Shaban, A.[Amirreza]
* 2013: From Local Similarity to Global Coding: An Application to Image Classification
* 2015: From Local Similarities to Global Coding: A Framework for Coding Applications
* 2019: Learning to Find Common Objects Across Few Image Collections
* 2020: MMTM: Multimodal Transfer Module for CNN Fusion
* 2020: Pairwise Similarity Knowledge Transfer for Weakly Supervised Object Localization
* 2021: Groundwater Depletion Signals in the Beqaa Plain, Lebanon: Evidence from GRACE and Sentinel-1 Data
* 2022: Few-shot Weakly-Supervised Object Detection via Directional Statistics
* 2023: CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
* 2023: LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation
Includes: Shaban, A.[Amirreza] Shaban, A. Shaban, A.[Amin]
9 for Shaban, A.
Shaban, K.[Khaled]
* 2006: Document Mining Based on Semantic Understanding of Text
* 2021: MARL: Multimodal Attentional Representation Learning for Disease Prediction
Shaban, K.A.[Khalid Adel]
* 2023: SkinNet-ENDO: Multiclass skin lesion recognition using deep neural network and Entropy-Normal distribution optimization algorithm with ELM
Shaban, M.[Muhammad]
* 2018: Context-Aware Learning Using Transferable Features for Classification of Breast Cancer Histology Images
* 2019: CGC-Net: Cell Graph Convolutional Network for Grading of Colorectal Cancer Histology Images
* 2020: Context-Aware Convolutional Neural Network for Grading of Colorectal Cancer Histology Images
* 2023: Automated differentiation of skin melanocytes from keratinocytes in high-resolution histopathology images using a weakly-supervised deep-learning framework
Includes: Shaban, M.[Muhammad] Shaban, M.[Mohamed]
Shaban, W.M.[Warda M.]
* 2021: Accurate detection of COVID-19 patients based on distance biased Naïve Bayes (DBNB) classification strategy
Shabani, A.[Ahmad]
* 2017: Low-power DCT-based compressor for wireless capsule endoscopy
Shabani, A.H.[Amir Hossein]
* 2009: Towards a Robust Spatio-Temporal Interest Point Detection for Human Action Recognition
* 2010: Adaptive Motion Model for Human Tracking Using Particle Filter
* 2010: Human Action Recognition Using Salient Opponent-Based Motion Features
* 2010: Human Tracking Using Spatialized Multi-level Histogram and Mean Shift
* 2010: Nonlinear Scale Space Theory in Texture Classification Using Multiple Classifier Systems
* 2011: Improved Spatio-temporal Salient Feature Detection for Action Recognition
* 2012: Evaluation of Local Spatio-temporal Salient Feature Detectors for Human Action Recognition
* 2012: Regularized Gradient Kernel Anisotropic Diffusion for Better Image Filtering
* 2013: Multiple scale-specific representations for improved human action recognition
Includes: Shabani, A.H.[Amir Hossein] Shabani, A.H.[Amir-Hossein] Shabani, A.H.[Amir H.]
9 for Shabani, A.H.
Shabani, F.[Farzin]
* 2020: Forest Fire Susceptibility Prediction Based on Machine Learning Models with Resampling Algorithms on Remote Sensing Data
* 2020: Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data
* 2021: Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia
* 2021: Deep Neural Network Utilizing Remote Sensing Datasets for Flood Hazard Susceptibility Mapping in Brisbane, Australia
* 2023: Comprehensive Review of Geospatial Technology Applications in Earthquake Preparedness, Emergency Management, and Damage Assessment, A
Includes: Shabani, F.[Farzin] Shabani, F.[Fariborz]
Shabani, M.
* 2016: Toward a More Realistic, Cost-Effective, and Greener Ground Movement Through Active Routing: Part I: Optimal Speed Profile Generation
* 2023: Augmented bilinear network for incremental multi-stock time-series classification
Includes: Shabani, M. Shabani, M.[Mostafa]
Shabani, M.A.[Mohammad Amin]
* 2021: Extreme Structure from Motion for Indoor Panoramas without Visual Overlaps
* 2022: Vectorizing Building Blueprints
* 2023: HouseDiffusion: Vector Floorplan Generation via a Diffusion Model with Discrete and Continuous Denoising
Shabani, R.[Redjan]
* 2011: 3D Saliency maps
Shabani, S.[Shima]
* 2023: Efficient Line Search for Sparse Reconstruction, An
Shabaninia, E.[Elham]
* 2017: High-order Markov random field for single depth image super-resolution
Shabanloui, A.[Akbar]
* 2021: Earth's Time-Variable Gravity from GRACE Follow-On K-Band Range-Rates and Pseudo-Observed Orbits
Shabanov, A.
* 2020: Self-supervised Depth Denoising Using Lower- and Higher-quality RGB-D sensors
Shabanov, N.[Nikolay]
* 2003: High spatial resolution satellite observations for validation of MODIS land products: IKONOS observations acquired under the NASA Scientific Data Purchase
Shabanov, N.V.[Nikolay V.]
* 2023: Utility of Leaf Area Index for Monitoring Phenology of Russian Forests
Shabanov, P.[Pavel]
* 2021: Self- and Inter-Crossover Points of Jasons' Missions as New Essential Add-on of Satellite Altimetry in the Sub-Arctic Seas and the Southern Ocean
Shabanova, N.[Natalia]
* 2018: Dynamics of Permafrost Coasts of Baydaratskaya Bay (Kara Sea) Based on Multi-Temporal Remote Sensing Data
Shabany, M.[Mahdi]
* 2017: Critical object recognition in millimeter-wave images with robustness to rotation and scale
* 2018: Thorough approach toward cylindrical MMW image reconstruction using sparse antenna array
* 2019: K-Space Aware Multi-Static Millimeter-Wave Imaging
Includes: Shabany, M.[Mahdi] Shabany, M.
Shabanzade, F.[Fahim]
* 2020: Regularised IHS-based pan-sharpening approach using spectral consistency constraint and total variation
Shabarekh, C.[Charlotte]
* 2015: Activity Recognition Applications from Contextual Video-Text Fusion
Shabash, M.
* 2012: Object tracking using level set and MPEG 7 color features
Shabashev, A.V.[Andrew V.]
* 1997: Non-Archimedean normalized fields in texture analysis tasks
Shabat, A.M.M.[Abuobayda M.M.]
* 2016: Directional Local Binary Pattern for Texture Analysis
* 2017: Improved Scheme of Local Directional Pattern for Texture Analysis with an Application to Facial Expressions, An
* 2018: Angled local directional pattern for texture analysis with an application to facial expression recognition
Shabat, G.[Gil]
* 2009: Nonuniform sampling, image recovery from sparse data and the discrete sampling theorem
* 2015: Accelerating Particle Filter Using Randomized Multiscale and Fast Multipole Type Methods
Includes: Shabat, G.[Gil] Shabat, G.
Shabayek, A.E.[Abd El_Rahman]
* 2016: Automatic Nonlinear Filtering and Segmentation for Breast Ultrasound Images
* 2017: Deformation transfer of 3D human shapes and poses on manifolds
* 2019: BODYFITR: Robust Automatic 3D Human Body Fitting
* 2020: Going Deeper With Neural Networks Without Skip Connections
* 2021: Revisiting the Training of Very Deep Neural Networks without Skip Connections
Includes: Shabayek, A.E.[Abd El_Rahman] Shabayek, A.E.[A. El_Rahman]
Shabayek, A.E.R.
* 2017: Facial Expression Recognition via Joint Deep Learning of RGB-Depth Map Latent Representations
* 2018: 3DBodyTex: Textured 3D Body Dataset
* 2018: Highway Network Block with Gates Constraints for Training Very Deep Networks
* 2020: 3D Sparse Deformation Signature for Dynamic Face Recognition
Shabaz, M.[Mohammad]
* 2023: Data preprocessing and feature selection techniques in gait recognition: A comparative study of machine learning and deep learning approaches
* 2024: deep learning-based x-ray imaging diagnosis system for classification of tuberculosis, COVID-19, and pneumonia traits using evolutionary algorithm, A
Shabbir, A.
* 2015: Multivariate texture discrimination using a principal geodesic classifier
* 2021: Identifying the Spectral Signatures of Invasive and Native Plant Species in Two Protected Areas of Pakistan through Field Spectroscopy
* 2023: Mapping Lantana camara and Leucaena leucocephala in Protected Areas of Pakistan: A Geo-Spatial Approach
Includes: Shabbir, A. Shabbir, A.[Asad]
Shabbir, N.[Nazir]
* 2023: FgbCNN: A unified bilinear architecture for learning a fine-grained feature representation in facial expression recognition
Shabbir, S.[Sameem]
* 2010: Evaluation of Wavelet Kernels for Palmprint Based Recognition, An
Shabestari, P.[Peter]
* 2019: Integrated Hyperspectral and Geochemical Study of Sediment-Hosted Disseminated Gold at the Goldstrike District, Utah
Shabestari, Z.B.[Zahra Badamchi]
* 2023: Motorcycle Detection and Collision Warning Using Monocular Images from a Vehicle
Shabestary, S.M.A.[Soheil Mohamad Alizadeh]
* 2022: Adaptive Traffic Signal Control With Deep Reinforcement Learning and High Dimensional Sensory Inputs: Case Study and Comprehensive Sensitivity Analyses
Shabestary, T.
* 2018: Phase-Sensitive Joint Learning Algorithms for Deep Learning-Based Speech Enhancement
Shabhareesh, J.S.
* 2022: Plant leaf disease classification using deep neural network
Shabir, M.W.[Muhammad Wasif]
* 2023: Transmit and Reflect Beamforming for Max-Min SINR in IRS-Aided MIMO Vehicular Networks
Shabo, S.
* 2016: Region based fusion of 3D and 2D visual data for Cultural Heritage objects
Shabou, A.[Aymen]
* 2009: graph-cut based algorithm for approximate MRF optimization, A
* 2012: Bag-of-multimedia-words for image classification
* 2012: Locality-constrained and spatially regularized coding for scene categorization
* 2012: Multimodal feature generation framework for semantic image classification
* 2012: Urban Digital Elevation Model Reconstruction Using Very High Resolution Multichannel InSAR Data
* 2013: Multilabel partition moves for MRF optimization
Includes: Shabou, A.[Aymen] Shabou, A.
Shabou, M.[Marouen]
* 2015: Soil Clay Content Mapping Using a Time Series of Landsat TM Data in Semi-Arid Lands
Shabrina, Z.[Zahratu]
* 2022: Multi-Criteria Assessment for City-Wide Rooftop Solar PV Deployment: A Case Study of Bandung, Indonesia
Shabtai, A.[Asaf]
* 2018: Transfer Learning for User Action Identication in Mobile Apps via Encrypted Traffic Analysis
* 2021: Dodging Attack Using Carefully Crafted Natural Makeup
* 2021: Translucent Patch: A Physical and Universal Attack on Object Detectors, The
* 2022: Fair and accurate age prediction using distribution aware data curation and augmentation
* 2022: FEPC: Fairness Estimation Using Prototypes and Critics for Tabular Data
* 2023: Phantom Sponges: Exploiting Non-Maximum Suppression to Attack Deep Object Detectors
Includes: Shabtai, A.[Asaf] Shabtai, A.
Shabtay, G.
* 1997: Single-Output Color Pattern-Recognition Using a Fractional Correlator