Index for vera

Vera Candeas, P. * 2004: New matching pursuit based sinusoidal modelling method for audio coding
* 2005: Adaptive Signal Models for Wide-Band Speech and Audio Compression
* 2006: Sinusoidal modelling using perceptual matching pursuits in the bark scale for parametric audio coding
Includes: Vera Candeas, P. Vera-Candeas, P. Vera-Candeas, P.[Pedro]

Vera Diaz, F.A.[Fuensanta A.] * 2007: Measuring perceived video quality of MPEG enhancement by people with impaired vision
Includes: Vera Diaz, F.A.[Fuensanta A.] Vera-Diaz, F.A.[Fuensanta A.]

Vera Isasa, M. * 2014: 3-Pol Polarimetric Weather Measurements With Agile-Beam Phased-Array Radars
* 2017: Antenna Cross-Polar Requirements for 3-PolD Weather Radar Measurements
* 2019: Unified Formulation of Polarimetric Weather Radar With Application to IQ Data Simulation, A
Includes: Vera Isasa, M. Vera-Isasa, M.

Vera Perez, O.L.[Oscar Luis] * 2008: Active contour algorithm for texture segmentation using a texture feature set

Vera Rodriguez, R.[Ruben] * 2008: large scale footstep database for biometric studies created using cross-biometrics for labelling, A
* 2009: Automatic Cross-Biometric Footstep Database Labelling Using Speaker Recognition
* 2010: Analysis of Time Domain Information for Footstep Recognition
* 2011: Analysis of spatial domain information for footstep recognition
* 2013: Comparative Analysis and Fusion of Spatiotemporal Information for Footstep Recognition
* 2013: Comparative Analysis of the Variability of Facial Landmarks for Forensics Using CCTV Images
* 2013: Fusion of Facial Regions Using Color Information in a Forensic Scenario
* 2014: Comparison of Body Shape Descriptors for Biometric Recognition Using MMW Images
* 2015: Feature exploration for biometric recognition using millimetre wave body images
* 2016: Image-based gender estimation from body and face across distances
* 2017: Body Shape-Based Biometric Person Recognition from mmW Images
* 2017: Signature authentication based on human intervention: Performance and complementarity with automatic systems
* 2018: Incorporating Touch Biometrics to Mobile One-Time Passwords: Exploration of Digits
* 2018: Person Recognition at a Distance: Improving Face Recognition Through Body Static Information
* 2019: Active detection of age groups based on touch interaction
* 2019: Analysis of Spatio-Temporal Representations for Robust Footstep Recognition with Deep Residual Neural Networks
* 2019: Keystroke Mobile Authentication: Performance of Long-Term Approaches and Fusion with Behavioral Profiling
* 2019: Reducing the template ageing effect in on-line signature biometrics
* 2020: Analysing and Exploiting Complexity Information in On-line Signature Verification
* 2020: Deepfakes Evolution: Analysis of Facial Regions and Fake Detection Performance
* 2020: Exploiting complexity in pen- and touch-based signature biometrics
* 2020: Special Section: CIARP 2018
* 2021: SensitiveNets: Learning Agnostic Representations with Application to Face Images
* 2022: BeCAPTCHA-Mouse: Synthetic mouse trajectories and improved bot detection
* 2022: GaitPrivacyON: Privacy-preserving mobile gait biometrics using unsupervised learning
* 2022: Mobile behavioral biometrics for passive authentication
* 2022: OTB-morph: One-Time Biometrics via Morphing applied to Face Templates
* 2022: SVC-onGoing: Signature verification competition
* 2023: BehavePassDB: Public Database for Mobile Behavioral Biometrics and Benchmark Evaluation
* 2023: Exploring transformers for behavioural biometrics: A case study in gait recognition
* 2023: Fishing Gear Classification from Vessel Trajectories and Velocity Profiles: Database and Benchmark
* 2023: GANDiffFace: Controllable Generation of Synthetic Datasets for Face Recognition with Realistic Variations
* 2023: Mobile Keystroke Biometrics Using Transformers
* 2023: Multi-IVE: Privacy Enhancement of Multiple Soft-Biometrics in Face Embeddings
* 2024: FRCSyn Challenge at WACV 2024: Face Recognition Challenge in the Era of Synthetic Data
Includes: Vera Rodriguez, R.[Ruben] Vera-Rodríguez, R.[Rubén] Vera-Rodriguez, R.[Ruben] Vera-Rodriguez, R.
35 for Vera Rodriguez, R.

Vera Tudela, L.[Luis] * 2018: On the Use of Dual-Doppler Radar Measurements for Very Short-Term Wind Power Forecasts
Includes: Vera Tudela, L.[Luis] Vera-Tudela, L.[Luis]

Vera, E.[Esteban] * 2005: Fast Adaptive Nonuniformity Correction for Infrared Focal-Plane Array Detectors
* 2010: Quantitative Evaluation of Fixed-Pattern Noise Reduction Methods in Imaging Systems, A
* 2011: novel iterative image restoration algorithm using nonstationary image priors, A
* 2018: Hough Transform for real-time plane detection in depth images
* 2023: Multispectral Filter Array Design by Optimal Sphere Packing
Includes: Vera, E.[Esteban] Vera, E.[Eduardo]

Vera, J.[Julio] * 2015: Supervised Cluster Analysis of miRNA Expression Data Using Rough Hypercuboid Partition Matrix
* 2023: Implementing Cloud Computing for the Digital Mapping of Agricultural Soil Properties from High Resolution UAV Multispectral Imagery
Includes: Vera, J.[Julio] Vera, J.[Jesús]

Vera, M.[Miguel] * 2007: Edge Detection in Ventriculograms Using Support Vector Machine Classifiers and Deformable Models

Vera, P. * 2014: Prediction of Lung Tumor Evolution During Radiotherapy in Individual Patients With PET
* 2014: Relevance Feedback in Biometric Retrieval of Animal Photographs
* 2015: Sloop: A pattern retrieval engine for individual animal identification
* 2016: Counting pedestrians with a zenithal arrangement of depth cameras
* 2016: Tumor segmentation by fusion of MRI images using copula based statistical methods
* 2017: Accurate tumor segmentation in FDG-PET images with guidance of complementary CT images
* 2017: Utilization of Integrated Geophysical Techniques to Delineate the Extraction of Mining Bench of Ornamental Rocks (Marble)
* 2019: Joint Tumor Segmentation in PET-CT Images Using Co-Clustering and Fusion Based on Belief Functions
* 2021: 3D Medical Multi-modal Segmentation Network Guided by Multi-source Correlation Constraint
* 2021: Fine-Grained Large-Scale Vulnerable Communities Mapping via Satellite Imagery and Population Census Using Deep Learning
* 2021: Latent Correlation Representation Learning for Brain Tumor Segmentation With Missing MRI Modalities
* 2022: Missing Data Imputation via Conditional Generator and Correlation Learning for Multimodal Brain Tumor Segmentation
* 2022: Tri-Attention fusion guided multi-modal segmentation network, A
Includes: Vera, P. Vera, P.[Pablo] Vera, P.[Pedro] Vera, P.[Pierre]
13 for Vera, P.

Vera, S.[Sergio] * 2013: Geometric steerable medial maps
* 2015: Image Registration of Cochlear micro-CT Data Using Heat Distribution Similarity
* 2016: Free-form image registration of human cochlear µCT data using skeleton similarity as anatomical prior

Vera, V. * 1994: Recursive Image Sequence Segmentation by Hierarchical Models

Veraart, C. * 1996: Resolution reduction by growth of zones for visual prosthesis

Veraart, J. * 2012: Four-point-algorithm for the recovery of the pose of a one-dimensional camera with unknown focal length

Veracini, T. * 2013: Models and Methods for Automated Background Density Estimation in Hyperspectral Anomaly Detection

Verard, L. * 1997: Fully automatic identification of AC and PC landmarks on brain MRI using scene analysis

Veras, H.F.P.[Hudson F. P.] * 2020: Measuring Individual Tree Diameter and Height Using GatorEye High-Density UAV-Lidar in an Integrated Crop-Livestock-Forest System

Veras, R.[Rodrigo] * 2019: hybrid feature space from texture information and transfer learning for glaucoma classification, An
* 2020: P-fidenet: Plasmodium Falciparum Identification Neural Network

Veras, R.M.S. * 2009: Evaluation of retinal vessel segmentation methods for microaneurysms detection

Verasani, M.[Mattia] * 2022: First Steps Towards 3D Pedestrian Detection and Tracking from Single Image

Verastegui, R.[Renzo] * 2018: Real-Time Dynamic Object Detection for Autonomous Driving Using Prior 3D-Maps

Veratelli, M.G. * 2011: Multitemporal data management and exploitation infrastructure

Veraverbeke, S. * 2011: Assessing intra-annual vegetation regrowth after fire using the pixel based regeneration index
* 2011: Evaluating Spectral Indices for Assessing Fire Severity in Chaparral Ecosystems (Southern California) Using MODIS/ASTER (MASTER) Airborne Simulator Data
* 2012: Assessing post-fire vegetation recovery using red-near infrared vegetation indices: Accounting for background and vegetation variability
* 2012: Assessing post-fire vegetation recovery using red-near infrared vegetation indices: Accounting for background and vegetation variability
* 2013: Evaluation of ALOS PALSAR Imagery for Burned Area Mapping in Greece Using Object-Based Classification
* 2014: Burned Area Detection and Burn Severity Assessment of a Heathland Fire in Belgium Using Airborne Imaging Spectroscopy (APEX)
* 2018: Evaluating Endmember and Band Selection Techniques for Multiple Endmember Spectral Mixture Analysis using Post-Fire Imaging Spectroscopy
* 2020: Mapping Species at an Individual-Tree Scale in a Temperate Forest, Using Sentinel-2 Images, Airborne Laser Scanning Data, and Random Forest Classification
* 2021: Evaluating the Differenced Normalized Burn Ratio for Assessing Fire Severity Using Sentinel-2 Imagery in Northeast Siberian Larch Forests
* 2021: Evaluating the Hyperspectral Sensitivity of the Differenced Normalized Burn Ratio for Assessing Fire Severity
* 2021: Evaluating the Near and Mid Infrared Bi-Spectral Space for Assessing Fire Severity and Comparison with the Differenced Normalized Burn Ratio
* 2022: How Much of a Pixel Needs to Burn to Be Detected by Satellites? A Spectral Modeling Experiment Based on Ecosystem Data from Yellowstone National Park, USA
Includes: Veraverbeke, S. Veraverbeke, S.[Sander]
12 for Veraverbeke, S.

Index for "v"


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