Guimaraes Pedronette, D.C.[Daniel Carlos]
* 2010: Exploiting Contextual Information for Image Re-ranking
* 2011: Combining Re-Ranking and Rank Aggregation Methods
* 2011: Exploiting contextual information for rank aggregation
* 2011: Exploiting contextual spaces for image re-ranking and rank aggregation
* 2012: Combining Re-Ranking and Rank Aggregation Methods
* 2012: Exploiting contextual information for image re-ranking and rank aggregation
* 2013: Image Re-ranking and Rank Aggregation Based on Similarity of Ranked Lists
* 2014: Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval
* 2014: Unsupervised Manifold Learning for Video Genre Retrieval
* 2014: Unsupervised manifold learning using Reciprocal kNN Graphs in image re-ranking and rank aggregation tasks
* 2015: semi-supervised learning algorithm for relevance feedback and collaborative image retrieval, A
* 2016: graph-based ranked-list model for unsupervised distance learning on shape retrieval, A
* 2018: Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks
* 2019: Multimedia Retrieval Through Unsupervised Hypergraph-Based Manifold Ranking
* 2022: Person Re-ID through unsupervised hypergraph rank selection and fusion
* 2022: Weakly supervised learning based on hypergraph manifold ranking
* 2023: Graph Convolutional Networks based on manifold learning for semi-supervised image classification
Includes: Guimaraes Pedronette, D.C.[Daniel Carlos] Guimarães Pedronette, D.C.[Daniel Carlos] Guimarães-Pedronette, D.C.[Daniel Carlos]
17 for Guimaraes Pedronette, D.C.
Guimaraes Santos, C.A.[Celso Augusto]
* 2020: Evaluation of the TRMM Product for Monitoring Drought over Paraíba State, Northeastern Brazil: A Statistical Analysis
* 2022: Investigating Relationships between Runoff-Erosion Processes and Land Use and Land Cover Using Remote Sensing Multiple Gridded Datasets
Includes: Guimaraes Santos, C.A.[Celso Augusto] Guimarães Santos, C.A.[Celso Augusto]
Guimaraes Steinicke, C.[Claudia]
* 2022: Diversity Effects on Canopy Structure Change throughout a Growing Season in Experimental Grassland Communities
Includes: Guimaraes Steinicke, C.[Claudia] Guimarães-Steinicke, C.[Claudia]
Guimaraes, A.R.
* 2018: Magnetic Resonance Mediated Radiofrequency Ablation
Guimaraes, C.
* 2015: Towards a SignWriting recognition system
Guimaraes, F.G.
* 2020: Unmanned Aerial Vehicle Location Routing Problem With Charging Stations for Belt Conveyor Inspection System in the Mining Industry
* 2022: Unmanned-Aerial-Vehicle Routing Problem With Mobile Charging Stations for Assisting Search and Rescue Missions in Postdisaster Scenarios
Includes: Guimaraes, F.G. Guimarães, F.G. Guimarães, F.G.[Frederico G.]
Guimaraes, J.P.F.[Joao P. F.]
* 2017: Complex Correntropy: Probabilistic Interpretation and Application to Complex-Valued Data
* 2018: Complex Correntropy Induced Metric Applied to Compressive Sensing with Complex-Valued Data
Includes: Guimaraes, J.P.F.[Joao P. F.] Guimarães, J.P.F.[João P. F.]
Guimaraes, L.
* 1999: Multiwindowed Approach to the Optimum Estimation of the Local Fractal Dimension for Natural Image Segmentation
* 2004: Gradient Pile up Algorithm for Edge Enhancement and Detection
Includes: Guimaraes, L. Guimarães, L.[Leticia]
Guimaraes, M.[Marta]
* 2022: Decision Support Models for Predicting and Explaining Airport Passenger Connectivity From Data
Includes: Guimaraes, M.[Marta] Guimarães, M.[Marta]
Guimaraes, M.T.[Matheus T.]
* 2020: high-efficiency energy and storage approach for IoT applications of facial recognition, A
Includes: Guimaraes, M.T.[Matheus T.] Guimarães, M.T.[Matheus T.]
Guimaraes, N.
* 2019: Evaluation of Machine Learning Techniques in Vine Leaves Disease Detection: a Preliminary Case Study On Flavescence DorÉe
* 2019: Post-fire Forestry Recovery Monitoring Using High-resolution Multispectral Imagery From Unmanned Aerial Vehicles
* 2020: Effectiveness of Sentinel-2 in Multi-Temporal Post-Fire Monitoring When Compared with UAV Imagery
* 2020: VisWebDrone: A Web Application for UAV Photogrammetry Based on Open-Source Software
Includes: Guimaraes, N. Guimarães, N. Guimarães, N.[Nathalie]
Guimaraes, P.[Pedro]
* 2012: 3D Retinal Vascular Network from Optical Coherence Tomography Data
* 2013: Explicit and Semi-implicit Complex-Diffusion Schemes for Optical Coherence Tomography Despeckling
Includes: Guimaraes, P.[Pedro] Guimarães, P.[Pedro]
Guimaraes, P.H.S.[Paulo Henrique Sales]
* 2021: Remotely Piloted Aircraft and Random Forest in the Evaluation of the Spatial Variability of Foliar Nitrogen in Coffee Crop
Includes: Guimaraes, P.H.S.[Paulo Henrique Sales] Guimarães, P.H.S.[Paulo Henrique Sales]
Guimaraes, R.B.[Raul B.]
* 2018: Assessing Biodiversity in Boreal Forests with UAV-Based Photogrammetric Point Clouds and Hyperspectral Imaging
Includes: Guimaraes, R.B.[Raul B.] Guimarães, R.B.[Raul B.]
Guimaraes, R.F.
* 2011: New Approach to Change Vector Analysis Using Distance and Similarity Measures, A
* 2013: Combining Spatial Models for Shallow Landslides and Debris-Flows Prediction
* 2013: Dynamics of Sheep Production in Brazil
* 2013: Karst Depression Detection Using ASTER, ALOS/PRISM and SRTM-Derived Digital Elevation Models in the Bambuí Group, Brazil
* 2013: Radiometric Normalization of Temporal Images Combining Automatic Detection of Pseudo-Invariant Features from the Distance and Similarity Spectral Measures, Density Scatterplot Analysis, and Robust Regression
* 2014: Probability Density Components Analysis: A New Approach to Treatment and Classification of SAR Images
* 2014: Spatial Patterns of Fire Recurrence Using Remote Sensing and GIS in the Brazilian Savanna: Serra do Tombador Nature Reserve, Brazil
* 2015: Comparative Analysis of MODIS Time-Series Classification Using Support Vector Machines and Methods Based upon Distance and Similarity Measures in the Brazilian Cerrado-Caatinga Boundary
* 2015: Standardized Time-Series and Interannual Phenological Deviation: New Techniques for Burned-Area Detection Using Long-Term MODIS-NBR Dataset
* 2017: Determination of Areas Susceptible to Landsliding Using Spatial Patterns of Rainfall from Tropical Rainfall Measuring Mission Data, Rio de Janeiro, Brazil
* 2017: Spatial-Temporal Patterns of Bean Crop in Brazil over the Period 1990-2013
* 2018: Burned-Area Detection in Amazonian Environments Using Standardized Time Series Per Pixel in MODIS Data
* 2020: Change Detection of Deforestation in the Brazilian Amazon Using Landsat Data and Convolutional Neural Networks
* 2020: Comparison of Post-fire Patterns in Brazilian Savanna and Tropical Forest from Remote Sensing Time Series
* 2020: Deep Semantic Segmentation of Center Pivot Irrigation Systems from Remotely Sensed Data
* 2020: Performance Analysis of Deep Convolutional Autoencoders with Different Patch Sizes for Change Detection from Burnt Areas
* 2020: Rice Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series
* 2021: Instance Segmentation for Governmental Inspection of Small Touristic Infrastructure in Beach Zones Using Multispectral High-Resolution WorldView-3 Imagery
* 2021: Instance Segmentation for Large, Multi-Channel Remote Sensing Imagery Using Mask-RCNN and a Mosaicking Approach
* 2022: Comparing Machine and Deep Learning Methods for the Phenology-Based Classification of Land Cover Types in the Amazon Biome Using Sentinel-1 Time Series
* 2022: Estimating the Optimal Threshold for Accuracy Assessment of the Global Ecosystem Dynamics Investigation (GEDI) Data in a Gentle Relief Urban Area
* 2022: Panoptic Segmentation Meets Remote Sensing
Includes: Guimaraes, R.F. Guimarães, R.F. Guimarães, R.F.[Renato Fontes]
22 for Guimaraes, R.F.
Guimaraes, S.[Silvio]
* 2015: New Characterizations of Minimum Spanning Trees and of Saliency Maps Based on Quasi-flat Zones
* 2018: Hierarchical Segmentations with Graphs: Quasi-flat Zones, Minimum Spanning Trees, and Saliency Maps
Includes: Guimaraes, S.[Silvio] Guimarães, S.[Silvio]
Guimaraes, S.J.F.[Silvio J. F.]
* 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
* 2008: approach for video cut detection using bipartite graph matching as dissimilarity distance, An
* 2010: Static Video Summarization Method Based on Hierarchical Clustering, A
* 2010: Unified Transition Detection Based on Bipartite Graph Matching Approach, An
* 2012: Hierarchical Image Segmentation Algorithm Based on an Observation Scale, A
* 2013: Graph-Based Hierarchical Image Segmentation Method Based on a Statistical Merging Predicate, A
* 2014: Graph-based hierarchical video segmentation based on a simple dissimilarity measure
* 2015: Evaluation of Morphological Hierarchies for Supervised Segmentation
* 2015: Hierarchical Combination of Semantic Visual Words for Image Classification and Clustering
* 2015: Hierarchical Image Segmentation Relying on a Likelihood Ratio Test
* 2015: Kernel Combination Through Genetic Programming for Image Classification
* 2015: Re-ranking of the Merging Order for Hierarchical Image Segmentation
* 2017: Graph-Based Hierarchical Video Cosegmentation
* 2017: Human Action Classification Using an Extended BoW Formalism
* 2018: Evaluation of Hierarchical Watersheds
* 2019: Label Propagation Guided by Hierarchy of Partitions for Superpixel Computation
* 2019: Removing non-significant regions in hierarchical clustering and segmentation
* 2019: Study of Observation Scales Based on Felzenswalb-Huttenlocher Dissimilarity Measure for Hierarchical Segmentation, A
* 2020: Hierarchical segmentation from a non-increasing edge observation attribute
* 2020: Image segmentation using dense and sparse hierarchies of superpixels
* 2020: Learning to realign hierarchy for image segmentation
* 2020: Superpixel Segmentation Using Dynamic and Iterative Spanning Forest
* 2023: Filtering Safe Temporal Motifs in Dynamic Graphs for Dissemination Purposes
* 2023: Graph-based Feature Learning from Image Markers
* 2023: Graph-based image gradients aggregated with random forests
* 2023: Streaming Graph-based Supervoxel Computation Based on Dynamic Iterative Spanning Forest
Includes: Guimaraes, S.J.F.[Silvio J. F.] Guimarães, S.J.F.[Sílvio J. F.] Guimarães, S.J.F.[Silvio Jamil Ferzoli] Guimarães, S.J.F.[Silvio Jamil F.] Guimarães, S.J.F. Guimarães, S.J.F.[Silvio J. F.] Guimarães, S.J.F.[Silvio J.F.]
29 for Guimaraes, S.J.F.
Guimaraes, U.S.[Ulisses Silva]
* 2018: Radargrammetric approaches to the flat relief of the Amazon coast using COSMO-SkyMed and TerraSAR-X datasets
Includes: Guimaraes, U.S.[Ulisses Silva] Guimarães, U.S.[Ulisses Silva]
Guimaraes, V.[Vitor]
* 2022: QDA-System: A Cloud-Based System for Monitoring Water Quality in Brazilian Hydroelectric Reservoirs from Space
Includes: Guimaraes, V.[Vitor] Guimarães, V.[Vitor]
Guimard, Q.[Quentin]
* 2022: On the Link Between Emotion, Attention and Content in Virtual Immersive Environments
Guimbard, S.
* 2012: Review of the CALIMAS Team Contributions to European Space Agency's Soil Moisture and Ocean Salinity Mission Calibration and Validation
* 2013: Toward an Optimal Estimation of the SMOS Antenna-Frame Systematic Errors
* 2020: Synergy between Ocean Variables: Remotely Sensed Surface Temperature and Chlorophyll Concentration Coherence
* 2021: Salinity Pilot-Mission Exploitation Platform (Pi-MEP): A Hub for Validation and Exploitation of Satellite Sea Surface Salinity Data, The
* 2021: Using Remotely Sensed Sea Surface Salinity and Colored Detrital Matter to Characterize Freshened Surface Layers in the Kara and Laptev Seas during the Ice-Free Season
* 2022: Satellite and In Situ Sampling Mismatches: Consequences for the Estimation of Satellite Sea Surface Salinity Uncertainties
Includes: Guimbard, S. Guimbard, S.[Sebastien] Guimbard, S.[Sébastien]
Guimeng, L.[Liu]
* 2022: Unsupervised Generative Variational Continual Learning
Guimond, A.[Alexandre]
* 2000: Average Brain Models: A Convergence Study
* 2000: Multimodal Elastic Matching of Brain Images
* 2001: Three-dimensional multimodal brain warping using the Demons algorithm and adaptive intensity corrections
* 2006: Geometrical Regularization of Displacement Fields with Application to Biological Image Registration
Includes: Guimond, A.[Alexandre] Guimond, A.
Guimond, S.
* 2016: NASA High-Altitude Imaging Wind and Rain Airborne Profiler, The
Guimpier, A.[Anthony]
* 2021: Rapid Single Image-Based DTM Estimation from ExoMars TGO CaSSIS Images Using Generative Adversarial U-Nets
Guimundsson, S.[Sverrir]
* 2017: Evaluation of MODIS Albedo Product over Ice Caps in Iceland and Impact of Volcanic Eruptions on Their Albedo
Includes: Guimundsson, S.[Sverrir] Guðmundsson, S.[Sverrir]
Guimundsson, S.A.[Sigurjon Arni]
* 2007: Robust Pose Estimation Using the SwissRanger SR-3000 Camera
* 2010: Model-Based Hand Gesture Tracking in ToF Image Sequences
Includes: Guimundsson, S.A.[Sigurjon Arni] Guðmundsson, S.Á.[Sigurjón Árni]