E-mail:
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.
D. Aizik, A. Levin. Non-invasive and noise-robust light focusing using confocal wavefront shaping.
C. Bar, I. Gkioulekas, A. Levin. Efficient Monte Carlo simulation of spatio-temporal speckles and their correlations.
M. Alterman, E. Saiko, A. Levin Direct acquisition of volumetric scattering phase function using
speckle correlations.
Research Interests:
Publications:
Nature Communications, 2024.
Paper link
Best student paper finalist at Optica imaging congress.
Optica 2023
PDF  
Supplementary
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.
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
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