Argudo, O.[Oscar]
* 2017: Coherent multi-layer landscape synthesis
Arguedas, V.F.[Virginia Fernandez]
* 2012: Bayesian Multimodal Fusion in Forensic Applications
* 2015: Texture-based vessel classifier for electro-optical satellite imagery
* 2018: Maritime Traffic Networks: From Historical Positioning Data to Unsupervised Maritime Traffic Monitoring
Includes: Arguedas, V.F.[Virginia Fernandez] Arguedas, V.F.[V. Fernandez]
Arguelles Cruz, A.J.[Amadeo Jose]
* 2007: Optimized Associative Memories for Feature Selection
* 2008: Alpha-Beta Weightless Neural Networks
* 2008: FPGA Implementation of Parallel Alpha-Beta Associative Memories
Includes: Arguelles Cruz, A.J.[Amadeo Jose] Argüelles-Cruz, A.J.[Amadeo José] (Maybe also Argueelles-Cruz, A.J.)Arguelles-Cruz, A.J.[Amadeo José]
Arguello Fuentes, H.
* 2019: Temporal Colored Coded Aperture Design in Compressive Spectral Video Sensing
Arguello, F.
* 1996: High performance VLSI architecture for the trellis coded quantization
* 2016: GPU-accelerated level-set segmentation
* 2018: Alignment of Hyperspectral Images Using KAZE Features
* 2018: GPU-based segmentation of retinal blood vessels
* 2019: TCANet for Domain Adaptation of Hyperspectral Images
* 2020: Texture Extraction Techniques for the Classification of Vegetation Species in Hyperspectral Imagery: Bag of Words Approach Based on Superpixels
* 2021: New Multispectral Data Augmentation Technique Based on Data Imputation, A
* 2021: Watershed Monitoring in Galicia from UAV Multispectral Imagery Using Advanced Texture Methods
* 2022: Design of CGAN Models for Multispectral Reconstruction in Remote Sensing
* 2023: Consensus Techniques for Unsupervised Binary Change Detection Using Multi-Scale Segmentation Detectors for Land Cover Vegetation Images
Includes: Arguello, F. Argüello, F.[Francisco] (Maybe also Argueello, F.)
10 for Arguello, F.
Arguello, H.
* 2013: Rank Minimization Code Aperture Design for Spectrally Selective Compressive Imaging
* 2014: Colored Coded Aperture Design by Concentration of Measure in Compressive Spectral Imaging
* 2014: Colored coded apertures optimization in compressive spectral imaging by restricted isometry property
* 2014: Spectral Image Classification From Optimal Coded-Aperture Compressive Measurements
* 2015: Compressive spectral polarization imaging by a pixelized polarizer and colored patterned detector
* 2015: Dual-ARM VIS/NIR compressive spectral imager
* 2017: Closed-Form Focus Profile Model for Conventional Digital Cameras, A
* 2017: High-resolution spectral image reconstruction based on compressed data fusion
* 2018: Binary Codification Design for Compressive Imaging by Uniform Sensing
* 2018: Multi-Resolution Compressive Spectral Imaging Reconstruction from Single Pixel Measurements
* 2019: Low-Rank Model for Compressive Spectral Image Classification, A
* 2019: Multiresolution Compressive Feature Fusion for Spectral Image Classification
* 2019: Spectral Image Fusion From Compressive Measurements
* 2019: Spectral Image Fusion From Compressive Measurements Using Spectral Unmixing and a Sparse Representation of Abundance Maps
* 2019: Spectral-Spatial Classification from Multi-Sensor Compressive Measurements Using Superpixels
* 2020: Compressive Spectral Light Field Image Reconstruction via Online Tensor Representation
* 2020: Convolutional sparse coding framework for compressive spectral imaging
* 2020: Optimized Sensing Matrix for Single Pixel Multi-Resolution Compressive Spectral Imaging
* 2020: Phase Recovery Guarantees From Designed Coded Diffraction Patterns in Optical Imaging
* 2020: Sensing Matrix Design for Compressive Spectral Imaging via Binary Principal Component Analysis
* 2020: Spectral Image Classification from Multi-Sensor Compressive Measurements
* 2020: Super-Resolution Phase Retrieval From Designed Coded Diffraction Patterns
* 2021: Compressive Covariance Matrix Estimation from a Dual-Dispersive Coded Aperture Spectral Imager
* 2021: Deep-Fusion: An End-To-End Approach for Compressive Spectral Image Fusion
* 2021: Feature fusion via dual-resolution compressive measurement matrix analysis for spectral image classification
* 2021: Interpretable Deep Image Prior Method Inspired in Linear Mixture Model for Compressed Spectral Image Recovery
* 2021: Learning Privacy-preserving Optics for Human Pose Estimation
* 2021: Mid-Infrared Compressive Hyperspectral Imaging
* 2021: Nonlocal Low-Rank Abundance Prior for Compressive Spectral Image Fusion
* 2021: Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems
* 2022: 3D Geometry Design via End-To-End Optimization for Land Seismic Acquisition
* 2022: Covariance Estimation From Compressive Data Partitions Using a Projected Gradient-Based Algorithm
* 2022: CX-DaGAN: Domain Adaptation for Pneumonia Diagnosis on a Small Chest X-Ray Dataset
* 2022: Optics Lens Design for Privacy-Preserving Scene Captioning
* 2022: PrivHAR: Recognizing Human Actions from Privacy-Preserving Lens
* 2023: Compressive Spectral Video Sensing using the Convolutional Sparse Coding framework CSC4D
* 2023: Deep Optical Coding Design in Computational Imaging: A data-driven framework
* 2023: LD-GAN: Low-Dimensional Generative Adversarial Network for Spectral Image Generation with Variance Regularization
* 2023: Optical Solutions for Spectral Imaging Inverse Problems with a Shift-Variant System
Includes: Arguello, H. Arguello, H.[Henry]
39 for Arguello, H.
Arguello, P.[Paula]
* 2022: Optics Lens Design for Privacy-Preserving Scene Captioning
Argueso, F.
* 2011: Bayesian MAP detection of extragalactic point sources in microwave astronomical images
Argueta Platero, A.A.[Abel Alexei]
* 2023: Predicting Earthquake-Induced Landslides by Using a Stochastic Modeling Approach: A Case Study of the 2001 El Salvador Coseismic Landslides
Includes: Argueta Platero, A.A.[Abel Alexei] Argueta-Platero, A.A.[Abel Alexei]
Arguillere, S.[Sylvain]
* 2016: Diffeomorphic Surface Registration with Atrophy Constraints
* 2016: Registration of Multiple Shapes using Constrained Optimal Control
* 2022: 3D Shape Sequence of Human Comparison and Classification Using Current and Varifolds
* 2023: ResNet-LDDMM: Advancing the LDDMM Framework Using Deep Residual Networks
Includes: Arguillere, S.[Sylvain] Arguillère, S.[Sylvain]
Arguin, M.[Martin]
* 2007: Comparing a Transferable Belief Model Capable of Recognizing Facial Expressions with the Latest Human Data
Arguissain, F.G.[Federico G.]
* 2018: Patient's Body Motion Study Using Multimodal RGBDT Videos
Argunsah, A.O.[Ali Ozgur]
* 2010: AR-PCA-HMM Approach for Sensorimotor Task Classification in EEG-based Brain-Computer Interfaces
* 2012: tool for automatic dendritic spine detection and analysis. Part I: Dendritic spine detection using multi-level region-based segmentation, A
* 2016: Dendritic Spine Shape Analysis: A Clustering Perspective
* 2017: Nonparametric Joint Shape and Feature Priors for Image Segmentation
Includes: Argunsah, A.O.[Ali Ozgur] Argunsah, A.O. Argunsah, A.Ö.[Ali Özgür]
Argus, L.[Laura]
* 2022: Model-Based Assessment of Canopy-Scale Primary Productivity for the Baltic Sea Benthic Vegetation Using Environmental Variables and Spectral Indices, A
* 2024: Assessing Seasonal and Inter-Annual Changes in the Total Cover of Submerged Aquatic Vegetation Using Sentinel-2 Imagery
Argus, M.[Max]
* 2021: Temporal Shift GAN for Large Scale Video Generation
* 2023: Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection
Argus, M.J.
* 2019: FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape From Single RGB Images