Polec, J.
* 2001: Generalised Interpolation of Segmented Images Using Shape-Independent Orthogonal Transforms
* 2002: New Scheme for Region Approximation and Coding With Shape Independent Transform
* 2008: Correlation optimized scanning of segmented images
* 2008: New objective criterion for error evaluation of video object contour
* 2010: Error Concealment Method Selection in Texture Images Using Advanced Local Binary Patterns Classifier
* 2010: Video Analysis Based on Mutual Information
* 2016: Binary error models for Wireless Sensor Networks
* 2016: Texture aware image error concealment with fuzzy segmentation
Includes: Polec, J. Polec, J.[Jaroslav]
8 for Polec, J.
Poleg, Y.[Yair]
* 2011: Snap Image Composition
* 2012: Alignment and mosaicing of non-overlapping images
* 2013: Efficient representation of distributions for background subtraction
* 2014: Head Motion Signatures from Egocentric Videos
* 2014: Temporal Segmentation of Egocentric Videos
* 2015: EgoSampling: Fast-forward and stereo for egocentric videos
* 2016: Compact CNN for indexing egocentric videos
* 2018: EgoSampling: Wide View Hyperlapse From Egocentric Videos
Includes: Poleg, Y.[Yair] Poleg, Y.
8 for Poleg, Y.
Polehampton, E.[Edward]
* 2020: Comparison of the Sentinel-3A and B SLSTR Tandem Phase Data Using Metrological Principles
* 2020: Sentinel-3A/B SLSTR Pre-Launch Calibration of the Thermal InfraRed Channels
* 2021: Traceability of the Sentinel-3 SLSTR Level-1 Infrared Radiometric Processing
Includes: Polehampton, E.[Edward] Polehampton, E.[Ed]
Polejaeva, I.A.[Irina A.]
* 2019: Towards Automated Quantification of Atrial Fibrosis in Images from Catheterized Fiber-Optics Confocal Microscopy Using Convolutional Neural Networks
Polemi, D.[Despina]
* 2004: Application of Multi-criteria Analysis for the Creation of a Risk Assessment Knowledgebase for Biometric Systems
Polenta, G.
* 2023: CAESAR Project for the ASI Space Weather Infrastructure, The
Poles, I.[Isabella]
* 2024: Repurposing the Image Generative Potential: Exploiting GANs to Grade Diabetic Retinopathy
* 2025: Multiscale Attention-Based Deep Learning Method for DCE-MRI Breast Tumor Segmentation, A
Polese, G.
* 1998: FIRST: Fractal Indexing and Retrieval System for Image Databases
* 1999: development of hierarchical visual languages, The
* 1999: virtual reality environment for Web browsing, A
* 2020: Multi Classifier Approach for Supporting Alzheimer's Diagnosis Based on Handwriting Analysis, A
Includes: Polese, G. Polese, G.[Giuseppe]
Polesel, A.
* 1997: Adaptive Unsharp Masking for Contrast Enhancement
* 1998: Rational Unsharp Masking Technique
* 2000: Image Enhancement via Adaptive Unsharp Masking
Poleski, M.[Mateusz]
* 2025: GeoGuide: Geometric Guidance of Diffusion Models
Poleswki, P.
* 2016: Classification Of Urban Aerial Data Based On Pixel Labelling With Deep Convolutional Neural Networks And Logistic Regression
Poletaev, V.
* 2020: Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors
Polette, A.
* 2014: Comparison of quasi-spherical surfaces using spherical harmonics: Application to corneal biometry
* 2014: Construction of a Mean Surface for the Variability Study of the Cornea
* 2016: Comparison of quasi-spherical surfaces: Application to corneal biometry
* 2017: Efficient multimodal ocular biometric system for person authentication based on iris texture and corneal shape
Includes: Polette, A. Polette, A.[Arnaud]
Poletti, F.[Flavio]
* 2017: Public Transit Route Mapping for Large-Scale Multimodal Networks
Poletti, G.[Giovanni]
* 2017: Automatic ear detection and feature extraction using Geometric Morphometrics and convolutional neural networks
Poletti, M.
* 2013: 3D Solarweb: A solar cadaster in the Italian Alpine landscape
Poletti, M.A.
* 2015: Personal Sound Zones: Delivering interface-free audio to multiple listeners
Poletti, P.A.[Pierre Alexandre]
* 2016: Lung Graph-Model for Pulmonary Hypertension and Pulmonary Embolism Detection on DECT Images, A
* 2017: 3D Solid Texture Classification Using Locally-Oriented Wavelet Transforms
Includes: Poletti, P.A.[Pierre Alexandre] Poletti, P.A.[Pierre-Alexandre] Poletti, P.A.
Poletti, S.J.[Sylvie Jasmine]
* 2013: SDALF+C: Augmenting the SDALF Descriptor by Relation-Based Information for Multi-shot Re-identification
Poletto, L.
* 2006: Range Camera Collecting Multi-Spectral Texture for Architecture Applications, A
* 2006: System for 3D Modeling Frescoed Historical Buildings with Multispectral Texture Information, A
* 2009: Multispectral Acquisition of Large-Sized Pictorial Surfaces
Includes: Poletto, L. Poletto, L.[Luca]
Polewski, P.[Przemyslaw]
* 2015: Active learning approach to detecting standing dead trees from ALS point clouds combined with aerial infrared imagery
* 2015: Detection of fallen trees in ALS point clouds using a Normalized Cut approach trained by simulation
* 2017: voting-based statistical cylinder detection framework applied to fallen tree mapping in terrestrial laser scanning point clouds, A
* 2018: Adaptive stopping criterion for top-down segmentation of ALS point clouds in temperate coniferous forests
* 2018: Learning a constrained conditional random field for enhanced segmentation of fallen trees in ALS point clouds
* 2018: Mapping Individual Tree Species and Vitality along Urban Road Corridors with LiDAR and Imaging Sensors: Point Density versus View Perspective
* 2019: Marker-free coregistration of UAV and backpack LiDAR point clouds in forested areas
* 2019: Scale invariant line-based co-registration of multimodal aerial data using L1 minimization of spatial and angular deviations
* 2019: Vertical Orientation Correction of UAV Image-based Point Clouds Using Statistical Modeling of Gable Roof Geometry
* 2020: Segmentation of Single Standing Dead Trees In High-resolution Aerial Imagery with Generative Adversarial Network-based Shape Priors
* 2021: Instance segmentation of fallen trees in aerial color infrared imagery using active multi-contour evolution with fully convolutional network-based intensity priors
Includes: Polewski, P.[Przemyslaw] Polewski, P.
11 for Polewski, P.
Poley, A.[Andrew]
* 2019: Regional Scale Dryland Vegetation Classification with an Integrated Lidar-Hyperspectral Approach
* 2021: Using Uncrewed Aerial Vehicles for Identifying the Extent of Invasive Phragmites australis in Treatment Areas Enrolled in an Adaptive Management Program
Poley, L.G.[Lucy G.]
* 2020: Quantifying Aboveground Biomass of Shrubs Using Spectral and Structural Metrics Derived from UAS Imagery
* 2020: Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground Biomass Using Unmanned Aerial Systems, A