Alexander M. Bronstein

发表

Consistent Discretization and Minimization of the L1 Norm on Manifolds

Alexander M. Bronstein, Yoni Choukroun, Ron Kimmel, 2016, 2016 Fourth International Conference on 3D Vision (3DV).

On the Stability of Deep Networks pdf

Guillermo Sapiro, Alexander M. Bronstein, Raja Giryes, 2014, ICLR.

Analysis of Two-Dimensional Non-Rigid Shapes

Alfred M. Bruckstein, Alexander M. Bronstein, Ron Kimmel, 2008, International Journal of Computer Vision.

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2009, IPSJ Trans. Comput. Vis. Appl..

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection

Sharath Pankanti, Rogério Schmidt Feris, Alexander M. Bronstein, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

LDAHash: Improved Matching with Smaller Descriptors

Pascal Fua, Alexander M. Bronstein, Christoph Strecha, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?

Guillermo Sapiro, Alexander M. Bronstein, Raja Giryes, 2015, IEEE Transactions on Signal Processing.

Random Forests Can Hash pdf

Guillermo Sapiro, Alexander M. Bronstein, Qiang Qiu, 2015, ICLR.

Deep class-aware image denoising

Alexander M. Bronstein, Raja Giryes, Tal Remez, 2017, 2017 IEEE International Conference on Image Processing (ICIP).

Volumetric heat kernel signatures

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2010, 3DOR '10.

Putting the Pieces Together: Regularized Multi-part Shape Matching

Alexander M. Bronstein, Michael M. Bronstein, Or Litany, 2012, ECCV Workshops.

Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement

Guillermo Sapiro, Alexander M. Bronstein, Pablo Sprechmann, 2014, 2014 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays (HSCMA).

Learning Efficient Sparse and Low Rank Models

Guillermo Sapiro, Alexander M. Bronstein, Pablo Sprechmann, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Affine-Invariant Photometric Heat Kernel Signatures

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2012, 3DOR@Eurographics.

Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling

Alfred M. Bruckstein, Alexander M. Bronstein, Ron Kimmel, 2006, AMDO.

A Correspondence-Less Approach to Matching of Deformable Shapes

Alexander M. Bronstein, Michael M. Bronstein, Jonathan Pokrass, 2011, SSVM.

Blind Source Separation Using the Block-Coordinate Relative Newton Method

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, 2004, ICA.

Deep Convolutional Denoising of Low-Light Images pdf

Alexander M. Bronstein, Raja Giryes, Tal Remez, 2017, ArXiv.

Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes

Radu Horaud, Alexander M. Bronstein, Michael M. Bronstein, 2011, SSVM.

Stable Semi-local Features for Non-rigid Shapes

Alexander M. Bronstein, Michael M. Bronstein, Roee Litman, 2013, Innovations for Shape Analysis, Models and Algorithms.

Stable volumetric features in deformable shapes

Alexander M. Bronstein, Michael M. Bronstein, Roee Litman, 2012, Comput. Graph..

Sparse similarity-preserving hashing pdf

Guillermo Sapiro, Alexander M. Bronstein, Jonathan Masci, 2013, ICLR.

A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels pdf

Alexander M. Bronstein, Tal Remez, Or Litany, 2015, ArXiv.

DeepISP: Learning End-to-End Image Processing Pipeline pdf

Alexander M. Bronstein, Raja Giryes, Eli Schwartz, 2018, ArXiv.

Efficient supervised sparse analysis and synthesis operators

Guillermo Sapiro, Alexander M. Bronstein, Tal Ben Yakar, 2013, NIPS 2013.

Symmetries of non-rigid shapes

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Intrinsic Regularity Detection in 3D Geometry

Niloy J. Mitra, Alexander M. Bronstein, Michael M. Bronstein, 2010, ECCV.

Shortest Paths and Fast Marching Methods

Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, 2008 .

Shape Recognition with Spectral Distances

Alexander M. Bronstein, Michael M. Bronstein, A. Bronstein, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Separation of reflections via sparse ICA

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

Multigrid multidimensional scaling

Alexander M. Bronstein, Ron Kimmel, Irad Yavneh, 2006, Numer. Linear Algebra Appl..

Robust Expression-Invariant Face Recognition from Partially Missing Data

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2006, ECCV.

SHREC 2010: robust correspondence benchmark

Leonidas J. Guibas, Maks Ovsjanikov, Radu Horaud, 2010 .

BLOCK-COORDINATE RELATIVE NEWTON METHOD FOR BLIND SOURCE SEPARATION

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, 2003 .

NICE: Noise Injection and Clamping Estimation for Neural Network Quantization pdf

Avi Mendelson, Alexander M. Bronstein, Raja Giryes, 2018, Mathematics.

Parallel algorithms for approximation of distance maps on parametric surfaces

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2008, TOGS.

Biometrics was no match for hair-raising tricks

Alexander M. Bronstein, Michael M. Bronstein, 2002, Nature.

Quasi-maximum likelihood blind deconvolution of images acquired through scattering media

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2004, 2004 2nd IEEE International Symposium on Biomedical Imaging: Nano to Macro (IEEE Cat No. 04EX821).

High quality ultrasonic multi-line transmission through deep learning pdf

Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky, 2018, MLMIR@MICCAI.

On reconstruction of non-rigid shapes with intrinsic regularization

Alexander M. Bronstein, Ron Kimmel, Guy Rosman, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Story of Cinderella

Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, 2007 .

Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians

Davide Eynard, Alexander M. Bronstein, Michael M. Bronstein, 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Are MSER Features Really Interesting?

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

SHREC '11: Robust Feature Detection and Description Benchmark pdf

Radu Horaud, Paul Suetens, Alexander M. Bronstein, 2011, 3DOR@Eurographics.

DIPHYLLOBOTHRIASES: CURRENT SITUATION, RECENT ADVANCES AND CHALLENGES. ALGORITHM OF DIAGNOSIS AND TREATMENT

Alexander M. Bronstein, N. A. Malyshev, M. S. Maximova, 2020 .

Jürgen Schmidhuber, Alexander M. Bronstein, Jonathan Masci, 2012, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Blind source separation using block-coordinate relative Newton method

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, 2004, Signal Process..

Sparse ICA for blind separation of transmitted and reflected images

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2005, Int. J. Imaging Syst. Technol..

Inverting RANSAC: Global model detection via inlier rate estimation

Alexander M. Bronstein, Shai Avidan, Simon Korman, 2015, CVPR.

Expression-Invariant Representations of Faces

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2007, IEEE Transactions on Image Processing.

Fusion of 2D and 3D data in three-dimensional face recognition

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Reconstruction in diffraction ultrasound tomography using nonuniform FFT

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, 2002, IEEE Transactions on Medical Imaging.

Efficient Deformable Shape Correspondence via Kernel Matching

Daniel Cremers, Alexander M. Bronstein, Michael M. Bronstein, 2017, 2017 International Conference on 3D Vision (3DV).

Deformable Shape Retrieval by Learning Diffusion Kernels

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2011, SSVM.

Scale Space and Variational Methods in Computer Vision

Alfred M. Bruckstein, Alexander M. Bronstein, Michael M. Bronstein, 2011, Lecture Notes in Computer Science.

Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding

Alexander M. Bronstein, Ron Kimmel, Guy Rosman, 2010, International Journal of Computer Vision.

Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2007, IEEE Transactions on Visualization and Computer Graphics.

"Unmixing" tissues: sparse component analysis in multi-contrast MRI

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2005, IEEE International Conference on Image Processing 2005.

SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs

Alexander M. Bronstein, Roee Litman, A. Bronstein, 2016, 2016 Fourth International Conference on 3D Vision (3DV).

Computing and processing correspondences with functional maps

Leonidas J. Guibas, Maks Ovsjanikov, Frédéric Chazal, 2016, SIGGRAPH Courses.

Learning to Detect and Retrieve Objects From Unlabeled Videos

Alexander M. Bronstein, Rami Ben-Ari, Tal Hakim, 2019, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW).

Blind Deconvolution Using the Relative Newton Method

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, 2004, ICA.

Fully Spectral Partial Shape Matching

Alexander M. Bronstein, Michael M. Bronstein, Emanuele Rodolà, 2017, Comput. Graph. Forum.

Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment

Alexander M. Bronstein, Andrea Cerri, Silvia Biasotti, 2016, Comput. Graph. Forum.

SHREC 2010: robust large-scale shape retrieval benchmark

Iasonas Kokkinos, Leonidas J. Guibas, Maks Ovsjanikov, 2010 .

Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level

Alexander M. Bronstein, Chaim Baskin, Eli Schwartz, 2019, 2019 IEEE International Conference on Image Processing (ICIP).

Subspace Least Squares Multidimensional Scaling pdf

Alexander M. Bronstein, Michael M. Bronstein, Amit Boyarski, 2017, SSVM.

Quantifying 3D Shape Similarity Using Maps: Recent Trends, Applications and Perspectives

Alexander M. Bronstein, Andrea Cerri, Silvia Biasotti, 2014, Eurographics.

Non‐Rigid Puzzles

Daniel Cremers, Alexander M. Bronstein, Michael M. Bronstein, 2016, Comput. Graph. Forum.

Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, 2005, IEEE Transactions on Signal Processing.

Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space

Daniel Cremers, Alexander M. Bronstein, Emanuele Rodolà, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Relative optimization for blind deconvolution

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, 2005, IEEE Transactions on Signal Processing.

Self-supervised Learning of Dense Shape Correspondence pdf

Alexander M. Bronstein, Ron Kimmel, Emanuele Rodolà, 2018, ArXiv.

Rock, Paper, and Scissors: extrinsic vs. intrinsic similarity of non-rigid shapes

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2007, 2007 IEEE 11th International Conference on Computer Vision.

Expression-Invariant 3D Face Recognition

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2003, AVBPA.

Spatially-Sensitive Affine-Invariant Image Descriptors

Alexander M. Bronstein, Michael M. Bronstein, A. Bronstein, 2010, ECCV.

Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks pdf

Avi Mendelson, Alexander M. Bronstein, Brian Chmiel, 2019, ArXiv.

Optimal nonlinear estimation of photon coordinates in PET

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Shape Retrieval of Non-rigid 3D Human Models

Bo Li, Gary K. L. Tam, Ralph R. Martin, 2014, International Journal of Computer Vision.

Topology-Invariant Similarity of Nonrigid Shapes

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2009, International Journal of Computer Vision.

On Separation of Semitransparent Dynamic Images from Static Background

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, 2006, ICA.

Deep class-aware image denoising

Alexander M. Bronstein, Raja Giryes, Tal Remez, 2017 .

High frame-rate cardiac ultrasound imaging with deep learning pdf

Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky, 2018, MICCAI.

FPGA system for real-time computational extended depth of field imaging using phase aperture coding pdf

Alexander M. Bronstein, Tal Remez, Or Litany, 2016, ArXiv.

Three-Dimensional Face Recognition

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2005, International Journal of Computer Vision.

Submitted for Review to Ieee Transactions on Image Processing Blind Deconvolution of Images Using Optimal Sparse Representations

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2022 .

Intel® RealSense™ SR300 Coded Light Depth Camera

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Towards CT-quality Ultrasound Imaging using Deep Learning pdf

Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky, 2017, ArXiv.

Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling

Guillermo Sapiro, Alexander M. Bronstein, Pablo Sprechmann, 2012, ISMIR.

Coupled quasi‐harmonic bases

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2012, Comput. Graph. Forum.

ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks pdf

Guillermo Sapiro, Alexander M. Bronstein, José Lezama, 2017, ECCV.

Graph matching: relax or not? pdf

Alexander M. Bronstein, Ron Kimmel, Yonathan Aflalo, 2014, ArXiv.

Differentiable Neural Architecture Search with an Arithmetic Complexity Constraint

Alexander M. Bronstein, Yochai Zur, A. Bronstein, 2019 .

INTESTINAL TAENIASES: CURRENT SITUATION, RECENT ADVANCES AND CHALLENGES. ALGORITHM OF DIAGNOSIS AND TREATMENT

Alexander M. Bronstein, N. A. Malyshev, M. S. Maximova, 2020 .

Diffusion Geometry in Shape Analysis

Alexander M. Bronstein, Michael M. Bronstein, Umberto Castellani, 2012, Eurographics.

SHREC'10 Track: Robust Shape Retrieval

Iasonas Kokkinos, Leonidas J. Guibas, Maks Ovsjanikov, 2010, 3DOR@Eurographics.

Sparse Modeling of Intrinsic Correspondences

Guillermo Sapiro, Alexander M. Bronstein, Michael M. Bronstein, 2012, Comput. Graph. Forum.

Scalability of Non-Rigid 3D Shape Retrieval

Alexander M. Bronstein, H. Li, Tobias Schreck, 2015, 3DOR@Eurographics.

Full and Partial Symmetries of Non-rigid Shapes

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2010, International Journal of Computer Vision.

Spectral descriptors for deformable shapes pdf

Alexander M. Bronstein, A. Bronstein, 2011, ArXiv.

Computing and processing correspondences with functional maps

Leonidas J. Guibas, Maks Ovsjanikov, Frédéric Chazal, 2016, SIGGRAPH ASIA Courses.

Partial Single- and Multishape Dense Correspondence Using Functional Maps

Daniel Cremers, Alexander M. Bronstein, Michael M. Bronstein, 2018 .

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels

Avi Mendelson, Alexander M. Bronstein, Chaim Baskin, 2020, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Isometric Embedding of Facial Surfaces into

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2005, Scale-Space.

Deep Learned Phase Mask for Single Image Depth Estimation and 3D scanning

Emanuel Marom, Alexander M. Bronstein, Raja Giryes, 2018 .

Equi-affine Invariant Geometries of Articulated Objects

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2011, Theoretical Foundations of Computer Vision.

Image reconstruction from dense binary pixels pdf

Alexander M. Bronstein, Tal Remez, Or Litany, 2015, ArXiv.

A game-theoretic approach to deformable shape matching

Alexander M. Bronstein, Andrea Torsello, Andrea Albarelli, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

The Learned Inexact Project Gradient Descent Algorithm

Yonina C. Eldar, Guillermo Sapiro, Alexander M. Bronstein, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Shape Google: a computer vision approach to isometry invariant shape retrieval

Leonidas J. Guibas, Maks Ovsjanikov, Alexander M. Bronstein, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Equi-affine Invariant Geometry for Shape Analysis

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2013, Journal of Mathematical Imaging and Vision.

Facetoface: An Isometric Model for Facial Animation

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2006, AMDO.

Affine-invariant geodesic geometry of deformable 3D shapes

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2010, Comput. Graph..

Resource allocation for H.264 video encoder: Sequence-level controller

Alexander M. Bronstein, 2009 .

The Shape of Data: Intrinsic Distance for Data Distributions

Emmanuel Müller, Alexander M. Bronstein, Panagiotis Karras, 2020, ICLR.

The Video Genome pdf

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2010, ArXiv.

Face 2 face 2 : An isometric model for facial animation

Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, 2006 .

THE NON-UNIFORM FFT AND SOME OF ITS APPLICATIONS

Alexander M. Bronstein, Michael M. Bronstein, A. Bronstein, 2002 .

Deformable Shape Retrieval with Missing Parts

Duc Anh Duong, Alexandre Boulch, Minh N. Do, 2017, 3DOR@Eurographics.

Expression-invariant face recognition via spherical embedding

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2005, IEEE International Conference on Image Processing 2005.

Real-time compressed imaging of scattering volumes

Alexander M. Bronstein, Ohad Menashe, A. Bronstein, 2014, 2014 IEEE International Conference on Image Processing (ICIP).

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence

Alexander M. Bronstein, Michael M. Bronstein, Emanuele Rodolà, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

High-Resolution Structured Light Range Scanner with Automatic Calibration

Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, 2003 .

Photometric Heat Kernel Signatures

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2011, SSVM.

Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware pdf

Avi Mendelson, Alexander M. Bronstein, Raja Giryes, 2018, ArXiv.

Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform

Alexander M. Bronstein, Michael M. Bronstein, Michael Zibulevsky, 2002, Proceedings IEEE International Symposium on Biomedical Imaging.

Alfred M. Bruckstein, Alexander M. Bronstein, Ron Kimmel, 2009, International Journal of Computer Vision.

Optimal sparse representations for blind source separation and blind deconvolution: a learning approach

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Multi-Focus Imaging using Optical Phase Mask

Emanuel Marom, Alexander M. Bronstein, Harel Haim, 2014 .

Probably Approximately Symmetric: Fast Rigid Symmetry Detection With Global Guarantees

Alexander M. Bronstein, Shai Avidan, Simon Korman, 2014, Comput. Graph. Forum.

BLIND SEPARATION OF REFLECTIONS USING SPARSE ICA

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2003 .

Shape google: Geometric words and expressions for invariant shape retrieval

Leonidas J. Guibas, Maks Ovsjanikov, Alexander M. Bronstein, 2011, TOGS.

Separation of semireflective layers using sparse ICA

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Fast relative Newton algorithm for blind deconvolution of images

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

Supervised Sparse Analysis and Synthesis Operators

Guillermo Sapiro, Alexander M. Bronstein, Tal Ben Yakar, 2013, NIPS.

Group-Valued Regularization for Analysis of Articulated Motion

Alexander M. Bronstein, Ron Kimmel, Guy Rosman, 2012, ECCV Workshops.

RealSense = real heart rate: Illumination invariant heart rate estimation from videos

Matti Pietikäinen, Guillermo Sapiro, Alexander M. Bronstein, 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).

SGR: Self-Supervised Spectral Graph Representation Learning pdf

Emmanuel Müller, Alexander M. Bronstein, Panagiotis Karras, 2018, ArXiv.

Not only size matters: Regularized partial matching of nonrigid shapes

Alexander M. Bronstein, Michael M. Bronstein, A. Bronstein, 2008, 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops.

Supervised non-negative matrix factorization for audio source separation

Guillermo Sapiro, Alexander M. Bronstein, Pablo Sprechmann, 2015 .

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds pdf

Alexander M. Bronstein, Tal Remez, Or Litany, 2016, ArXiv.

SHREC'10 Track: Feature Detection and Description

Iasonas Kokkinos, Leonidas J. Guibas, Maks Ovsjanikov, 2010, 3DOR@Eurographics.

Group-Valued Regularization for Motion Segmentation of Articulated Shapes

Alon Wolf, Alexander M. Bronstein, Ron Kimmel, 2013, Innovations for Shape Analysis, Models and Algorithms.

Weighted distance maps computation on parametric three-dimensional manifolds

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2007, J. Comput. Phys..

White Matter Fiber Representation Using Continuous Dictionary Learning

Hayit Greenspan, Alexander M. Bronstein, Raja Giryes, 2017, MICCAI.

UNIQ: Uniform Noise Injection for the Quantization of Neural Networks pdf

Avi Mendelson, Alexander M. Bronstein, Raja Giryes, 2018, ArXiv.

Deep Class Aware Denoising pdf

Alexander M. Bronstein, Raja Giryes, Tal Remez, 2017, ArXiv.

Intrinsic Multi-scale Evaluation of Generative Models pdf

Emmanuel Müller, Alexander M. Bronstein, Panagiotis Karras, 2019, ArXiv.

Intrinsic shape context descriptors for deformable shapes

Iasonas Kokkinos, Alexander M. Bronstein, Michael M. Bronstein, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization

Alexander M. Bronstein, Ron Kimmel, Guy Rosman, 2012, 3DOR@Eurographics.

Audio restoration from multiple copies

Guillermo Sapiro, Alexander M. Bronstein, Jean-Michel Morel, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Face Recognition from Facial Surface Metric

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2004, ECCV.

Low-cost Gaze and Pulse Analysis using RealSense

Guillermo Sapiro, Alexander M. Bronstein, Jie Chen, 2015, EAI Endorsed Trans. Ambient Syst..

Shape Retrieval of Non-Rigid 3D Human Models

Bo Li, Ralph R. Martin, Andrea Giachetti, 2014, 3DOR@Eurographics.

DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling

Alexander M. Bronstein, Ron Kimmel, Ronen Talmon, 2017, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching

Guillermo Sapiro, Alexander M. Bronstein, Ron Kimmel, 2010, International Journal of Computer Vision.

Bilevel Sparse Models for Polyphonic Music Transcription

Guillermo Sapiro, Alexander M. Bronstein, Tal Ben Yakar, 2013, ISMIR.

Learnable low rank sparse models for speech denoising

Guillermo Sapiro, Alexander M. Bronstein, Michael M. Bronstein, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

New Results - Fusion/Registration

Ben Glocker, Nikos Komodakis, Nikos Paragios, 2011 .

3D-color video camera

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2009, 2009 IEEE 12th International Conference on Computer Vision Workshops, ICCV Workshops.

Parallelized Algorithms for Rigid Surface Alignment on GPU

Alexander M. Bronstein, Aviad Zabatani, 2012, 3DOR@Eurographics.

Diffusion framework for geometric and photometric data fusion in non-rigid shape analysis pdf

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2011, ArXiv.

Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment

Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà, 2019, 2019 International Conference on 3D Vision (3DV).

Topologically Constrained Isometric Embedding

Alexander M. Bronstein, Ron Kimmel, Guy Rosman, 2006, Human Motion.

A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels

Alexander M. Bronstein, Tal Remez, Or Litany, 2016, 2016 IEEE International Conference on Computational Photography (ICCP).

Spectral Graph Complexity

Emmanuel Müller, Alexander M. Bronstein, Panagiotis Karras, 2019, WWW.

LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning

Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Functional Maps Representation On Product Manifolds

Alexander M. Bronstein, Michael M. Bronstein, Justin Solomon, 2018, Comput. Graph. Forum.

ASIST: Automatic semantically invariant scene transformation

Alexander M. Bronstein, Daniel Freedman, Ran Gal, 2015, Comput. Vis. Image Underst..

Joint intrinsic and extrinsic similarity for recognition of non-rigid shapes

Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, 2007 .

Affine-invariant diffusion geometry for the analysis of deformable 3D shapes

Alexander M. Bronstein, Michael M. Bronstein, Dan Raviv, 2010, CVPR 2011.

Geometry and Learning in 3D Shape Processing Problems

Alexander M. Bronstein, 2018, VISIGRAPP.

Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching

Nikos Paragios, Alexander M. Bronstein, Michael M. Bronstein, 2011, SSVM.

SHREC'10 Track: Correspondence Finding

Leonidas J. Guibas, Maks Ovsjanikov, Radu Horaud, 2010, 3DOR@Eurographics.

Manifold Intrinsic Similarity

Alexander M. Bronstein, Michael M. Bronstein, A. Bronstein, 2015, Handbook of Mathematical Methods in Imaging.

NetLSD: Hearing the Shape of a Graph

Emmanuel Müller, Alexander M. Bronstein, Panagiotis Karras, 2018, KDD.

Numerical Geometry of Non-Rigid Shapes

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2009, Monographs in Computer Science.

QML Blind Deconvolution: Asymptotic Analysis

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2004, ICA.

Bayesian Inference of Bijective Non-Rigid Shape Correspondence pdf

Daniel Cremers, Alexander M. Bronstein, Emanuele Rodolà, 2016, ArXiv.

Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes

Alon Wolf, Alexander M. Bronstein, Ron Kimmel, 2011, SSVM.

Diffusion-geometric maximally stable component detection in deformable shapes pdf

Alexander M. Bronstein, Michael M. Bronstein, Roee Litman, 2010, Comput. Graph..

Learning Efficient Structured Sparse Models pdf

Guillermo Sapiro, Alexander M. Bronstein, Pablo Sprechmann, 2012, ICML.

Separation of reflections via sparse ICA

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2003, SPIE Optics + Photonics.

Feature-Based Methods in 3D Shape Analysis

Maks Ovsjanikov, Alexander M. Bronstein, Michael M. Bronstein, 2012, 3D Imaging, Analysis and Applications.

Manifold Analysis by Topologically Constrained Isometric Embedding

Alexander M. Bronstein, Guy Rosman, Michael M. Bronstein, 2008 .

Learning beamforming in ultrasound imaging

Alexander M. Bronstein, Oleg V. Michailovich, Michael Zibulevsky, 2019, MIDL.

Deformable Shape Completion with Graph Convolutional Autoencoders

Alexander M. Bronstein, Michael M. Bronstein, Or Litany, 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Shape Correspondence with Isometric and Non-Isometric Deformations

Gary K. L. Tam, Daniel Cremers, Mathieu Aubry, 2019, 3DOR@Eurographics.

Sparse Models for Intrinsic Shape Correspondence

Guillermo Sapiro, Alexander M. Bronstein, Michael M. Bronstein, 2016, Perspectives in Shape Analysis.

Numerical Geometry of Non-Rigid Shapes, Monographs in Computer Science

Alexander M. Bronstein, Michael M. Bronstein, Ron Kimmel, 2009 .

Blind separation of tissues in multi-modal MRI using Sparse Component Analysis

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2005, 2005 13th European Signal Processing Conference.

Learning Robust Low-Rank Representations pdf

Guillermo Sapiro, Alexander M. Bronstein, Pablo Sprechmann, 2012, ArXiv.

Efficient Computation of Isometry-Invariant Distances Between Surfaces

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2006, SIAM J. Sci. Comput..

Alfred M. Bruckstein, Alexander M. Bronstein, Ron Kimmel, 2007, SSVM.

Regularized Partial Matching of Rigid Shapes

Alexander M. Bronstein, Michael M. Bronstein, A. Bronstein, 2008, ECCV.

Supervised learning of bag‐of‐features shape descriptors using sparse coding

Alexander M. Bronstein, Michael M. Bronstein, Umberto Castellani, 2014, Comput. Graph. Forum.

Boosted metric learning for 3D multi-modal deformable registration

Nikos Paragios, Alexander M. Bronstein, Michael M. Bronstein, 2011, 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

Quasi Maximum Likelihood Blind Deconvolution of Images Using Optimal Sparse Representations

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2003 .

Data fusion through cross-modality metric learning using similarity-sensitive hashing

Nikos Paragios, Alexander M. Bronstein, Michael M. Bronstein, 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

Stable Spectral Mesh Filtering

Alexander M. Bronstein, Michael M. Bronstein, Artiom Kovnatsky, 2012, ECCV Workshops.

Intel realsense = Real low cost gaze

Guillermo Sapiro, Alexander M. Bronstein, Mark Draelos, 2015, 2015 IEEE International Conference on Image Processing (ICIP).

Multimodal diffusion geometry by joint diagonalization of Laplacians pdf

Davide Eynard, Alexander M. Bronstein, Michael M. Bronstein, 2012, ArXiv.

Delta-encoder: an effective sample synthesis method for few-shot object recognition

Rogério Schmidt Feris, Alexander M. Bronstein, Raja Giryes, 2018, NeurIPS.

Early-Stage Neural Network Hardware Performance Analysis

Avi Mendelson, Alexander M. Bronstein, Chaim Baskin, 2021, Sustainability.

Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval

Alexander M. Bronstein, Xiaozhao Fang, Zhenguo Yang, 2021, Appl. Intell..

Expression-invariant three-dimensional face recognition

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2005 .

Feature-based image alignment via coupled Hough transforms

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2009 .

Optimal non-linear line-of-flight estimation in positron emission tomography

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2002, The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002..

WaldHash: sequential similarity-preserving hashing

Maks Ovsjanikov, Alexander M. Bronstein, Michael M. Bronstein, 2010 .

An Isometric Model for Facial Animation

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, .

Partial matching of rigid shapes

Alexander M. Bronstein, Michael M. Bronstein, 2008 .

In the Rigid Kingdom

Alexander M. Bronstein, Ron Kimmel, Michael M. Bronstein, 2008 .

Alfred M. Bruckstein, Alexander M. Bronstein, Ron Kimmel, 2007 .

Wassertein Barycenter and its Applications to Texture Mixing

Alfred M. Bruckstein, Alexander M. Bronstein, Michael M. Bronstein, 2012 .

Fast Multidimensional Scaling using Vector Extrapolation

Alexander M. Bronstein, Ron Kimmel, Guy Rosman, 2008 .

Optimal nonlinear line-of-flight estimation in positron emission tomography

Yehoshua Y. Zeevi, Alexander M. Bronstein, Michael M. Bronstein, 2003 .

Embedded System for 3 D Shape Reconstruction

Alexander M. Bronstein, Raja Giryes, Michael M. Bronstein, 2008 .