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03/27/2023
Classifier Robustness Enhancement Via Test-Time Transformation
It has been recently discovered that adversarially trained classifiers e...
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07/17/2022
Threat Model-Agnostic Adversarial Defense using Diffusion Models
Deep Neural Networks (DNNs) are highly sensitive to imperceptible malici...
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06/10/2021
GRASP: Graph Alignment through Spectral Signatures
What is the best way to match the nodes of two graphs? This graph alignm...
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04/20/2021
Detector-Free Weakly Supervised Grounding by Separation
Nowadays, there is an abundance of data involving images and surrounding...
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03/19/2021
Self-Supervised Classification Network
We present Self-Classifier – a novel self-supervised end-to-end classifi...
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01/25/2021
ISP Distillation
Nowadays, many of the images captured are "observed" by machines only an...
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11/26/2020
Non-Rigid Puzzles
Shape correspondence is a fundamental problem in computer graphics and v...
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08/11/2020
3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI
Magnetic Resonance Imaging (MRI) has long been considered to be among th...
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03/24/2020
Do We Need Depth in State-Of-The-Art Face Authentication?
Some face recognition methods are designed to utilize geometric features...
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03/06/2020
Noise Estimation Using Density Estimation for Self-Supervised Multimodal Learning
One of the key factors of enabling machine learning models to comprehend...
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02/18/2020
Robust Quantization: One Model to Rule Them All
Neural network quantization methods often involve simulating the quantiz...
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12/01/2019
MetAdapt: Meta-Learned Task-Adaptive Architecture for Few-Shot Classification
Few-Shot Learning (FSL) is a topic of rapidly growing interest. Typicall...
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11/17/2019
Deep Matrix Factorization with Spectral Geometric Regularization
Deep Matrix Factorization (DMF) is an emerging approach to the problem o...
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11/17/2019
Deep geometric matrix completion: Are we doing it right?
We address the problem of reconstructing a matrix from a subset of its e...
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09/19/2019
Localization with Limited Annotation
Localization of an object within an image is a common task in medical im...
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09/13/2019
Horizontal Flows and Manifold Stochastics in Geometric Deep Learning
We introduce two constructions in geometric deep learning for 1) transpo...
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09/12/2019
PILOT: Physics-Informed Learned Optimal Trajectories for Accelerated MRI
Magnetic Resonance Imaging (MRI) has long been considered to be among "t...
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05/27/2019
Intrinsic Multi-scale Evaluation of Generative Models
Generative models are often used to sample high-dimensional data points ...
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05/27/2019
Toward Self-Supervised Object Detection in Unlabeled Videos
Unlabeled video in the wild presents a valuable, yet so far unharnessed,...
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05/22/2019
Self-supervised learning of inverse problem solvers in medical imaging
In the past few years, deep learning-based methods have demonstrated eno...
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05/22/2019
Learning Fast Magnetic Resonance Imaging
Magnetic Resonance Imaging (MRI) is considered today the golden-standard...
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12/19/2018
Learning beamforming in ultrasound imaging
Medical ultrasound (US) is a widespread imaging modality owing its popul...
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12/06/2018
Self-supervised Learning of Dense Shape Correspondence
We introduce the first completely unsupervised correspondence learning a...
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11/15/2018
SGR: Self-Supervised Spectral Graph Representation Learning
Representing a graph as a vector is a challenging task; ideally, the rep...
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12/01/2017
Deformable Shape Completion with Graph Convolutional Autoencoders
The availability of affordable and portable depth sensors has made scann...
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11/22/2017
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks
Hash codes are efficient data representations for coping with the ever g...
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07/25/2017
Efficient Deformable Shape Correspondence via Kernel Matching
We present a method to match three dimensional shapes under non-isometri...
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01/03/2017
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space
Many algorithms for the computation of correspondences between deformabl...
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12/15/2016
Cloud Dictionary: Sparse Coding and Modeling for Point Clouds
With the development of range sensors such as LIDAR and time-of-flight c...
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11/07/2016
Hamiltonian operator for spectral shape analysis
Many shape analysis methods treat the geometry of an object as a metric ...
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09/18/2016
Consistent Discretization and Minimization of the L1 Norm on Manifolds
The L1 norm has been tremendously popular in signal and image processing...
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08/03/2016
FPGA system for real-time computational extended depth of field imaging using phase aperture coding
We present a proof-of-concept end-to-end system for computational extend...
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07/12/2016
Bayesian Inference of Bijective Non-Rigid Shape Correspondence
Many algorithms for the computation of correspondences between deformabl...
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12/06/2015
Image reconstruction from dense binary pixels
Recently, the dense binary pixel Gigavision camera had been introduced, ...
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12/04/2015
ASIST: Automatic Semantically Invariant Scene Transformation
We present ASIST, a technique for transforming point clouds by replacing...
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10/15/2015
A Picture is Worth a Billion Bits: Real-Time Image Reconstruction from Dense Binary Pixels
The pursuit of smaller pixel sizes at ever increasing resolution in digi...
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12/16/2014
Random Forests Can Hash
Hash codes are a very efficient data representation needed to be able to...
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01/29/2014
Graph matching: relax or not?
We consider the problem of exact and inexact matching of weighted undire...
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06/18/2012