Margarita Osadchy

My photo
Computer Science Department,
University of Haifa, Mount Carmel,
Haifa 31905, Israel
Office : +972-4-8288444
Fax : +972-4-8249331
Email : rita [at]cs [dot]haifa.ac.il

Research Interests:

My research interests are computer vision, image processing, and machine learning. Within these areas I focus on:
  • Machine learning
  • Object recognition and detection
  • Privacy in biometric data
  • Illumination insensitive recognition of objects with different materials properties such as matte, specular, transparent and their combinations
  • Photometric image matching
  • Event recognition

Events

Courses:

Image and Video Recognition Seminar  203.3705
Lab in Computer Vision  203.4720
Introduction to Machine Learning  203.4770
Recognition and Classification in Images and Video Course 203.4780
Introduction to Computer Science  203.1110
Unsupervised Learning  203.4700

Publications:

  • R. Dolev and M. Osadchy, Latent Hinge-Minimax Risk Minimization for Inference from a Small Number of Training Samples. CoRR abs/1702.01293 (2017), PDF.
  • M. Ohana, O. Dunkelman, S. Gibson, M. Osadchy, HoneyFaces: Increasing the Security and Privacy of Authentication Using Synthetic Facial Images. CoRR abs/1611.03811 (2016), PDF.
  • M. Osadchy, J. Hernandez-Castro, S. Gibson, O. Dunkelman, D. Perez-Cabo, No Bot Expects the DeepCAPTCHA! Introducing Immutable Adversarial Examples with Applications to CAPTCHA. IACR Cryptology ePrint Archive 2016: 336 (2016), PDF.
  • M. Osadchy, D. Keren, D. Raviv, Recognition Using Hybrid Classifiers IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 38, No.4, 2016, pp. 759-771 [PDF ,Code]
  • M. Osadchy, T. Hazan, D. Keren, K-hyperplane Hinge-Minimax Classifier, Int. Confernce on Machine Leraning (ICML) 2015: 1558-1566.[PDF, Slides]
  • O. Dunkelman, M. Osadchy, M. Sharif, Secure authentication from facial attributes with no privacy loss, ACM Conference on Computer and Communications Security 2013, pp.1403-1406.
  • A. Netz and M. Osadchy, Recognition using Specular Highlights, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, No.3, 2013, pp.639-652. [project ].
  • M. Osadchy, D. Keren, and B. Fadida-Specktor, Hybrid Classifiers for Object Classification with a Rich Background, Proc. of European Conference on Computer Vision (ECCV) 2012, pp. 284-297, [PDF, Slides]
  • M. Osadchy, R. Kolodny, Maps of protein structure space reveal a fundamental relationship between protein structure and function, Proc. Natl. Acad. Sci., 2011,Vol. 108, No. 30. pp.12301-12306. [PDF,Suppl. Material]
  • A.Netz and M.Osadchy, Using Specular Highlights as Pose Invariant Features for 2D-3D Pose Estimation, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2011 [PDF, project ]
  • B. Mosckovich, M. Osadchy, Illumination Invariant Representation for Privacy Preserving Face Identification, Workshop on Biometrics 2010, CVPRW 2010. Available files: [ project and code ]
  • M. Osadchy, B. Pinkas, A. Jarrous and B. Moskovich,SCiFI - A System for Secure Face Identification, 31st IEEE Symposium on Security & Privacy, May 16-19, 2010, Oakland, CA. (Received the best paper award!) [ PDF, project and code ]
  • M. Osadchy, E. Morash, Loose shape model for discriminative learning of object categories, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR),2008, PDF.
  • M. Osadchy, D.W. Jacobs, R. Ramamoorthi, D. Tucker, Using Specularities in Comparing 3D Models and 2D Images, CVIU, Vol. 111(3), 2008, pp. 275-294. PDF
  • M. Osadchy, M. Lindenbaum, D.W. Jacobs, Surface Dependent Representations for Illumination Insensitive Image Comparison, IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 29(1), 2007, pp. 98-111. PDF
  • M. Osadchy, Y. LeCun, M. Miller, Synergistic Face Detection and Pose Estimation with Energy-Based Models, Journal of Machine Learning Research, Volume 8, 2007, pp.1197 1215. PDF
  • M. Osadchy, D. Keren, Incorporating the Boltzmann Prior in Object Detection Using SVM, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2006, pp. 2095-2101, PDF
  • M. Osadchy, D.W. Jacobs, M. Lindenbaum, On the Equivalence of Common Approaches to Lighting Insensitive Recognition, Proc. IEEE International Conference on Computer Vision (ICCV) 2005.
  • M. Osadchy and D. Keren, Efficient Detection under Varying Illumination Conditions and Image Plane Rotations, Computer Vision and Image Understanding, Volume 93, Issue 3, March 2004, pp. 245-259.
  • M. Osadchy and D. Keren, A Rejection-Based Method for Event Detection in Video, IEEE Trans. on circuits and systems for video technology, Volume 14, Issue 4, April 2004, pp. 534-541.
  • M. Osadchy, M.L. Miller, Y. LeCun, Synergistic Face Detection and Pose Estimation with Energy Based Models, Advances in Neural Information Processing Systems (NIPS) 2004.
  • M. Osadchy, M. Lindenbaum and D.W. Jacobs, Whitening for photometric comparison of smooth surfaces, Proc. of European Conference on Computer Vision (ECCV), 2004.
  • M. Osadchy, M.L. Miller, Y. LeCun, Synergistic Face Detection and Pose Estimation, Machine Learning Workshop, Snowbird, 2004.
  • M. Osadchy, M. Lindenbaum and D.W. Jacobs, Whitening for photometric comparison of smooth surfaces, Int'l Workshop on Statistical and Computational Theories of Vision, 2003.
  • M. Osadchy, D.W. Jacobs and R. Ramamoorthi, Using specularities for recognition, IEEE International Conference on Computer Vision (ICCV), 2003, pp. 1512-1519.
  • M. Osadchy, D. Keren and Y. Gal, Anti-Sequences: Event detection by frame stacking, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2001, (II: 46-51).
  • M. Osadchy and D. Keren, Image Detection under varying illumination and pose, IEEE International Conference on Computer Vision (ICCV), 2001, (II: 668-673).
  • D. Keren M. Osadchy and C. Gotsman, Anti-Faces: A novel, fast method for image detection, IEEE Transactions on Pattern Analysis and Machine Intelligence, No. 7, July 2001, pp. 747-761.
  • D. Keren, M.Osadchy and C. Gotsman, Anti-Faces for detection, Proc. of European Conference on Computer Vision (ECCV), June 2000.
  • D. Keren and M. Osadchy, Restoring subsampled color images, Machine Vision and Applications, Vol. 11, issue 4, 1999, pp.197-202.

Book Chapters:

  • Margarita Osadchy, Yann Le Cun, Matthew L. Miller, Synergistic Face Detection and Pose Estimation with Energy-Based Models , In Toward Category-Level Object Recognition, M. Hebert, C. Schmid, A. Zisserman (Eds.) Lecture Notes in Computer Science , Vol. 4170, 2007, pp 196-206.

Patents:

  • M. Osadchy, B. Pinkas, A. Jarrous, B. Moskovich, System for Secure Face Identification (SCiFI) and Methods Useful in Conjunction Therewith , US Patent App. 12/828,906, 2010.
  • M.L. Miller, M.Osadchy, and Y. LeCun, Synergistic face detection and pose estimation with energy-based models, US Patent No. 7236615, 2005.
  • M. Osadchy and D. Reisfeld, Method and apparatus for intracardially surveying conditions of a chamber of a heart, US patent No. 6385476,2002.
  • M. Osadchy and D. Reisfeld, Method and apparatus for mapping a chamber of a heart, US patent No. 6368285, 2002.