Occupied Parking Spaces Using Integral Channel Features
* 2016: Recovering planar motion from homographies obtained using a 2.5-point solver for a polynomial system
* 2016: Transferring and Compressing Convolutional Neural Networks for Face Representations
* 2016: Trust No One: Low Rank Matrix Factorization Using Hierarchical RANSAC
* 2016: Uncovering Symmetries in Polynomial Systems
* 2017: Efficient Solvers for Minimal Problems by Syzygy-Based Reduction
* 2017: Improving a Real-Time Object Detector with Compact Temporal Information
* 2017: Misty Three Point Algorithm for Relative Pose, The
* 2017: Polynomial Solvers for Saturated Ideals
* 2018: Beyond Grobner Bases: Basis Selection for Minimal Solvers
* 2019: Efficient Merging of Maps and Detection of Changes
* 2019: Global Trifocal Adjustment
* 2021: Better Prior Knowledge Improves Human-Pose-Based Extrinsic Camera Calibration
* 2021: Calibration and Absolute Pose Estimation of Trinocular Linear Camera Array for Smart City Applications
* 2021: Efficient Real-Time Radial Distortion Correction for UAVs
* 2021: Generic Merging of Structure from Motion Maps with a Low Memory Footprint
* 2021: In Depth Bayesian Semantic Scene Completion
* 2021: Minimal Solvers for Indoor UAV Positioning
* 2021: Parameterization of Ambiguity in Monocular Depth Prediction
* 2021: Prediction of Obstructive Coronary Artery Disease from Myocardial Perfusion Scintigraphy using Deep Neural Networks
* 2022: Bootstrapped Representation Learning for Skeleton-Based Action Recognition
* 2022: Fast and efficient minimal solvers for quadric based camera pose estimation
* 2022: Joint Handwritten Text Recognition and Word Classification for Tabular Information Extraction
* 2022: Minimal Solvers for Point Cloud Matching with Statistical Deformations
* 2022: Semantic Room Wireframe Detection from a Single View
* 2022: Trust Your IMU: Consequences of Ignoring the IMU Drift
* 2023: Minimal Solutions to Generalized Three-View Relative Pose Problem
* 2023: Polygon Detection for Room Layout Estimation using Heterogeneous Graphs and Wireframes
* 2023: Revisiting the P3P Problem
* 2024: LidarCLIP or: How I Learned to Talk to Point Clouds
Includes: Astrom, K.[Kalle] Åström, K.[Kalle] Åström, K. Aström, K.[Kalle] (Maybe also Astroem, K.)Astrom, K. Åström, K.[Karl]
128 for Astrom, K.
Astrom, K.E.
* 1995: Motion from the Frontier of Curved Surfaces
Includes: Astrom, K.E. Åström, K.E.
Astrom, K.J.
* 1984: Optimal Digitization of 2-D Images
Astruc, J.P.
* 1994: Optimum Edge-Detection for Object-Background Picture
Astrup, B.S.[Birgitte Schmidt]
* 2017: Automated Detection and Categorization of Genital Injuries Using Digital Colposcopy
Astrup, P.[Poul]
* 2016: Quarter-Century Offshore Winds from SSM/I and WRF in the North Sea and South China Sea
Astrup, R.[Rasmus]
* 2013: Detection of Forest Clear-Cuts with Shuttle Radar Topography Mission (SRTM) and Tandem-X InSAR Data
* 2015: Temporal Stability of X-Band Single-Pass InSAR Heights in a Spruce Forest: Effects of Acquisition Properties and Season
* 2016: Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests
* 2019: Assessing Harvested Sites in a Forested Boreal Mountain Catchment through Global Forest Watch
* 2019: Combining MODIS and National Land Resource Products to Model Land Cover-Dependent Surface Albedo for Norway
* 2020: Estimation of Forest Growing Stock Volume with UAV Laser Scanning Data: Can It Be Done without Field Data?
* 2022: UAV-Based Hyperspectral Imagery for Detection of Root, Butt, and Stem Rot in Norway Spruce
* 2023: Point2Tree(P2T): Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest
Includes: Astrup, R.[Rasmus] Astrup, R.
8 for Astrup, R.