Shak, K.[Kelvin]
* 2022: ProCAN: Progressive growing channel attentive non-local network for lung nodule classification
Shaka, A.[Ayub]
* 2014: Conceptual Flash Flood Early Warning System for Africa, Based on Terrestrial Microwave Links and Flash Flood Guidance, A
Shaked, A.
* 2017: Improved Stereo Matching with Constant Highway Networks and Reflective Confidence Learning
Shaked, D.[Doron]
* 1993: Implementing continuous-scale morphology via curve evolution
* 1994: Deriving Stopping Rules for the Probabilistic Hough Transform by Sequential-Analysis
* 1995: Evolutions of Planar Polygons
* 1995: Skeletonization via Distance Maps and Level Sets
* 1995: Skew Symmetry Detection via Invariant Signatures
* 1996: Curve Axis, The
* 1996: Deriving Stopping Rules for the Probabilistic Hough Transform by Sequential-Analysis
* 1997: On Projective Invariant Smoothing and Evolutions of Planar Curves and Polygons
* 1998: Pruning Medial Axes
* 1998: Skew Symmetry Detection via Invariant Signatures
* 2001: Invariant Signatures from Polygonal Approximations of Smooth Curves
* 2003: Graphical Indicia
* 2003: Reduced complexity Retinex algorithm via the variational approach
* 2003: Variational Framework for Retinex, A
* 2005: Sharpness Measure: Towards Automatic Image Enhancement
* 2005: Space-Dependent Color Gamut Mapping: A Variational Approach
* 2007: Noise and Signal Activity Maps for Better Imaging Algorithms
* 2008: Discriminative Approach for Wavelet Denoising, A
* 2010: robust similarity measure for automatic inspection, A
* 2011: Measuring the Quality of Quality Measures
* 2016: Lattice-Based Screen Set: Square N -Color All-Orders Moire-Free Screen Set, The
Includes: Shaked, D.[Doron] Shaked, D.
21 for Shaked, D.
Shaked, E.
* 2011: Iterative Shrinkage Approach to Restoration of Optical Imagery
Shaked, N.T.[Natan T.]
* 2019: Is multiplexed off-axis holography for quantitative phase imaging more spatial bandwidth-efficient than on-axis holography?
Shakeel, A.[Anza]
* 2019: Deep built-structure counting in satellite imagery using attention based re-weighting
Shakeel, M.S.[M. Saad]
* 2019: Deep-feature encoding-based discriminative model for age-invariant face recognition
* 2019: Learning sparse discriminant low-rank features for low-resolution face recognition
* 2022: Learning upper patch attention using dual-branch training strategy for masked face recognition
* 2022: Multi-scale attention guided network for end-to-end face alignment and recognition
* 2023: DDAD: Detachable Crowd Density Estimation Assisted Pedestrian Detection
Shakeel, P.M.[P. Mohamed]
* 2021: ADCCF: Adaptive deep concatenation coder framework for visual question answering
* 2021: Projection-dependent input processing for 3D object recognition in human robot interaction systems
Shaker, A.[Ahmed]
* 2003: Analysis of Terrain Elevation Effects on Ikonos Imagery Rectification Accuracy by Using Non-Rigorous Models
* 2008: Evaluation of LBTM for HRSI Rectification
* 2009: Aerial Images and Lidar Data Fusion for Automatic Feature Extraction using the Self-Organizing Map (SOM) Classifier
* 2010: Environmental monitoring of landfill sites using multi-temporal Landsat imagery
* 2010: Integrating multiple classifiers with fuzzy majority voting for improved land cover classification
* 2010: Radiometric calibration of airborne LiDAR intensity data for land cover classification
* 2010: Remote sensing techniques as a tool for runoff water estimation
* 2011: Effects of Laser Reflection Angle on Radiometric Correction Of The Airborne Lidar Intensity Data, The
* 2011: Pixel Vs Object-Based Image Classification Techniques For Lidar Intensity Data
* 2012: Improving classification accuracy of airborne LiDAR intensity data by geometric calibration and radiometric correction
* 2012: Land Cover Information Extraction Using Lidar Data
* 2012: Remote Sensing Techniques As A Tool For Environmental Monitoring
* 2013: Potential Accuracy of Traffic Signs' Positions Extracted From Google Street View
* 2014: Radiometric Correction and Normalization of Airborne LiDAR Intensity Data for Improving Land-Cover Classification
* 2014: Raster Vs. Point Cloud LiDAR Data Classification
* 2014: Use of Remote Sensing Technique to Predict Gross Domestic Product (GDP): An Analysis of Built-Up Index and GDP in Nine Major Cities in Canada, The
* 2016: Modeling the Relationship between the Gross Domestic Product and Built-Up Area Using Remote Sensing and GIS Data: A Case Study of Seven Major Cities in Canada
* 2016: Reduction Of Striping Noise In Overlapping Lidar Intensity Data By Radiometric Normalization
* 2018: Airborne LiDAR intensity banding: Cause and solution
* 2018: new method for 3D individual tree extraction using multispectral airborne LiDAR point clouds, A
* 2018: Remote Sensing of Leaf Area Index from LiDAR Height Percentile Metrics and Comparison with MODIS Product in a Selectively Logged Tropical Forest Area in Eastern Amazonia
* 2019: Automatic land-water classification using multispectral airborne LiDAR data for near-shore and river environments
* 2019: Scan Line Intensity-Elevation Ratio (SLIER): An Airborne LiDAR Ratio Index for Automatic Water Surface Mapping
* 2020: Direct Estimation of Forest Leaf Area Index based on Spectrally Corrected Airborne LiDAR Pulse Penetration Ratio
* 2020: Effects of radiometric correction on cover type and spatial resolution for modeling plot level forest attributes using multispectral airborne LiDAR data
* 2020: Preface: Technical Commission III
* 2020: Semi-automatic Approach for Optical and Lidar Data Integration Using Phase Congruency Model At Multiple Resolutions
* 2021: Fusion of Airborne LiDAR Point Clouds and Aerial Images for Heterogeneous Land-Use Urban Mapping
* 2021: Modeling and Processing of Smart Point Clouds of Cultural Relics with Complex Geometries
* 2022: Edgenext: Efficiently Amalgamated CNN-transformer Architecture for Mobile Vision Applications
* 2022: Evaluation of LiDAR-Derived Features Relevance and Training Data Minimization for 3D Point Cloud Classification
* 2023: SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications
Includes: Shaker, A.[Ahmed] Shaker, A. Shaker, A.[Abdelrahman]
32 for Shaker, A.
Shaker, A.H.[Amir Hossein]
* 2019: Assisted Excitation of Activations: A Learning Technique to Improve Object Detectors
Shaker, E.A.[Esraa Asem]
* 2023: Advanced imaging system for brain tumor automatic classification from MRI images using HOG and BOF feature extraction approaches
Shaker, F.
* 2017: Classification of human sperm heads using elliptic features and LDA
Shaker, G.[George]
* 2020: Blood Glucose Level Monitoring Using an FMCW Millimeter-Wave Radar Sensor
* 2024: Comprehensive Review: Effectiveness of MIMO and Beamforming Technologies in Detecting Low RCS UAVs
Shaker, I.
* 2011: Building Extraction from High Resolution Space Images in High Density Residential Areas in the Great Cairo Region
Shaker, K.
* 2020: Longitudinal In-Vivo X-Ray Fluorescence Computed Tomography With Molybdenum Nanoparticles
* 2021: In Silico Phase-Contrast X-Ray Imaging of Anthropomorphic Voxel-Based Phantoms
* 2023: Fake Colorized Image Detection Approaches: A Review
Includes: Shaker, K. Shaker, K.[Khalid]
Shaker, M.[Matineh]
* 2008: Voxel-Based Morphometric Study of Brain Regions from Magnetic Resonance Images in Temporal Lobe Epilepsy
* 2017: Convolutional Neural Network-Based Deep Urban Signatures with Application to Drone Localization
* 2018: NU-Net: Deep Residual Wide Field of View Convolutional Neural Network for Semantic Segmentation
* 2020: generic unfolding algorithm for manifolds estimated by local linear approximations, A
Includes: Shaker, M.[Matineh] Shaker, M.
Shaker, N.
* 2013: Fusing Visual and Behavioral Cues for Modeling User Experience in Games
Shaker, S.
* 2020: Precise Statistical Approach for Leaf Segmentation
Shaker, S.B.[Saher B.]
* 2010: Multiple Classifier Systems in Texton-Based Approach for the Classification of CT Images of Lung
* 2010: Quantitative Analysis of Pulmonary Emphysema Using Local Binary Patterns
Includes: Shaker, S.B.[Saher B.] Shaker, S.B.
Shakerdonyavi, M.
* 2015: Large-Scale Image Retrieval Using Local Binary Patterns and Iterative Quantization
Shakeri, M.[Majid]
* 2009: Multimodality Image Registration Utilizing Ant Colony Algorithm
* 2011: Robust Zero-Watermark Copyright Protection Scheme Based on DWT and Image Normalization, A
* 2013: Enriching Spatial Data Infrastructure (SDI) by User Generated Contents for Transportation
* 2015: Joint Feature Selection with Low-rank Dictionary Learning
* 2016: COROLA: A sequential solution to moving object detection using low-rank approximation
* 2016: Deep Spectral-Based Shape Features for Alzheimer's Disease Classification
* 2017: Face Recognition Using Multi-Modal Low-Rank Dictionary Learning
* 2017: Moving Object Detection in Time-Lapse or Motion Trigger Image Sequences Using Low-Rank and Invariant Sparse Decomposition
* 2019: Moving Object Detection Under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition
Includes: Shakeri, M.[Majid] Shakeri, M.[Mahsa] Shakeri, M. Shakeri, M.[Moein]
9 for Shakeri, M.
Shakeri, S.
* 2019: Joint Prostate Cancer Detection and Gleason Score Prediction in mp-MRI via FocalNet
Shakeri, Z.[Zahed]
* 2023: Combination of UAV Photogrammetry and Field Inventories Enables Description of Height-Diameter Relationship within Semi-Arid Silvopastoral Systems
Shakerian, M.[Mahyar]
* 2019: How Groundwater Level Fluctuations and Geotechnical Properties Lead to Asymmetric Subsidence: A PSInSAR Analysis of Land Deformation over a Transit Corridor in the Los Angeles Metropolitan Area
Shakerian, R.[Reza]
* 2022: Proposing a Fuzzy Soft-max-based classifier in a hybrid deep learning architecture for human activity recognition
Shakernia, O.
* 2002: Infinitesimal motion estimation from multiple central panoramic views
Shakeyor, L.
* 1996: Fractal Analysis of Bone Images
Shakhari, S.[Swapan]
* 2021: SPEA-Based Multimetric Routing Protocol for Intelligent Transportation Systems, A
Shakher, C.[Chandra]
* 2020: Early detection of cancerous tissues in human breast utilizing near field microwave holography
Shakhnarovic, G.[Greg]
* 2019: AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results
Shakhnarovich, G.
* 2001: Integrated Face and Gait Recognition from Multiple Views
* 2002: Face Recognition from Long-Term Observations
* 2002: On probabilistic combination of face and gait cues for identification
* 2002: unified learning framework for real time face detection and classification, A
* 2003: Bayesian approach to image-based visual hull reconstruction, A
* 2003: Fast Pose Estimation with Parameter-Sensitive Hashing
* 2003: Fast Pose Estimation with Parameter-Sensitive Hashing
* 2003: Inferring 3D Structure with a Statistical Image-Based Shape Model
* 2003: Inferring 3D Structure with a Statistical Image-Based Shape Model
* 2004: Virtual Visual Hulls: Example-Based 3D Shape Estimation from a Single Silhouette
* 2004: Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes
* 2005: Avoiding the Streetlight Effect: Tracking by Exploring Likelihood Modes
* 2005: Face Recognition with Image Sets Using Manifold Density Divergence
* 2006: Conditional Random People: Tracking Humans with CRFs and Grid Filters
* 2011: Viewpoint-aware object detection and pose estimation
* 2012: Diverse M-Best Solutions in Markov Random Fields
* 2012: Viewpoint-aware object detection and continuous pose estimation
* 2013: Discriminative Re-ranking of Diverse Segmentations
* 2013: Fingerspelling Recognition with Semi-Markov Conditional Random Fields
* 2013: Image Segmentation by Cascaded Region Agglomeration
* 2013: Part Discovery from Partial Correspondence
* 2014: Knowing a Good HOG Filter When You See It: Efficient Selection of Filters for Detection
* 2014: Part and Attribute Discovery from Relative Annotations
* 2015: Feedforward semantic segmentation with zoom-out features
* 2016: Learning Representations for Automatic Colorization
* 2017: Colorization as a Proxy Task for Visual Understanding
* 2017: Comprehension-Guided Referring Expressions
* 2017: Training Deep Networks to be Spatially Sensitive
* 2018: Deep Back-Projection Networks for Super-Resolution
* 2018: Discriminability Objective for Training Descriptive Captions
* 2018: Regularizing Deep Networks by Modeling and Predicting Label Structure
* 2018: Self-Supervised Relative Depth Learning for Urban Scene Understanding
* 2019: AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results
* 2019: Fingerspelling Recognition in the Wild With Iterative Visual Attention
* 2019: Recurrent Back-Projection Network for Video Super-Resolution
* 2019: Style Transfer by Relaxed Optimal Transport and Self-Similarity
* 2020: Deformable Style Transfer
* 2020: Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion
* 2020: Pixel Consensus Voting for Panoptic Segmentation
* 2020: Space-Time-Aware Multi-Resolution Video Enhancement
* 2021: Deep Back-Projecti Networks for Single Image Super-Resolution
* 2021: Fingerspelling Detection in American Sign Language
* 2021: Information-Theoretic Segmentation by Inpainting Error Maximization
* 2022: Deep Back-Projecti Networks for Single Image Super-Resolution
* 2022: Depth Field Networks For Generalizable Multi-View Scene Representation
* 2023: Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation
Includes: Shakhnarovich, G. Shakhnarovich, G.[Gregory] Shakhnarovich, G.[Greg]
46 for Shakhnarovich, G.
Shakhrai, V.[Vladislav]
* 2023: Real-Time Neural Light Field on Mobile Devices
Shakhuro, V.[Vlad]
* 2018: Deep probabilistic human pose estimation
* 2022: Interactive Image Segmentation with Transformers
Shakib, V.[Vedaad]
* 2022: Reliable Visual Question Answering: Abstain Rather Than Answer Incorrectly
Shakibaei, B.H.[Barmak Honarvar]
* 2021: DCT/IDCT Filter Design for Ultrasound Image Filtering
Shakibajahromi, B.[Bahareh]
* 2015: Improved Poisson Surface Reconstruction with Various Passive Visual Cues from Multiple Camera Views
* 2017: Autonomous Multi-camera Tracking Using Distributed Quadratic Optimization
* 2021: HyNet: 3D Segmentation Using Hybrid Graph Networks
* 2024: RIMeshGNN: A Rotation-Invariant Graph Neural Network for Mesh Classification
Shakiban, C.
* 1998: Differential and Numerically Invariant Signature Curves Applied to Object Recognition
* 2016: Automatic Reassembly of Three-Dimensional Jigsaw Puzzles
* 2020: Computation of Circular Area and Spherical Volume Invariants via Boundary Integrals
Includes: Shakiban, C. Shakiban, C.[Chehrzad]
Shakibapour, E.[Elham]
* 2018: Classification of Breast Cancer Histology Images Through Transfer Learning Using a Pre-trained Inception Resnet V2
Shakibi, S.
* 2019: Improved Indoor Positioning Technique Based On a Geographic Weighted Regression
Shakil, A.
* 2008: Analysis of the Effect of Different Features' Performance on Hidden Markov Modeling Based Online and Offline Signature Verification Systems
Shakil, O.
* 2006: Multiple-Sensor Indoor Surveillance System
Shakir, A.K.[Asif Khan]
* 2009: Combinatorial Color Space Models for Skin Detection in Sub-continental Human Images
Shakir, D.I.[Dzhoshkun I.]
* 2016: Combined EM and Visual Tracking Probabilistic Model for Robust Mosaicking: Application to Fetoscopy, A
* 2021: Zero-Shot Super-Resolution With a Physically-Motivated Downsampling Kernel for Endomicroscopy
Includes: Shakir, D.I.[Dzhoshkun I.] Shakir, D.I.[Dzhoshkun Ismail]
Shakir, M.[Muhammad]
* 2012: Video Summarization: Techniques and Classification
* 2015: Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA
* 2016: Classification of Small-Scale Eucalyptus Plantations Based on NDVI Time Series Obtained from Multiple High-Resolution Datasets
* 2023: IoT-based real time clinical healthcare system for aging and underprivileged areas
* 2024: improvement in IoT-based smart trash management system using Raspberry Pi, An
Shakir, M.Z.[Muhammad Zeeshan]
* 2021: Resource Efficient Vehicle-to-Grid (V2G) Communication Systems for Electric Vehicle Enabled Microgrids
Shaklabadi, Z.[Zohreh]
* 2020: Urban Heat Island Monitoring and Impacts on Citizen's General Health Status in Isfahan Metropolis: A Remote Sensing and Field Survey Approach
Shakoor, A.[Awais]
* 2020: Investigating the Impacts of the COVID-19 Lockdown on Trace Gases Using Ground-Based MAX-DOAS Observations in Nanjing, China
Shakoor, M.H.
* 2018: Fabric classification using new mapping of local binary pattern
* 2019: Lung tumour detection by fusing extended local binary patterns and weighted orientation of difference from computed tomography
Includes: Shakoor, M.H. Shakoor, M.H.[Mohammad Hossein]
Shakoor, N.[Nadia]
* 2019: UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras
* 2019: Vegetation Index Weighted Canopy Volume Model (CVMVI) for soybean biomass estimation from Unmanned Aerial System-based RGB imagery
* 2020: Quantifying Leaf Chlorophyll Concentration of Sorghum from Hyperspectral Data Using Derivative Calculus and Machine Learning
* 2021: Classification and Visualization of Genotype-Phenotype Interactions in Biomass Sorghum
* 2021: Multi-resolution Outlier Pooling for Sorghum Classification
* 2024: Early Detection of Drought Stress in Durum Wheat Using Hyperspectral Imaging and Photosystem Sensing
Shakouri, A.
* 2002: statistical analysis of diffraction-limited imaging, A
Shakti, M.[Mulya]
* 2016: Tropical Peatland Burn Depth and Combustion Heterogeneity Assessed Using UAV Photogrammetry and Airborne LiDAR
Shakunaga, T.
* 1986: Perspective Angle Transform and Its Application to 3-D Configuration Recovery
* 1988: Shape From Angles Under Perspective Projection
* 1989: Perspective Angle Transform: Principle of Shape from Angles
* 1991: Pose Estimation of Jointed Structures
* 1992: 3-D Corridor Scene Modeling from a Single View under Natural Lighting Conditions
* 1993: Robust Line-Based Pose Estimation from a Single Image
* 1996: Invariant Histograms and Deformable Template Matching for SAR Target Recognition
* 1996: Model-Based SAR ATR System
* 1996: SAR Target Recognition Based on Invariant Histograms and Deformable Template Matching
* 1998: Integration of Eigentemplate and Structure Matching for Automatic Facial Feature Detection
* 1998: Successive Pose Clustering for Steroscopic Object Recognition
* 1999: Passive Range Sensing Techniques: Depth from Images
* 2001: Decomposed Eigenface for Face Recognition under Various Lighting Conditions
* 2001: Photometric Image-Based Rendering for Image Generation in Arbitrary Illumination
* 2002: Natural image correction by iterative projections to eigenspace constructed in normalized image space
* 2003: Digital Archives and Virtual Exhibitions of Tangible and Intangible Cultural Heritages
* 2004: Multiple target tracking by appearance-based condensation tracker using structure information
* 2004: Robust face recognition by combining projection-based image correction and decomposed eigenface
* 2005: Collaboration of geometry and photometry for virtual exhibitions of tangible and intangible cultural heritages
* 2005: Coordination of appearance and motion data for virtual view generation of traditional dances
* 2006: Classification of Photometric Factors Based on Photometric Linearization
* 2006: Gaussian Decomposition for Robust Face Recognition
* 2006: One-Dimensional Search for Reliable Epipole Estimation
* 2006: Real-life Test of Face Recognition System for Dialogue Interface Robot in Ubiquitous Environments, A
* 2007: Analysis of photometric factors based on photometric linearization
* 2007: Evaluation of Epipole Estimation Methods with/without Rank-2 Constraint across Algebraic/Geometric Error Functions
* 2008: Direct Bundle Estimation for Recovery of Shape, Reflectance Property and Light Position
* 2009: Automatic Eigentemplate Learning for Sparse Template Tracker
* 2010: Dance motion analysis by correlation matrix between pose sequences
* 2011: Directional Eigentemplate Learning for Sparse Template Tracker
* 2011: Sparse eigentracker augmented by associative mapping to 3D shape
* 2011: Specular-Free Residual Minimization for Photometric Stereo with Unknown Light Sources
* 2012: Real-time face tracking and recognition by sparse eigentracker with associative mapping to 3D shape
* 2013: Hierarchical approach to weight equations in face tracking and recognition framework
* 2015: Challenge to Scalability of Face Recognition Using Universal Eigenface
Includes: Shakunaga, T. Shakunaga, T.[Takeshi]
35 for Shakunaga, T.
Shakur, A.H.[Ameer Hamza]
* 2021: GPSRL: Learning Semi-Parametric Bayesian Survival Rule Lists from Heterogeneous Patient Data
Shakya, A.[Achala]
* 2023: Fusion and Classification of SAR and Optical Data Using Multi-Image Color Components with Differential Gradients
Shakya, P.[Puja]
* 2018: Integrated Participatory and Collaborative Risk Mapping for Enhancing Disaster Resilience
* 2022: Open-Source Data Alternatives and Models for Flood Risk Management in Nepal
Shakya, S.[Snehlata]
* 2019: Characterising and predicting the movement of clouds using fractional-order optical flow