Elgabli, A.
* 2019: Deadline and Buffer Constrained Knapsack Problem
* 2019: GiantClient: Video HotSpot for Multi-User Streaming
* 2020: FastScan: Robust Low-Complexity Rate Adaptation Algorithm for Video Streaming Over HTTP
Elgalal, M.
* 2017: On accuracy of personalized 3D-printed MRI-based models of brain arteries
ElGalladi, A.[Ahmed]
* 2020: Mapping the Groundwater Potentiality of West Qena Area, Egypt, Using Integrated Remote Sensing and Hydro-Geophysical Techniques
ElGamal, T.
* 2015: Cloud-Based Multimedia Content Protection System
Elgamel, M.A.
* 2009: Fast Variable Padding Motion Estimation Using Smart Zero Motion Prejudgment Technique for Pixel and Frequency Domains
Elgammal, A.[Ahmed]
* 2012: Single axis relative rotation from orthogonal lines
* 2012: Towards automated classification of fine-art painting style: A comparative study
* 2013: Early Framework for Determining Artistic Influence, An
* 2014: Computational Beauty: Aesthetic Judgment at the Intersection of Art and Science
* 2014: Head Pose Estimation by Instance Parameterization
* 2015: From circle to 3-sphere: Head pose estimation by instance parameterization
* 2017: Link the Head to the Beak: Zero Shot Learning from Noisy Text Description at Part Precision
* 2017: Modeling depth for nonparametric foreground segmentation using RGBD devices
* 2018: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts, A
* 2019: Graphical Contrastive Losses for Scene Graph Parsing
* 2019: Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning
* 2020: Sketch-to-art: Synthesizing Stylized Art Images from Sketches
* 2024: StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators
Includes: Elgammal, A.[Ahmed] Elgammal, A.
13 for Elgammal, A.
Elgammal, A.E.[Ahmed E.]
* 2010: Learning a Joint Manifold Representation from Multiple Data Sets
* 2013: Homeomorphic Manifold Analysis (HMA): Generalized separation of style and content on manifolds
* 2015: Weather classification with deep convolutional neural networks
* 2016: Learning representations from multiple manifolds
* 2016: SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition
* 2017: On the effect of hyperedge weights on hypergraph learning
* 2017: Relationship Proposal Networks
7 for Elgammal, A.E.
Elgammal, A.M.[Ahmed M.]
* 1999: Face Detection in Complex Environments from Color Images
* 1999: Non-Parametric Model for Background Subtraction
* 2001: Efficient Computation of Kernel Density Estimation using Fast Gauss Transform with Applications for segmentation and tracking
* 2001: Efficient Non-parametric Adaptive Color Modeling Using Fast Gauss Transform
* 2001: Graph-Based Segmentation and Feature-extraction Framework for Arabic Text Recognition, A
* 2001: Probabilistic Framework for Segmenting People Under Occlusion
* 2001: Techniques for language identification for hybrid Arabic-English document images
* 2002: Background and foreground modeling using nonparametric kernel density estimation for visual surveillance
* 2003: Efficient kernel density estimation using the fast gauss transform with applications to color modeling and tracking
* 2003: Learning dynamics for exemplar-based gesture recognition
* 2003: Probabilistic tracking in joint feature-spatial spaces
* 2003: scalable image-based multi-camera visual surveillance system, A
* 2004: Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-Sampling
* 2004: Inferring 3D body pose from silhouettes using activity manifold learning
* 2004: Nonlinear Generative Models for Dynamic Shape and Dynamic Appearance
* 2004: Separating style and content on a nonlinear manifold
* 2005: Learning to Track: Conceptual Manifold Map for Closed-Form Tracking
* 2005: Style Adaptive Bayesian Tracking Using Explicit Manifold Learning
* 2005: Towards Scalable View-Invariant Gait Recognition: Multilinear Analysis for Gait
* 2006: Carrying Object Detection Using Pose Preserving Dynamic Shape Models
* 2006: Discriminative Patch Selection using Combinatorial and Statistical Models for Patch-Based Object Recognition
* 2006: Edge affinity for pose-contour matching
* 2006: Framework for Feature Selection for Background Subtraction, A
* 2006: Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model
* 2006: Homeomorphic Manifold Analysis: Learning Decomposable Generative Models for Human Motion Analysis
* 2006: Learning Nonlinear Manifolds of Dynamic Textures
* 2006: Learning Policies for Efficiently Identifying Objects of Many Classes
* 2006: Learning to Detect Objects of Many Classes Using Binary Classifiers
* 2006: Learning to Identify Facial Expression During Detection Using Markov Decision Process
* 2006: Nonlinear Shape and Appearance Models for Facial Expression Analysis and Synthesis
* 2006: Simultaneous Inference of View and Body Pose using Torus Manifolds
* 2006: Statistically Selected Part-Based Probabilistic Model for Object Recognition, A
* 2006: Unsupervised Learning of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition
* 2007: Modeling View and Posture Manifolds for Tracking
* 2007: Nonlinear Dynamic Shape and Appearance Models for Facial Motion Tracking
* 2007: Nonlinear Manifold Learning for Dynamic Shape and Dynamic Appearance
* 2008: Boosting adaptive linear weak classifiers for online learning and tracking
* 2008: Human activity recognition from frame's spatiotemporal representation
* 2008: Information Theoretic Key Frame Selection for Action Recognition
* 2008: Object localization using affine invariant substructure constraints
* 2008: Role of Manifold Learning in Human Motion Analysis, The
* 2008: Spatiotemporal pyramid representation for recognition of facial expressions and hand gestures
* 2009: Contour Segment Matching by Integrating Intra and Inter Shape Cues of Objects
* 2009: Dynamic shape outlier detection for human locomotion
* 2009: Introduction to computer vision and image understanding the special issue on video analysis
* 2009: Tracking People on a Torus
* 2009: voting approach to learn affinity matrix for robust clustering, A
* 2010: Coupled Visual and Kinematic Manifold Models for Tracking
* 2010: Object Localization by Propagating Connectivity via Superfeatures
* 2010: One-shot multi-set non-rigid feature-spatial matching
* 2010: Putting local features on a manifold
* 2011: framework for global vehicle localization using stereo images and satellite and road maps, A
* 2011: Higher Order Markov Networks for Model Estimation
* 2011: Line-based relative pose estimation
* 2011: Regression from local features for viewpoint and pose estimation
* 2011: Supervised hypergraph labeling
* 2012: Non-linear factorised dynamic shape and appearance models for facial expression analysis and tracking
* 2012: Online Moving Camera Background Subtraction
* 2012: Segmentation of occluded sidewalks in satellite images
* 2012: Style adaptive contour tracking of human gait using explicit manifold models
* 2012: Video figure ground labeling
* 2013: Learning Speed Invariant Gait Template via Thin Plate Spline Kernel Manifold Fitting
* 2013: MKPLS: Manifold Kernel Partial Least Squares for Lipreading and Speaker Identification
* 2013: MultiClass Object Classification in Video Surveillance Systems: Experimental Study
* 2013: Object-Centric Anomaly Detection by Attribute-Based Reasoning
* 2013: Online Motion Segmentation Using Dynamic Label Propagation
* 2013: Video based activity recognition in trauma resuscitation
* 2013: Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions
* 2014: Globality-Locality Preserving Projections for Biometric Data Dimensionality Reduction
* 2014: Hierarchical Semantic Hashing: Visual Localization from Buildings on Maps
* 2014: Improving non-negative matrix factorization via ranking its bases
* 2014: Simultaneous Twin Kernel Learning Using Polynomial Transformations for Structured Prediction
* 2014: Spatial-Visual Label Propagation for Local Feature Classification
* 2014: Untangling Object-View Manifold for Multiview Recognition and Pose Estimation
* 2015: Factorization of view-object manifolds for joint object recognition and pose estimation
* 2015: Learning Hypergraph-regularized Attribute Predictors
* 2015: Overlapping Domain Cover for Scalable and Accurate Regression Kernel Machines
* 2016: Collaborative Graph Embedding: A Simple Way to Generally Enhance Subspace Learning Algorithms
* 2016: Joint Object Recognition and Pose Estimation Using a Nonlinear View-Invariant Latent Generative Model
* 2017: Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras, A
* 2017: Write a Classifier: Predicting Visual Classifiers from Unstructured Text
Includes: Elgammal, A.M.[Ahmed M.] Elgammal, A.M.
81 for Elgammal, A.M.
Elgar, S.
* 1997: Pattern-Recognition Using Invariants Defined from Higher-Order Spectra: 2-D Image Inputs
Elgarawany, A.
* 2006: Methodology for a Canadian agricultural land cover classification
Elgarrai, Z.[Zineb]
* 2016: Robust facial expression recognition system based on hidden Markov models
Elgawi, O.H.[Osman Hassab]
* 2007: Online incremental random forests
* 2008: Online random forests based on CorrFS and CorrBE
Elgazzar, K.
* 2020: Real-Time Object Processing and Routing for Intelligent Drones: A Novel Approach