Alexander M. Bronstein

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Alexander M. Bronstein

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Alexander M. Bronstein's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Shape google: Geometric words and expressions for invariant shape retrieval (2011) (823)
Numerical Geometry of Non-Rigid Shapes (2009) (743)
LDAHash: Improved Matching with Smaller Descriptors (2012) (618)
Generalized multidimensional scaling: A framework for isometry-invariant partial surface matching (2006) (579)
Three-Dimensional Face Recognition (2005) (466)
Data fusion through cross-modality metric learning using similarity-sensitive hashing (2010) (432)
Expression-Invariant 3D Face Recognition (2003) (325)
A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching (2010) (304)
Efficient Computation of Isometry-Invariant Distances Between Surfaces (2006) (271)
Delta-encoder: an effective sample synthesis method for few-shot object recognition (2018) (247)
RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection (2018) (241)
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence (2017) (213)
Deformable Shape Completion with Graph Convolutional Autoencoders (2017) (186)
Learning Efficient Sparse and Low Rank Models (2012) (185)
Coupled quasi‐harmonic bases (2012) (183)
Multimodal Similarity-Preserving Hashing (2012) (183)
SHREC '11: Robust Feature Detection and Description Benchmark (2011) (174)
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? (2015) (174)
Intrinsic shape context descriptors for deformable shapes (2012) (172)
Expression-Invariant Representations of Faces (2007) (170)
Parallel algorithms for approximation of distance maps on parametric surfaces (2008) (155)
DeepISP: Toward Learning an End-to-End Image Processing Pipeline (2018) (148)
Shape Recognition with Spectral Distances (2011) (137)
Learning Spectral Descriptors for Deformable Shape Correspondence (2014) (133)
Shape Google: a computer vision approach to isometry invariant shape retrieval (2009) (133)
Shape Retrieval of Non-rigid 3D Human Models (2014) (128)
Sparse ICA for blind separation of transmitted and reflected images (2005) (125)
Analysis of Two-Dimensional Non-Rigid Shapes (2008) (122)
Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment (2016) (122)
Blind deconvolution of images using optimal sparse representations (2005) (119)
Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space (2017) (116)
NetLSD: Hearing the Shape of a Graph (2018) (115)
Partial Similarity of Objects, or How to Compare a Centaur to a Horse (2009) (113)
Multigrid multidimensional scaling (2006) (112)
Full and Partial Symmetries of Non-rigid Shapes (2010) (111)
Scale Space and Variational Methods in Computer Vision (2011) (111)
On convex relaxation of graph isomorphism (2015) (107)
Unsupervised Learning of Dense Shape Correspondence (2019) (107)
Reconstruction in diffraction ultrasound tomography using nonuniform FFT (2002) (105)
Supervised learning of bag‐of‐features shape descriptors using sparse coding (2014) (104)
Computing and processing correspondences with functional maps (2017) (104)
Fully Spectral Partial Shape Matching (2017) (101)
Volumetric heat kernel signatures (2010) (99)
Efficient Deformable Shape Correspondence via Kernel Matching (2017) (97)
Are MSER Features Really Interesting? (2011) (95)
Symmetries of non-rigid shapes (2007) (92)
Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation (2007) (91)
A game-theoretic approach to deformable shape matching (2012) (87)
Shape Google : a computer vision approach to invariant shape retrieval (2009) (85)
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks (2018) (82)
Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask (2018) (81)
Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems (2016) (77)
LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning (2019) (76)
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning (2020) (76)
Loss aware post-training quantization (2019) (75)
Robust Expression-Invariant Face Recognition from Partially Missing Data (2006) (71)
Diffusion-geometric maximally stable component detection in deformable shapes (2010) (70)
Topology-Invariant Similarity of Nonrigid Shapes (2009) (70)
SHREC 2010: robust large-scale shape retrieval benchmark (2010) (67)
Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding (2010) (65)
Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling (2012) (63)
Sparse Modeling of Intrinsic Correspondences (2012) (62)
Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians (2015) (58)
Baby steps towards few-shot learning with multiple semantics (2019) (58)
Class-Aware Fully Convolutional Gaussian and Poisson Denoising (2018) (58)
Deep Convolutional Denoising of Low-Light Images (2017) (57)
Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching (2011) (56)
SHREC 2010: robust correspondence benchmark (2010) (54)
Learning Spectral Descriptors for Deformable Shape Correspondence (2014) (50)
Face Recognition from Facial Surface Metric (2004) (49)
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI (2019) (48)
NICE: Noise Injection and Clamping Estimation for Neural Network Quantization (2018) (47)
Intrinsic Regularity Detection in 3D Geometry (2010) (45)
Supervised Sparse Analysis and Synthesis Operators (2013) (44)
Affine-invariant diffusion geometry for the analysis of deformable 3D shapes (2010) (42)
Learning Efficient Structured Sparse Models (2012) (41)
Deep class-aware image denoising (2017) (40)
Towards CT-quality Ultrasound Imaging using Deep Learning (2017) (40)
Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement (2014) (39)
Expression-invariant face recognition via spherical embedding (2005) (38)
3D Face Recognition without Facial Surface Reconstruction (2003) (38)
Photometric Heat Kernel Signatures (2011) (37)
Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels (2020) (36)
Robust Quantization: One Model to Rule Them All (2020) (35)
Inverting RANSAC: Global model detection via inlier rate estimation (2015) (34)
Intel realsense = Real low cost gaze (2015) (34)
Intel® RealSense™ SR300 Coded Light Depth Camera (2020) (34)
Spectral descriptors for deformable shapes (2011) (34)
UNIQ: Uniform Noise Injection for the Quantization of Neural Networks (2018) (33)
Weighted distance maps computation on parametric three-dimensional manifolds (2007) (32)
Boosted metric learning for 3D multi-modal deformable registration (2011) (32)
Affine-invariant geodesic geometry of deformable 3D shapes (2010) (32)
Multimodal diffusion geometry by joint diagonalization of Laplacians (2012) (31)
Rock, Paper, and Scissors: extrinsic vs. intrinsic similarity of non-rigid shapes (2007) (30)
Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform (2017) (30)
Separation of reflections via sparse ICA (2003) (30)
Hamiltonian Operator for Spectral Shape Analysis (2016) (30)
High frame-rate cardiac ultrasound imaging with deep learning (2018) (29)
Self-supervised learning of inverse problem solvers in medical imaging (2019) (28)
Sparse similarity-preserving hashing (2013) (28)
Deformable Shape Retrieval by Learning Diffusion Kernels (2011) (28)
DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling (2017) (28)
Probably Approximately Symmetric: Fast Rigid Symmetry Detection With Global Guarantees (2014) (27)
Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes (2011) (27)
BLIND SEPARATION OF REFLECTIONS USING SPARSE ICA (2003) (26)
SHREC'10 Track: Feature Detection and Description (2010) (26)
Regularized Partial Matching of Rigid Shapes (2008) (26)
Fast Multidimensional Scaling using Vector Extrapolation (2008) (26)
High-Resolution Structured Light Range Scanner with Automatic Calibration (2003) (25)
Not only size matters: Regularized partial matching of nonrigid shapes (2008) (25)
Spatially-Sensitive Affine-Invariant Image Descriptors (2010) (25)
Shape Correspondence with Isometric and Non-Isometric Deformations (2019) (24)
Learning beamforming in ultrasound imaging (2018) (24)
High quality ultrasonic multi-line transmission through deep learning (2018) (24)
The Video Genome (2010) (23)
Stable volumetric features in deformable shapes (2012) (23)
RealSense = real heart rate: Illumination invariant heart rate estimation from videos (2016) (23)
Expression-invariant three-dimensional face recognition (2005) (23)
Self-supervised Learning of Dense Shape Correspondence (2018) (22)
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment (2019) (22)
Relative optimization for blind deconvolution (2005) (22)
Optimal nonlinear line-of-flight estimation in positron emission tomography (2003) (21)
Bilevel Sparse Models for Polyphonic Music Transcription (2013) (21)
A Correspondence-Less Approach to Matching of Deformable Shapes (2011) (21)
Equi-affine Invariant Geometry for Shape Analysis (2013) (20)
Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level (2019) (20)
Isometric Embedding of Facial Surfaces into (2005) (20)
Affine-Invariant Photometric Heat Kernel Signatures (2012) (19)
Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling (2006) (19)
Deformable Shape Retrieval with Missing Parts (2017) (18)
Group-Valued Regularization for Analysis of Articulated Motion (2012) (18)
Fusion of 2D and 3D data in three-dimensional face recognition (2004) (17)
Numerical Geometry of Non-Rigid Shapes, Monographs in Computer Science (2009) (17)
The Shape of Data: Intrinsic Distance for Data Distributions (2019) (17)
Computational multi-focus imaging combining sparse model with color dependent phase mask. (2015) (17)
Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI (2019) (16)
A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels (2016) (16)
Consistent Discretization and Minimization of the L1 Norm on Manifolds (2016) (15)
Efficient supervised sparse analysis and synthesis operators (2013) (15)
Feature Map Transform Coding for Energy-Efficient CNN Inference (2019) (15)
Computing and processing correspondences with functional maps (2016) (15)
Functional Maps Representation On Product Manifolds (2018) (15)
Diffusion framework for geometric and photometric data fusion in non-rigid shape analysis (2011) (15)
ASIST: Automatic semantically invariant scene transformation (2015) (15)
DeepISP: Learning End-to-End Image Processing Pipeline (2018) (15)
Partial Similarity of Shapes Using a Statistical Significance Measure (2009) (14)
Graph matching: relax or not? (2014) (14)
Topologically Constrained Isometric Embedding (2006) (14)
Learning Fast Magnetic Resonance Imaging (2019) (13)
SHREC'10 Track: Robust Shape Retrieval (2010) (13)
Deep Class Aware Denoising (2017) (12)
Quantifying 3D Shape Similarity Using Maps: Recent Trends, Applications and Perspectives (2014) (12)
Putting the Pieces Together: Regularized Multi-part Shape Matching (2012) (12)
Feature-Based Methods in 3D Shape Analysis (2012) (12)
Self-Supervised Classification Network (2021) (12)
3D-color video camera (2009) (11)
SHREC'10 Track: Correspondence Finding (2010) (11)
Learnable low rank sparse models for speech denoising (2013) (11)
Fast Key-Word Searching via Embedding and Active-DTW (2011) (11)
StarNet: towards Weakly Supervised Few-Shot Object Detection (2020) (11)
Isometric Embedding of Facial Surfaces into S 3 (2004) (11)
Blind source separation using block-coordinate relative Newton method (2004) (10)
Audio restoration from multiple copies (2013) (10)
SHREC ’ 17 : Deformable Shape Retrieval with Missing Parts (2017) (10)
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification (2019) (10)
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI (2020) (10)
On reconstruction of non-rigid shapes with intrinsic regularization (2009) (10)
Localization with Limited Annotation for Chest X-rays (2019) (10)
Scalability of Non-Rigid 3D Shape Retrieval (2015) (10)
Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes (2011) (10)
Facetoface: An Isometric Model for Facial Animation (2006) (9)
Learning Robust Low-Rank Representations (2012) (9)
Fast Keyword Searching Using 'BoostMap' Based Embedding (2012) (9)
Bayesian Inference of Bijective Non-Rigid Shape Correspondence (2016) (9)
Subspace Least Squares Multidimensional Scaling (2017) (9)
CAT: Compression-Aware Training for bandwidth reduction (2019) (9)
Supervised non-negative matrix factorization for audio source separation (2015) (9)
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks (2017) (8)
Early-Stage Neural Network Hardware Performance Analysis (2021) (8)
On the Stability of Deep Networks (2014) (8)
Sparsity and Nullity: Paradigms for Analysis Dictionary Learning (2016) (8)
Self-Supervised Learning for Large-Scale Unsupervised Image Clustering (2020) (7)
SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs (2016) (7)
A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels (2015) (7)
UNIQ (2021) (7)
Detector-Free Weakly Supervised Grounding by Separation (2021) (7)
Self-Supervised Object Detection and Retrieval Using Unlabeled Videos (2020) (7)
Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis (2015) (7)
Cloud Dictionary: Sparse Coding and Modeling for Point Clouds (2016) (7)
A MULTIGRID APPROACH FOR MULTI-DIMENSIONAL SCALING∗ (2004) (7)
On a relation between shape recognition algorithms based on distributions of distances (2009) (7)
Generating Adversarial Surfaces via Band‐Limited Perturbations (2020) (7)
Learning to Detect and Retrieve Objects From Unlabeled Videos (2019) (7)
Separation of semireflective layers using sparse ICA (2003) (6)
Paretian Similarity for Partial Comparison of Non-rigid Objects (2007) (6)
The Learned Inexact Project Gradient Descent Algorithm (2018) (6)
StarNet: towards weakly supervised few-shot detection and explainable few-shot classification (2020) (6)
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning (2019) (6)
Analysis of diffusion geometry methods for shape recognition (2009) (6)
GRASP: Graph Alignment through Spectral Signatures (2021) (6)
White Matter Fiber Representation Using Continuous Dictionary Learning (2017) (6)
Manifold Analysis by Topologically Constrained Isometric Embedding (2008) (6)
Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks (2019) (6)
Wassertein Barycenter and its Applications to Texture Mixing (2012) (6)
HCM: Hardware-Aware Complexity Metric for Neural Network Architectures (2020) (5)
Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization (2012) (5)
Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform (2002) (5)
Parallelized Algorithms for Rigid Surface Alignment on GPU (2012) (5)
Diffusion Geometry in Shape Analysis (2012) (5)
On Separation of Semitransparent Dynamic Images from Static Background (2006) (5)
In the Rigid Kingdom (2008) (5)
Expression-invariant representations for human faces (2005) (5)
Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging (2020) (5)
Biometrics was no match for hair-raising tricks (2002) (5)
Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware (2018) (5)
SGR: Self-Supervised Spectral Graph Representation Learning (2018) (4)
Quasi-maximum likelihood blind deconvolution of images acquired through scattering media (2004) (4)
Colored Noise Injection for Training Adversarially Robust Neural Networks (2020) (4)
BLOCK-COORDINATE RELATIVE NEWTON METHOD FOR BLIND SOURCE SEPARATION (2003) (4)
Topology Robust Intrinsic Symmetries of non-rigid shapes based on Diffusion Distances (2010) (4)
QML Blind Deconvolution: Asymptotic Analysis (2004) (4)
Toward Self-Supervised Object Detection in Unlabeled Videos (2019) (4)
Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals (2021) (4)
Real-time compressed imaging of scattering volumes (2014) (3)
Blind Deconvolution Using the Relative Newton Method (2004) (3)
Optimal non-linear line-of-flight estimation in positron emission tomography (2002) (3)
Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency (2005) (3)
An Isometric Model for Facial Animation (3)
Low-cost Gaze and Pulse Analysis using RealSense (2015) (3)
Embedded System for 3 D Shape Reconstruction (2008) (3)
Manifold Intrinsic Similarity (2015) (3)
Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval (2021) (3)
WaldHash: sequential similarity-preserving hashing (2010) (3)
Blind Source Separation Using the Block-Coordinate Relative Newton Method (2004) (3)
"Unmixing" tissues: sparse component analysis in multi-contrast MRI (2005) (3)
Smoothed Inference for Adversarially-Trained Models (2019) (2)
Stable Spectral Mesh Filtering (2012) (2)
ISP Distillation (2021) (2)
Optimal sparse representations for blind source separation and blind deconvolution: a learning approach (2004) (2)
Digital Gimbal: End-to-end Deep Image Stabilization with Learnable Exposure Times (2020) (2)
FPGA system for real-time computational extended depth of field imaging using phase aperture coding (2016) (2)
Affine Invariant Interesting Descriptors (2009) (2)
Group-Valued Regularization for Motion Segmentation of Articulated Shapes (2013) (2)
Feature-based image alignment via coupled Hough transforms (2009) (2)
GMD : Global Model Detection via Inlier Rate Estimation (2014) (2)
Fast Nonlinear Vector Quantile Regression (2022) (2)
Random Forests Can Hash (2014) (2)
Joint intrinsic and extrinsic similarity for recognition of non-rigid shapes (2007) (2)
Physical Passive Patch Adversarial Attacks on Visual Odometry Systems (2022) (2)
Face Recognition without Facial Surface Reconstruction (2003) (2)
Multi-Focus Imaging using Optical Phase Mask (2014) (2)
Spectral Graph Complexity (2019) (1)
Deep geometric matrix completion: Are we doing it right? (2019) (1)
Spectral Geometric Matrix Completion (2019) (1)
Blind separation of tissues in multi-modal MRI using Sparse Component Analysis (2005) (1)
Partial Single- and Multishape Dense Correspondence Using Functional Maps (2018) (1)
SHREC’15 Track: Scalability of Non-Rigid 3D Shape Retrieval (2015) (1)
Deep Isometric Maps (2022) (1)
Blind Source Separation : Biomedical applications (2005) (1)
Fast relative Newton algorithm for blind deconvolution of images (2004) (1)
A-ne-invariant spatial vocabularies (2009) (1)
Optimal Sparse Representations for Blind Deconvolution of Images (2004) (1)
Affine-invariant spatial vocabularies (2009) (1)
Sparse Models for Intrinsic Shape Correspondence (2016) (1)
Shape Retrieval of Non-rigid 3D Human Models (2016) (1)
Image reconstruction from dense binary pixels (2015) (1)
Partial matching of rigid shapes (2008) (1)
Towards learned optimal q-space sampling in diffusion MRI (2020) (1)
Partial similarity of objects and text sequences (2007) (1)
Shape reconstruction with intrinsic priors (2009) (1)
Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation (2022) (1)
Blind Source Separation (2006) (1)
THE NON-UNIFORM FFT AND SOME OF ITS APPLICATIONS (2002) (1)
Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging (2021) (1)
Face 2 face 2 : An isometric model for facial animation (2006) (1)
Intrinsic Multi-scale Evaluation of Generative Models (2019) (1)
Geometry and Learning in 3D Shape Processing Problems (2018) (0)
Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples (2021) (0)
Computing and Processing Correspondences with Functional Maps SIGGRAPH 2017 C (2017) (0)
Tepzz_849_ B_t Ep 1 849 122 B1 European Patent Specification (54) Facial Recognition and the Open Mouth Problem (0)
Cloud Dictionary: Coding and Modeling for Point Clouds (2017) (0)
Boosted multi-hypothesis sequential probability ratio test (2009) (0)
Shortest Paths and Fast Marching Methods (2008) (0)
Quasi maximum likelihood blind deconvolution : super-and sub-Gaussianity vs . asymptotic stability (2003) (0)
Deep fused two-step cross-modal hashing with multiple semantic supervision (2022) (0)
Deformable Shape Completion with Graph Convolutional Autoencoders supplementary material (2018) (0)
Using Deep Reinforcement Learning for mmWave Real-Time Scheduling (2022) (0)
New Results - Fusion/Registration (2011) (0)
Localization with Limited Annotation (2019) (0)
Overparameterized Models for Vector Fields (2020) (0)
N ov 2 01 8 SGR : Self-Supervised Spectral Graph Representation Learning (2018) (0)
Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering (2023) (0)
Resource allocation for H.264 video encoder: Sequence-level controller (2009) (0)
Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI (2023) (0)
Application of the NUFFT for reconstruction problems in diffraction tomography (2002) (0)
Adversarial robustness via noise injection in smoothed models (2022) (0)
D Face Recognition without Facial Surface Reconstruction (2003) (0)
Isometry Invariant Similarity (2008) (0)
Acquisition Image Formation time gain compensation beampattern design & transmission IQ demodulation time delays & phase rotation elements summation / apodization log compression & scan conversion envelope detection Tx Beamforming Ultrasound image (2019) (0)
Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval (2021) (0)
Transformer Vs. MLP-Mixer Exponential Expressive Gap For NLP Problems (2022) (0)
Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound (2022) (0)
Numerical geometry of non-rigid objects: embedding problems (2007) (0)
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits (2021) (0)
Processing and Analysis of Geometric Shapes Spring 2010 Shape Discretization Adapted from (2010) (0)
Blind Separation of Sources in functional MRI sequences (2002) (0)
Deep Reinforcement Learning for Scheduling and Power Allocation in a 5G Urban Mesh (2022) (0)
Story of Cinderella (2007) (0)
Differentiable Neural Architecture Search with an Arithmetic Complexity Constraint (2019) (0)
Equi-affine Invariant Geometries of Articulated Objects (2011) (0)
Equi-affine Invariant Geometry for Shape Analysis (2013) (0)
- 1-Computational All-inFocus Imaging using an Optical Phase Mask (2015) (0)
Stable Semi-local Features for Non-rigid Shapes (2013) (0)
Do We Need Depth in State-Of-The-Art Face Authentication? (2020) (0)
Optimal nonlinear estimation of photon coordinates in PET (2002) (0)
Deep Learned Phase Mask for Single Image Depth Estimation and 3D scanning (2018) (0)
Metric Approaches to Invariant Shape Similarity (2009) (0)
SimuGAN: Unsupervised forward modeling and optimal design of a LIDAR Camera (2020) (0)
Chapter 5 STORY OF CINDERELLA : Biometrics and isometry-invariant distances (2007) (0)
Chapter 5 Feature-based Methods in 3 D Shape Analysis (2011) (0)
Functional Maps on Product Manifolds (2018) (0)
A Taste of Geometry (2008) (0)
Non rigid Correspondence and Calculus of Shapes (2008) (0)

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What Schools Are Affiliated With Alexander M. Bronstein?

Alexander M. Bronstein is affiliated with the following schools:

Tel Aviv University

Alexander M. Bronstein's Academic­Influence.com Rankings

Why Is Alexander M. Bronstein Influential?

Alexander M. Bronstein's Published Works

Published Works

What Schools Are Affiliated With Alexander M. Bronstein?

Alexander M. Bronstein's AcademicInfluence.com Rankings