
GRASP: Graph Alignment through Spectral Signatures
What is the best way to match the nodes of two graphs? This graph alignm...
read it

DetectorFree Weakly Supervised Grounding by Separation
Nowadays, there is an abundance of data involving images and surrounding...
read it

SelfSupervised Classification Network
We present SelfClassifier – a novel selfsupervised endtoend classifi...
read it

ISP Distillation
Nowadays, many of the images captured are "observed" by machines only an...
read it

NonRigid Puzzles
Shape correspondence is a fundamental problem in computer graphics and v...
read it

3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI
Magnetic Resonance Imaging (MRI) has long been considered to be among th...
read it

Do We Need Depth in StateOfTheArt Face Authentication?
Some face recognition methods are designed to utilize geometric features...
read it

Noise Estimation Using Density Estimation for SelfSupervised Multimodal Learning
One of the key factors of enabling machine learning models to comprehend...
read it

Robust Quantization: One Model to Rule Them All
Neural network quantization methods often involve simulating the quantiz...
read it

MetAdapt: MetaLearned TaskAdaptive Architecture for FewShot Classification
FewShot Learning (FSL) is a topic of rapidly growing interest. Typicall...
read it

Deep Matrix Factorization with Spectral Geometric Regularization
Deep Matrix Factorization (DMF) is an emerging approach to the problem o...
read it

Deep geometric matrix completion: Are we doing it right?
We address the problem of reconstructing a matrix from a subset of its e...
read it

Localization with Limited Annotation
Localization of an object within an image is a common task in medical im...
read it

Horizontal Flows and Manifold Stochastics in Geometric Deep Learning
We introduce two constructions in geometric deep learning for 1) transpo...
read it

PILOT: PhysicsInformed Learned Optimal Trajectories for Accelerated MRI
Magnetic Resonance Imaging (MRI) has long been considered to be among "t...
read it

Intrinsic Multiscale Evaluation of Generative Models
Generative models are often used to sample highdimensional data points ...
read it

Toward SelfSupervised Object Detection in Unlabeled Videos
Unlabeled video in the wild presents a valuable, yet so far unharnessed,...
read it

Selfsupervised learning of inverse problem solvers in medical imaging
In the past few years, deep learningbased methods have demonstrated eno...
read it

Learning Fast Magnetic Resonance Imaging
Magnetic Resonance Imaging (MRI) is considered today the goldenstandard...
read it

Learning beamforming in ultrasound imaging
Medical ultrasound (US) is a widespread imaging modality owing its popul...
read it

Selfsupervised Learning of Dense Shape Correspondence
We introduce the first completely unsupervised correspondence learning a...
read it

SGR: SelfSupervised Spectral Graph Representation Learning
Representing a graph as a vector is a challenging task; ideally, the rep...
read it

Deformable Shape Completion with Graph Convolutional Autoencoders
The availability of affordable and portable depth sensors has made scann...
read it

ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks
Hash codes are efficient data representations for coping with the ever g...
read it

Efficient Deformable Shape Correspondence via Kernel Matching
We present a method to match three dimensional shapes under nonisometri...
read it

Product Manifold Filter: NonRigid Shape Correspondence via Kernel Density Estimation in the Product Space
Many algorithms for the computation of correspondences between deformabl...
read it

Cloud Dictionary: Sparse Coding and Modeling for Point Clouds
With the development of range sensors such as LIDAR and timeofflight c...
read it

Hamiltonian operator for spectral shape analysis
Many shape analysis methods treat the geometry of an object as a metric ...
read it

Consistent Discretization and Minimization of the L1 Norm on Manifolds
The L1 norm has been tremendously popular in signal and image processing...
read it

FPGA system for realtime computational extended depth of field imaging using phase aperture coding
We present a proofofconcept endtoend system for computational extend...
read it

Bayesian Inference of Bijective NonRigid Shape Correspondence
Many algorithms for the computation of correspondences between deformabl...
read it

Image reconstruction from dense binary pixels
Recently, the dense binary pixel Gigavision camera had been introduced, ...
read it

ASIST: Automatic Semantically Invariant Scene Transformation
We present ASIST, a technique for transforming point clouds by replacing...
read it

A Picture is Worth a Billion Bits: RealTime Image Reconstruction from Dense Binary Pixels
The pursuit of smaller pixel sizes at ever increasing resolution in digi...
read it

Random Forests Can Hash
Hash codes are a very efficient data representation needed to be able to...
read it

Graph matching: relax or not?
We consider the problem of exact and inexact matching of weighted undire...
read it

Learning Efficient Structured Sparse Models
We present a comprehensive framework for structured sparse coding and mo...
read it
Alex Bronstein
is this you? claim profile
Associate Professor of Department of Computer Science at Technion