Krug, M.[Marjolaine]
* 2021: Satellite Sea Surface Temperature Product Comparison for the Southern African Marine Region
Krug, S.E.[Sarah E.]
* 2017: Digital phase correction of a partially coherent sparse aperture system
Kruger, A.[Antonio]
* 2009: Graph-Based Registration of Partial Images of City Maps Using Geometric Hashing
* 2011: Graph-based markerless registration of city maps using geometric hashing
* 2012: Building Analysis For Urban Energy Planning Using Key Indicators On Virtual 3d City Models: The Energy Atlas Of Berlin
* 2012: Integrating GI with non-GI services: showcasing interoperability in a heterogeneous service-oriented architecture
* 2016: Continuous Representation of Ad Hoc Ridesharing Potential, A
Includes: Kruger, A.[Antonio] Krüger, A.[Antonio] (Maybe also Krueger, A.)Krüger, A. (Maybe also Krueger, A.)
Kruger, B.[Bjorn]
* 2015: Efficient multi-constrained optimization for example-based synthesis
* 2016: Dual-Source Approach for 3D Pose Estimation from a Single Image, A
* 2017: Efficient Unsupervised Temporal Segmentation of Motion Data
* 2018: dual-source approach for 3D human pose estimation from single images, A
Includes: Kruger, B.[Bjorn] Krüger, B.[Björn] (Maybe also Krueger, B.)
Kruger, C.[Christof]
* 2010: Improving person detection using synthetic training data
Kruger, D.[Daniela]
* 2008: Location-Free Object Tracking on Graph Structures
Includes: Kruger, D.[Daniela] Krüger, D.[Daniela] (Maybe also Krueger, D.)
Kruger, F.[Florian]
* 2021: Temporal Extension for Encoder-Decoder-based Crowd Counting Approaches
Includes: Kruger, F.[Florian] Krüger, F.[Florian] (Maybe also Krueger, F.)
Kruger, H.P.
* 2011: Semi-autonomous advanced parking assistants: do they really have to be learned if steering is automated?
Includes: Kruger, H.P. Krüger, H.P. (Maybe also Krueger, H.P.)
Kruger, J.[Jorg]
* 2008: Incident light related distance error study and calibration of the PMD-range imaging camera
* 2008: Segmentation of 3D points from range camera data using scanlines
* 2009: Shape from Shading Using Probability Functions and Belief Propagation
* 2010: Contour Matching Algorithm to Reconstruct Ruptured Documents, A
* 2012: Can Modern Technologies Defeat Nazi Censorship?
* 2015: Probabilistic Appearance Models for Segmentation and Classification
* 2019: Development of a Fire Detection Based on the Analysis of Video Data by Means of Convolutional Neural Networks
* 2019: Point Pair Feature Matching: Evaluating Methods to Detect Simple Shapes
* 2020: Registration with probabilistic correspondences: Accurate and robust registration for pathological and inhomogeneous medical data
Includes: Kruger, J.[Jorg] Kruger, J. Krüger, J.[Jörg] (Maybe also Krueger, J.)Kruger, J.[Julia] Krüger, J.[Julia] (Maybe also Krueger, J.)
9 for Kruger, J.
Kruger, J.M.[Juliane M.]
* 2013: Stain unmixing in brightfield multiplexed immunohistochemistry
Kruger, L.[Lars]
* 2004: Feature and Viewpoint Selection for Industrial Car Assembly
* 2004: Training of classifiers using virtual samples only
* 2005: Versatile Model-Based Visibility Measure for Geometric Primitives, A
* 2006: Monocular 3D Scene Reconstruction at Absolute Scales by Combination of Geometric and Real-Aperture Methods
* 2007: Tracking of Human Body Parts using the Multiocular Contracting Curve Density Algorithm
* 2008: 3D Action Recognition and Long-Term Prediction of Human Motion
* 2008: Spatio-temporal 3D pose estimation and tracking of human body parts using the Shape Flow algorithm
* 2009: Monocular 3D scene reconstruction at absolute scale
* 2010: Towards Real Time Camera Self Calibration: Significance and Active Selection
* 2011: Accurate chequerboard corner localisation for camera calibration
* 2011: Evaluation on Estimators for Stochastic and Heuristic Based Cost Functions Using the Epipolar-Constraint, An
* 2012: Globally optimal hand-eye calibration
* 2016: 3D Shape Reconstruction in Traffic Scenarios Using Monocular Camera and Lidar
Includes: Kruger, L.[Lars] Krüger, L.[Lars] (Maybe also Krueger, L.)Kruger, L.
13 for Kruger, L.
Kruger, N.
* 1996: Estimation of Face Position and Pose with Labeled Graphs
* 1997: Algorithm for the Learning of Weights in Discrimination Functions Using a Priori Constraints, An
* 1997: Determination of Face Position and Pose with a Learned Representation Based on Labeled Graphs
* 1997: Face Recognition by Elastic Bunch Graph Matching
* 1997: Face Recognition by Elastic Bunch Graph Matching
* 1997: Face Recognition by Elastic Bunch Graph Matching
* 1997: Face Recognition by Elastic Bunch Graph Matching
* 1998: Orassyll: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Local Line Detectors
* 1999: Object Recognition with Representations Based on Sparsified Gabor Wavelets used as Local Line Detectors
* 2000: ORASSYLL: Object Recognition with Autonomously Learned and Sparse Symbolic Representations Based on Metrically Organized Local Line Detectors
* 2002: Extraction of Object Representations from Stereo Image Sequences Utilizing Statistical and Deterministic Regularities in Visual Data
* 2002: Statistics of Second Order Multi-modal Feature Events and Their Exploitation in Biological and Artificial Visual Systems
* 2003: Multi-Modal Matching Applied to Stereo
* 2003: Probabilistic Definition of Intrinsic Dimensionality for Images, A
* 2004: explicit and compact coding of geometric and structural image information applied to stereo processing, An
* 2006: Multi-modal Scene Reconstruction using Perceptual Grouping Constraints
* 2006: Statistical Analysis of Local 3D Structure in 2D Images
* 2007: ECOVISION: Challenges in Early-Cognitive Vision
* 2007: Scene Representation Based on Multi-Modal 2D and 3D Features, A
* 2007: Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation
* 2008: Semantic Reasoning for Scene Interpretation
* 2009: Bayesian Classification of Image Structures
* 2009: Continuous dimensionality characterization of image structures
* 2009: Learning Objects and Grasp Affordances through Autonomous Exploration
* 2009: Spatial-Temporal Junction Extraction and Semantic Interpretation
* 2010: compact harmonic code for early vision based on anisotropic frequency channels, A
* 2010: two-level real-time vision machine combining coarse- and fine-grained parallelism, A
* 2010: Using multi-modal 3D contours and their relations for vision and robotics
* 2011: Accumulation of Different Visual Feature Descriptors in a Coherent Framework
* 2011: Driving School System: Learning Basic Driving Skills From a Teacher in a Real Car, The
* 2011: Temporal accumulation of oriented visual features
* 2012: Disparity disambiguation by fusion of signal- and symbolic-level information
* 2013: Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision?
* 2014: In Search of Inliers: 3D Correspondence by Local and Global Voting
* 2014: Indoor Objects and Outdoor Urban Scenes Recognition by 3D Visual Primitives
* 2015: Extracting Categories by Hierarchical Clustering Using Global Relational Features
* 2015: Object Detection Using a Combination of Multiple 3D Feature Descriptors
* 2015: Real-time extraction of surface patches with associated uncertainties by means of Kinect cameras
* 2015: Shape Dependency of ICP Pose Uncertainties in the Context of Pose Estimation Systems
* 2015: Teach it Yourself: Fast Modeling of Industrial Objects for 6D Pose Estimation
* 2015: Using surfaces and surface relations in an Early Cognitive Vision system
* 2016: Large-Scale 3D Object Recognition Dataset, A
* 2016: Stereo and Active-Sensor Data Fusion for Improved Stereo Block Matching
* 2018: performance evaluation of point pair features, A
* 2022: Integrating Semi-Supervised Learning with an Expert System for Vegetation Cover Classification Using Sentinel-2 and RapidEye Data
* 2023: Proactive Control for Online Individual User Adaptation in a Welfare Robot Guidance Scenario: Toward Supporting Elderly People
Includes: Kruger, N. Kruger, N.[Norbert] Krüger, N.[Norbert] (Maybe also Krueger, N.)Krüger, N. (Maybe also Krueger, N.)Krüger, N.[Nina] (Maybe also Krueger, N.)
46 for Kruger, N.
Kruger, R.P.
* 1971: Survey of Preprocessing and Feature Extraction Techniques for Radiographic Images, A
* 1972: Image Processing by Digital Computer
* 1974: Computer Diagnosis of Pneumoconiosis
* 1978: Comments on Nonstationary Assumptions for Gaussian Models of Images
* 1979: Imaging Applications for Automated Industrial Inspection and Assembly
* 1981: Technical and Economic Assessment of Computer Vision for Industrial Inspection and Robotic Assembly, A
Kruger, S.
* 1996: Multiresolution Frequency Domain Method for Estimating Affine Motion Parameters, A
* 1998: Image Registration using Multiresolution Frequency Domain Correlation
* 1998: Image sequence analysis and segmentation using G-blobs
* 1998: Motion estimation using adaptive correlation and local directional smoothing
* 2005: New Calibration Scheme For Panoramic Line Scanner
* 2021: Dynamic Imaging Using a Deep Generative SToRM (Gen-SToRM) Model
Includes: Kruger, S. Krüger, S. (Maybe also Krueger, S.)Kruger, S.[Stanley]
Kruger, S.E.[Sven E.]
* 2006: Hybrid HMM-Based Speech Recognizer Using Kernel-Based Discriminants as Acoustic Models, A
* 2006: Mixture of Support Vector Machines for HMM based Speech Recognition
* 2006: Speaker Identification and Verification Using Support Vector Machines and Sparse Kernel Logistic Regression
Includes: Kruger, S.E.[Sven E.] Krüger, S.E.[Sven E.] (Maybe also Krueger, S.E.)
Kruger, T.
* 2013: Martian Swarm Exploration and Mapping Using Laser SLAM
* 2013: Single-Layer Laser Scanner for Detection and Localization of Unmanned Swarm Members
* 2016: Measuring Land Take: Usability of National Topographic Databases as Input for Land Use Change Analysis: A Case Study from Germany
* 2016: Patient Registration Using Photogrammetric Surface Reconstruction From Smartphone Imagery
* 2016: Soil Sealing and the Complex Bundle of Influential Factors: Germany as a Case Study
Includes: Kruger, T. Krüger, T. (Maybe also Krueger, T.)Krüger, T.[Tobias] (Maybe also Krueger, T.)
Kruger, U.
* 2008: Adaptive Constraint K-Segment Principal Curves for Intelligent Transportation Systems
* 2015: Semisupervised Pedestrian Counting With Temporal and Spatial Consistencies
* 2018: 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
* 2018: 3-D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning From a 2-D Trained Network
* 2019: Framework of Randomized Distribution Features for Visual Representation and Categorization
* 2020: Deep learning in medical image registration: a survey
Includes: Kruger, U. Kruger, U.[Uwe]
Kruger, V.[Volker]
* 1995: Optical flow computation in the log-polar plane
* 1999: Affine Real-Time Face Tracking Using a Wavelet Network
* 1999: Teleconferencing Using an Attentive Camera System
* 2000: Affine Real-time Face Tracking Using Gabor Wavelet Networks
* 2000: Efficient Head Pose Estimation with Gabor Wavelet Networks
* 2001: Gabor Wavelet Networks for Object Representation
* 2001: Gabor Wavelet Networks for Object Representation
* 2002: Appearance-Based 3-D Face Recognition from Video
* 2002: Exemplar-Based Face Recognition from Video
* 2002: Exemplar-Based Face Recognition from Video
* 2002: Face Recognition from Video: A Condensation Approach
* 2002: Gabor wavelet networks for efficient head pose estimation
* 2002: Gait-based recognition of humans using continuous HMMs
* 2002: Hierarchical wavelet networks for facial feature localization
* 2002: Wavelet networks for face processing
* 2003: Integrating Video Information over Time. Example: Face Recognition from Video
* 2004: Identification of Humans Using Gait
* 2005: Probabilistic Model-Based Background Subtraction
* 2005: Probabilistic Model-Based Background Subtraction
* 2006: Recognizing Action Primitives in Complex Actions Using Hidden Markov Models
* 2006: survey of advances in vision-based human motion capture and analysis, A
* 2007: Gradient-Enhanced Particle Filter for Vision-Based Motion Capture
* 2007: Single View Motion Tracking by Depth and Silhouette Information
* 2007: Using Hidden Markov Models for Recognizing Action Primitives in Complex Actions
* 2008: Parametric Hidden Markov Models for Recognition and Synthesis of Movements
* 2008: Recognition of Action as a Bayesian Parameter Estimation Problem over Time
* 2009: Comparison of Iterative 2D-3D Pose Estimation Methods for Real-Time Applications, A
* 2009: Primitive Based Action Representation and Recognition
* 2011: Iris recognition by fusing different representations of multi-scale Taylor expansion
* 2011: Visual Analysis of Humans: Looking at People
* 2013: Fast and Accurate Unknown Object Segmentation for Robotic Systems
* 2013: Tracking in object action space
* 2015: Comparative Evaluation of 3D Pose Estimation of Industrial Objects in RGB Pointclouds
* 2022: Innovative HMI and Control Concept for Efficient Thermal Management of Electric Vehicles
Includes: Kruger, V.[Volker] Krüger, V.[Volker] (Maybe also Krueger, V.)Kruger, V. Krüger, V. (Maybe also Krueger, V.)Krüger, V.[Vanessa] (Maybe also Krueger, V.)
34 for Kruger, V.
Kruger, W.[Wolfgang]
* 2001: Robust and efficient map-to-image registration with line segments
* 2012: Detection, Segmentation, and Tracking of Moving Objects in UAV Videos
* 2014: Evaluation of object segmentation to improve moving vehicle detection in aerial videos
* 2015: Robust and fast detection of moving vehicles in aerial videos using sliding windows
* 2016: Change Detection In UAV Video Mosaics Combining A Feature Based Approach And Extended Image Differencing
* 2021: Appearance and Motion Based Persistent Multiple Object Tracking in Wide Area Motion Imagery
* 2022: Usage of Vehicle Re-Identification Models for Improved Persistent Multiple Object Tracking in Wide Area Motion Imagery
Includes: Kruger, W.[Wolfgang] Krüger, W.[Wolfgang] (Maybe also Krueger, W.)
7 for Kruger, W.
Kruggel Emden, H.[Harald]
* 2019: Real-time multitarget tracking for sensor-based sorting
Includes: Kruggel Emden, H.[Harald] Kruggel-Emden, H.[Harald]
Kruggel, F.
* 1995: Automatical Adaptation of Anatomical Masks to the Neocortex
* 1995: Fast Segmentation of Brain Magnetic Resonance Tomograms
* 1996: Extracting Lines of Maximal Depth from MRI Images of the Human Brain
* 1998: Segmentation of MR-Images With Intensity Inhomogeneities
* 1998: Unsupervised Clustering Method Using the Entropy Minimization, An
* 1999: Markov Pixon Information Approach for Low-Level Image Description, A
* 2000: 3D MR Image Restoration by Combining Local Genetic Algorithm with Adaptive Pre-conditioning
* 2000: Probabilistic modeling of single-trial fMRI data
* 2001: Nonlinear regression analysis of the hemodynamic response in functional MRI
* 2001: Segmentation of large brain lesions
* 2001: Three-dimensional texture analysis of MRI brain datasets
* 2002: Computational cost of nonrigid registration algorithms based on fluid dynamics
* 2002: Segmentation of Vector Fields by Critical Point Analysis: Application to Brain Deformation
* 2002: Structural brain asymmetry as revealed by 3d texture analysis of anatomical MR images
* 2004: Object-Based Approach for Detecting Small Brain Lesions: Application to Virchow-Robin Spaces, An
* 2007: Optimization Algorithms for Labeling Brain Sulci Based on Graph Matching
* 2007: Texture Anisotropy of the Brain's White Matter as Revealed by Anatomical MRI
* 2010: White matter lesion segmentation based on feature joint occurrence probability and [chi]2 random field theory from magnetic resonance (MR) images
* 2011: Reproducing Kernel Hilbert Space Approach for Q-Ball Imaging, A
* 2018: Simple Measure for Acuity in Medical Images, A
Includes: Kruggel, F. Kruggel, F.[Frithjof]
20 for Kruggel, F.
Kruglov, A.V.
* 2016: Algorithm of the Roundwood Volume Measurement via Photogrammetry, The
Kruglov, S.K.
* 2018: Superresolution Contour Reconstruction Approach to a Linear Thermal Expansion Measurement