Index for falc

Falcao e Cunha, J. * 2016: Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation
* 2022: Anda: An Innovative Micro-Location Mobile Ticketing Solution Based on NFC and BLE Technologies
Includes: Falcao e Cunha, J. Falcão e Cunha, J.[João]

Falcao, A.X.[Alexandre X.] * 1998: User-Steered Image Segmentation Paradigms: Live Wire and Live Lane
* 2002: Fuzzy-connected 3D image segmentation at interactive speeds
* 2002: Multiscale skeletons by image foresting transform and its application to neuromorphometry
* 2003: Characterization of the Human Cortex in MR Images Through the Image Foresting Transform
* 2003: Multiscale skeletons by image foresting transform and its application to neuromorphometry
* 2004: graph-based approach for multiscale shape analysis, A
* 2004: Image Foresting Transform: Theory, Algorithms, and Applications, The
* 2004: Interactive Volume Segmentation With Differential Image Foresting Transforms
* 2004: Iso-Shaping Rigid Bodies for Estimating Their Motion From Image Sequences
* 2006: Linear-Time Approach for Image Segmentation Using Graph-Cut Measures, A
* 2007: Automatic Image Segmentation by Tree Pruning
* 2007: Contour salience descriptors for effective image retrieval and analysis
* 2007: Detecting Contour Saliences using Tensor Scale
* 2007: Rotation-Invariant Texture Recognition
* 2008: Discrete Approach for Supervised Pattern Recognition, A
* 2008: New Variant of the Optimum-Path Forest Classifier, A
* 2009: Data clustering as an optimum-path forest problem with applications in image analysis
* 2009: Fast and Robust Object Tracking Using Image Foresting Transform
* 2009: genetic programming framework for content-based image retrieval, A
* 2009: Infrared Face Recognition by Optimum-Path Forest
* 2009: Learning Algorithm for the Optimum-Path Forest Classifier, A
* 2009: Links Between Image Segmentation Based on Optimum-Path Forest and Minimum Cut in Graph
* 2009: Novel Approaches for Exclusive and Continuous Fingerprint Classification
* 2009: On the Training Patterns Pruning for Optimum-Path Forest
* 2009: Optimum-Path Forest-Based Rainfall Estimation
* 2009: Supervised pattern classification based on optimum-path forest
* 2010: 20th SIBGRAPI: Advances in Image Processing and Computer Vision
* 2010: Design of Pattern Classifiers Using Optimum-Path Forest with Applications in Image Analysis
* 2010: Fast Automatic Microstructural Segmentation of Ferrous Alloy Samples Using Optimum-Path Forest
* 2010: Improving the Accuracy of the Optimum-Path Forest Supervised Classifier for Large Datasets
* 2010: Optimizing Optimum-Path Forest Classification for Huge Datasets
* 2010: Shape feature extraction and description based on tensor scale
* 2010: Synergistic arc-weight estimation for interactive image segmentation using graphs
* 2011: Active Learning Paradigms for CBIR Systems Based on Optimum-Path Forest Classification
* 2011: Automatic subcortical tissue segmentation of MR images using optimum-path forest clustering
* 2011: Interactive Classification of Remote Sensing Images by Using Optimum-Path Forest and Genetic Programming
* 2011: Precipitates Segmentation from Scanning Electron Microscope Images through Machine Learning Techniques
* 2011: riverbed approach for user-steered image segmentation, The
* 2012: Brain tissue MR-image segmentation via optimum-path forest clustering
* 2012: Descriptor correlation analysis for remote sensing image multi-scale classification
* 2012: Efficient supervised optimum-path forest classification for large datasets
* 2012: Fuzzy Connectedness Image Segmentation in Graph Cut Formulation: A Linear-Time Algorithm and a Comparative Analysis
* 2012: IFTrace: Video segmentation of deformable objects using the Image Foresting Transform
* 2012: Image segmentation by combining the strengths of Relative Fuzzy Connectedness and Graph Cut
* 2012: Improving texture description in remote sensing image multi-scale classification tasks by using visual words
* 2012: Incorporating multiple distance spaces in optimum-path forest classification to improve feedback-based learning
* 2012: Multiscale Classification of Remote Sensing Images
* 2012: Person-Specific Subspace Analysis for Unconstrained Familiar Face Identification
* 2012: Riverbed: A Novel User-Steered Image Segmentation Method Based on Optimum Boundary Tracking
* 2012: Speeding up optimum-path forest training by path-cost propagation
* 2014: Active Semi-supervised Learning Using Optimum-Path Forest
* 2014: Improving Atlas-Based Medical Image Segmentation with a Relaxed Object Search
* 2014: On the Training of Artificial Neural Networks with Radial Basis Function Using Optimum-Path Forest Clustering
* 2014: path- and label-cost propagation approach to speedup the training of the optimum-path forest classifier, A
* 2014: Robot users for the evaluation of boundary-tracking approaches in interactive image segmentation
* 2014: Swarm-based Descriptor Combination and its Application for Image Classification
* 2014: Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest
* 2015: DROP: A Data Reduction and Organization Paradigm and its Application in Image Analysis
* 2015: Robust active learning for the diagnosis of parasites
* 2016: Improving semi-supervised learning through optimum connectivity
* 2017: Optimum-Path Forest based on k-connectivity: Theory and applications
* 2017: Supervoxel-Based Solution to Resume Segmentation for Interactive Correction by Differential Image-Foresting Transforms, A
* 2018: Path-Value Functions for Which Dijkstra's Algorithm Returns Optimal Mapping
* 2019: Correcting rural building annotations in OpenStreetMap using convolutional neural networks
* 2019: Iterative Spanning Forest Framework for Superpixel Segmentation, An
* 2019: Learning Visual Dictionaries from Class-Specific Superpixel Segmentation
* 2019: Role of Optimum Connectivity in Image Segmentation: Can the Algorithm Learn Object Information During the Process?, The
* 2020: extension of the differential image foresting transform and its application to superpixel generation, An
* 2020: Grabber: A tool to improve convergence in interactive image segmentation
* 2020: Hierarchical Learning Using Deep Optimum-Path Forest
* 2020: Image segmentation using dense and sparse hierarchies of superpixels
* 2020: Superpixel Segmentation Using Dynamic and Iterative Spanning Forest
* 2021: Convolutional neural network simplification with progressive retraining
* 2021: Semi-automatic data annotation guided by feature space projection
* 2022: Differential Dynamic Trees for Interactive Image Segmentation
* 2022: Rethinking interactive image segmentation: Feature space annotation
* 2023: Deep feature annotation by iterative meta-pseudo-labeling on 2D projections
* 2023: Graph-based Feature Learning from Image Markers
* 2023: Streaming Graph-based Supervoxel Computation Based on Dynamic Iterative Spanning Forest
Includes: Falcao, A.X.[Alexandre X.] Falcão, A.X.[Alexandre X.] Falcão, A.X. Falcao, A.X. Falcão, A.X.[Alexandre Xavier] Falcao, A.X.[Alexandre Xavier]
79 for Falcao, A.X.

Falcao, G. * 2013: Unsupervised Intrinsic Calibration from a Single Frame Using a Plumb-Line Approach
* 2016: Optimized fast Walsh-Hadamard transform on OpenCL-GPU and OpenCL-CPU
* 2016: Real-time HD image distortion correction in heterogeneous parallel computing systems using efficient memory access patterns
* 2017: Hybrid multi-GPU computing: accelerated kernels for segmentation and object detection with medical image processing applications
* 2019: Parallel refinement of slanted 3D reconstruction using dense stereo induced from symmetry
* 2021: Hyperspectral Parallel Image Compression on Edge GPUs
* 2022: Uncertainty Estimation via Monte Carlo Dropout in CNN-Based mmWave MIMO Localization
Includes: Falcao, G. Falcao, G.[Gabriel]
7 for Falcao, G.

Falchetti, S. * 2015: Tropical Cyclone Winds Retrieved From C-Band Cross-Polarized Synthetic Aperture Radar

Falchi, F.[Fabrizio] * 2011: Landmark recognition in VISITO: VIsual Support to Interactive TOurism in Tuscany
* 2017: Cross-Media Learning for Image Sentiment Analysis in the Wild
* 2018: Adversarial Examples Detection in Features Distance Spaces
* 2018: Learning Relationship-Aware Visual Features
* 2019: Evaluation of Continuous Image Features Learned by ODE Nets
* 2019: Exploiting CNN Layer Activations to Improve Adversarial Image Classification
* 2019: Hebbian Learning Meets Deep Convolutional Neural Networks
* 2019: Improving Multi-scale Face Recognition Using VGGFace2
* 2019: Learning Pedestrian Detection from Virtual Worlds
* 2019: VISIONE at VBS2019
* 2020: Cross-resolution face recognition adversarial attacks
* 2020: Cross-resolution learning for Face Recognition
* 2020: Defending Neural ODE Image Classifiers from Adversarial Attacks with Tolerance Randomization
* 2020: Learning visual features for relational CBIR
* 2021: Combining GANs and AutoEncoders for efficient anomaly detection
* 2021: Detection of Face Recognition Adversarial Attacks
* 2021: Solving the same-different task with convolutional neural networks
* 2021: Transformer Reasoning Network for Image-Text Matching and Retrieval
* 2021: Visione at Video Browser Showdown 2021
* 2022: Combining EfficientNet and Vision Transformers for Video Deepfake Detection
* 2022: MOBDrone: A Drone Video Dataset for Man OverBoard Rescue
* 2022: Recurrent Vision Transformer for Solving Visual Reasoning Problems
* 2022: Tuning Neural ODE Networks to Increase Adversarial Robustness in Image Forensics
* 2022: VISIONE at Video Browser Showdown 2022
* 2023: MC-GTA: A Synthetic Benchmark for Multi-camera Vehicle Tracking
* 2023: Optimized Pipeline for Image-based Localization in Museums from Egocentric Images, An
* 2023: VISIONE at Video Browser Showdown 2023
Includes: Falchi, F.[Fabrizio] Falchi, F.
27 for Falchi, F.

Falchini, M. * 2010: LoG Characteristic Scale: A Consistent Measurement of Lung Nodule Size in CT Imaging, The

Falciano, A.[Antonio] * 2022: Assessing Vegetation Decline Due to Pollution from Solid Waste Management by a Multitemporal Remote Sensing Approach

Falcidieno, B. * 1984: Edge-Face Graph Representations of Solid Objects
* 1985: Delaunay-Based Representation of Surfaces Defined over Arbitrarily Shaped Domains
* 1988: Hierarchical Boundary Model for Solid Object Representation, A
* 1989: Automatic Recognition and Representation of Shape-Based Features in a Geometric Modeling System
* 1989: Structured Graph Representation of a Hierarchical Triangulation
* 2007: Comparing Sets of 3D Digital Shapes Through Topological Structures
* 2008: Describing shapes by geometrical-topological properties of real functions
* 2008: Morphological Representations of Scalar Fields
* 2008: Size functions for comparing 3D models
* 2009: Critical Assessment of 2D and 3D Face Recognition Algorithms, A
* 2009: Flow Complexity: Fast Polytopal Graph Complexity and 3D Object Clustering
* 2009: Multilevel Relevance Feedback for 3D Shape Retrieval
* 2010: 3D relevance feedback via multilevel relevance judgements
* 2010: Fast Reject Schema For Part-In-Whole 3d Shape Matching, The
* 2010: Feature Selection For Enhanced Spectral Shape Comparison
* 2010: SHREC'10 Track: Feature Detection And Description
* 2010: SHREC'10 Track: Robust Shape Retrieval
* 2010: Thesaurus-based 3D Object Retrieval with Part-in-Whole Matching
* 2011: Part-in-whole 3D shape matching and docking
* 2011: Spectral feature selection for shape characterization and classification
* 2018: Recognition of feature curves on 3D shapes using an algebraic approach to Hough transforms
* 2020: Recognising decorations in archaeological finds through the analysis of characteristic curves on 3D models
Includes: Falcidieno, B. Falcidieno, B.[Bianca]
22 for Falcidieno, B.

Falcini, F.[Federico] * 2019: Synergy of Satellite Remote Sensing and Numerical Ocean Modelling for Coastal Geomorphology Diagnosis
* 2020: New Evidence of Mediterranean Climate Change and Variability from Sea Surface Temperature Observations
* 2021: Warm Arctic Proglacial Lakes in the ASTER Surface Temperature Product
Includes: Falcini, F.[Federico] Falcini, F.[Francesca]

Falcioni, R.[Renan] * 2022: VIS-NIR-SWIR Hyperspectroscopy Combined with Data Mining and Machine Learning for Classification of Predicted Chemometrics of Green Lettuce
* 2023: Assessment of Combined Reflectance, Transmittance, and Absorbance Hyperspectral Sensors for Prediction of Chlorophyll a Fluorescence Parameters

Falck, A.[Aline] * 2021: Assessing the Potential of Upcoming Satellite Altimeter Missions in Operational Flood Forecasting Systems

Falco, E.[Enzo] * 2021: Between Consultation and Collaboration: Self-Reported Objectives for 25 Web-Based Geoparticipation Projects in Urban Planning
* 2022: COVID-19 Crisis and the Case for Online GeoParticipation in Spatial Planning, The

Falco, G. * 2012: Iterative Smoother-Based Variance Estimation

Falco, L.[Luigi] * 2023: Contemporaneous Thick- and Thin-Skinned Seismotectonics in the External Zagros: The Case of the 2021 Fin Doublet, Iran

Falco, N.[Nicola] * 2015: Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions
* 2015: Spectral and Spatial Classification of Hyperspectral Images Based on ICA and Reduced Morphological Attribute Profiles
* 2017: Automatic Attribute Profiles
* 2020: Remote Sensing-Informed Zonation for Understanding Snow, Plant and Soil Moisture Dynamics within a Mountain Ecosystem
* 2022: Land Cover Change Detection With Heterogeneous Remote Sensing Images: Review, Progress, and Perspective
* 2022: Machine-Learning Functional Zonation Approach for Characterizing Terrestrial-Aquatic Interfaces: Application to Lake Erie
* 2023: Novel Land Cover Change Detection Deep Learning Framework with Very Small Initial Samples Using Heterogeneous Remote Sensing Images
Includes: Falco, N.[Nicola] Falco, N.
7 for Falco, N.

Falco, P. * 2014: Online Segmentation and Classification of Manipulation Actions From the Observation of Kinetostatic Data
* 2019: Analysis of Physical and Biogeochemical Control Mechanisms on Summertime Surface Carbonate System Variability in the Western Ross Sea (Antarctica) Using In Situ and Satellite Data
* 2019: Eddy Detection in HF Radar-Derived Surface Currents in the Gulf of Naples
* 2021: Connectivity Analysis Applied to Mesoscale Eddies in the Western Mediterranean Basin
* 2021: Wind Direction Data from a Coastal HF Radar System in the Gulf of Naples (Central Mediterranean Sea)
Includes: Falco, P. Falco, P.[Pierpaolo]

Falco, S. * 2020: ADAtools: Automatic Detection and Classification of Active Deformation Areas from PSI Displacement Maps

Falcolini, C. * 2013: From Point Clouds to Architectural Models: Algorithms for Shape Reconstruction

Falcon Martel, A. * 1999: Generic Model for Perception-Action Systems. Analysis of a Knowledge-Based Prototype, A
* 2005: Multiple Face Detection at Different Resolutions for Perceptual User Interfaces
* 2007: Learning to Recognize Faces Incrementally
Includes: Falcon Martel, A. Falcón-Martel, A. Falcón-Martel, A.[Antonio]

Falcon Morales, L.E.[Luis E.] * 2008: Radon transform and Conformal Geometric Algebra with lines
* 2014: Pattern Analysis in DNA Microarray Data through PCA-Based Gene Selection
* 2015: Modified Binary Inertial Particle Swarm Optimization for Gene Selection in DNA Microarray Data
* 2016: Automatic Construction of Radial-Basis Function Networks Through an Adaptive Partition Algorithm
Includes: Falcon Morales, L.E.[Luis E.] Falcon-Morales, L.E.[Luis E.]

Falcon Ruiz, A.[Alexander] * 2010: Quality Analysis on JPEG 2000 Compressed Leukocyte Images by Means of Segmentation Algorithms, A
Includes: Falcon Ruiz, A.[Alexander] Falcón-Ruiz, A.[Alexander]

Falcon, A. * 2004: Useful Computer Vision Techniques for Human-Robot Interaction
* 2022: Learning Video Retrieval Models with Relevance-Aware Online Mining
* 2023: FArMARe: a Furniture-Aware Multi-task methodology for Recommending Apartments based on the user interests
* 2023: Time-aware Circulant Matrices for Question-based Temporal Localization
Includes: Falcon, A. Falcon, A.[Alex]

Falcon, L.[Lucy] * 2023: Validation of Landsat-9 and Landsat-8 Surface Temperature and Reflectance during the Underfly Event

Falcon, L.E.[Luis Eduardo] * 2007: Radon Transform and Harmonical Analysis Using Lines for 3D Rotation Estimation without Correpondences from Omnidirectional Vision
* 2015: Classification of Hand Movements from Non-invasive Brain Signals Using Lattice Neural Networks with Dendritic Processing

Falcon, R.[Rafael] * 2007: Application of Bayesian Network for Fuzzy Rule-Based Video Deinterlacing
* 2008: Feature Selection through Dynamic Mesh Optimization
* 2018: Computational Model of Multi-scale Spatiotemporal Attention in Video Data, A
Includes: Falcon, R.[Rafael] Falcón, R.[Rafael]

Falcone, A.K.[Amanda K.] * 2007: Dual-Satellite Cloud Product Generation Using Temporally Updated Canonical Coordinate Features

Falcone, F. * 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
* 2021: Spatial V2X Traffic Density Channel Characterization for Urban Environments
Includes: Falcone, F. Falcone, F.[Francisco]

Falcone, M.[Maurizio] * 1996: Approximation Scheme for the Maximal Solution of the Shape-from-Shading Model, An
* 1997: algorithm for the global solution of the shape-from-shading model, An
* 2007: Some Remarks on Perspective Shape-from-Shading Models
* 2008: Numerical methods for shape-from-shading: A new survey with benchmarks
* 2012: Perspective Shape from Shading: Ambiguity Analysis and Numerical Approximations
* 2013: Uniqueness and Approximation of a Photometric Shape-from-Shading Model
* 2016: Analysis and Approximation of Some Shape-from-Shading Models for Non-Lambertian Surfaces
* 2019: Evaluation of Historical Heritage Documentation: Reality Based Survey and Derivative Models
* 2020: High-Order Scheme for Image Segmentation via a Modified Level-Set Method, A
* 2021: From Architectural Survey to Continuous Monitoring: Graph-based Data Management for Cultural Heritage Conservation with Digital Twins
Includes: Falcone, M.[Maurizio] Falcone, M.
10 for Falcone, M.

Falcone, P. * 2011: Predictive Threat Assessment via Reachability Analysis and Set Invariance Theory
* 2012: Design and Experimental Validation of a Cooperative Driving System in the Grand Cooperative Driving Challenge
* 2013: Predictive Prevention of Loss of Vehicle Control for Roadway Departure Avoidance
* 2014: WiFi-Based Passive ISAR for High-Resolution Cross-Range Profiling of Moving Targets
* 2015: Safe Transitions From Automated to Manual Driving Using Driver Controllability Estimation
* 2016: Coordination of Cooperative Autonomous Vehicles: Toward safer and more efficient road transportation
* 2018: 3D Vibration Estimation from Ground-Based Radar
* 2018: Design and Experimental Validation of a Cooperative Driving Control Architecture for the Grand Cooperative Driving Challenge 2016
Includes: Falcone, P. Falcone, P.[Paolo]
8 for Falcone, P.

Falcone, S.[Sergio] * 2022: Laser Scanning Investigation and Geophysical Monitoring to Characterise Cultural Heritage Current State and Threat by Traffic-Induce Vibrations: The Villa Farnesina in Rome

Falconer, C.[Cory] * 2017: Note on Boosting Algorithms for Image Denoising, A

Falconer, D.G. * 1981: Differential Operator Technique for Restoring Degraded Signals and Images, A

Falconer, R.[Robin] * 2020: Autonomous Underwater Vehicle Integrated with the Unmanned Surface Vessel Mapping the Southern Ionian Sea. The Winning Technology Solution of the Shell Ocean Discovery XPRIZE, The

Falconi, M.T.[Marta Tecla] * 2017: Forward Scatter Radar for Air Surveillance: Characterizing the Target-Receiver Transition from Far-Field to Near-Field Regions
* 2019: Weather Radar Data Processing and Atmospheric Applications: An overview of tools for monitoring clouds and detecting wind shear
Includes: Falconi, M.T.[Marta Tecla] Falconi, M.T.

Falconieri, A.[Alfredo] * 2017: Enhanced Satellite-Based Algorithm for Detecting and Tracking Dust Outbreaks by Means of SEVIRI Data, An
* 2018: Contribution of Multi-Sensor Infrared Satellite Observations to Monitor Mt. Etna (Italy) Activity during May to August 2016, The
* 2018: Monitoring the Agung (Indonesia) Ash Plume of November 2017 by Means of Infrared Himawari 8 Data
* 2019: Multi-Channel Algorithm for Mapping Volcanic Thermal Anomalies by Means of Sentinel-2 MSI and Landsat-8 OLI Data, A
* 2020: Validation of Ash/Dust Detections from SEVIRI Data Using ACTRIS/EARLINET Ground-Based LIDAR Measurements
* 2021: Mt. Etna Paroxysms of February-April 2021 Monitored and Quantified through a Multi-Platform Satellite Observing System
* 2022: Characterization of Extremely Fresh Biomass Burning Aerosol by Means of Lidar Observations
* 2022: First Implementation of a Normalized Hotspot Index on Himawari-8 and GOES-R Data for the Active Volcanoes Monitoring: Results and Future Developments
* 2022: Integrated Satellite System for Fire Detection and Prioritization
* 2022: Investigating Phases of Thermal Unrest at Ambrym (Vanuatu) Volcano through the Normalized Hot Spot Indices Tool and the Integration with the MIROVA System
* 2022: Mt. Etna Paroxysms of February-April 2021 Monitored and Quantified through a Multi-Platform Satellite Observing System
11 for Falconieri, A.

Index for "f"


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