Bio I am a Perception Software Engineer @ Lyft, Level 5, Self-Driving Division.
Previously, I completed my postdoc in the Geometric Computation Group headed by Prof. Leonidas Guibas, at the Computer Science Department at Stanford University. Before that, I obtained my PhD at the Computer Science Department at the Technion, Israel, where I was advised by Prof. Ron Kimmel, and my MSc and BSc from the Electrical Engineering Department, also at the Technion.
My research interests are in geometry processing and computer vision, in particular: machine learning for 3D shape analysis, synthesis and completion; spectral methods for non-rigid 3D shape analysis; variational methods for image and shape analysis; medical image analysis. See the list of my publications below.
[Email] [Google scholar] [Github][LinkedIn]
News
- March 2020: I gave a lightning talk about Perception for Autonomous Cars at Women in Machine Learning and Data Science meetup at Lyft HQ in San Francisco.
- Nov 2019: I will be serving on the Program Committee of Shape Modeling International (SMI) 2020
- June 2019: I gave a short course on 3D Deep Learning at the Eurographics Symposium on Geometry Processing (SGP) 2019 Graduate School on July 6-7 [slides]
- Mar 2019: I gave a talk on Structured embedding spaces for shape completion and synthesis at IPAM workshop on Geometry and Learning from Data in 3D and Beyond, April 29 - May 3 [slides] [Video]
- Nov 2018: I will be serving on the Program Committee of Shape Modeling International (SMI) 2019
- May 2018: Paper accepted to the Eurographics Symposium on Geometry Processing (SGP)
- Dec 2017: I will be serving on the Program Committees of Shape Modeling International (SMI) 2018 and Eurographics Short Papers 2018
- Nov 2017: I will participate in the Rising Stars in EECS 2017 workshop at Stanford (Nov 5 - Nov 8)
Publications
2019
Composite Shape Modeling via Latent Space Factorization
Anastasia Dubrovina, Fei Xia, Panos Achlioptas, Mira Shalah, Raphael Groscot
and Leonidas Guibas
ICCV, 2019
[ arxiv ] [ pdf ] [ suppl ] [ bibtex ]
Conference
Supervised fitting of geometric primitives to 3D point clouds
Lingxiao Li*, Minhyuk Sung*, Anastasia Dubrovina, Li Yi, and Leonidas Guibas (* equal contribution)
CVPR, 2019 (Oral)
[ arxiv | code ]
Conference
2018
Learning fuzzy set representations of partial shapes on dual embedding spaces
Minhyuk Sung, Anastasia Dubrovina, Vladimir G. Kim, and Leonidas Guibas
Eurographics Symposium on Geometry Processing (SGP), 2018
[ project | pdf | presentation | code | bibtex ]
Conference
2016
Spectral generalized multidimensional scaling
Yonathan Aflalo, Anastasia Dubrovina and Ron Kimmel
International Journal of Computer Vision (IJCV), 2016
[ pdf | bibtex | springer sharedit ]
Journal
Computational mammography using deep neural networks
Anastasia Dubrovina, Pavel Kisilev, Boris Ginsburg, Sharbel Hashoul and Ron Kimmel
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2016
[ pdf | poster | bibtex ]
Journal
Non-rigid shape correspondence using surface descriptors and metric structures in the spectral domain
Anastasia Dubrovina, Yonathan Aflalo and Ron Kimmel
Dagstuhl seminar no. 14072: New Perspectives in Shape Analysis, 2016
[ pdf ]
Book chapter
2015
Multi-region active contours with a single level set function
Anastasia Dubrovina, Guy Rosman and Ron Kimmel
IEEE Transaction on Pattern Analysis and Machine Intelligence (TPAMI), 2015
[ pdf | bibtex ]
Journal
Multi-region active contours with a single level set function
Anastasia Dubrovina, Guy Rosman and Ron Kimmel
Women in Computer Vision (WiCV), CVPR workshop, 2015
[ Abstract | presentation | poster ]
Workshop
Computational mammography using deep neural networks
Anastasia Dubrovina, Pavel Kisilev, Boris Ginsburg, Sharbel Hashoul and Ron Kimmel
Deep Learning in Medical Image analisys (DLMIA), MICCAI workshop, 2015
[ pdf | poster ]
Workshop
Geometric algorithms for image and surface analysis
Anastasia Dubrovina
PhD dissertation, Technion, 2015
[ pdf | bibtex ]
PhD thesis
2014
Image editing using level set trees
Anastasia Dubrovina, Rom Hershkovitz and Ron Kimmel
IEEE Int. Conf. on Image Processing (ICIP), 2014
[ pdf | presentation | poster | bibtex ]
Conference
2013
Hierarchical framework for shape correspondence
Dan Raviv, Anastasia Dubrovina and Ron Kimmel
Numerical Mathematics: Theory, Methods and Applications (NM-TMA), 2013
[ pdf | bibtex ]
Journal
Patch collaborative spectral point cloud denoising
Guy Rosman, Anastasia Dubrovina and Ron Kimmel
Computer Graphics Forum (CGF), 2013
[ pdf | bibtex ]
Journal
Active contours for multi-region image segmentation with a single level set function
Anastasia Dubrovina, Guy Rosman and Ron Kimmel
Scale Space and Variational Methods in Computer Vision (SSVM), 2013
[ pdf | poster | bibtex ]
Conference
The Laplace-Beltrami operator: a ubiquitous tool for image and shape processing
Aaron Wetzler, Yonathan Aflalo, Anastasia Dubrovina and Ron Kimmel
Mathematical Morphology and Its Applications to Signal and Image Processing, 2013
[ pdf | bibtex ]
Conference
Non-rigid shape correspondence using pointwise surface descriptors and metric structures
Anastasia Dubrovina, Dan Raviv and Ron Kimmel
Dagstuhl seminar no. 11142, Innovations for Shape Analysis: Models and Algorithms, 2013
[ pdf | bibtex ]
Book chapter
2012
Sparse modeling of shape from structured light
Guy Rosman, Anastasia Dubrovina and Ron Kimmel
Int. Conf. on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DPVT), 2012
[ pdf | bibtex ]
Conference
Efficient and robust image descriptor for GUI object classification
Anastasia Dubrovina, Pavel Kisilev, Daniel Freedman, Sagi Schein, and Ruth Bergman
Int. Conf. on Pattern Recognition (ICPR), 2012
[ pdf | poster | HP Labs technical report | bibtex ]
Conference
2011
Approximately isometric shape correspondence by matching pointwise spectral features and global geodesic structures
Anastasia Dubrovina and Ron Kimmel
Advances in Adaptive Data Analysis (AADA), 2011
[ pdf | bibtex ]
Journal
Hierarchical matching of non-rigid shapes
Dan Raviv (equal contributor), Anastasia Dubrovina (equal contributor) and Ron Kimmel
Int. Conf. on Scale Space and Variational Methods in Computer Vision (SSVM), 2011
[ pdf> | presentation | bibtex ]
Conference
2010
Matching shapes by eigendecomposition of the Laplace-Beltrami operator
Anastasia Dubrovina and Ron Kimmel
International Symposium on 3D Data Processing Visualization and Transmission (3DPVT), 2010
[ pdf | presentation | bibtex ]
Conference
SHREC 2010: robust correspondence benchmark
A. M. Bronstein, M. M. Bronstein, U. Castellani, A. Dubrovina, L. J. Guibas, R. P. Horaud, R. Kimmel, D. Knossow, E. von Lavante, D. Mateus, M. Ovsjanikov, and A. Sharma
Proc. EUROGRAPHICS Workshop on 3D Object Retrieval (3DOR), 2010
[ pdf | bibtex ]
Workshop
Non-rigid shape correspodence by matching spectral features and global geodesic structures
Anastasia Dubrovina
MSc dissertation, Technion, 2010
[ pdf | bibtex ]
MSc thesis
Patents
- A. Dubrovina, R. Hershkovitz, R. Kimmel. "Image editing using level set trees." U.S. Patent No. 9,471,991. 18 Oct. 2016..
- R. Kimmel, Y. Aflalo, and A. Dubrovina. "Method and system for shapewise comparison." U.S. Patent Application No. 14/508,051.
- D. Freedman, P. Kisilev, A. Dubrovina, S. Schein and R. Bergman. "Graphical object classification." U.S. Patent No. 9,213,463. 15 Dec. 2015.
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Teaching
Computer Science Department, Stanford University
- CS468: Machine Learning for 3D Data Instructor, Spring 2017.
Computer Science Department, Technion
- 234114 - Introduction to Computer Science Lecturer, 2013 - 2016.
- 234114 - Introduction to Computer Science Teaching assistant in charge, 2012 - 2013. Awarded the Technion Excellent TA award (2013).
- 234114 - Introduction to Computer Science Teaching assistant, 2009 - 2012.
- 236861 - Geometric Computer Vision Teaching assistant, 2009 - 2012.
- Geometric Image Processing lab Project supervisor, 2009 - 2016. Two projects received Amdocs Best Project Award: the CutOut project (2015) and the Generating Marionettes from 2D Images project (2016). The CutOut project also received 1st prize at the CS-TCE Intel Challenge.
- In 2013 - 2015, I coordinated the Pixel Club seminar - a joint colloquium of the Technion's CS and EE departments, dedicated to topics in computer vision, image processing and computer graphics.
Electrical Engineering Department, Technion
- 046332 - Visual and Auditory Systems Teaching assistant, 2009
Contact
Address: 318 Campus Dr., Stanford, CA 94305
Email: anastasiad AT cs.stanford.edu
Blog
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Check out my and my husband's Hiking Postdocs blog. There, you can read about some of our weekend adventures in the Bay Area and beyond. Enjoy!