Bougacha, A.[Aymen]
Co Author Listing * Enhanced Text Extraction from Arabic Degraded Document Images Using EM Algorithm
Bougamouza, F.[Fateh]
Co Author Listing * Normalisation of handwriting speed for online Arabic characters recognition
Bouganis, A.[Alexandros]
Co Author Listing * Flexible object recognition in cluttered scenes using relative point distribution models
* Object Detection for a Humanoid Robot Using a Probabilistic Global Workspace
Bouganis, C.[Christos]
Co Author Listing * Context-based image acquisition from memory in digital systems
* Face hallucination revisited: A joint framework
Bouganis, C.S.[Christos Savvas]
Co Author Listing * Augmenting Softmax Information for Selective Classification with Out-of-distribution Data
* Class-based Multiple Light Detection: An Application to Faces
* Feature selection with geometric constraints for vision-based Unmanned Aerial Vehicle navigation
* Multi-person 3D pose estimation from 3D cloud data using 3D convolutional neural networks
* Multiple Light Source Detection
* Now that I can see, I can improve: Enabling data-driven finetuning of CNNs on the edge
* perf4sight: A toolflow to model CNN training performance on Edge GPUs
* Real-time hardware acceleration of the trace transform
* Robust Human Pose Tracking For Realistic Service Robot Applications
* Robust multi-image based blind face hallucination
* sensor-based approach to linear blur identification for real-time video enhancement, A
* Spatiotemporal Saliency Framework, A
* Statistical multiple light source detection
* SVD-NAS: Coupling Low-Rank Approximation and Neural Architecture Search
* Video enhancement on an adaptive image sensor
* Vision-Based Egomotion Estimation on FPGA for Unmanned Aerial Vehicle Navigation
* Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models
Includes: Bouganis, C.S.[Christos Savvas] Bouganis, C.S.[Christos-Savvas] Bouganis, C.S.
17 for Bouganis, C.S.
Bougard, F.[Francois]
Co Author Listing * Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis
Includes: Bougard, F.[Francois] Bougard, F.[François]
Bougarradh, A.[Ahlem]
Co Author Listing * Unsupervised Classification of Synthetic Aperture Radar Imagery Using a Bootstrap Version of the Generalized Mixture Expectation Maximization Algorithm
Bougeois, O.
Co Author Listing * Numeral Amount Recognition on Multi-Bank Checks
* Postal Check Reading System, A
Bouges, P.[Pierre]
Co Author Listing * Handling missing weak classifiers in boosted cascade: application to multiview and occluded face detection
* Using k-nearest neighbors to handle missing weak classifiers in a boosted cascade
Bouget, D.
Co Author Listing * Detecting Surgical Tools by Modelling Local Appearance and Global Shape
Bouget, L.[Loic]
Co Author Listing * Efficient Compression of Visibility Sets
Bouget, V.[Vincent]
Co Author Listing * Fusion of Rain Radar Images and Wind Forecasts in a Deep Learning Model Applied to Rain Nowcasting
Boughaci, D.[Dalila]
Co Author Listing * efficient multiple classifier system for Arabic handwritten words recognition, An
* Graph based model for information retrieval using a stochastic local search
* New Method to Improve Quality of Reconstructed Images in Tomography, A
Boughattas, N.[Naouel]
Co Author Listing * Brain tumor segmentation from multiple MRI sequences using multiple kernel learning
Boughazi, M.
Co Author Listing * Empirical mode decomposition for online handwritten signature verification
* Multimodal biometric recognition systems using deep learning based on the finger vein and finger knuckle print fusion
Includes: Boughazi, M. Boughazi, M.[Mohamed]
Boughner, D.
Co Author Listing * Rapid Dynamic Image Registration of the Beating Heart for Diagnosis and Surgical Navigation
Boughnim, N.[Nabil]
Co Author Listing * Hand Posture Classification by Means of a New Contour Signature
Boughorbel, F.[Faysal]
Co Author Listing * Automatic Registration of 3D Datasets using Gaussian Fields
* Estimating 3D camera motion without correspondences using a search for the best structure
* Gaussian energy functions for registration without correspondences
* Gaussian fields: a new criterion for 3D rigid registration
* Multiscale Fusion of Visible and Thermal IR Images for Illumination-Invariant Face Recognition
* New Method for Automatic 3D Face Registration, A
* new method for the registration of three-dimensional point-sets: The Gaussian Fields framework, A
* New Multiple-Windows Depth from Stereo Algorithm for 3D Displays, A
8 for Boughorbel, F.
Boughorbel, S.[Sabri]
Co Author Listing * Accurate eye localization in low and standard definition content
* Baby-Posture Classification from Pressure-Sensor Data
* Comparison of face matching techniques under pose variation
* Eye localization for face matching: is it always useful and under what conditions?
* Eye localization in low and standard definition content with application to face matching
* Generalized Histogram Intersection Kernel for Image Recognition
* Non-Mercer Kernels for SVM Object Recognition
* Object Predetection Based on Kernel Parametric Distribution Fitting
* Online training of object detectors from unlabeled surveillance video
Includes: Boughorbel, S.[Sabri] Boughorbel, S.
9 for Boughorbel, S.
Boughrara, H.[Hayet]
Co Author Listing * Face recognition based on perceived facial images and multilayer perceptron neural network using constructive training algorithm
* Facial Expression Recognition Based on Perceived Facial Images and Local Feature Matching
Boughton, J.
Co Author Listing * Not So Naive Bayes: Aggregating One-Dependence Estimators
Bougioukos, P.[Panagiotis]
Co Author Listing * Assessing Estrogen Receptors' Status by Texture Analysis of Breast Tissue Specimens and Pattern Recognition Methods
* Biomarker Selection System, Employing an Iterative Peak Selection Method, for Identifying Biomarkers Related to Prostate Cancer
* Development of a Cascade Processing Method for Microarray Spot Segmentation
Bougler, B.
Co Author Listing * Real-World Application of Lane-Guidance Technologies: Automated Snowblower, A
Bougleux, S.
Co Author Listing * 3D Colored Mesh Structure-Preserving Filtering with Adaptive P-Laplacian on Directed Graphs
* Anisotropic Geodesics for Perceptual Grouping and Domain Meshing
* Approximate Graph Edit Distance Guided by Bipartite Matching of Bags of Walks
* Approximating GED Using a Stochastic Generator and Multistart IPFP
* Approximating Graph Edit Distance Using GNCCP
* Combination of Piecewise-Geodesic Paths for Interactive Segmentation
* Deep learning based automatic detection of uninformative images in pulmonary optical endomicroscopy
* differentiable approximation for the Linear Sum Assignment Problem with Edition, A
* Discrete Regularization on Weighted Graphs for Image and Mesh Filtering
* Fast linear sum assignment with error-correction and no cost constraints
* Graph edit distance as a quadratic assignment problem
* Graph edit distance as a quadratic program
* Graph edit distance contest: Results and future challenges
* Graph regularization for color image processing
* Hungarian Algorithm for Error-Correcting Graph Matching, A
* Image compression with anisotropic triangulations
* Image Smoothing and Segmentation by Graph Regularization
* Improved local search for graph edit distance
* Kernel-Based Implicit Regularization of Structured Objects
* Learning Recurrent High-order Statistics for Skeleton-based Hand Gesture Recognition
* Local and Nonlocal Discrete Regularization on Weighted Graphs for Image and Mesh Processing
* Local Patterns and Supergraph for Chemical Graph Classification with Convolutional Networks
* Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition, A
* Non-local Regularization of Inverse Problems
* Nonlocal Discrete Regularization on Weighted Graphs: A Framework for Image and Manifold Processing
* p-Laplacian Regularization of Signals on Directed Graphs
* Parameterless Discrete Regularization on Graphs for Color Image Filtering
* Patch-Based Potentials for Interactive Contour Extraction
* Quasimetric Graph Edit Distance as a Compact Quadratic Assignment Problem
* Ring Based Approximation of Graph Edit Distance
* Shape Similarity Based on a Treelet Kernel with Edition
* Shape similarity based on combinatorial maps and a tree pattern kernel
* Structure Detection from a 3D Set of Points with Anisotropic Alpha-Shapes
* Three-Dimensional Structure Detection from Anisotropic Alpha-Shapes
Includes: Bougleux, S. Bougleux, S.[Sébastien] Bougleux, S.[Sebastien]
34 for Bougleux, S.
Bougnoux, S.[Sylvain]
Co Author Listing * Home Page.
* email: Bougnoux, S.[Sylvain]: sbougnou AT sophia inria fr
* 3D parking assistant system
* From Projective to Euclidean Space Under any Practical Situation, a Criticism of Self-Calibration
* Imposing Euclidean Constraints During Self-Calibration Processes
Includes: Bougnoux, S.[Sylvain] Bougnoux, S.
Bougourzi, F.[Fares]
Co Author Listing * CNR-IEMN-CD and CNR-IEMN-CSD Approaches for Covid-19 Detection and Covid-19 Severity Detection from 3d Ct-scans
* Fusion of transformed shallow features for facial expression recognition
* ILC-Unet++ for Covid-19 Infection Segmentation
Bougre, M.
Co Author Listing * Efficient Detection of Pixel-Level Adversarial Attacks
Bougrine, A.
Co Author Listing * joint snake and atlas-based segmentation of plantar foot thermal images, A
Bouguechal, N.E.
Co Author Listing * Electrocardiogram Compression Method Based on the Adaptive Wavelet Coefficients Quantization Combined to a Modified Two-Role Encoder
Bouguelia, M.R.[Mohamed Rafik]
Co Author Listing * adaptive streaming active learning strategy based on instance weighting, An
* Document image and zone classification through incremental learning
* Efficient Active Novel Class Detection for Data Stream Classification
* Multipage Administrative Document Stream Segmentation
* Stream-Based Semi-supervised Active Learning Approach for Document Classification, A
Includes: Bouguelia, M.R.[Mohamed Rafik] Bouguelia, M.R.[Mohamed-Rafik]
Bouguessa, M.[Mohamed]
Co Author Listing * Context Matters: Self-Attention for Sign Language Recognition
* contrastive variational graph auto-encoder for node clustering, A
* K-means-based Algorithm for Projective Clustering, A
* objective approach to cluster validation, An
Bouguet, A.[Arnaud]
Co Author Listing * Fast nonparametric belief propagation for real-time stereo articulated body tracking
Bouguet, J.Y.[Jean Yves]
Co Author Listing * email: Bouguet, J.Y.[Jean Yves]: bouguet AT vision caltech edu
* 3D Photography on Your Desk
* 3D Photography Using Shadows in Dual-Space Geometry
* Calibration of visual sensors and actuators in distributed computing platforms
* Data-Driven Model for Monocular Face Tracking, A
* Matlab Camera Calibration Toolbox
* Model-based face tracking for view-independent facial expression recognition
* Real Time System for Robust 3D Voxel Reconstruction of Human Motions, A
* Rolling Shutter Stereo
* Stereo based Gesture Recognition Invariant to 3D Pose and Lighting
* Street view goes indoors: Automatic pose estimation from uncalibrated unordered spherical panoramas
* Visual Navigation Using a Single Camera
* What Do Planar Shadows Tell Us About Scene Geometry?
Includes: Bouguet, J.Y.[Jean Yves] Bouguet, J.Y.[Jean-Yves] Bouguet, J.Y.
13 for Bouguet, J.Y.
Bouguettaya, A.[Athman]
Co Author Listing * Efficient Near-Duplicate Video Shot Detection Method Using Shot-Based Interest Points, An
Bouguezel, S.
Co Author Listing * Reciprocal-Orthogonal Parametric Transform and Its Fast Algorithm, A
Bouguila, N.[Nizar]
Co Author Listing * Automatic Inpainting Scheme for Video Text Detection and Removal
* Background subtraction using finite mixtures of asymmetric Gaussian distributions and shadow detection
* Background subtraction using infinite asymmetric Gaussian mixture models with simultaneous feature selection
* Bandlet-based sparsity regularization in video inpainting
* Bayesian hybrid generative discriminative learning based on finite Liouville mixture models
* Bayesian inference framework for bounded generalized Gaussian-based mixture model and its application to biomedical images classification
* Bayesian Learning of Infinite Asymmetric Gaussian Mixture Models for Background Subtraction
* Bayesian Non-Gaussian Mixture Analysis: Application to Eye Modeling, A
* BLOCK-DBSCAN: Fast clustering for large scale data
* clique potential of Markov random field in a random experiment for estimation of noise levels in 2D brain MRI, The
* Color texture classification by a discrete statistical model and feature selection
* Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting
* Data-free metrics for Dirichlet and generalized Dirichlet mixture-based HMMs: A practical study
* Dimensionality Reduction of Proportional Data Through Data Separation Using Dirichlet Distribution
* Discrete data clustering using finite mixture models
* Discrete visual features modeling via leave-one-out likelihood estimation and applications
* Dynamic Textures Clustering Using a Hierarchical Pitman-Yor Process Mixture of Dirichlet Distributions
* Embedded Spherical Topic Models for Supervised Learning
* Enhanced IR face recognition using Bayesian unsupervised algorithm
* Entropy-based variational Bayes learning framework for data clustering
* fast clustering algorithm based on pruning unnecessary distance computations in DBSCAN for high-dimensional data, A
* Finite asymmetric generalized Gaussian mixture models learning for infrared object detection
* Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation
* Flexible Statistical Model for Image Denoising, A
* Four-neighborhood clique kernel: A general framework for Bayesian and variational techniques of noise reduction in magnetic resonance images of the brain
* Generalized Gaussian mixture models as a nonparametric Bayesian approach for clustering using class-specific visual features
* Generalized Inverted Dirichlet Optimal Predictor for Image Inpainting
* Generating Video Textures by PPCA and Gaussian Process Dynamical Model
* Graph Neural Networks for Intelligent Transportation Systems: A Survey
* High-Dimensional Unsupervised Selection and Estimation of a Finite Generalized Dirichlet Mixture Model Based on Minimum Message Length
* Hybrid Feature Extraction Selection Approach for High-Dimensional Non-Gaussian Data Clustering, A
* Hybrid SEM Algorithm for High-Dimensional Unsupervised Learning Using a Finite Generalized Dirichlet Mixture, A
* Hybrid Statistical Framework for Diabetic Retinopathy Detection
* Hyperspectral Video Super-Resolution Using Beta Process and Bayesian Dictionary Learning
* Image and Video Segmentation by Combining Unsupervised Generalized Gaussian Mixture Modeling and Feature Selection
* Image and video spatial super-resolution via bandlet-based sparsity regularization and structure tensor
* Image Categorization Using Agglomerative Clustering Based Smoothed Dirichlet Mixtures
* Image Text Detection Using a Bandlet-Based Edge Detector and Stroke Width Transform
* Improved Online Support Vector Machines Spam Filtering Using String Kernels
* Improved Training for 3D Point Cloud Classification
* Indoor Scene Recognition with a Visual Attention-Driven Spatial Pooling Strategy
* Infinite Generalized Gaussian Mixture Modeling and Applications
* Infinite Liouville mixture models with application to text and texture categorization
* Interactive Generalized Dirichlet Mixture Allocation Model
* Light Field Super-Resolution Using Edge-Preserved Graph-Based Regularization
* MML-Based Approach for High-Dimensional Unsupervised Learning Using the Generalized Dirichlet Mixture
* MoundCount: A detection-based approach for automatic counting of planting microsites on UAV images
* Multimodal action recognition using variational-based Beta-Liouville hidden Markov models
* new latent generalized dirichlet allocation model for image classification, A
* Non-Gaussian mixture image models prediction
* nonparametric Bayesian approach for enhanced pedestrian detection and foreground segmentation, A
* Nonparametric Hierarchical Bayesian Model and Its Application on Multimodal Person Identity Verification, A
* Nonparametric learning approach based on infinite flexible mixture model and its application to medical data analysis
* Nonparametric variational learning of multivariate beta mixture models in medical applications
* Oil Spill Detection in SAR Images Using Online Extended Variational Learning of Dirichlet Process Mixtures of Gamma Distributions
* Online Facial Expression Recognition Based on Finite Beta-Liouville Mixture Models
* Online Learning for Beta-Liouville Hidden Markov Models: Incremental Variational Learning for Video Surveillance and Action Recognition
* Online redundant image elimination and its application to wireless capsule endoscopy
* Online variational inference on finite multivariate Beta mixture models for medical applications
* Online variational learning of finite inverted Beta-Liouville mixture model for biomedical analysis
* Online Video Textures Generation
* Plug-and-Play video super-resolution using edge-preserving filtering
* Powerful finite mixture model based on the generalized dirichlet distribution: unsupervised learning and applications
* Probabilistic Approach for Shadows Modeling and Detection, A
* Proportional data modeling with hidden Markov models based on generalized Dirichlet and Beta-Liouville mixtures applied to anomaly detection in public areas
* Robust Video Foreground Segmentation by Using Generalized Gaussian Mixture Modeling, A
* Semantic Scene Classification with Generalized Gaussian Mixture Models
* Sentiment Analysis from User Reviews Using a Hybrid Generative-Discriminative HMM-SVM Approach
* Simultaneous high-dimensional clustering and feature selection using asymmetric Gaussian mixture models
* Simultaneous positive sequential vectors modeling and unsupervised feature selection via continuous hidden Markov models
* Speaker Classification via Supervised Hierarchical Clustering Using ICA Mixture Model
* Supervised dimensionality reduction of proportional data using mixture estimation
* topic modeling and image classification framework: The Generalized Dirichlet variational autoencoder, A
* UAV-Based Computer Vision System for Orchard Apple Tree Detection and Health Assessment
* Unsupervised Feature and Model Selection for Generalized Dirichlet Mixture Models
* Unsupervised Feature Selection and Learning for Image Segmentation
* Unsupervised Grouped Axial Data Modeling via Hierarchical Bayesian Nonparametric Models With Watson Distributions
* Unsupervised Human Action Categorization Using a Riemannian Averaged Fixed-Point Learning of Multivariate GGMM
* Unsupervised learning of a finite discrete mixture: Applications to texture modeling and image databases summarization
* Unsupervised learning of a finite gamma mixture using MML: Application to SAR image analysis
* Unsupervised Learning of a Finite Mixture Model Based on the Dirichlet Distribution and Its Application
* Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting
* Using unsupervised learning of a finite Dirichlet mixture model to improve pattern recognition applications
* Variational learning of a Dirichlet process of generalized Dirichlet distributions for simultaneous clustering and feature selection
* Video Completion Using Bandlet Transform
* View-Based 3D Objects Recognition with Expectation Propagation Learning
Includes: Bouguila, N.[Nizar] Bouguila, N.
86 for Bouguila, N.