Alexander M. Bronstein

Orcid: 0000-0001-9699-8730

Affiliations:
  • Technion - Israel Institute of Technology, Department of Computer Science
  • Tel Aviv University, School of Electrical Engineering


According to our database1, Alexander M. Bronstein authored at least 260 papers between 2002 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2018, "For contributions to three-dimensional geometric processing in imaging".

Timeline

Legend:

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Online presence:

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Bibliography

2024
Active propulsion noise shaping for multi-rotor aircraft localization.
CoRR, 2024

2023
Demystifying Graph Sparsification Algorithms in Graph Properties Preservation.
Proc. VLDB Endow., November, 2023

GRASP: Scalable Graph Alignment by Spectral Corresponding Functions.
ACM Trans. Knowl. Discov. Data, May, 2023

Adversarial robustness via noise injection in smoothed models.
Appl. Intell., April, 2023

Guided diffusion for inverse molecular design.
Nat. Comput. Sci., 2023

Vector Quantile Regression on Manifolds.
CoRR, 2023

Designing Nonlinear Photonic Crystals for High-Dimensional Quantum State Engineering.
CoRR, 2023

Classifier Robustness Enhancement Via Test-Time Transformation.
CoRR, 2023

Multi PILOT: Learned Feasible Multiple Acquisition Trajectories for Dynamic MRI.
CoRR, 2023

Using Deep Reinforcement Learning for mmWave Real-Time Scheduling.
Proceedings of the 14th International Conference on Network of the Future, 2023

Multi PILOT: Feasible Learned Multiple Acquisition Trajectories For Dynamic MRI.
Proceedings of the Medical Imaging with Deep Learning, 2023

Towards Predicting Fine Finger Motions from Ultrasound Images via Kinematic Representation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Fast Nonlinear Vector Quantile Regression.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

GRACE: A Scalable Graph-Based Approach to Accelerating Recommendation Model Inference.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
Baby steps towards few-shot learning with multiple semantics.
Pattern Recognit. Lett., 2022

Horizontal Flows and Manifold Stochastics in Geometric Deep Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Deep fused two-step cross-modal hashing with multiple semantic supervision.
Multim. Tools Appl., 2022

Deep Isometric Maps.
Image Vis. Comput., 2022

Deep Reinforcement Learning for Scheduling and Power Allocation in a 5G Urban Mesh.
CoRR, 2022

Transformer Vs. MLP-Mixer Exponential Expressive Gap For NLP Problems.
CoRR, 2022

Random Search Hyper-Parameter Tuning: Expected Improvement Estimation and the Corresponding Lower Bound.
CoRR, 2022

Threat Model-Agnostic Adversarial Defense using Diffusion Models.
CoRR, 2022

Physical Passive Patch Adversarial Attacks on Visual Odometry Systems.
CoRR, 2022

Intra-class low-rank regularization for supervised and semi-supervised cross-modal retrieval.
Appl. Intell., 2022

Contrast to Divide: Self-Supervised Pre-Training for Learning with Noisy Labels.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Mint: An Accelerator For Mining Temporal Motifs.
Proceedings of the 55th IEEE/ACM International Symposium on Microarchitecture, 2022

Self-Supervised Classification Network.
Proceedings of the Computer Vision - ECCV 2022, 2022

Physical Passive Patch Adversarial Attacks on Visual Odometry Systems.
Proceedings of the Computer Vision - ACCV 2022, 2022

2021
MetAdapt: Meta-learned task-adaptive architecture for few-shot classification.
Pattern Recognit. Lett., 2021

Loss aware post-training quantization.
Mach. Learn., 2021

CAT: Compression-Aware Training for bandwidth reduction.
J. Mach. Learn. Res., 2021

SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits.
CoRR, 2021

Delta-GAN-Encoder: Encoding Semantic Changes for Explicit Image Editing, using Few Synthetic Samples.
CoRR, 2021

Self-Supervised Classification Network.
CoRR, 2021

Inverse Design of Quantum Holograms in Three-Dimensional Nonlinear Photonic Crystals.
CoRR, 2021

ISP Distillation.
CoRR, 2021

Spectral Geometric Matrix Completion.
Proceedings of the Mathematical and Scientific Machine Learning, 2021

Joint Optimization of System Design and Reconstruction in MIMO Radar Imaging.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Detector-Free Weakly Supervised Grounding by Separation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

GRASP: Graph Alignment Through Spectral Signatures.
Proceedings of the Web and Big Data - 5th International Joint Conference, 2021

StarNet: towards Weakly Supervised Few-Shot Object Detection.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Hamiltonian Operator for Spectral Shape Analysis.
IEEE Trans. Vis. Comput. Graph., 2020

Corrections to "Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?".
IEEE Trans. Signal Process., 2020

Overparameterized Models for Vector Fields.
SIAM J. Imaging Sci., 2020

Intel® RealSense™ SR300 Coded Light Depth Camera.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

SimuGAN: Unsupervised forward modeling and optimal design of a LIDAR Camera.
CoRR, 2020

Towards learned optimal q-space sampling in diffusion MRI.
CoRR, 2020

Self-Supervised Learning for Large-Scale Unsupervised Image Clustering.
CoRR, 2020

Data-Driven Prediction of Embryo Implantation Probability Using IVF Time-lapse Imaging.
CoRR, 2020

HCM: Hardware-Aware Complexity Metric for Neural Network Architectures.
CoRR, 2020

Shape retrieval of non-rigid 3d human models.
CoRR, 2020

StarNet: towards weakly supervised few-shot detection and explainable few-shot classification.
CoRR, 2020

Colored Noise Injection for Training Adversarially Robust Neural Networks.
CoRR, 2020

Generating Adversarial Surfaces via Band-Limited Perturbations.
Comput. Graph. Forum, 2020

Robust Quantization: One Model to Rule Them All.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2020

Feature Map Transform Coding for Energy-Efficient CNN Inference.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

The Shape of Data: Intrinsic Distance for Data Distributions.
Proceedings of the 8th International Conference on Learning Representations, 2020

Joint Learning of Cartesian under Sampling Andre Construction for Accelerated MRI.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Self-Supervised Object Detection and Retrieval Using Unlabeled Videos.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Do We Need Depth in State-Of-The-Art Face Authentication?
Proceedings of the 8th International Conference on 3D Vision, 2020

2019
UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks.
ACM Trans. Comput. Syst., 2019

DeepISP: Toward Learning an End-to-End Image Processing Pipeline.
IEEE Trans. Image Process., 2019

Deep geometric matrix completion: Are we doing it right?
CoRR, 2019

Smoothed Inference for Adversarially-Trained Models.
CoRR, 2019

Localization with Limited Annotation.
CoRR, 2019

PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI.
CoRR, 2019

Intrinsic Multi-scale Evaluation of Generative Models.
CoRR, 2019

Toward Self-Supervised Object Detection in Unlabeled Videos.
CoRR, 2019

Learning Fast Magnetic Resonance Imaging.
CoRR, 2019

Towards Learning of Filter-Level Heterogeneous Compression of Convolutional Neural Networks.
CoRR, 2019

Functional Maps Representation On Product Manifolds.
Comput. Graph. Forum, 2019

Spectral Graph Complexity.
Proceedings of the Companion of The 2019 World Wide Web Conference, 2019

DIMAL: Deep Isometric Manifold Learning Using Sparse Geodesic Sampling.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Localization with Limited Annotation for Chest X-rays.
Proceedings of the Machine Learning for Health Workshop, 2019

Learning beamforming in ultrasound imaging.
Proceedings of the International Conference on Medical Imaging with Deep Learning, 2019

Self-supervised Learning of Inverse Problem Solvers in Medical Imaging.
Proceedings of the Domain Adaptation and Representation Transfer and Medical Image Learning with Less Labels and Imperfect Data, 2019

Beholder-Gan: Generation and Beautification of Facial Images with Conditioning on Their Beauty Level.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Learning to Detect and Retrieve Objects From Unlabeled Videos.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unsupervised Learning of Dense Shape Correspondence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019


Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.
Proceedings of the 2019 International Conference on 3D Vision, 2019

2018
Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems.
IEEE Trans. Signal Process., 2018

Class-Aware Fully Convolutional Gaussian and Poisson Denoising.
IEEE Trans. Image Process., 2018

Depth Estimation From a Single Image Using Deep Learned Phase Coded Mask.
IEEE Trans. Computational Imaging, 2018

Self-supervised Learning of Dense Shape Correspondence.
CoRR, 2018

Efficient non-uniform quantizer for quantized neural network targeting reconfigurable hardware.
CoRR, 2018

SGR: Self-Supervised Spectral Graph Representation Learning.
CoRR, 2018

NICE: Noise Injection and Clamping Estimation for Neural Network Quantization.
CoRR, 2018

RepMet: Representative-based metric learning for classification and one-shot object detection.
CoRR, 2018

UNIQ: Uniform Noise Injection for the Quantization of Neural Networks.
CoRR, 2018

DeepISP: Learning End-to-End Image Processing Pipeline.
CoRR, 2018

Functional Maps on Product Manifolds.
Proceedings of the 16th Eurographics Symposium on Geometry Processing, 2018

Delta-encoder: an effective sample synthesis method for few-shot object recognition.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

High Quality Ultrasonic Multi-line Transmission Through Deep Learning.
Proceedings of the Machine Learning for Medical Image Reconstruction, 2018

High Frame-Rate Cardiac Ultrasound Imaging with Deep Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

NetLSD: Hearing the Shape of a Graph.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Streaming Architecture for Large-Scale Quantized Neural Networks on an FPGA-Based Dataflow Platform.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium Workshops, 2018

The Learned Inexact Project Gradient Descent Algorithm.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Geometry and Learning in 3D Shape Processing Problems.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018

Deformable Shape Completion With Graph Convolutional Autoencoders.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
ASIST: Automatic semantically invariant scene transformation.
Comput. Vis. Image Underst., 2017

Towards CT-quality Ultrasound Imaging using Deep Learning.
CoRR, 2017

Deep Class Aware Denoising.
CoRR, 2017

Deep Convolutional Denoising of Low-Light Images.
CoRR, 2017

Fully Spectral Partial Shape Matching.
Comput. Graph. Forum, 2017

Computing and processing correspondences with functional maps.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2017

Subspace Least Squares Multidimensional Scaling.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

White Matter Fiber Representation Using Continuous Dictionary Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2017, 2017

Deep class-aware image denoising.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


Efficient Deformable Shape Correspondence via Kernel Matching.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy?
IEEE Trans. Signal Process., 2016

Sparsity and Nullity: Paradigms for Analysis Dictionary Learning.
SIAM J. Imaging Sci., 2016

Shape Retrieval of Non-rigid 3D Human Models.
Int. J. Comput. Vis., 2016

Bayesian Inference of Bijective Non-Rigid Shape Correspondence.
CoRR, 2016

FPGA system for real-time computational extended depth of field imaging using phase aperture coding.
CoRR, 2016

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds.
CoRR, 2016

Non-Rigid Puzzles.
Comput. Graph. Forum, 2016

Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment.
Comput. Graph. Forum, 2016

Low-cost Gaze and Pulse Analysis using RealSense.
EAI Endorsed Trans. Ambient Syst., 2016

RealSense = real heart rate: Illumination invariant heart rate estimation from videos.
Proceedings of the Sixth International Conference on Image Processing Theory, 2016

A picture is worth a billion bits: Real-time image reconstruction from dense binary threshold pixels.
Proceedings of the 2016 IEEE International Conference on Computational Photography, 2016

SpectroMeter: Amortized Sublinear Spectral Approximation of Distance on Graphs.
Proceedings of the Fourth International Conference on 3D Vision, 2016

Consistent Discretization and Minimization of the L1 Norm on Manifolds.
Proceedings of the Fourth International Conference on 3D Vision, 2016

Sparse Models for Intrinsic Shape Correspondence.
Proceedings of the Perspectives in Shape Analysis, 2016

2015
Manifold Intrinsic Similarity.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Learning Efficient Sparse and Low Rank Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels.
CoRR, 2015

Random Forests Can Hash.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Image reconstruction from dense binary pixels.
CoRR, 2015

On the Stability of Deep Networks.
Proceedings of the 3rd International Conference on Learning Representations, 2015

Probably Approximately Symmetric: Fast Rigid Symmetry Detection With Global Guarantees.
Comput. Graph. Forum, 2015

Intel realsense = Real low cost gaze.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Inverting RANSAC: Global model detection via inlier rate estimation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Scalability of Non-Rigid 3D Shape Retrieval.
Proceedings of the 8th Eurographics Workshop on 3D Object Retrieval, 2015

2014
Multimodal Similarity-Preserving Hashing.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Learning Spectral Descriptors for Deformable Shape Correspondence.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Equi-affine Invariant Geometry for Shape Analysis.
J. Math. Imaging Vis., 2014

Sparse similarity-preserving hashing.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Probably Approximately Symmetric: Fast 3D Symmetry Detection with Global Guarantees.
CoRR, 2014

Graph matching: relax or not?
CoRR, 2014

Supervised learning of bag-of-features shape descriptors using sparse coding.
Comput. Graph. Forum, 2014

Real-time compressed imaging of scattering volumes.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Supervised non-euclidean sparse NMF via bilevel optimization with applications to speech enhancement.
Proceedings of the 4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays, 2014

Quantifying 3D Shape Similarity Using Maps: Recent Trends, Applications and Perspectives.
Proceedings of the 35th Annual Conference of the European Association for Computer Graphics, 2014


2013
Sparse Modeling of Intrinsic Correspondences.
Comput. Graph. Forum, 2013

Coupled quasi-harmonic bases.
Comput. Graph. Forum, 2013

Supervised Sparse Analysis and Synthesis Operators.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Bilevel Sparse Models for Polyphonic Music Transcription.
Proceedings of the 14th International Society for Music Information Retrieval Conference, 2013

Audio restoration from multiple copies.
Proceedings of the IEEE International Conference on Acoustics, 2013

Learnable low rank sparse models for speech denoising.
Proceedings of the IEEE International Conference on Acoustics, 2013

Group-Valued Regularization for Motion Segmentation of Articulated Shapes.
Proceedings of the Innovations for Shape Analysis, Models and Algorithms, 2013

Stable Semi-local Features for Non-rigid Shapes.
Proceedings of the Innovations for Shape Analysis, Models and Algorithms, 2013

2012
LDAHash: Improved Matching with Smaller Descriptors.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Learning Robust Low-Rank Representations
CoRR, 2012

Multimodal diffusion geometry by joint diagonalization of Laplacians
CoRR, 2012

Stable volumetric features in deformable shapes.
Comput. Graph., 2012

Real-time Online Singing Voice Separation from Monaural Recordings Using Robust Low-rank Modeling.
Proceedings of the 13th International Society for Music Information Retrieval Conference, 2012

Learning Efficient Structured Sparse Models.
Proceedings of the 29th International Conference on Machine Learning, 2012

Fast Keyword Searching Using 'BoostMap' Based Embedding.
Proceedings of the 2012 International Conference on Frontiers in Handwriting Recognition, 2012

Diffusion Geometry in Shape Analysis.
Proceedings of the 33rd Annual Conference of the European Association for Computer Graphics, 2012

Group-Valued Regularization for Analysis of Articulated Motion.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Putting the Pieces Together: Regularized Multi-part Shape Matching.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Stable Spectral Mesh Filtering.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

A game-theoretic approach to deformable shape matching.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Intrinsic shape context descriptors for deformable shapes.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Parallelized Algorithms for Rigid Surface Alignment on GPU.
Proceedings of the 5th Eurographics Workshop on 3D Object Retrieval, 2012

Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization.
Proceedings of the 5th Eurographics Workshop on 3D Object Retrieval, 2012

Affine-Invariant Photometric Heat Kernel Signatures.
Proceedings of the 5th Eurographics Workshop on 3D Object Retrieval, 2012

Feature-Based Methods in 3D Shape Analysis.
Proceedings of the 3D Imaging, Analysis and Applications, 2012

2011
Shape google: Geometric words and expressions for invariant shape retrieval.
ACM Trans. Graph., 2011

Are MSER Features Really Interesting?
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Shape Recognition with Spectral Distances.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Spectral descriptors for deformable shapes
CoRR, 2011

SHREC 2011: robust feature detection and description benchmark
CoRR, 2011

Diffusion framework for geometric and photometric data fusion in non-rigid shape analysis
CoRR, 2011

Affine-invariant geodesic geometry of deformable 3D shapes.
Comput. Graph., 2011

Diffusion-geometric maximally stable component detection in deformable shapes.
Comput. Graph., 2011

Equi-affine Invariant Geometries of Articulated Objects.
Proceedings of the Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26, 2011

Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

A Correspondence-Less Approach to Matching of Deformable Shapes.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Photometric Heat Kernel Signatures.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Deformable Shape Retrieval by Learning Diffusion Kernels.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Boosted metric learning for 3D multi-modal deformable registration.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Fast Key-Word Searching via Embedding and Active-DTW.
Proceedings of the 2011 International Conference on Document Analysis and Recognition, 2011

Affine-invariant diffusion geometry for the analysis of deformable 3D shapes.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011


2010
Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding.
Int. J. Comput. Vis., 2010

Full and Partial Symmetries of Non-rigid Shapes.
Int. J. Comput. Vis., 2010

A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching.
Int. J. Comput. Vis., 2010

The Video Genome
CoRR, 2010

Volumetric heat kernel signatures.
Proceedings of the ACM workshop on 3D object retrieval, 2010

Intrinsic Regularity Detection in 3D Geometry.
Proceedings of the Computer Vision, 2010

Spatially-Sensitive Affine-Invariant Image Descriptors.
Proceedings of the Computer Vision, 2010

Data fusion through cross-modality metric learning using similarity-sensitive hashing.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


SHREC'10 Track: Correspondence Finding.
Proceedings of the 3rd Eurographics Workshop on 3D Object Retrieval, 2010


2009
Numerical Geometry of Non-Rigid Shapes
Monographs in Computer Science, Springer, ISBN: 978-0-387-73301-2, 2009

Partial Similarity of Shapes Using a Statistical Significance Measure.
IPSJ Trans. Comput. Vis. Appl., 2009

Topology-Invariant Similarity of Nonrigid Shapes.
Int. J. Comput. Vis., 2009

Partial Similarity of Objects, or How to Compare a Centaur to a Horse.
Int. J. Comput. Vis., 2009

3D-color video camera.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Shape Google: a computer vision approach to isometry invariant shape retrieval.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

On reconstruction of non-rigid shapes with intrinsic regularization.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008
Parallel algorithms for approximation of distance maps on parametric surfaces.
ACM Trans. Graph., 2008

Analysis of Two-Dimensional Non-Rigid Shapes.
Int. J. Comput. Vis., 2008

Regularized Partial Matching of Rigid Shapes.
Proceedings of the Computer Vision, 2008

Not only size matters: Regularized partial matching of nonrigid shapes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Numerical geometry of non-rigid objects: embedding problems.
PhD thesis, 2007

Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation.
IEEE Trans. Vis. Comput. Graph., 2007

Expression-Invariant Representations of Faces.
IEEE Trans. Image Process., 2007

Weighted distance maps computation on parametric three-dimensional manifolds.
J. Comput. Phys., 2007

Paretian Similarity for Partial Comparison of Non-rigid Objects.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Symmetries of non-rigid shapes.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Rock, Paper, and Scissors: extrinsic vs. intrinsic similarity of non-rigid shapes.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Efficient Computation of Isometry-Invariant Distances Between Surfaces.
SIAM J. Sci. Comput., 2006

Multigrid multidimensional scaling.
Numer. Linear Algebra Appl., 2006

On Separation of Semitransparent Dynamic Images from Static Background.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Robust Expression-Invariant Face Recognition from Partially Missing Data.
Proceedings of the Computer Vision, 2006

Topologically Constrained Isometric Embedding.
Proceedings of the Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06., 2006

Facetoface: An Isometric Model for Facial Animation.
Proceedings of the Articulated Motion and Deformable Objects, 4th International Conference, 2006

Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling.
Proceedings of the Articulated Motion and Deformable Objects, 4th International Conference, 2006

2005
Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency.
IEEE Trans. Signal Process., 2005

Relative optimization for blind deconvolution.
IEEE Trans. Signal Process., 2005

Blind deconvolution of images using optimal sparse representations.
IEEE Trans. Image Process., 2005

Sparse ICA for blind separation of transmitted and reflected images.
Int. J. Imaging Syst. Technol., 2005

Three-Dimensional Face Recognition.
Int. J. Comput. Vis., 2005

Isometric Embedding of Facial Surfaces into.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

"Unmixing" tissues: sparse component analysis in multi-contrast MRI.
Proceedings of the 2005 International Conference on Image Processing, 2005

Expression-invariant face recognition via spherical embedding.
Proceedings of the 2005 International Conference on Image Processing, 2005

Blind separation of tissues in multi-modal MRI using Sparse Component Analysis.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Blind source separation using block-coordinate relative Newton method.
Signal Process., 2004

Quasi-Maximum Likelihood Blind Deconvolution of Images Acquired Through Scattering Media.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Fast relative newton algorithm for blind deconvolution of images.
Proceedings of the 2004 International Conference on Image Processing, 2004

Optimal sparse representations for blind source separation and blind deconvolution: a learning approach.
Proceedings of the 2004 International Conference on Image Processing, 2004

Fusion of 2D and 3D data in three-dimensional face recognition.
Proceedings of the 2004 International Conference on Image Processing, 2004

QML Blind Deconvolution: Asymptotic Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Optimal Sparse Representations for Blind Deconvolution of Images.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Blind Deconvolution Using the Relative Newton Method.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Face Recognition from Facial Surface Metric.
Proceedings of the Computer Vision, 2004

2003
Separation of reflections via sparse ICA.
Proceedings of the 2003 International Conference on Image Processing, 2003

Separation of semireflective layers using sparse ICA.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Expression-Invariant 3D Face Recognition.
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003

2002
Reconstruction in Diffraction Ultrasound Tomography Using Non-Uniform FFT.
IEEE Trans. Medical Imaging, 2002

Optimal nonlinear estimation of photon coordinates in PET.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002


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