Margarita Osadchy

According to our database, Margarita Osadchy authored at least 46 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Unified Approach to Coreset Learning.

Alaa Maalouf, Gilad Eini, Ben Mussay, Dan Feldman, Margarita Osadchy

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Reconstructing Randomly Masked Spectra Helps DNNs Identify Discriminant Wavenumbers.

Yingying Wu, Jinchao Liu, Yan Wang, Stuart J. Gibson, Margarita Osadchy, Yongchun Fang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Mind the Gap: Learning Modality-Agnostic Representations With a Cross-Modality UNet.

Xin Niu, Enyi Li, Jinchao Liu, Yan Wang, Margarita Osadchy, Yongchun Fang

IEEE Trans. Image Process., 2024

Is Tokenization Needed for Masked Particle Modelling?

Matthew Leigh, Samuel Klein, François Charton, Tobias Golling, Lukas Heinrich, Michael Kagan, Inês Ochoa, Margarita Osadchy

CoRR, 2024

Masked Particle Modeling on Sets: Towards Self-Supervised High Energy Physics Foundation Models.

Lukas Heinrich, Tobias Golling, Michael Kagan, Samuel Klein, Matthew Leigh, Margarita Osadchy, John Andrew Raine

CoRR, 2024

2023

A Fast and Reliable Solution to PnP, Using Polynomial Homogeneity and a Theorem of Hilbert.

Daniel Keren, Margarita Osadchy, Amit Shahar

Sensors, 2023

Dataset Distillation Meets Provable Subset Selection.

Murad Tukan, Alaa Maalouf, Margarita Osadchy

CoRR, 2023

2022

Data-Independent Structured Pruning of Neural Networks via Coresets.

Ben Mussay, Dan Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy

IEEE Trans. Neural Networks Learn. Syst., 2022

2021

Inverting Binarizations of Facial Templates Produced by Deep Learning (and Its Implications).

Danny Keller, Margarita Osadchy, Orr Dunkelman

IEEE Trans. Inf. Forensics Secur., 2021

2020

LSHR-Net: A hardware-friendly solution for high-resolution computational imaging using a mixed-weights neural network.

Fangliang Bai, Jinchao Liu, Xiaojuan Liu, Margarita Osadchy, Chao Wang, Stuart J. Gibson

Neurocomputing, 2020

Fuzzy Commitments Offer Insufficient Protection to Biometric Templates Produced by Deep Learning.

Danny Keller, Margarita Osadchy, Orr Dunkelman

CoRR, 2020

Data-Independent Neural Pruning via Coresets.

Ben Mussay, Margarita Osadchy, Vladimir Braverman, Samson Zhou, Dan Feldman

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

It is All in the System's Parameters: Privacy and Security Issues in Transforming Biometric Raw Data into Binary Strings.

Margarita Osadchy, Orr Dunkelman

IEEE Trans. Dependable Secur. Comput., 2019

LDA classifier monitoring in distributed streaming systems.

Ran Bernstein, Margarita Osadchy, Daniel Keren, Assaf Schuster

J. Parallel Distributed Comput., 2019

2018

Hinge-Minimax Learner for the Ensemble of Hyperplanes.

Dolev Raviv, Tamir Hazan, Margarita Osadchy

J. Mach. Learn. Res., 2018

Learning to Support: Exploiting Structure Information in Support Sets for One-Shot Learning.

Jinchao Liu, Stuart J. Gibson, Margarita Osadchy

CoRR, 2018

Dynamic Spectrum Matching with One-shot Learning.

Jinchao Liu, Stuart J. Gibson, James Mills, Margarita Osadchy

CoRR, 2018

2017

No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples, With Applications to CAPTCHA Generation.

Margarita Osadchy, Julio C. Hernandez-Castro, Stuart J. Gibson, Orr Dunkelman, Daniel Pérez-Cabo

IEEE Trans. Inf. Forensics Secur., 2017

Deep Convolutional Neural Networks for Raman Spectrum Recognition: A Unified Solution.

Jinchao Liu, Margarita Osadchy, Lorna Ashton, Michael Foster, Christopher J. Solomon, Stuart J. Gibson

CoRR, 2017

Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples.

Dolev Raviv, Margarita Osadchy

CoRR, 2017

GenFace: Improving Cyber Security Using Realistic Synthetic Face Generation.

Margarita Osadchy, Yan Wang, Orr Dunkelman, Stuart J. Gibson, Julio C. Hernandez-Castro, Christopher J. Solomon

Proceedings of the Cyber Security Cryptography and Machine Learning, 2017

2016

Recognition Using Hybrid Classifiers.

Margarita Osadchy, Daniel Keren, Dolev Raviv

IEEE Trans. Pattern Anal. Mach. Intell., 2016

No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples with Applications to CAPTCHA.

Margarita Osadchy, Julio C. Hernandez-Castro, Stuart J. Gibson, Orr Dunkelman, Daniel Pérez-Cabo

IACR Cryptol. ePrint Arch., 2016

HoneyFaces: Increasing the Security and Privacy of Authentication Using Synthetic Facial Images.

Mor Ohana, Orr Dunkelman, Stuart J. Gibson, Margarita Osadchy

CoRR, 2016

2015

K-hyperplane Hinge-Minimax Classifier.

Margarita Osadchy, Tamir Hazan, Daniel Keren

Proceedings of the 32nd International Conference on Machine Learning, 2015

2013

Recognition Using Specular Highlights.

Aaron Netz, Margarita Osadchy

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Secure authentication from facial attributeswith no privacy loss.

Orr Dunkelman, Margarita Osadchy, Mahmood Sharif

Proceedings of the 2013 ACM SIGSAC Conference on Computer and Communications Security, 2013

2012

Hybrid Classifiers for Object Classification with a Rich Background.

Margarita Osadchy, Daniel Keren, Bella Fadida-Specktor

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

Using specular highlights as pose invariant features for 2D-3D pose estimation.

Aaron Netz, Margarita Osadchy

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

SCiFI - A System for Secure Face Identification.

Margarita Osadchy, Benny Pinkas, Ayman Jarrous, Boaz Moskovich

Proceedings of the 31st IEEE Symposium on Security and Privacy, 2010

Illumination invariant representation for privacy preserving face identification.

Boaz Moskovich, Margarita Osadchy

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010

2008

Using specularities in comparing 3D models and 2D images.

Margarita Osadchy, David W. Jacobs, Ravi Ramamoorthi, David Tucker

Comput. Vis. Image Underst., 2008

Loose shape model for discriminative learning of object categories.

Margarita Osadchy, Elran Morash

Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007

Surface Dependent Representations for Illumination Insensitive Image Comparison.

Margarita Osadchy, David W. Jacobs, Michael Lindenbaum

IEEE Trans. Pattern Anal. Mach. Intell., 2007

Synergistic Face Detection and Pose Estimation with Energy-Based Models.

Margarita Osadchy, Yann LeCun, Matthew L. Miller

J. Mach. Learn. Res., 2007

2006

Incorporating the Boltzmann Prior in Object Detection Using SVM.

Margarita Osadchy, Daniel Keren

Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005

On the Equivalence of Common Approaches to Lighting Insensitive Recognition.

Margarita Osadchy, David W. Jacobs, Michael Lindenbaum

Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

2004

A rejection-based method for event detection in video.

Margarita Osadchy, Daniel Keren

IEEE Trans. Circuits Syst. Video Technol., 2004

Efficient detection under varying illumination conditions and image plane rotations.

Margarita Osadchy, Daniel Keren

Comput. Vis. Image Underst., 2004

Whitening for Photometric Comparison of Smooth Surfaces under Varying Illumination.

Margarita Osadchy, Michael Lindenbaum, David W. Jacobs

Proceedings of the Computer Vision, 2004

2003

Using Specularities for Recognition.

Margarita Osadchy, David W. Jacobs, Ravi Ramamoorthi

Proceedings of the 9th IEEE International Conference on Computer Vision (ICCV 2003), 2003

2001

Antifaces: A Novel, Fast Method for Image Detection.

Daniel Keren, Margarita Osadchy, Craig Gotsman

IEEE Trans. Pattern Anal. Mach. Intell., 2001

Image Detection Under Varying Illumination and Pose.

Margarita Osadchy, Daniel Keren

Proceedings of the Eighth International Conference On Computer Vision (ICCV-01), Vancouver, British Columbia, Canada, July 7-14, 2001, 2001

Anti-Sequences: Event Detection by Frame Stacking.

Margarita Osadchy, Daniel Keren, Yaniv Gal

Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000

Anti-Faces for Detection.

Daniel Keren, Margarita Osadchy, Craig Gotsman

Proceedings of the Computer Vision - ECCV 2000, 6th European Conference on Computer Vision, Dublin, Ireland, June 26, 2000

1999

Restoring subsampled color images.

Daniel Keren, Margarita Osadchy

Mach. Vis. Appl., 1999