Bron, C.
* 1973: Algorithm 457: Finding All Cliques in an Undirected Graph (H)
Bron, E.[Esther]
* 2014: Feature Selection Based on SVM Significance Maps for Classification of Dementia
Bron, M.
* 2020: About Photogrammetric UAV-mapping: Which Accuracy for Which Application?
Brondino, N.C.M.[Nair Cristina Margarido]
* 2014: GIS-Based Analytical Tools for Transport Planning: Spatial Regression Models for Transportation Demand Forecast
Brondizio, E.[Eduardo]
* 2010: framework for creating and validating a non-linear spectrum-biomass model to estimate the secondary succession biomass in moist tropical forests, A
Broni Bediako, C.[Clifford]
* 2023: OpenEarthMap: A Benchmark Dataset for Global High-Resolution Land Cover Mapping
Includes: Broni Bediako, C.[Clifford] Broni-Bediako, C.[Clifford]
Bronic, F.[Filip]
* 2023: Data-Driven Modeling of Urban Traffic Travel Times for Short- and Long-Term Forecasting
Bronik, K.[Kevin]
* 2023: Learning from multiple annotators for medical image segmentation
* 2023: Learning to restore multiple image degradations simultaneously
Bronisz, K.[Karol]
* 2016: Creating a Regional MODIS Satellite-Driven Net Primary Production Dataset for European Forests
Bronkorsta, P.J.H.
* 2000: On-line detection of red blood cell shape using deformable templates
Bronner, G.[Gunther]
* 2014: Derivation of Dominant Height and Yield Class of Forest Stands by Means of Airborne Remote Sensing Methods
Includes: Bronner, G.[Gunther] Bronner, G.[Günther]
Bronner, M.[Marco]
* 2021: AEM in Norway: A Review of the Coverage, Applications and the State of Technology
* 2022: Spectral Analysis to Improve Inputs to Random Forest and Other Boosted Ensemble Tree-Based Algorithms for Detecting NYF Pegmatites in Tysfjord, Norway
Includes: Bronner, M.[Marco] Brönner, M.[Marco] (Maybe also Broenner, M.)
Bronnikov, A.V.[Andrei V.]
* 2000: Cone-beam reconstruction by backprojection and filtering
* 2000: Reconstruction of attenuation map using discrete consistency conditions
* 2002: Theory of quantitative phase-contrast computed tomography
Includes: Bronnikov, A.V.[Andrei V.] Bronnikov, A.V.
Brons, R.
* 1974: Linguistic Methods for the Description of a Straight Line on a Grid
Bronshtein, I.G.
* 2018: Superresolution Contour Reconstruction Approach to a Linear Thermal Expansion Measurement
Bronskill, J.[John]
* 2021: ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
Bronskill, J.F.
* 1989: Knowledge-Based Approach to the Detection, Tracking and Classification of Target Formations in Infrared Image Sequences, A
Bronson, K.F.[Kevin F.]
* 2015: Estimating Cotton Nitrogen Nutrition Status Using Leaf Greenness and Ground Cover Information
Bronstad, P.M.
* 2013: Factors Affecting Enhanced Video Quality Preferences
* 2014: Factors Affecting Enhanced Video Quality Preferences
Bronstein, A.[Alex]
* 2022: Baby steps towards few-shot learning with multiple semantics
* 2022: Self-Supervised Classification Network
Bronstein, A.M.
* 2002: Reconstruction in diffraction ultrasound tomography using nonuniform FFT
* 2003: Expression-Invariant 3D Face Recognition
* 2003: Separation of reflections via sparse ICA
* 2004: Face Recognition from Facial Surface Metric
* 2004: Fast Relative Newton Algorithm for Blind Deconvolution of Images
* 2004: Fusion of 2D and 3D data in three-dimensional face recognition
* 2004: Optimal sparse representations for blind source separation and blind deconvolution: a learning approach
* 2005: Blind Deconvolution of Images Using Optimal Sparse Representations
* 2005: Expression-Invariant Face Recognition via Spherical Embedding
* 2005: Isometric Embedding of Facial Surfaces into S3
* 2005: Sparse ICA for blind separation of transmitted and reflected images
* 2005: Three-Dimensional Face Recognition
* 2005: Unmixing Tissues: Sparse Component Analysis in Multi-Contrast MRI
* 2006: Facetoface: An Isometric Model for Facial Animation
* 2006: Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling
* 2006: Robust Expression-Invariant Face Recognition from Partially Missing Data
* 2007: Expression-Invariant Representations of Faces
* 2007: Paretian Similarity for Partial Comparison of Non-rigid Objects
* 2007: Rock, Paper, and Scissors: Extrinsic vs. intrinsic similarity of non-rigid shapes
* 2007: Symmetries of non-rigid shapes
* 2008: Analysis of Two-Dimensional Non-Rigid Shapes
* 2008: Not only size matters: Regularized partial matching of nonrigid shapes
* 2008: Numerical Geometry of Non-Rigid Shapes
* 2008: Regularized Partial Matching of Rigid Shapes
* 2008: Topologically Constrained Isometric Embedding
* 2009: 3D-color video camera
* 2009: On reconstruction of non-rigid shapes with intrinsic regularization
* 2009: Partial Similarity of Objects, or How to Compare a Centaur to a Horse
* 2009: Shape Google: a computer vision approach to isometry invariant shape retrieval
* 2009: Topology-Invariant Similarity of Nonrigid Shapes
* 2010: Data fusion through cross-modality metric learning using similarity-sensitive hashing
* 2010: Diffusion symmetries of non-rigid shapes.
* 2010: Full and Partial Symmetries of Non-rigid Shapes
* 2010: Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching, A
* 2010: Intrinsic Regularity Detection in 3D Geometry
* 2010: Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding
* 2010: SHREC'10 Track: Correspondence Finding
* 2010: SHREC'10 Track: Feature Detection And Description
* 2010: SHREC'10 Track: Robust Shape Retrieval
* 2010: Spatially-Sensitive Affine-Invariant Image Descriptors
* 2010: Volumetric heat kernel signatures
* 2011: Affine-invariant diffusion geometry for the analysis of deformable 3D shapes
* 2011: Are MSER Features Really Interesting?
* 2011: Correspondence-Less Approach to Matching of Deformable Shapes, A
* 2011: Deformable Shape Retrieval by Learning Diffusion Kernels
* 2011: Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching
* 2011: Equi-Affine Invariant Geometries of Articulated Objects
* 2011: Fast Key-Word Searching via Embedding and Active-DTW
* 2011: Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes
* 2011: Photometric Heat Kernel Signatures
* 2011: Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes
* 2011: Shape Recognition with Spectral Distances
* 2011: SHREC'11: Robust Feature Detection And Description Benchmark
* 2012: Affine-Invariant Photometric Heat Kernel Signatures
* 2012: Articulated Motion Segmentation Of Point Clouds by Group-Valued Regularization
* 2012: Fast Keyword Searching Using 'BoostMap' Based Embedding
* 2012: game-theoretic approach to deformable shape matching, A
* 2012: Group-Valued Regularization for Analysis of Articulated Motion
* 2012: Intrinsic shape context descriptors for deformable shapes
* 2012: LDAHash: Improved Matching with Smaller Descriptors
* 2012: Parallelized Algorithms For Rigid Surface Alignment On GPU
* 2012: Putting the Pieces Together: Regularized Multi-part Shape Matching
* 2012: Stable Spectral Mesh Filtering
* 2013: New Algorithm for Identifying Possible Epidemic Sources with Application to the German Escherichia coli Outbreak, A
* 2014: Equi-affine Invariant Geometry for Shape Analysis
* 2014: Learning Spectral Descriptors for Deformable Shape Correspondence
* 2014: Multimodal Similarity-Preserving Hashing
* 2014: Real-time compressed imaging of scattering volumes
* 2015: Intel realsense = Real low cost gaze
* 2015: Inverting RANSAC: Global model detection via inlier rate estimation
* 2015: Learning Efficient Sparse and Low Rank Models
* 2015: Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians
* 2015: On convex relaxation of graph isomorphism
* 2016: Consistent Discretization and Minimization of the L1 Norm on Manifolds
* 2016: RealSense real heart rate: Illumination invariant heart rate estimation from videos
* 2016: Shape Retrieval of Non-rigid 3D Human Models
* 2016: Sparsity and Nullity: Paradigms for Analysis Dictionary Learning
* 2016: SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs
* 2017: ASIST: Automatic semantically invariant scene transformation
* 2017: Deep class-aware image denoising
* 2017: Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
* 2017: Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space
* 2017: Subspace Least Squares Multidimensional Scaling
* 2018: Class-Aware Fully Convolutional Gaussian and Poisson Denoising
* 2018: Deformable Shape Completion with Graph Convolutional Autoencoders
* 2018: ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks
* 2019: Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level
* 2019: Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment
* 2019: DeepISP: Toward Learning an End-to-End Image Processing Pipeline
* 2019: DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling
* 2019: LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning
* 2019: Learning to Detect and Retrieve Objects From Unlabeled Videos
* 2019: RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection
* 2019: Unsupervised Learning of Dense Shape Correspondence
* 2020: Do We Need Depth in State-Of-The-Art Face Authentication?
* 2020: Intel® RealSense™ SR300 Coded Light Depth Camera
* 2020: Overparameterized Models for Vector Fields
* 2020: Self-Supervised Object Detection and Retrieval Using Unlabeled Videos
* 2021: Detector-Free Weakly Supervised Grounding by Separation
* 2021: Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times
* 2021: MetAdapt: Meta-learned task-adaptive architecture for few-shot classification
* 2022: Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels
* 2022: Deep Isometric Maps
* 2022: Horizontal Flows and Manifold Stochastics in Geometric Deep Learning
* 2022: Physical Passive Patch Adversarial Attacks on Visual Odometry Systems
Includes: Bronstein, A.M. Bronstein, A.M.[Alexander M.] Bronstein, A.M.[Alex M.]
105 for Bronstein, A.M.
Bronstein, M.M.
* 2002: Reconstruction in diffraction ultrasound tomography using nonuniform FFT
* 2003: Expression-Invariant 3D Face Recognition
* 2003: Separation of reflections via sparse ICA
* 2004: Face Recognition from Facial Surface Metric
* 2004: Fast Relative Newton Algorithm for Blind Deconvolution of Images
* 2004: Fusion of 2D and 3D data in three-dimensional face recognition
* 2004: Optimal sparse representations for blind source separation and blind deconvolution: a learning approach
* 2005: Blind Deconvolution of Images Using Optimal Sparse Representations
* 2005: Expression-Invariant Face Recognition via Spherical Embedding
* 2005: Isometric Embedding of Facial Surfaces into S3
* 2005: Sparse ICA for blind separation of transmitted and reflected images
* 2005: Three-Dimensional Face Recognition
* 2005: Unmixing Tissues: Sparse Component Analysis in Multi-Contrast MRI
* 2006: Facetoface: An Isometric Model for Facial Animation
* 2006: Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling
* 2006: Robust Expression-Invariant Face Recognition from Partially Missing Data
* 2007: Expression-Invariant Representations of Faces
* 2007: Paretian Similarity for Partial Comparison of Non-rigid Objects
* 2007: Rock, Paper, and Scissors: Extrinsic vs. intrinsic similarity of non-rigid shapes
* 2007: Symmetries of non-rigid shapes
* 2008: Analysis of Two-Dimensional Non-Rigid Shapes
* 2008: Not only size matters: Regularized partial matching of nonrigid shapes
* 2008: Numerical Geometry of Non-Rigid Shapes
* 2008: Regularized Partial Matching of Rigid Shapes
* 2008: Topologically Constrained Isometric Embedding
* 2009: 3D-color video camera
* 2009: On reconstruction of non-rigid shapes with intrinsic regularization
* 2009: Partial Similarity of Objects, or How to Compare a Centaur to a Horse
* 2009: Shape Google: a computer vision approach to isometry invariant shape retrieval
* 2009: Topology-Invariant Similarity of Nonrigid Shapes
* 2010: Data fusion through cross-modality metric learning using similarity-sensitive hashing
* 2010: Diffusion symmetries of non-rigid shapes.
* 2010: Full and Partial Symmetries of Non-rigid Shapes
* 2010: Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching, A
* 2010: Intrinsic Regularity Detection in 3D Geometry
* 2010: Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding
* 2010: Scale-invariant heat kernel signatures for non-rigid shape recognition
* 2010: SHREC'10 Track: Correspondence Finding
* 2010: SHREC'10 Track: Feature Detection And Description
* 2010: SHREC'10 Track: Robust Shape Retrieval
* 2010: Spatially-Sensitive Affine-Invariant Image Descriptors
* 2010: Volumetric heat kernel signatures
* 2011: Affine-invariant diffusion geometry for the analysis of deformable 3D shapes
* 2011: Are MSER Features Really Interesting?
* 2011: Correspondence-Less Approach to Matching of Deformable Shapes, A
* 2011: Deformable Shape Retrieval by Learning Diffusion Kernels
* 2011: Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching
* 2011: Equi-Affine Invariant Geometries of Articulated Objects
* 2011: Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes
* 2011: Lazy Sliding Window Implementation of the Bilateral Filter on Parallel Architectures
* 2011: Photometric Heat Kernel Signatures
* 2011: Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes
* 2011: Shape Recognition with Spectral Distances
* 2011: SHREC'11: Robust Feature Detection And Description Benchmark
* 2012: Affine-Invariant Photometric Heat Kernel Signatures
* 2012: Articulated Motion Segmentation Of Point Clouds by Group-Valued Regularization
* 2012: Group-Valued Regularization for Analysis of Articulated Motion
* 2012: Intrinsic shape context descriptors for deformable shapes
* 2012: LDAHash: Improved Matching with Smaller Descriptors
* 2012: Putting the Pieces Together: Regularized Multi-part Shape Matching
* 2012: Stable Spectral Mesh Filtering
* 2012: Structure from Motion Using Augmented Lagrangian Robust Factorization
* 2014: Equi-affine Invariant Geometry for Shape Analysis
* 2014: Gamut mapping with image Laplacian commutators
* 2014: Multimodal Similarity-Preserving Hashing
* 2015: Functional correspondence by matrix completion
* 2015: Geodesic Convolutional Neural Networks on Riemannian Manifolds
* 2015: Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians
* 2015: Robust Principal Component Analysis on Graphs
* 2016: Coupled Functional Maps
* 2016: Efficient Globally Optimal 2D-to-3D Deformable Shape Matching
* 2016: MADMM: A Generic Algorithm for Non-smooth Optimization on Manifolds
* 2016: Matching Deformable Objects in Clutter
* 2016: Palmprint recognition via discriminative index learning
* 2016: Shape Analysis with Anisotropic Windowed Fourier Transform
* 2016: Shape Retrieval of Non-rigid 3D Human Models
* 2017: Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
* 2017: Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs
* 2017: Subspace Least Squares Multidimensional Scaling
* 2018: Deformable Shape Completion with Graph Convolutional Autoencoders
* 2019: GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching
* 2019: Isospectralization, or How to Hear Shape, Style, and Correspondence
* 2019: Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation
* 2019: SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator
* 2020: Average Mixing Kernel Signature, The
* 2020: Geometrically Principled Connections in Graph Neural Networks
* 2020: Intel® RealSense™ SR300 Coded Light Depth Camera
* 2020: Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild
* 2021: 3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties
* 2021: Fast end-to-end learning on protein surfaces
* 2021: Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation
* 2022: 3D Shape Analysis Through a Quantum Lens: The Average Mixing Kernel Signature
* 2022: Guest Editorial: Non-Euclidean Machine Learning
* 2023: Differentiable Graph Module (DGM) for Graph Convolutional Networks
* 2023: Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting
Includes: Bronstein, M.M. Bronstein, M.M.[Michael M.]
95 for Bronstein, M.M.
Bronstein, R.
* 1992: Surface Reconstruction from Derivatives
Bronstert, A.
* 2013: Soil Moisture Estimation Under Low Vegetation Cover Using a Multi-Angular Polarimetric Decomposition
Bronsvoort, W.F.[Willem F.]
* 2005: efficient method to determine the intended solution for a system of geometric constraints, An
* 2008: Solving Systems of 3D Geometric Constraints with Non-rigid Clusters
Bronte, S.[Sebastian]
* 2012: character recognition method in natural scene images, A
* 2012: Text location in complex images
Bronzi, D.
* 2016: Automotive Three-Dimensional Vision Through a Single-Photon Counting SPAD Camera
Bronzin, S.[Simone]
* 2021: Estimating (and fixing) the Effect of Face Obfuscation in Video Recognition
* 2021: RMS-Net: Regression and Masking for Soccer Event Spotting
* 2021: Video action detection by learning graph-based spatio-temporal interactions
Bronzino, F.
* 2012: adaptive hybrid CDN/P2P solution for Content Delivery Networks, An
Bronzino, G.P.C.
* 2019: Laser-visual-inertial Odometry Based Solution for 3d Heritage Modeling: The Sanctuary of The Blessed Virgin of Trompone