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Face Recognition with Image Sets Using Manifold Density Divergence
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Human Face Recognition and the Face Image Set′s Topology
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Human Face Recognition and the Face Image Set's Topology
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Face Recognition Using Multi-viewpoint Patterns for Robot Vision
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Face Recognition from Long-Term Observations
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Face Identification by Fitting a 3D Morphable Model Using Linear Shape and Texture Error Functions
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Pattern Classification
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Visual learning and recognition of 3-d objects from appearance
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Probability and Random Processes
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Probabilistic recognition of human faces from video
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Statistical Color Models with Application to Skin Detection
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Robust Real-Time Face Detection
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The minimum description length principle in coding and modeling
inferredcites →https://doi.org/10.1109/34.598228openalex-snapshot
Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
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Face recognition: the problem of compensating for changes in illumination direction
inferredcites →https://doi.org/10.1109/acssc.1997.680208openalex-snapshot
A survey of face recognition algorithms and testing results
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Beyond eigenfaces: probabilistic matching for face recognition
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Face recognition using temporal image sequence
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View-based and modular eigenspaces for face recognition
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What is the set of images of an object under all possible lighting conditions?
inferredcites →https://doi.org/10.1109/cvpr.1998.698587openalex-snapshot
Illumination cones for recognition under variable lighting: faces
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Statistical color models with application to skin detection
inferredcites →https://doi.org/10.1109/cvpr.2003.1211369openalex-snapshot
Video-based face recognition using probabilistic appearance manifolds
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Survey on face recognition
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Face recognition based on fitting a 3D morphable model
inferredcites →https://doi.org/10.1145/311535.311556openalex-snapshot
A morphable model for the synthesis of 3D faces
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Mixtures of Probabilistic Principal Component Analyzers
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Face Recognition from Video Using the Generic Shape-Illumination Manifold
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Variational Prototype Learning for Deep Face Recognition
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Spherical Confidence Learning for Face Recognition
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Image Set-Based Face Recognition: A Local Multi-keypoint Descriptor-Based Approach
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Video-Based Object Recognition Using Novel Set-of-Sets Representations
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Robust object recognition in RGB-D egocentric videos based on Sparse Affine Hull Kernel
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Efficient Image Set Classification Using Linear Regression Based Image Reconstruction
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Face Recognition from Video by Matching Image Sets
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Regularized Least-Squares Coding with Unlabeled Dictionary for Image-Set Based Face Recognition
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Information Preserving Embeddings for Discrimination
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Prototype based feature learning for face image set classification
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Face recognition based on regularized nearest points between image sets
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Hierarchical approach to weight equations in face tracking and recognition framework
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A hierarchical training and identification method using Gaussian process models for face recognition in videos
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Joint regularized nearest points for image set based face recognition
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Probabilistic nearest neighbor search for robust classification of face image sets
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A Quantum Probability Inspired Framework for Image-Set Based Face Identification
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Gaussian Mixture Distribution Makes Data Uncertainty Learning Better
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Face Recognition with Image Sets Using Hierarchically Extracted Exemplars from Appearance Manifolds
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Incremental Kernel SVD for Face Recognition with Image Sets
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Object recognition with image set based on kernel information entropy
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A compact discriminative representation for efficient image-set classification with application to biometric recognition
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Video Face Recognition: Component-wise Feature Aggregation Network (C-FAN)
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MTRMS: A TMO-based Multi-Target Real-Time Monitoring System
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On Interactive Image Recognition for Human-Machine Interfacing
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Exemplar extraction using spatio-temporal hierarchical agglomerative clustering for face recognition in video
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Image Set Classification Using Holistic Multiple Order Statistics Features and Localized Multi-kernel Metric Learning
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Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs
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Probabilistic Face Embeddings
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Towards Large-Scale Face Recognition Based on Videos
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Fast and Accurate Face Recognition with Image Sets
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Feature Aggregation Network for Video Face Recognition
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Low Quality Video Face Recognition: Multi-Mode Aggregation Recurrent Network (MARN)
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Face virtual pose generation using aligned locally linear regression for face recognition
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Random Projections for face detection under resource constraints
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On rank aggregation for face recognition from videos
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Cleaning up after a face tracker: False positive removal
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Learning a perceptual manifold for image set classification
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A statistic manifold kernel with graph embedding discriminant analysis for action and expression recognition
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Attention-Aware Transformer-Based Aggregation Network for Video Periocular Recognition
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Collaborative reconstruction-based manifold-manifold distance for face recognition with image sets
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Finger-knuckle-print recognition based on image sets and convex optimization
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A novel finger-knuckle-print recognition based on convex optimization
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Face Recognition From Video using Active Appearance Model Segmentation
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Spatio-temporal Keypoints for Video-Based Face Recognition
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Kernel Dual Linear Regression for Face Image Set Classification
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Multiple Manifolds Metric Learning with Application to Image Set Classification
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Multi balanced trees for face retrieval from image database
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Video Face Recognition Using Neural Aggregation Networks with Mutual Relational Learning
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Robust Framework for intelligent Gripping Point Detection
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Grassmann Discriminant Analysis for Face Recoginition Based on Image Set
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Local Manifold Regularization for Knowledge Transfer in Convolutional Neural Networks
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Face sequence recognition using Grassmann Distances and Grassmann Kernels
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Image sequence recognition with active learning using uncertainty sampling
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Large margin image set representation and classification
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Generalized subspace distance for set-to-set image classification
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Video face matching using subset selection and clustering of probabilistic Multi-Region Histograms
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