Anat Levin

Department of Electrical Engineering
Meyer 958
Technion
Haifa, 32000, Israel
Phone: +972-4-8295921

E-mail:

Vita



Research Interests:

My research interests are in the areas of Computer Vision, Computer Graphics and Optics. In particular I worked on computational photography, display technology, low and mid level vision. For more details about my work, please have a look at my publication list.



Publications:
 

C. Bar, I. Gkioulekas, A. Levin. Efficient Monte Carlo simulation of spatio-temporal speckles and their correlations.
to appear in Optica 2023
PDF   Supplementary

M. Alterman, E. Saiko, A. Levin Direct acquisition of volumetric scattering phase function using speckle correlations.
SIGGRAPH Asia, Dec 2022.
PDF   Video (4min)   Video (13min)   Slides

S. Monin, A. Sankaranarayanan, A. Levin. Analyzing phase masks for wide etendue holographic displays.
International Conference on Computational Photography (ICCP), May 2022.
PDF

S. Monin, A. Sankaranarayanan, A. Levin. Exponentially-wide etendue displays using a tilting cascade.
International Conference on Computational Photography (ICCP), May 2022.
PDF

W. Chen, M. O'Toole, A. Sankaranarayanan, A. Levin. Enhancing Speckle Statistics for Imaging Inside Scattering Media.
Optica 2022.
PDF   Supplementary

D. Aizik, I. Gkioulekas, A. Levin. Fluorescent wavefront shaping using incoherent iterative phase conjugation.
Optica 2022.
PDF   Supplementary   Video (16min)   Slides

Z. Wertheimer, C. Bar, A. Levin. Towards machine learning for heterogeneous inverse scattering in 3D microscopy.
Optics Express 2022.
Paper link

M. Alterman, C. Bar, I. Gkioulekas, A. Levin. Imaging with local speckle intensity correlations: theory and practice.
ACM Transactions on Graphics, to present in SIGGRAPH 2021.
PDF   Supplementary   Video (5min)   Video (20min)   Slides
  Code&Data

C. Bar, M. Alterman, I. Gkioulekas, A. Levin. Single scattering modeling of speckle correlation.
International Conference on Computational Photography (ICCP), May 2021.
PDF   Video (4min)   Slides

M. Alterman, C. Bar, I. Gkioulekas, A. Levin. Near-field imaging inside scattering layers.
OSA Computational Optical Sensing and Imaging, June 2021.
PDF

C. Bar, M. Alterman, I. Gkioulekas, A. Levin. A single scattering analysis of speckle correlation.
OSA Computational Optical Sensing and Imaging, June 2021.
PDF

W. Chen, A. Levin, M. O’Toole, A. Sankaranarayanan. Reference Wave Design for Wavefront Sensing.
International Conference on Computational Photography (ICCP), May 2021.
PDF 

C. Bar, I. Gkioulekas, A. Levin. Rendering Near-Field Speckle Statistics in Scattering Media.
SIGGRAPH Asia, ACM Transactions on Graphics, Dec 2020.
PDF   Supplementary   Slides   Video

J. Chang, A. Levin, V. Kumar, A. Sankaranarayanan. Towards Occlusion-Aware Multifocal Displays.
SIGGRAPH, ACM Transactions on Graphics, July 2020.
PDF

A. Kotwal, A. Levin, I. Gkioulekas. Interferometric Transmission Probing with Coded Mutual Intensity.
SIGGRAPH, ACM Transactions on Graphics, July 2020.
PDF Webpage

K. Shem-Tov, S. P. Bangaru, A. Levin, I. Gkioulekas. Towards Reflectometry from Interreflections.
ICCP, May 2020
PDF

C. Bar, M. Alterman, I. Gkioulekas, A. Levin. A Monte Carlo Framework for Rendering Speckle Statistics in Scattering Media.
SIGGRAPH, ACM Transactions on Graphics, July 2019.
PDF Code Recording

C. Bar, M. Alterman, I. Gkioulekas, A. Levin. Monte-Carlo Simulation of the Memory Effect in Random Media Beyond the Diffusion Limit.
SPIE/OSA European Conference on Biomedical Optics, June 2019.
PDF Code

C. Bar, M. Alterman, I. Gkioulekas, A. Levin. Exploiting Speckle Statistics in Random Media Beyond the Diffusion Limit.
OSA Computational Optical Sensing and Imaging, June 2019.
PDF Code

I. Gkioulekas, A. Levin, T. Zickler. An Evaluation of Computational Imaging Techniques for Heterogeneous Inverse Scattering.
European Conference on Computer Vision (ECCV), 2016.
Webpage

N. Efrat, P. Didyk, M. Foshey, W. Matusik, A. Levin. Cinema 3D: Large Scale Automultiscopic Display.
SIGGRAPH, ACM Transactions on Graphics, July 2016.
PDF

A. Levin, H. Maron, M. Yarom. Passive Light and Viewpoint Sensitive Display of 3D Content.
ICCP, May 2016
PDF Slides Results

V. Holodovski, Y. Schechner, A. Levin, A. Levis and A. Aides In-situ multi-view multi-scattering stochastic tomography.
ICCP, May 2016
PDF

I. Gkioulekas, A. Levin, F. Durand, T. Zickler. Micron-scale Light Path Decomposition Using Interferometry.
SIGGRAPH, ACM Transactions on Graphics, Aug 2015.
Webpage

T. Xue, M. Rubinstein, N. Wadhwa, A. Levin, F. Durand, W.T. Freeman. Refraction Wiggles for Measuring Fluid Depth and Velocity from Video.
ECCV, Sep 2014.
PDF  Webpage

D. Glasner, T. Zickler, A. Levin. A Reflectance Display.
SIGGRAPH, ACM Transactions on Graphics, Aug 2014.
PDF  Webpage

N. Efrat, D. Glasner, A. Apartsin, B. Nadler, A. Levin. Accurate Blur Models vs. Image Priors in Single Image Super-Resolution.
ICCV, Dec 2013.
PDF  Webpage

I. Gkioulekas, S. Zhao, K. Bala, T. Zickler, A. Levin. Inverse Volume Rendering with Material Dictionaries.
SIGGRAPH Asia, ACM Transactions on Graphics, Nov 2013.
PDF  Webpage

A. Levin, D. Glasner, Y. Xiong, F. Durand, W. Freeman, W. Matusik, T. Zickler. Fabricating BRDFs at High Spatial Resolution Using Wave Optics.
SIGGRAPH, ACM Transactions on Graphics, July 2013.
Webpage

A. Levin, B. Nadler, F. Durand, W. T. Freeman. Patch Complexity, Finite Pixel Correlations and Optimal Denoising.
European Conference on Computer Vision (ECCV), Oct 2012.
PDF  Extended version, MIT-CSAIL-TR-2012-022  Slides

S. Hasinoff, A. Levin, P. Goode and W. Freeman. Diffuse Reflectance Imaging with Astronomical Applications.
International Conference on Computer Vision (ICCV), Nov 2011.
PDF

A. Levin and B. Nadler. Natural Image Denoising: Optimality and Inherent Bounds.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2011.
PDF Data

A. Levin, Y. Weiss, F. Durand, W. T. Freeman. Efficient Marginal Likelihood Optimization in Blind Deconvolution.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2011.
PDF Extended TR Code

A. Levin. Analyzing Depth from Coded Aperture Sets.
Proc. of the European Conference on Computer Vision (ECCV), Sep 2010.
PDF

A. Levin and F. Durand. Linear View Synthesis Using a Dimensionality Gap Light Field Prior.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2010.
Webpage

T.S. Cho, A. Levin, F. Durand, W. T. Freeman. Motion blur removal with orthogonal parabolic exposures.
IEEE International Conf. on Computational Photography (ICCP), April 2010.
Webpage

A. Levin, S. Hasinoff, P. Green, F. Durand, W. T. Freeman. 4D Frequency Analysis of Computational Cameras for Depth of Field Extension.
SIGGRAPH, ACM Transactions on Graphics, Aug 2009.
Webpage

A. Levin, Y. Weiss, F. Durand, W. T. Freeman. Understanding and evaluating blind deconvolution algorithms.
Best paper award runner up.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2009.
PDF Extended TR Motion blur data Slides

A. Levin, A. Rav-Acha, D. Lischinski. Spectral Matting.
IEEE Trans. Pattern Analysis and Machine Intelligence, Oct 2008.
PDF

A. Levin, W. T. Freeman, F. Durand. Understanding camera trade-offs through a Bayesian analysis of light field projections.
Proc. of the European Conference on Computer Vision (ECCV), Marseille, France, Oct 2008.
Very squeezed conference version   Extended version, MIT-CSAIL-TR-2008-049   Code   Slides

A. Levin, P. Sand, T. S. Cho, F. Durand, W. T. Freeman. Motion-Invariant Photography.
SIGGRAPH, ACM Transactions on Graphics, Aug 2008.
PDF  Webpage

A. Levin, R. Fergus, F. Durand, W. T. Freeman. Image and Depth from a Conventional Camera with a Coded Aperture.
SIGGRAPH, ACM Transactions on Graphics, Aug 2007.
PDF  Webpage

A. Levin, A. Rav-Acha, D. Lischinski. Spectral Matting.
Best paper award runner up.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Minneapolis, June 2007
PDF  Extended TR (Also Appeared, PAMI 2008)  Slides  Webpage (Including ground truth matting evaluation data)

A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting.
IEEE Trans. Pattern Analysis and Machine Intelligence, Feb 2008
PDF

A. Levin and Y. Weiss. User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior.
IEEE Trans. Pattern Analysis and Machine Intelligence, Sep 2007
PDF

A. Levin. Blind Motion Deblurring Using Image Statistics.
Advances in Neural Information Processing Systems (NIPS), Dec 2006
PDF  Images

A. Levin D. Lischinski and Y. Weiss. A Closed Form Solution to Natural Image Matting.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2006, New York
PDF  Extended TR (Also Appeared, PAMI 2008)  Slides  Code&Images

A. Levin and Y. Weiss. Learning to Combine Bottom-Up and Top-Down Segmentation.
Longuet-Higgins best paper award.
Proc. of the European Conference on Computer Vision (ECCV), Graz, Austria, May 2006.
PDF (modified from the proceeding version)  Slides

A. Levin D. Lischinski and Y. Weiss Colorization using Optimization.
SIGGRAPH, ACM Transactions on Graphics, Aug 2004.
Results Page + Code  This page has been slashdotted!
PS  PDF  Slides

A. Levin and R. Szeliski Visual Odometry and Map Correlation.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2004, Washington DC
PS  PDF

A. Levin, A. Zomet and Y. Weiss Separating Reflections from a Single Image Using Local Features.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June 2004, Washington DC
PS  PDF

A. Levin and Y. Weiss. User Assisted Separation of Reflections from a Single Image Using a Sparsity Prior.
Proc. of the European Conference on Computer Vision (ECCV), Prague, May 2004.
Abstract  PS  PDF  Code&Images(Last modified: Sep 13, 2004)

A. Levin, A. Zomet, S. Peleg and Y. Weiss. Seamless Image Stitching in the Gradient Domain.
Proc. of the European Conference on Computer Vision (ECCV), Prague, May 2004.
Abstract   PDF

A. Levin, A. Zomet, S. Peleg and Y. Weiss. Seamless Image Stitching in the Gradient Domain.
Hebrew University Technical Report, 2003-82.
Abstract   PDF

A. Levin, A. Zomet and Y. Weiss. Learning How to Inpaint from Global Image Statistics.
International Conference on Computer Vision (ICCV), Oct 2003, Nice, France.
Abstract  PS  PDF

A. Levin, P. Viola and Y. Freund. Unsupervised Improvement of Visual Detectors using Co-Training.
International Conference on Computer Vision (ICCV), Oct 2003, Nice, France.
Abstract  PS  PDF

A. Levin, A. Zomet and Y. Weiss. Learning to Perceive Transparency from the Statistics of Natural Scenes.
Finalist for the Ben Wegbreit best student paper award.
Advances in Neural Information Processing Systems (NIPS) Dec 2002, Vancouver, Canada.
Abstract  PDF

A. Shashua and A. Levin. Ranking with Large Margin Principle: Two Approaches.
Advances in Neural Information Processing Systems (NIPS) Dec 2002, Vancouver, Canada.
Abstract  PS  PDF

A. Levin and A. Shashua Principal Component Analysis Over Continuous Subspaces and Intersection of Half-spaces.
Proc. of the European Conference on Computer Vision (ECCV), May 2002,Copenhagen, Denmark.
Abstract  PS  PDF

A. Levin and A. Shashua Revisiting Single-view Shape Tensors: Theory and Applications.
Proc. of the European Conference on Computer Vision (ECCV), May 2002,Copenhagen, Denmark.
Abstract  PS  PDF

A. Shashua A. Levin and S. Avidan Manifold Pursuit: A New Approach to Appearance Based Recognition.
Proc. of the Int. Conf. on Pattern Recog. (ICPR), Aug 2002, Quebec City, Canada.
Abstract  PS  PDF

A. Shashua, R. Meshulam, L. Wolf, A. Levin and G. Kalai. On Representation Theory in Computer Vision Problems. Technical Report 2002-44, Leibniz Center for Research, School of Computer Science and Eng., The Hebrew University of Jerusalem, July, 2002
Abstract  PDF

A. Shashua and A. Levin Linear Image Coding for Regression and Classification using the Tensor-rank Principle.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Dec 2001, Hawaii.
Abstract  PS  PDF

A. Levin L. Wolf and A. Shashua Time-varing Shape Tensors for Scenes with Multiply Moving Points.
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), Dec 2001, Hawaii.
Abstract  PS  PDF

A. Shashua and A. Levin Multi-frame Infinitesimal Motion Model for the Reconstruction of (Dynamic) Scenes with Multiple Linearly Moving Objects. International Conference on Computer Vision (ICCV), July 2001, Vancouver, Canada.
Abstract  PS  PDF