Index for sali

Sali, A.[Aduwati] * 2017: Micro-Doppler Estimation and Analysis of Slow Moving Objects in Forward Scattering Radar System
* 2020: Passive Forward-Scattering Radar Using Digital Video Broadcasting Satellite Signal for Drone Detection

Sali, E.[Erez] * 1998: Recognizing Novel 3-D Objects Under New Illumination and Viewing Position Using a Small Number of Examples
* 1999: Combining Class-Specific Fragments for Object Classification
* 2000: Object classification using a fragment-based representation
* 2001: Fragment-Based Approach to Object Representation and Classification, A
* 2002: Visual features of intermdediate complexity and their use in classification
Includes: Sali, E.[Erez] Sali, E.

Sali, M.[Matteo] * 2021: Burned Area Mapping Algorithm for Sentinel-2 Data Based on Approximate Reasoning and Region Growing, A
* 2021: Fully Automatic, Interpretable and Adaptive Machine Learning Approach to Map Burned Area from Remote Sensing, A
* 2022: Sentinel-2 sampling design and reference fire perimeters to assess accuracy of Burned Area products over Sub-Saharan Africa for the year 2019

Sali, S. * 2002: General multilayer perceptron demixer scheme for nonlinear blind signal separation

Salian, S.[Shashank] * 2021: Age-Net: An MRI-Based Iterative Framework for Brain Biological Age Estimation
* 2022: Searching the Deployable Convolution Neural Networks for GPUs
Includes: Salian, S.[Shashank] Salian, S.[Satish]

Saliba, M.[Mireille] * 2018: Combined DCT-Haar transforms for image compression

Salice, F.[Fabio] * 2015: Bridge: Mutual Reassurance for Autonomous and Independent Living

Salichs, M.A. * 2012: New Approach to Modeling Emotions and Their Use on a Decision-Making System for Artificial Agents, A
* 2018: Evaluation of Artificial Mouths in Social Robots

Salici, A.[Angelo] * 2017: GRAPHJ: A Forensics Tool for Handwriting Analysis

Salido Monzu, D. * 2019: Instrumental Basis for Multispectral Lidar With Spectrally-resolved Distance Measurements, An
* 2021: MIMO-SAR Interferometric Measurements for Structural Monitoring: Accuracy and Limitations
* 2021: Modeling Approach for Predicting the Resolution Capability in Terrestrial Laser Scanning, A
* 2023: Phase ambiguity resolution and mixed pixel detection in EDM with multiple modulation wavelengths
Includes: Salido Monzu, D. Salido-Monzú, D. Salido-Monzú, D.[David]

Salido, J. * 2011: Face recognition using Histograms of Oriented Gradients
* 2019: Deep Learning Versus Classic Methods for Multi-taxon Diatom Segmentation
Includes: Salido, J. Salido, J.[Jesús]

Saliendra, N. * 2018: Color calibration of digital images for agriculture and other applications
* 2021: Comparison between Support Vector Machine and Water Cloud Model for Estimating Crop Leaf Area Index, A
Includes: Saliendra, N. Saliendra, N.[Nicanor]

Salig, J.B.[James B.] * 2016: Non-trivial Feature Derivation For Intensifying Feature Detection Using Lidar Datasets Through Allometric Aggregation Data Analysis Applying Diffused Hierarchical Clustering For Discriminating Agricultural Land Cover In Portions Of Northern Mindanao, Philippines
Includes: Salig, J.B.[James B.] Salig Jr., J.B.[James B.]

Saligrama, V.[Venkatesh] * 2008: Abnormal behavior detection and behavior matching for networked cameras
* 2008: Modeling background activity for behavior subtraction
* 2008: Motion detection with an unstable camera
* 2008: Motion detection with false discovery rate control
* 2008: Motion segmentation and abnormal behavior detection via behavior clustering
* 2009: Abnormal events detection based on spatio-temporal co-occurences
* 2009: Foreground-Adaptive Background Subtraction
* 2009: Implicit Active-Contouring with MRF
* 2010: Activity Based Matching in Distributed Camera Networks
* 2011: Abnormality detection using low-level co-occurring events
* 2012: Behavior Subtraction
* 2012: Real-Time Activity Search of Surveillance Video
* 2012: Video anomaly detection based on local statistical aggregates
* 2014: Model Selection by Linear Programming
* 2014: Novel Visual Word Co-occurrence Model for Person Re-identification, A
* 2015: Group Membership Prediction
* 2015: Zero-Shot Learning via Semantic Similarity Embedding
* 2016: Efficient Training of Very Deep Neural Networks for Supervised Hashing
* 2016: Retrieval in Long-Surveillance Videos Using User-Described Motion and Object Attributes
* 2016: Zero-Shot Learning via Joint Latent Similarity Embedding
* 2016: Zero-Shot Recognition via Structured Prediction
* 2017: PRISM: Person Reidentification via Structured Matching
* 2018: Sequential Optimization for Efficient High-Quality Object Proposal Generation
* 2019: Cost-Aware Fine-Grained Recognition for IoTs Based on Sequential Fixations
* 2019: Generalized Zero-Shot Recognition Based on Visually Semantic Embedding
* 2019: Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs
* 2020: Don't Even Look Once: Synthesizing Features for Zero-Shot Detection
* 2020: Low Dimensional Visual Attributes: An Interpretable Image Encoding
* 2020: Zero Shot Detection
* 2021: Effectively Leveraging Attributes for Visual Similarity
* 2021: Effectively Leveraging Attributes for Visual Similarity
* 2021: RNN Training along Locally Optimal Trajectories via Frank-Wolfe Algorithm
* 2021: Time Adaptive Recurrent Neural Network
* 2022: Condensing CNNs with Partial Differential Equations
* 2022: Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data
* 2024: Interpretable Compositional Representations for Robust Few-Shot Generalization
Includes: Saligrama, V.[Venkatesh] Saligrama, V.
36 for Saligrama, V.

Salih, A.[Ahmed] * 2022: Explainable Artificial Intelligence for Magnetic Resonance Imaging Aging Brainprints: Grounds and challenges
* 2022: Investigating Explainable Artificial Intelligence for MRI-based Classification of Dementia: A New Stability Criterion for Explainable Methods

Salih, A.A.A.[Al Alwani Adnan] * 2016: Spatiotemporal representation of 3D skeleton joints-based action recognition using modified spherical harmonics

Salih, A.L. * 2016: Mapping Of Planetary Surface Age Based On Crater Statistics Obtained By An Automatic Detection Algorithm

Salih, O.[Omran] * 2018: Skin Cancer Segmentation Using a Unified Markov Random Field
* 2022: local ternary pattern encoder-decoder neural network for dental image segmentation, The

Salih, W.[Wiam] * 2022: Evaluation of the Performance of Multi-Source Satellite Products in Simulating Observed Precipitation over the Tensift Basin in Morocco

Salih, Y.[Yasir] * 2011: Comparison of stochastic filtering methods for 3D tracking
* 2013: Noise Robustness Analysis of Point Cloud Descriptors
* 2014: Compressed VFH descriptor for 3D object classification
Includes: Salih, Y.[Yasir] Salih, Y.

Salihin, S. * 2017: Spatio-temporal Estimation of Integrated Water Vapour Over The Malaysian Peninsula During Monsoon Season

Salihu, D.[Driton] * 2023: COCCA: Point Cloud Completion through CAD Cross-Attention
* 2023: Reconstruction with robustness: A semantic prior guided face super-resolution framework for multiple degradations
* 2023: SGPCR: Spherical Gaussian Point Cloud Representation and its Application to Object Registration and Retrieval

Salim, A.[Asif] * 2017: Effectiveness of Representation and Length Variation of Shortest Paths in Graph Classification
* 2017: Formulation of Two Stage Multiple Kernel Learning Using Regression Framework
* 2023: Neighborhood Preserving Kernels for Attributed Graphs

Salim, F.[Flora] * 2023: SCONE-GAN: Semantic Contrastive learning-based Generative Adversarial Network for an end-to-end image translation

Salim, F.D. * 2019: Predicting Personality Traits From Physical Activity Intensity

Salim, M.A.[Mohammad A.] * 2018: New Tropical Peatland Gas and Particulate Emissions Factors Indicate 2015 Indonesian Fires Released Far More Particulate Matter (but Less Methane) than Current Inventories Imply

Salim, M.H.M.[Mohamad Hidir Mhd] * 2015: Understanding the User Perception in Visual Lifelogging: A Pilot Study in Malaysian Context

Salim, M.I.M.[Maheza Irna Mohamad] * 2022: contrast enhancement framework under uncontrolled environments based on just noticeable difference, A

Salim, N.D. * 2017: Real-Time Nonlinear Complementary Filter on SO(3) for Attitude Estimation of Small-Scale Aerial Robot

Salim, O.H. * 2011: Prioritized 3-D Video Transmission over Cooperative MIMO-OFDM Systems
* 2014: Cross-layer optimization for 3-D video transmission over cooperative relay systems
Includes: Salim, O.H. Salim, O.H.[Omar H.]

Salim, S.[Samla] * 2022: improved invasive weed optimization enabled Shepard convolutional neural network for classification of breast cancer, An

Salim, S.I.M.[S. I. Md] * 2011: Estimation of motion vector parameter using hexagon-diamond search algorithm

Salimans, T.[Tim] * 2023: Image Super-Resolution via Iterative Refinement
* 2023: On Distillation of Guided Diffusion Models

Salimi Khorshidi, G. * 2011: Using Gaussian-Process Regression for Meta-Analytic Neuroimaging Inference Based on Sparse Observations
* 2022: Uncertainty-Aware Interpretable Deep Learning for Slum Mapping and Monitoring
Includes: Salimi Khorshidi, G. Salimi-Khorshidi, G. Salimi-Khorshidi, G.[Gholamreza]

Salimi, A.[Ahad] * 2018: Fully automatic prostate segmentation in MR images using a new hybrid active contour-based approach

Salimi, F.[Fahimeh] * 2009: Face Verification Using Colour Kernels

Salimi, H.[Hamid] * 2013: Farsi/Arabic handwritten digit recognition based on ensemble of SVD classifiers and reliable multi-phase PSO combination rule

Salimi, S.[Selva] * 2018: Finding a set of candidate parents using dependency criterion for the K2 algorithm

Salimi, Y.[Yazdan] * 2022: COLI-Net: Deep learning-assisted fully automated COVID-19 lung and infection pneumonia lesion detection and segmentation from chest computed tomography images
* 2024: Differentiation of COVID-19 pneumonia from other lung diseases using CT radiomic features and machine learning: A large multicentric cohort study

Salimian, K.J. * 2020: Deep Adversarial Training for Multi-Organ Nuclei Segmentation in Histopathology Images

Salin, E.[Emmanuelle] * 2023: Towards an Exhaustive Evaluation of Vision-Language Foundation Models

Salin, M.[Mikhail] * 2024: Manifestation of Internal Waves in the Structure of an Artificial Slick Band

Salinari, S.[Serenella] * 2011: Imaging the Social Brain by Simultaneous Hyperscanning during Subject Interaction

Salinas Gonzalez, J.D.[Jared D.] * 2022: Multivariate Analysis for Solar Resource Assessment Using Unsupervised Learning on Images from the GOES-13 Satellite
* 2024: Annual Daily Irradiance Analysis of Clusters in Mexico by Machine Learning Algorithms
Includes: Salinas Gonzalez, J.D.[Jared D.] Salinas-González, J.D.[Jared D.]

Salinas Gutierrez, R.[Rogelio] * 2017: Modeling Dependencies in Supervised Classification
Includes: Salinas Gutierrez, R.[Rogelio] Salinas-Gutiérrez, R.[Rogelio]

Salinas, C.A. * 2003: Genetic design of biologically inspired receptive fields for neural pattern recognition

Salinas, C.C.J.H.[Cornelius Csar Jude H.] * 2023: Optimal Estimation Inversion of Ionospheric Electron Density from GNSS-POD Limb Measurements: Part I-Algorithm and Morphology

Salinas, H.M. * 2007: Comparison of PDE-Based Nonlinear Diffusion Approaches for Image Enhancement and Denoising in Optical Coherence Tomography

Salinas, K.[Keren] * 2019: Irrigation Optimization Under a Limited Water Supply by the Integration of Modern Approaches into Traditional Water Management on the Cotton Fields

Salinas, N.R. * 2019: Mapping the Spatial Distribution of Colombia's Forest Aboveground Biomass Using SAR and Optical Data

Salinas, R.[Renato] * 2012: Recognition and Real-time Detection of Blinking Eyes on Electroencephalographic Signals Using Wavelet Transform

Salinas, R.A. * 2005: Automated estimation of rock fragment distributions using computer vision and its application in mining
* 2007: Integrating CFD modelling, neural networks and remote sensing: controlled prediction of chlorophyll-a concentration in the Mejillones of South Bay

Salinas, V.[Victor] * 2014: Assessment of Complex Masonry Structures with GPR Compared to Other Non-Destructive Testing Studies

Salinero Delgado, M.[Matias] * 2021: Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine
* 2022: Monitoring Cropland Phenology on Google Earth Engine Using Gaussian Process Regression
* 2022: Quantifying Fundamental Vegetation Traits over Europe Using the Sentinel-3 OLCI Catalogue in Google Earth Engine
* 2023: Cloud-Free Global Maps of Essential Vegetation Traits Processed from the TOA Sentinel-3 Catalogue in Google Earth Engine
* 2023: Synergy of Sentinel-1 and Sentinel-2 Time Series for Cloud-Free Vegetation Water Content Mapping with Multi-Output Gaussian Processes
Includes: Salinero Delgado, M.[Matias] Salinero-Delgado, M.[Matías]

Salingova, B. * 2016: Vascular network formation in silico using the extended cellular potts model
Includes: Salingova, B. Šalingová, B.

Salio, P.[Paola] * 2020: Backward Adaptive Brightness Temperature Threshold Technique (BAB3T): A Methodology to Determine Extreme Convective Initiation Regions Using Satellite Infrared Imagery
* 2021: Drop Size Distribution Variability in Central Argentina during RELAMPAGO-CACTI

Salis, M. * 2019: Fire Modelling to Assess Spatial Patterns of Wildfire Exposure In Ardabil, Nw Iran

Salis, S. * 2012: Application of Mobility Management: A Web structure for the optimisation of the mobility of working staff of big companies

Salisbury, K.[Kenneth] * 2007: Deformable Image Mosaicing for Optical Biopsy

Salishev, S. * 2014: method of H.264 video watermarking robust to attack on I and P frames by removal, A

Index for "s"