Leitao da Cunha, I.L.[Icaro Lins]
* 2017: Kinetic depth images: flexible generation of depth perception
Includes: Leitao da Cunha, I.L.[Icaro Lins] Leitão da Cunha, Í.L.[Ícaro Lins]
Leitao, A.[Antonio]
* 2009: On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems
Includes: Leitao, A.[Antonio] Leitão, A.[Antonio]
Leitao, A.P.
* 2003: Detecting and Classifying Road Turn Directions from a Sequence of Images
Includes: Leitao, A.P. Leitão, A.P.
Leitao, H.C.G.[Helena C.G.]
* 2007: novel approach to photometric motion, A
Includes: Leitao, H.C.G.[Helena C.G.] Leitão, H.C.G.[Helena C.G.]
Leitao, J.M.N.
* 1992: Bayesian Estimation of Ventricular Contours in Angiographic Images
* 1992: Use of stochastic grammars for hypnogram analysis
* 1993: Simulated Tearing: An Algorithm for Discontinuity-Preserving Visual Surface Reconstruction
* 1994: Adaptive discontinuity location in image restoration
* 1994: Sequential and Parallel Image Restoration: Neural Network Implementations
* 1994: Solomonoff coding as a means of introducing prior information in syntactic pattern recognition
* 1995: Interferometric image reconstruction as a nonlinear Bayesian estimation problem
* 1996: Minimum Code Length Technique for Clustering of Syntactic Patterns, A
* 1996: Unsupervised contour estimation
* 1996: Wall position and thickness estimation from sequences of echocardiographic images
* 1997: Adaptive B-Splines and Boundary Estimation
* 1997: Unsupervised Image Restoration and Edge Location Using Compound Gauss-Markov Random-Fields and the MDL Principle
* 1998: Absolute Phase Image-Reconstruction: A Stochastic Nonlinear Filtering Approach
* 1998: Adaptive restoration of speckled SAR images using a compound random Markov field
* 2000: Clustering Under a Hypothesis of Smooth Dissimilarity Increments
* 2000: Unsupervised Contour Representation and Estimation Using B-Splines and a Minimum Description Length Criterion
* 2001: Discrete/Continuous Minimization Method in Interferometric Image Processing, A
* 2002: Z pi M algorithm: A Method for Interferometric Image Reconstruction in SAR/SAS, The
* 2003: new cluster isolation criterion based on dissimilarity increments, A
Includes: Leitao, J.M.N. Leitão, J.M.N. Leitão, J.M.N.[José M.N.]
19 for Leitao, J.M.N.
Leitao, J.P.[Joao P.]
* 2018: Sewer Inlet Localization in UAV Image Clouds: Improving Performance with Multiview Detection
* 2020: Water level prediction from social media images with a multi-task ranking approach
Includes: Leitao, J.P.[Joao P.] Leitão, J.P.[João P.] Leitão, J.P.
Leitao, P.J.[Pedro J.]
* 2014: Estimating Fractional Shrub Cover Using Simulated EnMAP Data: A Comparison of Three Machine Learning Regression Techniques
* 2015: EnMAP Spaceborne Imaging Spectroscopy Mission for Earth Observation, The
* 2015: EnMAP-Box: A Toolbox and Application Programming Interface for EnMAP Data Processing, The
* 2015: Monitoring Natural Ecosystem and Ecological Gradients: Perspectives with EnMAP
* 2015: Using Class Probabilities to Map Gradual Transitions in Shrub Vegetation from Simulated EnMAP Data
* 2017: sgdm: An R Package for Performing Sparse Generalized Dissimilarity Modelling with Tools for gdm
Includes: Leitao, P.J.[Pedro J.] Leitão, P.J.[Pedro J.]
Leite, A.[Argentina]
* 2018: Deep Learning Approach for Red Lesions Detection in Video Capsule Endoscopies, A
Leite, D.[Daniel]
* 2011: Myocardial Perfusion Analysis from Adenosine-Induced Stress MDCT
* 2019: Evolvable fuzzy systems from data streams with missing values: With application to temporal pattern recognition and cryptocurrency prediction
* 2019: hybrid feature space from texture information and transfer learning for glaucoma classification, An
Leite, F.S.[Fatima Silva]
* 2013: Rolling Riemannian Manifolds to Solve the Multi-class Classification Problem
Leite, G.A.[Gabriel Augusto]
* 2022: Passive Acoustic Monitoring as a Tool to Investigate the Spatial Distribution of Invasive Alien Species
Leite, H.G.[Helio Garcia]
* 2019: Management Recommendation Generation for Areas Under Forest Restoration Process through Images Obtained by UAV and LiDAR
* 2019: Multi-sensor prediction of Eucalyptus stand volume: A support vector approach
* 2020: Estimating Stem Volume in Eucalyptus Plantations Using Airborne LiDAR: A Comparison of Area- and Individual Tree-Based Approaches
* 2020: Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models
Includes: Leite, H.G.[Helio Garcia] Leite, H.G.[Hélio Garcia]
Leite, I.[Iolanda]
* 2019: Exploring Temporal Dependencies in Multimodal Referring Expressions with Mixed Reality
* 2021: Individual Tree Detection and Qualitative Inventory of a Eucalyptus sp. Stand Using UAV Photogrammetry Data
Includes: Leite, I.[Iolanda] Leite, I.[Igor]
Leite, J.[Jeronimo]
* 2000: Architecture for Content-Based Retrieval of Remote Sensing Images, An
Leite, J.A.F.[Jose A. F.]
* 1995: linear discriminator of width, A
* 1996: Iterative Spline Relaxation with the EM Algorithm
* 1997: Iterative Curve Organization with the EM Algorithm
Includes: Leite, J.A.F.[Jose A. F.] Leite, J.A.F.[José A. F.] Leite, J.A.F.
Leite, N.J.[Neucimar J.]
* 1992: parallel image processing language based on computational models, A
* 1994: highly reconfigurable neighborhood image processor based on functional programming, A
* 1996: Segmentation of nautical chart components using mathematical morphology
* 1996: SIMD parallel algorithm for classifying binary image contours based on mathematical morphology, An
* 1999: Monoto nicity-preserving Operations and the Morphological Scale-Space Method for Image Segmentation
* 2001: Morphological Residues and a General Framework for Image Filtering and Segmentation
* 2002: Video fade detection by discrete line identification
* 2003: approach to detect video transitions based on mathematical morphology, An
* 2003: Video segmentation based on 2D image analysis
* 2004: Tracking soccer players using the graph representation
* 2005: Tracking soccer players aiming their kinematical motion analysis
* 2006: Background recovering in outdoor image sequences: An example of soccer players segmentation
* 2007: Rotation-Invariant Texture Recognition
* 2008: multiscale directional operator and morphological tools for reconnecting broken ridges in fingerprint images, A
* 2008: Multiscale Morphological Image Simplification
* 2009: AffTrack: Robust tracking of features in variable-zoom videos
* 2009: Fast and Robust Object Tracking Using Image Foresting Transform
* 2009: Novel Approaches for Exclusive and Continuous Fingerprint Classification
* 2009: Robust Estimation of Camera Motion Using Optical Flow Models
* 2011: Comparison of video sequences with histograms of motion patterns
* 2011: Fast Rotation-Invariant Video Caption Detection Based on Visual Rhythm
* 2011: Rapid Cut Detection on Compressed Video
* 2011: Snoopertrack: Text detection and tracking for outdoor videos
* 2011: Text detection and recognition in urban scenes
* 2011: Unsupervised Fingerprint Segmentation Based on Multiscale Directional Information
* 2012: IFTrace: Video segmentation of deformable objects using the Image Foresting Transform
* 2012: VISON: VIdeo Summarization for ONline applications
* 2013: From Extrema Relationships to Image Simplification Using Non-flat Structuring Functions
* 2013: On Adaptive Fingerprint Pore Extraction
* 2013: Online video summarization on compressed domain
* 2013: Scale-Space Toggle Operator for Image Transformations, A
* 2013: Self-Dual Filtering Toggle Operator for Speckle Noise Filtering, A
* 2013: T-HOG: An effective gradient-based descriptor for single line text regions
* 2014: Improving pore extraction in high resolution fingerprint images using spatial analysis
* 2014: SnooperText: A text detection system for automatic indexing of urban scenes
* 2017: New Framework for Quality Assessment of High-Resolution Fingerprint Images, A
Includes: Leite, N.J.[Neucimar J.] Leite, N.J. Leite, N.J.[Neucimar Jerônimo] Leite, N.J.[Neucimar Jeronimo] Leite, N.J.[Neucimar JerÔnimo]
36 for Leite, N.J.
Leite, P.B.C.[Paula Beatriz Cerqueira]
* 2010: Hidden Markov Models for crop recognition in remote sensing image sequences
Leite, P.N.[Pedro Nuno]
* 2020: Dense Disparity Maps from RGB and Sparse Depth Information Using Deep Regression Models
Leite, R.V.[Rodrigo Vieira]
* 2020: Estimating Stem Volume in Eucalyptus Plantations Using Airborne LiDAR: A Comparison of Area- and Individual Tree-Based Approaches
* 2020: Individual Tree Attribute Estimation and Uniformity Assessment in Fast-Growing Eucalyptus spp. Forest Plantations Using Lidar and Linear Mixed-Effects Models
* 2021: UAV-Supported Forest Regeneration: Current Trends, Challenges and Implications
* 2022: Analyzing Canopy Height Patterns and Environmental Landscape Drivers in Tropical Forests Using NASA's GEDI Spaceborne LiDAR
* 2023: Crown-Level Structure and Fuel Load Characterization from Airborne and Terrestrial Laser Scanning in a Longleaf Pine (Pinus palustris Mill.) Forest Ecosystem
Includes: Leite, R.V.[Rodrigo Vieira] Leite, R.V.[Rodrigo V.]
Leite, S.C.[Saul C.]
* 2013: Online algorithm based on support vectors for orthogonal regression
Leiterer, R.
* 2013: Mapping Forest Species Composition Using Imaging Spectrometry and Airborne Laser Scanner Data
* 2013: Operational forest structure monitoring using airborne laser scanning
Includes: Leiterer, R. Leiterer, R.[Reik]
Leitgeb, I.J.
* 1992: Combining pyramidal and fractal image coding
Leitgeb, R.[Rainer]
* 2023: Subaperture-Based Digital Aberration Correction for Optical Coherence Tomography: A Novel Mathematical Approach
Leitgeb, R.A.
* 2023: Ultra-Widefield OCT Angiography
Leitgeb, S.[Simon]
* 2020: Prediction of Yield Productivity Zones from Landsat 8 and Sentinel-2A/B and Their Evaluation Using Farm Machinery Measurements
Includes: Leitgeb, S.[Simon] Leitgeb, Š.[Šimon]
Leith, A.[Alex]
* 2022: Operational Analysis Ready Radar Backscatter Dataset for the African Continent, An
Leith, E.N.
* 1960: Optical Data Processing and Filtering Systems
Leithy, A.[Alaa]
* 2010: Cascade of Complementary Features for Fast and Accurate Pedestrian Detection
* 2010: Fast and Accurate Pedestrian Detection Using a Cascade of Multiple Features
Leitinger, E.
* 2016: High-Accuracy Localization for Assisted Living: 5G systems will turn multipath channels from foe to friend
Leitl, P.
* 2019: Damage Estimation of Explosions in Urban Environments By Simulation
Leitloff, J.[Jens]
* 2005: Automatic Vehicle Detection in Space Images Supported by Digital Map Data
* 2006: Automatic Vehicle Detection in Satellite Images
* 2007: Inferring Traffic Activity from Optical Satellite Images
* 2009: Near real time airborne monitoring system for disaster and traffic applications
* 2009: Traffic Monitoring without Single Car Detection from Optical Airborne Images
* 2010: Automatic vehicle detection in aerial image sequences of urban areas using 3D HoG features
* 2010: Efficient image data processing based on an airborne distributed system architecture
* 2010: Vehicle Detection in Very High Resolution Satellite Images of City Areas
* 2011: Evaluation of selected features for car detection in aerial images
* 2011: Region Based Forest Change Detection from CARTOSAT-1 Stereo Imagery
* 2012: 3d Classification Of Crossroads From Multiple Aerial Images Using Markov Random Fields
* 2012: Fusing Passive And Active Sensed Images To Gain Infrared-Textured 3D Models
* 2012: Low-cost optical Camera Systems for real-time Mapping Applications
* 2014: Operational System for Estimating Road Traffic Information from Aerial Images, An
* 2015: Improved wide-angle, fisheye and omnidirectional camera calibration
* 2017: MultiCol Bundle Adjustment: A Generic Method for Pose Estimation, Simultaneous Self-Calibration and Reconstruction for Arbitrary Multi-Camera Systems
* 2021: Review on Convolutional Neural Networks (CNN) in vegetation remote sensing
Includes: Leitloff, J.[Jens] Leitloff, J.
17 for Leitloff, J.
Leitner, F.[Francois]
* 2011: Computer-Assisted Intramedullary Nailing Using Real-Time Bone Detection in 2D Ultrasound Images
* 2020: Prediction of Yield Productivity Zones from Landsat 8 and Sentinel-2A/B and Their Evaluation Using Farm Machinery Measurements
Includes: Leitner, F.[Francois] Leitner, F.[François] Leitner, F.[Filip]
Leitner, J.
* 2017: Richardson-Lucy Deblurring for Moving Light Field Cameras
* 2017: Tuning Modular Networks with Weighted Losses for Hand-Eye Coordination
* 2020: Special Issue on Deep Learning for Robotic Vision
* 2022: Integrating High-Resolution Tactile Sensing into Grasp Stability Prediction
Includes: Leitner, J. Leitner, J.[Jürgen]
Leitner, M.[Michael]
* 2014: Accurate and automated image segmentation of 3D optical coherence tomography data suffering from low signal-to-noise levels
* 2015: Defining a Threshold Value for Maximum Spatial Information Loss of Masked Geo-Data
* 2017: Evaluating the Impact the Weekday Has on Near-Repeat Victimization: A Spatio-Temporal Analysis of Street Robberies in the City of Vienna, Austria
* 2017: Framework for Evaluating Stay Detection Approaches, A
* 2017: Frontiers in Spatial and Spatiotemporal Crime Analytics: An Editorial
* 2017: Land Use Influencing the Spatial Distribution of Urban Crime: A Case Study of Szczecin, Poland
* 2018: Estimating the Spatial Distribution of Crime Events around a Football Stadium from Georeferenced Tweets
* 2018: Identification of Experimental and Control Areas for CCTV Effectiveness Assessment: The Issue of Spatially Aggregated Data
* 2020: Evaluating Temporal Approximation Methods Using Burglary Data
* 2020: Urban Crime Mapping and Analysis Using GIS
* 2023: Multiscale Analysis of Spatial Accessibility to Acute Hospitals in Carinthia, Austria
11 for Leitner, M.
Leitner, P.
* 2013: Animal recognition in the Mojave Desert: Vision tools for field biologists
Leitner, R.
* 2003: Real-time classification of polymers with NIR spectral imaging and blob analysis
* 2005: Recognition of 3D Objects by Learning from Correspondences in a Sequence of Unlabeled Training Images
* 2006: study on design of object sorting algorithms in the industrial application using hyperspectral imaging, A
* 2007: Learning 3D Object Recognition from an Unlabelled and Unordered Training Set
* 2009: Clustering Based Method for Edge Detection in Hyperspectral Images, A
* 2011: SEDMI: Saliency based edge detection in multispectral images
* 2012: Training data selection for cancer detection in multispectral endoscopy images
* 2013: Multi-spectral video endoscopy system for the detection of cancerous tissue
Includes: Leitner, R. Leitner, R.[Raimund]
8 for Leitner, R.
Leitner, S.
* 2022: new East African satellite data validation station: Performance of the LSA-SAF all-weather land surface temperature product over a savannah biome, A
Leitner, T.
* 2014: SCoRS: A Method Based on Stability for Feature Selection and Apping in Neuroimaging
* 2014: SCoRS: A Method Based on Stability for Feature Selection and Apping in Neuroimaging
Leitte, H.[Heike]
* 2012: Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness, A
* 2018: Visualization of Parameter Sensitivity of 2D Time-Dependent Flow