Index for bene

Bene, K.[Katalin] * 2023: Accuracy Assessment and Validation of Multi-Source CHIRPS Precipitation Estimates for Water Resource Management in the Barada Basin, Syria

Benedek, C. * 2005: Motion-based flexible camera registration
* 2005: Optimizing of Searching Co-Motion Point-Pairs for Statistical Camera Calibration
* 2006: Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes
* 2007: Multi-Layer MRF Model for Object-Motion Detection in Unregistered Airborne Image-Pairs, A
* 2007: Study on color space selection for detecting cast shadows in video surveillance
* 2008: Bayesian Foreground and Shadow Detection in Uncertain Frame Rate Surveillance Videos
* 2008: Mixed Markov model for change detection in aerial photos with large time differences, A
* 2009: Building extraction and change detection in multitemporal remotely sensed images with multiple birth and death dynamics
* 2009: Change Detection in Optical Aerial Images by a Multilayer Conditional Mixed Markov Model
* 2009: Detection of Object Motion Regions in Aerial Image Pairs With a Multilayer Markovian Model
* 2010: Building Detection in a Single Remotely Sensed Image with a Point Process of Rectangles
* 2010: Multi-camera People Localization and Height Estimation Using Multiple Birth-and-Death Dynamics
* 2011: 3-D marked point process model for multi-view people detection, A
* 2011: Analysis of Solder Paste scooping with hierarchical point processes
* 2011: Detection of soldering defects in Printed Circuit Boards with Hierarchical Marked Point Processes
* 2011: Multi-view people surveillance using 3D information
* 2012: Building Development Monitoring in Multitemporal Remotely Sensed Image Pairs with Stochastic Birth-Death Dynamics
* 2012: Marked Point Process Model For Vehicle Detection In Aerial Lidar Point Clouds, A
* 2012: Urban traffic monitoring from aerial LIDAR data with a Two-Level Marked Point Process model
* 2013: Bayesian Approach on People Localization in Multicamera Systems, A
* 2013: Two-Layer Marked Point Process Framework for Multilevel Object Population Analysis, A
* 2014: 3D people surveillance on range data sequences of a rotating Lidar
* 2014: Fast 3-D Urban Object Detection on Streaming Point Clouds
* 2014: Model-Based Approach for Fast Vehicle Detection in Continuously Streamed Urban LIDAR Point Clouds, A
* 2014: Moving Target Analysis in ISAR Image Sequences With a Multiframe Marked Point Process Model
* 2015: Extraction of Vehicle Groups in Airborne Lidar Point Clouds With Two-Level Point Processes
* 2015: Multilayer Markov Random Field models for change detection in optical remote sensing images
* 2016: Crossmodal point cloud registration in the Hough space for mobile laser scanning data
* 2017: Change Detection in Urban Streets by a Real Time Lidar Scanner and MLS Reference Data
* 2017: Embedded Marked Point Process Framework for Three-Level Object Population Analysis, An
* 2018: Lidar-Based Gait Analysis and Activity Recognition in a 4D Surveillance System
* 2018: Real-Time Point Cloud Alignment for Vehicle Localization in a High Resolution 3D Map
* 2019: CNN-Based Watershed Marker Extraction for Brick Segmentation in Masonry Walls
* 2019: Online Targetless End-to-End Camera-LIDAR Self-calibration
* 2019: SFM And Semantic Information Based Online Targetless Camera-LIDAR Self-Calibration
* 2020: Automatic Tumuli Detection In LIDAR Based Digital Elevation Maps
* 2020: Deep Learning-Based Masonry Wall Image Analysis
* 2020: Exploitation of Dense MLS City Maps for 3d Object Detection
* 2020: HierarchyNet: Hierarchical CNN-Based Urban Building Classification
* 2020: On-the-Fly Camera and Lidar Calibration
* 2021: GAN-based Blind Inpainting Method for Masonry Wall Images, A
* 2022: Multi-view Based 3D Point Cloud Completion Algorithm for Vehicles
* 2023: MVPCC-Net: Multi-View Based Point Cloud Completion Network for MLS data
Includes: Benedek, C. Benedek, C.[Csaba]
43 for Benedek, C.

Benedek, J.[Jozsef] * 2020: Potential of Night-Time Lights to Measure Regional Inequality
* 2020: VIIRS Nighttime Light Data for Income Estimation at Local Level
* 2022: Ratio of Land Consumption Rate to Population Growth Rate in the Major Metropolitan Areas of Romania
Includes: Benedek, J.[Jozsef] Benedek, J.[József]

Benedetti, A. * 1997: Confidence Computation Improvement in an Optical Field Reading System
* 1998: Real-Time 2-D Feature Detection on a Reconfigurable Computer
* 2003: Globally convergent autocalibration
* 2004: Globally Convergent Autocalibration Using Interval Analysis
* 2004: Rigorous accuracy bounds for calibrated stereo reconstruction
* 2005: Computing rigorous bounds to the accuracy of calibrated stereo reconstruction
* 2022: Coupled Evaluation of Operational MODIS and Model Aerosol Products for Maritime Environments Using Sun Photometry: Evaluation of the Fine and Coarse Mode, A
Includes: Benedetti, A. Benedetti, A.[Arrigo] Benedetti, A.[Angela]
7 for Benedetti, A.

Benedetti, A.C. * 2019: Photogrammetry As a Method for Retrieving Geometrical Information On The 20th Century Heritage. The Agip Colony in Cesenatico

Benedetti, B. * 2008: Computer Aided Reconstruction of Complex Sites and Architectures: Application to the Grotta Dei Cervi and the Broken Frescoes of the Assisi Basilica

Benedetti, G.[Giovanni] * 2021: Geomagnetic Activity at Lampedusa Island: Characterization and Comparison with the Other Italian Observatories, Also in Response to Space Weather Events
* 2023: New Installation for Geomagnetic Field Monitoring at Talos Dome, a Remote Antarctic Site Away from Permanent Observatories, A

Benedetti, L.[Luca] * 2012: Color to gray conversions in the context of stereo matching algorithms: An analysis and comparison of current methods and an ad-hoc theoretically-motivated technique for image matching

Benedetti, M. * 2010: Multiple-Shape Reconstruction by Means of Multiregion Level Sets

Benedetti, R. * 2014: Water Vapor Probabilistic Retrieval Using GNSS Signals

Benedetti, S. * 2009: 3D Virtual reconstruction and visualization of complex architectures: The 3D-ARCH project

Benedetto, A.[Andrea] * 2020: Enhanced Data Processing Framework for Mapping Tree Root Systems Using Ground Penetrating Radar, An
* 2023: Satellite Remote Sensing and Non-Destructive Testing Methods for Transport Infrastructure Monitoring: Advances, Challenges and Perspectives

Benedetto, d.D.[di_Maria Domenica] * 2023: Mesoscopic Human-Inspired Adaptive Cruise Control for Eco-Driving, A

Benedetto, F. * 2005: New Color Space Domain for Digital Watermarking in Multimedia Applications, A
* 2017: Entropy-Based Analysis of GPR Data for the Assessment of Railway Ballast Conditions, An

Benedetto, J.J.[John J.] * 2014: UL-Isomap based nonlinear dimensionality reduction for hyperspectral imagery classification

Benedetto, S. * 2000: DVD Applications in Business and Industry
* 2007: Iterative Decoding of Serially Concatenated Arithmetic and Channel Codes With JPEG 2000 Applications

Benedi, J.M.[Jose Miguel] * 1997: Consistency of Stochastic Context-Free Grammars from Probabilistic Estimation Based on Growth Transformations
* 2005: Performance of a SCFG-Based Language Model with Training Data Sets of Increasing Size
* 2005: Time Reduction of Stochastic Parsing with Stochastic Context-Free Grammars
* 2007: Combination of N-Grams and Stochastic Context-Free Grammars in an Offline Handwritten Recognition System
* 2007: Fast Stochastic Context-Free Parsing: A Stochastic Version of the Valiant Algorithm
* 2010: Comparing Several Techniques for Offline Recognition of Printed Mathematical Symbols
* 2011: Active Learning for Dialogue Act Labelling
* 2011: Recognition of Printed Mathematical Expressions Using Two-Dimensional Stochastic Context-Free Grammars
* 2012: Modeling Spoken Dialog Systems under the Interactive Pattern Recognition Framework
* 2012: Unbiased Evaluation of Handwritten Mathematical Expression Recognition
* 2013: Classification of On-Line Mathematical Symbols with Hybrid Features and Recurrent Neural Networks
* 2013: Image-Based Measure for Evaluation of Mathematical Expression Recognition, An
* 2013: Multimodal Interactive Parsing
* 2014: Offline Features for Classifying Handwritten Math Symbols with Recurrent Neural Networks
* 2014: Recognition of on-line handwritten mathematical expressions using 2D stochastic context-free grammars and hidden Markov models
* 2015: Applying Basic Features from Sentiment Analysis for Automatic Irony Detection
* 2016: integrated grammar-based approach for mathematical expression recognition, An
* 2021: Generation of Hypergraphs from the N-Best Parsing of 2D-Probabilistic Context-Free Grammars for Mathematical Expression Recognition
* 2022: Discriminative Learning of Two-Dimensional Probabilistic Context-Free Grammars for Mathematical Expression Recognition and Retrieval
* 2023: IBEM dataset: A large printed scientific image dataset for indexing and searching mathematical expressions, The
* 2023: PY4MER: A CTC-based Mathematical Expression Recognition System
Includes: Benedi, J.M.[Jose Miguel] Benedí, J.M.[José Miguel] Benedí, J.M.[Jose Miguel] Benedí, J.M.[José-Miguel] Benedi, J.M.[Jose-Miguel]
21 for Benedi, J.M.

Benedict, T.D.[Trenton D.] * 2021: Exploring VIIRS Continuity with MODIS in an Expedited Capability for Monitoring Drought-Related Vegetation Conditions

Benedikt, L.[Lanthao] * 2008: 3D Facial Gestures in Biometrics: from Feasibility Study to Application
* 2008: Facial Dynamics in Biometric Identification
* 2010: Assessing the Uniqueness and Permanence of Facial Actions for Use in Biometric Applications
Includes: Benedikt, L.[Lanthao] Benedikt, L.

Benedikt, M.L.[Michael L.] * 1979: Computational Models of Space: Isovists and Isovist Fields

Benediktsson, J.A. * 1997: Feature-Extraction for Multisource Data Classification with Artificial Neural Networks
* 1997: Parallel Consensual Neural Networks
* 1999: Classification of Multisource and Hyperspectral Data Based on Decision Fusion
* 2001: effect of classifier agreement on the accuracy of the combined classifier in decision level fusion, The
* 2001: new approach for the morphological segmentation of high-resolution satellite imagery, A
* 2002: effect of classifier agreement on the accuracy of the combined classifier in decision level fusion, The
* 2002: Multiple classifiers applied to multisource remote sensing data
* 2003: Almost translation invariant wavelet transformations for speckle reduction of SAR images
* 2003: Classification and feature extraction for remote sensing images from urban areas based on morphological transformations
* 2003: Foreword to the special issue on urban remote sensing by satellite
* 2003: Multisource remote sensing data classification based on consensus and pruning
* 2005: Classification of Hyperspectral Data From Urban Areas Based on Extended Morphological Profiles
* 2006: Decision Fusion for the Classification of Urban Remote Sensing Images
* 2006: Random Forests for land cover classification
* 2007: Fusion of Support Vector Machines for Classification of Multisensor Data
* 2008: Adaptive Pixel Neighborhood Definition for the Classification of Hyperspectral Images with Support Vector Machines and Composite Kernel
* 2008: Model-Based Satellite Image Fusion
* 2008: Spectral and Spatial Classification of Hyperspectral Data Using SVMs and Morphological Profiles
* 2009: Directional Mathematical Morphology for the Detection of the Road Network in Very High Resolution Remote Sensing Images
* 2009: Spectral-Spatial Classification of Hyperspectral Imagery Based on Partitional Clustering Techniques
* 2010: Advanced Directional Mathematical Morphology for the Detection of the Road Network in Very High Resolution Remote Sensing Images
* 2010: Morphological Attribute Profiles for the Analysis of Very High Resolution Images
* 2010: Multiple Spectral-Spatial Classification Approach for Hyperspectral Data
* 2010: Segmentation and Classification of Hyperspectral Images Using Minimum Spanning Forest Grown From Automatically Selected Markers
* 2010: Segmentation and classification of hyperspectral images using watershed transformation
* 2010: Sensitivity of Support Vector Machines to Random Feature Selection in Classification of Hyperspectral Data
* 2011: Hyperspectral Image Classification With Independent Component Discriminant Analysis
* 2011: Stochastic Minimum Spanning Forest approach for spectral-spatial classification of hyperspectral images, A
* 2012: spatial-spectral kernel-based approach for the classification of remote-sensing images, A
* 2012: Spectral-Spatial Classification of Hyperspectral Data Based on a Stochastic Minimum Spanning Forest Approach
* 2012: Very High-Resolution Remote Sensing: Challenges and Opportunities
* 2013: Adaptive Markov Random Fields for Joint Unmixing and Segmentation of Hyperspectral Images
* 2013: Advances in Spectral-Spatial Classification of Hyperspectral Images
* 2013: Advances in Very-High-Resolution Remote Sensing
* 2013: Generalized Composite Kernel Framework for Hyperspectral Image Classification
* 2013: Land-Cover Mapping by Markov Modeling of Spatial-Contextual Information in Very-High-Resolution Remote Sensing Images
* 2013: Novel Technique for Optimal Feature Selection in Attribute Profiles Based on Genetic Algorithms, A
* 2013: Parsimonious Mahalanobis kernel for the classification of high dimensional data
* 2013: Semisupervised Self-Learning for Hyperspectral Image Classification
* 2013: Unsupervised methods for the classification of hyperspectral images with low spatial resolution
* 2014: Advances in Hyperspectral Image Classification: Earth Monitoring with Statistical Learning Methods
* 2014: Automatic retinal vessel extraction based on directional mathematical morphology and fuzzy classification
* 2014: Automatic Spectral-Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction
* 2014: Feature Extraction of Hyperspectral Images With Image Fusion and Recursive Filtering
* 2014: Multilevel Image Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization
* 2014: Pansharpening With Matting Model
* 2014: Remotely Sensed Image Classification Using Sparse Representations of Morphological Attribute Profiles
* 2014: Spectral-Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields
* 2014: Spectral-Spatial Hyperspectral Image Classification via Multiscale Adaptive Sparse Representation
* 2014: Spectral-Spatial Hyperspectral Image Classification With Edge-Preserving Filtering
* 2015: Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions
* 2015: Challenges and Opportunities of Multimodality and Data Fusion in Remote Sensing
* 2015: Classification of Hyperspectral Images by Exploiting Spectral-Spatial Information of Superpixel via Multiple Kernels
* 2015: Extended Random Walker-Based Classification of Hyperspectral Images
* 2015: Intrinsic Image Decomposition for Feature Extraction of Hyperspectral Images
* 2015: Model-Based Fusion of Multi- and Hyperspectral Images Using PCA and Wavelets
* 2015: Novel Feature Selection Approach Based on FODPSO and SVM, A
* 2015: Novel MKL Model of Integrating LiDAR Data and MSI for Urban Area Classification, A
* 2015: Spectral and Spatial Classification of Hyperspectral Images Based on ICA and Reduced Morphological Attribute Profiles
* 2015: Spectral-Spatial Classification of Hyperspectral Images With a Superpixel-Based Discriminative Sparse Model
* 2015: Survey on Spectral-Spatial Classification Techniques Based on Attribute Profiles, A
* 2016: Big Data for Remote Sensing: Challenges and Opportunities
* 2016: Class-Specific Sparse Multiple Kernel Learning for Spectral-Spatial Hyperspectral Image Classification
* 2016: Extinction Profiles for the Classification of Remote Sensing Data
* 2016: Generalized Image Scene Decomposition-Based System for Supervised Classification of Very High Resolution Remote Sensing Imagery, A
* 2016: Nonlinear Multiple Kernel Learning With Multiple-Structure-Element Extended Morphological Profiles for Hyperspectral Image Classification
* 2016: Novel Automatic Change Detection Method for Urban High-Resolution Remotely Sensed Imagery Based on Multi-Index Scene Representation, A
* 2016: Novel Object-Based Filter for Improving Land-Cover Classification of Aerial Imagery with Very High Spatial Resolution
* 2016: Probabilistic Fusion of Pixel-Level and Superpixel-Level Hyperspectral Image Classification
* 2016: Quantitative Quality Evaluation of Pansharpened Imagery: Consistency Versus Synthesis
* 2016: Remote Sensing Image Classification Using Attribute Filters Defined Over the Tree of Shapes
* 2016: Set-to-Set Distance-Based Spectral-Spatial Classification of Hyperspectral Images
* 2016: Spectral-Spatial Adaptive Sparse Representation for Hyperspectral Image Denoising
* 2016: Spectral-Spatial Hyperspectral Image Classification Using Subspace-Based Support Vector Machines and Adaptive Markov Random Fields
* 2016: Support Tensor Machines for Classification of Hyperspectral Remote Sensing Imagery
* 2017: Adaptive Spectral-Spatial Compression of Hyperspectral Image With Sparse Representation
* 2017: Automatic Attribute Profiles
* 2017: Automatic Object-Oriented, Spectral-Spatial Feature Extraction Driven by Tobler's First Law of Geography for Very High Resolution Aerial Imagery Classification
* 2017: Effective Denoising and Classification of Hyperspectral Images Using Curvelet Transform and Singular Spectrum Analysis
* 2017: From Subpixel to Superpixel: A Novel Fusion Framework for Hyperspectral Image Classification
* 2017: Hyperspectral Anomaly Detection With Attribute and Edge-Preserving Filters
* 2017: Hyperspectral Image Classification Using Principal Components-Based Smooth Ordering and Multiple 1-D Interpolation
* 2017: Multiple Kernel Learning for Hyperspectral Image Classification: A Review
* 2017: Novel Methodology to Label Urban Remote Sensing Images Based on Location-Based Social Media Photos, A
* 2017: PCA-Based Edge-Preserving Features for Hyperspectral Image Classification
* 2017: Random-Walker-Based Collaborative Learning for Hyperspectral Image Classification
* 2017: Semi-Automatic System for Land Cover Change Detection Using Bi-Temporal Remote Sensing Images
* 2017: Spatial Technology and Social Media in Remote Sensing: A Survey
* 2017: Spatial Technology and Social Media [Scanning the Issue]
* 2017: Stepwise Analytical Projected Gradient Descent Search for Hyperspectral Unmixing and Its Code Vectorization, A
* 2018: Contextual Online Dictionary Learning for Hyperspectral Image Classification
* 2018: Decolorization-Based Hyperspectral Image Visualization
* 2018: Detection and Correction of Mislabeled Training Samples for Hyperspectral Image Classification
* 2018: Extended Random Walker for Shadow Detection in Very High Resolution Remote Sensing Images
* 2018: Extinction Profiles Fusion for Hyperspectral Images Classification
* 2018: Generative Adversarial Networks for Hyperspectral Image Classification
* 2018: Joint Bilateral Filtering and Spectral Similarity-Based Sparse Representation: A Generic Framework for Effective Feature Extraction and Data Classification in Hyperspectral Imaging
* 2018: Land Cover Change Detection Based on Adaptive Contextual Information Using Bi-Temporal Remote Sensing Images
* 2018: Mapping Urban Areas in China Using Multisource Data With a Novel Ensemble SVM Method
* 2018: Multi-Scale Object Histogram Distance for LCCD Using Bi-Temporal Very-High-Resolution Remote Sensing Images
* 2018: Post-Processing Approach for Refining Raw Land Cover Change Detection of Very High-Resolution Remote Sensing Images
* 2018: Refining Land Cover Classification Maps Based on Dual-Adaptive Majority Voting Strategy for Very High Resolution Remote Sensing Images
* 2018: Sparse Representation-Based Augmented Multinomial Logistic Extreme Learning Machine With Weighted Composite Features for Spectral-Spatial Classification of Hyperspectral Images
* 2019: Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification
* 2019: Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification
* 2019: Deep Learning for Hyperspectral Image Classification: An Overview
* 2019: Fusion of Multiple Edge-Preserving Operations for Hyperspectral Image Classification
* 2019: Hyperspectral Image Classification with Squeeze Multibias Network
* 2019: Nomination-favoured opinion pool for optical-SAR-synergistic rice mapping in face of weakened flooding signals
* 2019: Novel Adaptive Histogram Trend Similarity Approach for Land Cover Change Detection by Using Bitemporal Very-High-Resolution Remote Sensing Images
* 2019: Novel Multi-Scale Filter Profile-Based Framework for VHR Remote Sensing Image Classification
* 2019: Remote Sensing Big Data Classification with High Performance Distributed Deep Learning
* 2019: Remotely sensed big data: evolution in model development for information extraction
* 2019: Spatial Density Peak Clustering for Hyperspectral Image Classification With Noisy Labels
* 2019: Spatial-Spectral Feature Fusion Coupled with Multi-Scale Segmentation Voting Decision for Detecting Land Cover Change with VHR Remote Sensing Images
* 2020: Deep TEC: Deep Transfer Learning with Ensemble Classifier for Road Extraction from UAV Imagery
* 2020: Object-Oriented Key Point Vector Distance for Binary Land Cover Change Detection Using VHR Remote Sensing Images
* 2020: Spatially Enhanced Spectral Unmixing Through Data Fusion of Spectral and Visible Images from Different Sensors
* 2020: Supervised Functional Data Discriminant Analysis for Hyperspectral Image Classification
* 2021: Deep Hashing Learning for Visual and Semantic Retrieval of Remote Sensing Images
* 2021: Functional Feature Extraction for Hyperspectral Image Classification With Adaptive Rational Function Approximation
* 2021: Iterative Training Sample Expansion to Increase and Balance the Accuracy of Land Classification From VHR Imagery
* 2021: Multispectral and Multiangle 3-D Convolutional Neural Network for the Classification of ZY-3 Satellite Images Over Urban Areas, A
* 2021: Scheduling-Guided Automatic Processing of Massive Hyperspectral Image Classification on Cloud Computing Architectures
* 2022: General Spline-Based Method for Centerline Extraction from Different Segmented Road Maps in Remote Sensing Imagery, A
* 2022: Land Cover Change Detection With Heterogeneous Remote Sensing Images: Review, Progress, and Perspective
* 2022: Pan-Sharpening Method with Beta-Divergence Non-Negative Matrix Factorization in Non-Subsampled Shear Transform Domain, A
* 2023: Augmented GBM Nonlinear Model to Address Spectral Variability for Hyperspectral Unmixing
* 2023: Deep-Learning-Based 3-D Surface Reconstruction: A Survey
* 2023: IESRGAN: Enhanced U-Net Structured Generative Adversarial Network for Remote Sensing Image Super-Resolution Reconstruction
* 2023: Novel Spatial-Spectral Channel Attention Neural Network for Land Cover Change Detection with Remote Sensed Images
Includes: Benediktsson, J.A. Benediktsson, J.A.[Jon Atli] Benediktsson, J.A.[Jón Atli] Benediktsson, J.A.[J. Atli]
131 for Benediktsson, J.A.

Benedix, G.K. * 2014: Automated crater detection and counting using the hough transform

Benedykciuk, E.[Emil] * 2021: Method for Adaptive Material Classification and Pseudo-Coloring of the Baggage X-Ray Images, The

Benekohal, R.F. * 2015: Program for Simultaneous Network Signal Timing Optimization and Traffic Assignment, A

Benekos, G.[George] * 2020: Spatio-Temporal Assessment of Land Deformation as a Factor Contributing to Relative Sea Level Rise in Coastal Urban and Natural Protected Areas Using Multi-Source Earth Observation Data

Benella, S.[Simone] * 2022: On Turbulent Features of E X B Plasma Motion in the Auroral Topside Ionosphere: Some Results from CSES-01 Satellite
* 2023: CAESAR Project for the ASI Space Weather Infrastructure, The
Includes: Benella, S.[Simone] Benella, S.

Benelli, G. * 1995: Radar image processing for ship-traffic control
* 1996: Edge-preserving classification of multifrequency multipolarization SAR images
* 1997: FEC Coding for H.263 Compatible Video Transmission
* 2020: CloudScout: A Deep Neural Network for On-Board Cloud Detection on Hyperspectral Images
Includes: Benelli, G. Benelli, G.[Gionata]

Benenson, R. * 2008: Achievable safety of driverless ground vehicles
* 2011: Stixels estimation without depth map computation
* 2012: Fast Stixel Computation for Fast Pedestrian Detection
* 2012: Pedestrian detection at 100 frames per second
* 2012: Stixels Motion Estimation without Optical Flow Computation
* 2013: Handling Occlusions with Franken-Classifiers
* 2013: Seeking the Strongest Rigid Detector
* 2014: Face Detection without Bells and Whistles
* 2014: How good are detection proposals, really?
* 2014: Ten Years of Pedestrian Detection, What Have We Learned?
* 2015: Detecting Surgical Tools by Modelling Local Appearance and Global Shape
* 2015: Filtered channel features for pedestrian detection
* 2015: Person Recognition in Personal Photo Collections
* 2015: Taking a deeper look at pedestrians
* 2015: What Is Holding Back Convnets for Detection?
* 2016: Cityscapes Dataset for Semantic Urban Scene Understanding, The
* 2016: Convnet for Non-maximum Suppression, A
* 2016: Faceless Person Recognition: Privacy Implications in Social Media
* 2016: How Far are We from Solving Pedestrian Detection?
* 2016: Improved Image Boundaries for Better Video Segmentation
* 2016: Weakly Supervised Object Boundaries
* 2016: What Makes for Effective Detection Proposals?
* 2017: CityPersons: A Diverse Dataset for Pedestrian Detection
* 2017: Exploiting Saliency for Object Segmentation from Image Level Labels
* 2017: Learning Non-maximum Suppression
* 2017: Learning Video Object Segmentation from Static Images
* 2017: Simple Does It: Weakly Supervised Instance and Semantic Segmentation
* 2018: Towards Reaching Human Performance in Pedestrian Detection
* 2019: Large-Scale Interactive Object Segmentation With Human Annotators
* 2019: Lucid Data Dreaming for Video Object Segmentation
* 2020: Person Recognition in Personal Photo Collections
Includes: Benenson, R. Benenson, R.[Rodrigo]
31 for Benenson, R.

Bener, A.[Ayse] * 2010: Bayesian Networks for Predicting IVF Blastocyst Development

Benes, B.[Bedrich] * 2006: Natural Interface for Sign Language Mathematics, A
* 2006: Towards a Modular Network-Distributed Mixed-Reality Learning Space System
* 2010: Building reconstruction using manhattan-world grammars
* 2010: intuitive polygon morphing, An
* 2011: Augmenting Heteronanostructure Visualization with Haptic Feedback
* 2011: Experiences in Disseminating Educational Visualizations
* 2014: Proceduralization of Buildings at City Scale
* 2014: Sketching human character animations by composing sequences from large motion database
* 2015: Procedural Editing of 3D Building Point Clouds
* 2015: User-Assisted Inverse Procedural Facade Modeling and Compressed Image Rendering
* 2016: Proceduralization for Editing 3D Architectural Models
* 2021: Bodily Expression of Emotions in Animated Agents
* 2021: Perceived Naturalness of Interpolation Methods for Character Upper Body Animation
* 2021: SSN: Soft Shadow Network for Image Compositing
* 2022: Controllable Shadow Generation Using Pixel Height Maps
* 2023: PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing
* 2023: Tree Instance Segmentation with Temporal Contour Graph
Includes: Benes, B.[Bedrich] Beneš, B.[Bedrich]
17 for Benes, B.

Benes, K. * 2020: Multiplex Cellular Communities in Multi-Gigapixel Colorectal Cancer Histology Images for Tissue Phenotyping
* 2021: Lizard: A Large-Scale Dataset for Colonic Nuclear Instance Segmentation and Classification
Includes: Benes, K. Benes, K.[Ksenija]

Benes, M.[Miroslav] * 2011: Removing the artifacts from artwork cross-section images
* 2012: Towards clinical applicability of the diffusion-based DT-MRI visualization algorithm
Includes: Benes, M.[Miroslav] Beneš, M.[Michal]

Benes, R.[Radek] * 2013: Multi-focus thermal image fusion

Benesch, R. * 1985: Note on the Determination of a Digital Straight Line from Chain Codes

Benesova, N.[Nina] * 2021: SAMIRA-SAtellite Based Monitoring Initiative for Regional Air Quality
Includes: Benesova, N.[Nina] Benešová, N.[Nina]

Benesova, W. * 2006: Determining the Average Grain Size of Super-Alloy Micrographs
* 2006: Feature Extraction from Micrographs of Forged Nickel Based Alloy
* 2009: Towards complex visual surveillance algorithms on smart cameras
* 2016: Automatic brain segmentation method based on supervoxels
* 2016: Eye blink detection based on motion vectors analysis
* 2016: Novelty-based Spatiotemporal Saliency Detection for Prediction of Gaze in Egocentric Video
* 2016: Texture aware image error concealment with fuzzy segmentation
* 2018: Eye blink completeness detection
* 2020: Depth Perception Tendencies in the 3-d Environment of Virtual Reality
* 2020: Partial disentanglement of hierarchical variational auto-encoder for texture synthesis
* 2022: Interpretability of deep neural networks used for the diagnosis of Alzheimer's disease
* 2023: Deeplabv3+ Ensemble for Diagnosis of Cardiac Transplant Rejection
Includes: Benesova, W. Benesova, W.[Wanda] Benešová, W.
12 for Benesova, W.

Benesty, J. * 2013: Single-Channel MVDR Filter for Acoustic Echo Suppression, A
* 2016: fully automatic method for segmenting retinal artery walls in adaptive optics images, A
* 2017: On the Identification of Bilinear Forms With the Wiener Filter
* 2020: Beamforming With Small-Spacing Microphone Arrays Using Constrained/Generalized LASSO
* 2021: New Method to Design Steerable First-Order Differential Beamformers, A
* 2021: On a Particular Family of Differential Beamformers With Cardioid-Like and No-Null Patterns
* 2021: Robust Dereverberation With Kronecker Product Based Multichannel Linear Prediction
* 2021: Single-Input/Binaural-Output Antiphasic Speech Enhancement Method for Speech Intelligibility Improvement, A
* 2021: Time Difference of Arrival Estimation Based on a Kronecker Product Decomposition
* 2022: Data-Reuse Recursive Least-Squares Algorithms
* 2023: binaural heterophasic adaptive beamformer and its deep learning assisted implementation, A
* 2023: Design of Steerable Linear Differential Microphone Arrays With Omnidirectional and Bidirectional Sensors
* 2023: Dimensionality Reduction of Room Acoustic Impulse Responses and Applications to System Identification
* 2023: Linear System Identification Based on a Third-Order Tensor Decomposition
Includes: Benesty, J. Benesty, J.[Jonathan] Benesty, J.[Jacob]
14 for Benesty, J.

Benet, N. * 2003: segmentation method for bibliographic references by contextual tagging of fields, A

Benetatos, C.[Christoforos] * 2020: Multidisciplinary Analysis of Ground Movements: An Underground Gas Storage Case Study
* 2022: Solar Cycle Signal in Climate and Artificial Neural Networks Forecasting
Includes: Benetatos, C.[Christoforos] Benetatos, C.[Charilaos]

Benetazzo, A.[Alvise] * 2011: Variational Stereo Method for the Three-Dimensional Reconstruction of Ocean Waves, A
* 2011: Weak Statistical Constraints for Variational Stereo Imaging of Oceanic Waves
* 2013: Variational Stereo Imaging of Oceanic Waves With Statistical Constraints
* 2021: Physics-Driven CNN Model for Real-Time Sea Waves 3D Reconstruction, A

Benetiere, M. * 2001: Fully Scalable 3d Subband Video Codec, A
Includes: Benetiere, M. Bénetiére, M.

Benetos, E. * 2015: Detection and Classification of Acoustic Scenes and Events
* 2019: Automatic Music Transcription: An Overview
* 2021: Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation
* 2021: Effect of Spectrogram Reconstruction on Automatic Music Transcription: An Alternative Approach to Improve Transcription Accuracy, The
* 2024: ATGNN: Audio Tagging Graph Neural Network
* 2024: Data-Driven Analysis of Robust Automatic Piano Transcription, A
* 2024: Few-Shot Class-Incremental Audio Classification Using Dynamically Expanded Classifier With Self-Attention Modified Prototypes
Includes: Benetos, E. Benetos, E.[Emmanouil]
7 for Benetos, E.

Benett, S. * 1982: Matching Images to Models for Registration and Object Detection via Clustering

Benevent, C.[Christine] * 2022: Spatially-Consistent Feature Matching and Learning for Heritage Image Analysis
Includes: Benevent, C.[Christine] Bénévent, C.[Christine]

Benevenuto, F. * 2019: Supervised Learning for Fake News Detection

Benevides da Costa, D. * 2012: Unified Tensor Modeling for Blind Receivers in Multiuser Uplink Cooperative Systems

Benevides, P. * 2016: Bridging InSAR and GPS Tomography: A New Differential Geometrical Constraint
* 2017: Analysis of Galileo and GPS Integration for GNSS Tomography
* 2019: Neural Network Approach to Forecast Hourly Intense Rainfall Using GNSS Precipitable Water Vapor and Meteorological Sensors
* 2020: Exploring Sentinel-2 for Land Cover and Crop Mapping In Portugal
* 2020: Mapping Precipitable Water Vapor Time Series From Sentinel-1 Interferometric SAR
* 2021: Exploring the Use of Classification Uncertainty to Improve Classification Accuracy
* 2022: Spatially Stratified and Multi-Stage Approach for National Land Cover Mapping Based on Sentinel-2 Data and Expert Knowledge
Includes: Benevides, P. Benevides, P.[Pedro]
7 for Benevides, P.

Benezeth, Y.[Yannick] * 2008: Real Time Human Detection System Based on Far Infrared Vision, A
* 2008: Review and evaluation of commonly-implemented background subtraction algorithms
* 2009: Abnormal events detection based on spatio-temporal co-occurences
* 2010: Evaluation of Human Detection Algorithms in Image Sequences
* 2010: Human Detection with a Multi-sensors Stereovision System
* 2011: Abnormality detection using low-level co-occurring events
* 2013: Classification of Pollen Apertures Using Bag of Words
* 2013: Meta-tracking for video scene understanding
* 2014: CDnet 2014: An Expanded Change Detection Benchmark Dataset
* 2014: Human Interaction Recognition Based on the Co-occurrence of Visual Words
* 2014: Multispectral Endoscopy to Identify Precancerous Lesions in Gastric Mucosa
* 2015: Bag-of-word based brand recognition using Markov clustering algorithm for codebook generation
* 2016: Identification of precancerous lesions by multispectral gastroendoscopy
* 2016: Remote photoplethysmography based on implicit living skin tissue segmentation
* 2017: Quadratic Objective Functions for Dichromatic Model Parameters Estimation
* 2018: Design and evaluation of a parallel and optimized light-tissue interaction-based method for fast skin lesion assessment
* 2018: High-level synthesis for FPGAs: code optimization strategies for real-time image processing
* 2018: Periodic Variance Maximization Using Generalized Eigenvalue Decomposition Applied to Remote Photoplethysmography Estimation
* 2018: Real-Time Temporal Superpixels for Unsupervised Remote Photoplethysmography
* 2019: Emotional State Recognition with Micro-expressions and Pulse Rate Variability
* 2019: Unsupervised skin tissue segmentation for remote photoplethysmography
* 2020: Assessment of Algorithms to Estimate Respiratory Rate from the Remote Photoplethysmogram, An
* 2020: Intrinsic image decomposition as two independent deconvolution problems
* 2020: Long Short-Term Memory Deep-Filter in Remote Photoplethysmography
* 2022: Development and Cross-Cultural Evaluation of a Scoring Algorithm for the Biometric Attachment Test: Overcoming the Challenges of Multimodal Fusion with Small Data
* 2022: Gated Recurrent Unit-Based RNN for Remote Photoplethysmography Signal Segmentation
* 2022: Personalization of AI Models Based on Federated Learning for Driver Stress Monitoring
* 2022: Personalization of AI Models Based on Federated Learning for Driver Stress Monitoring
* 2022: RTrPPG: An Ultra Light 3DCNN for Real-Time Remote Photoplethysmography
* 2023: UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress
Includes: Benezeth, Y.[Yannick] Benezeth, Y.
30 for Benezeth, Y.

Benezit, F.[Florence] * 2005: Spectral Segmentation with Multiscale Graph Decomposition

Index for "b"