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<!DOCTYPE html>
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<title>Evan Levine</title>
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<h2>Evan Levine</h2>
<hr>
<table id="Contact">
<tbody><tr>
<td>
<h3>Contact</h3>
<a href="https://www.linkedin.com/in/evan-levine-519b8213/">LinkedIn</a><br>
<a href="https://scholar.google.com/citations?user=VzV0snQAAAAJ&hl=en&oi=ao">Google Scholar</a><br>
evanlevine [at] alumni dot stanford [dot] edu<br>
</td>
<td>
<img src="elevine.jpg" alt="[elevine.jpg]" title="" style="float:left;padding-left:20px" height="150" width="125">
</td>
</tr>
</tbody></table>
<hr>
<h3>About Me</h3>
<p>
I am now at Microsoft</a>.
</p>
<hr>
<h3>Education</h3>
<ul style="list-style-type:none;padding-left:0">
<li>2017, PhD, Electrical Engineering, Stanford University</li>
<p>
<li>Advisor: <a href="https://med.stanford.edu/profiles/brian-hargreaves">Brian Hargreaves</a></li>
<li><a href="https://med.stanford.edu/bmrgroup.html">Body MRI Group</a></li>
<li><a href="https://med.stanford.edu/rsl.html">Radiological Sciences Lab</a></li>
<li><a href="https://www.stanford.edu">Stanford University</a></li>
</p>
<li>2014, MS, Electrical Engineering, Stanford University.</li>
<li>2011, BS, Electrical and Computer Engineering, Cornell University.</li>
</ul>
<hr>
<h3>Documents</h3>
<p><a href="marginalization.pdf">A Practical Guide to Marginalization for Nonlinear
Least Squares on Differentiable Manifolds (New)</a></p>
<div class="b">
This report is a practical guide to marginalization for simultaneous localization and mapping (SLAM) and generic sensor fusion. In the Ceres-based implementation, users can marginalize out variables in a natural way and experiment with algorithmic choices. Users only have to implement boxplus/boxminus operators and Jacobians for each primitive manifold and marginalize in one function call. Square root marginalization and various options for pseudoinverse computation are supported. <a href=https://github.com/evanlev/ceres-solver>Code available here (needs cleanup/in progress).</a> </div>
<p>Usage example: </p>
<img src="marg_code_example.jpg" title="" height="150" width="300"><br>
<hr>
<h3>Research</h3>
<p> Interests: </p>
<p>
<li> Computer vision</li>
<li> Computational imaging, inverse problems, statistical signal processing.</li>
<li> Magnetic resonance imaging: sampling methods, image reconstruction, sparse and low rank models.</li>
</p>
<p>
Selected Journal Publications:
</p>
<ul style="list-style-type:none">
<li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E. Levine</b>, K Stevens, C BeB, and B Hargreaves. Accelerated 3D Multispectral MRI with Robust Principal Component Analysis for Separation of On and Off-resonance Signals <i>Magnetic Resonance in Medicine</i>, 2017
(<a href="https://onlinelibrary.wiley.com/doi/10.1002/mrm.26819/full">Article</a>)
</li>
<img src="rpca.jpg" title="" height="365" width="800"><br>
<li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E. Levine</b> and B Hargreaves. On-the-fly Adaptive k-Space Sampling for Linear MRI Reconstruction Using Moment-Based Spectral Analysis <i>IEEE Transactions on Medical Imaging</i>, 2017
(<a href="https://github.com/evanlev/dda-sampling">GitHub</a>)
(<a href="http://ieeexplore.ieee.org/document/8081834">IEEExplore</a>)
(<a href="https://arxiv.org/abs/1710.07837">arXiv</a>)
</li>
<img src="samp.jpg" title="" height="325" width="800"><br>
<li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E. Levine</b>, B. Hargreaves, B Daniel, S Vasanawala, and M Saranathan. 3D Cartesian MRI with Compressed Sensing and Variable View Sharing Using Complementary Poisson-disc Sampling <i>Magnetic Resonance in Medicine</i>, 2016
(<a href="https://github.com/evanlev/cpd">GitHub</a>)
(<a href="https://onlinelibrary.wiley.com/doi/10.1002/mrm.26254/abstract">Article</a>)
</li>
<img src="cpd.jpg" title="" height="200" width="800"><br>
</ul>
<p>
Selected Conference Publications:
</p>
<ul style="list-style-type:none">
<li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E Levine</b> and B Hargreaves. Differential Domain Analysis for 3D Cartesian Sampling. <i>Accepted for oral presentation,</i> <b>Summa cum laude award</b> <i>Proceedings of ISMRM, Honolulu, Hawaii</i>, April 2017
<li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E Levine</b>, K Stevens, and B Hargreaves. Accelerated 3D Multispectral MRI with Robust Principal Component Analysis for Separation of On and Off-resonance Signals. <i>Accepted for oral presentation,</i> <b>Magna cum laude award</b> <i>Proceedings of ISMRM, Honolulu, Hawaii</i>, April 2017
<li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E Levine</b>, M Nezamabadi, and M Martinello. High-precision Multi-view Camera Calibration Using a Rotating Stage <i>IEEE International Conference on Image Processing (ICIP)</i>, September 2016
<li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E Levine</b>, S Vasanawala, B Hargreaves, and M Saranathan. Motion Robust Abomdinal Imaging with Complementary Poisson-disc Sampling and Retrospectively Reduced View-sharing <i>Proceedings of ISMRM, Toronto, Canada</i>, May 2015.
</li><li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E Levine</b>, B Daniel, B Hargreaves, and M Saranthan. Validation of Reduced View-sharing Compressed Sensing Reconstruction for DCE-MRI wtih Variable Fip Angle Acquisition <i>Proceedings of ISMRM, Toronto, Canada</i>, May 2015.
</li><li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E Levine</b> and B Hargreaves. An Image Domain Low Rank Model for Calibrationless Reconstruction of Images with Slowly Varying Phase <i>Proceedings of ISMRM, Toronto, Canada</i>, May 2015.
</li><li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E Levine</b>, M Saranathan, and B Hargreaves. Complementary Poisson-disc Sampling <i>Proceedings of ISMRM, Milan, Italy</i>, May 2014.
</li><li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E Levine</b>, K Sung, M Saranathan, and B Hargreaves. AMP-SENSE: Parallel Imaging Compressed Sensing with Approximate Message Passing <i>Proceedings of ISMRM, Salt Lake City, Utah</i>, May 2013.
<li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
S Hemami, F Ciaramello, S Chen, N Drenkow, D Lee, S Lee, <b>E Levine</b>, and McCann A, Comparing User Experiences in 2D and 3D Videoconferencing. <i>IEEE International Conference on Image Processing (ICIP)</i>, 2012
</li></ul>
<p>
Oral Presentations:
</p>
<ul style="list-style-type:none">
<li style="margin-bottom:0.75em;padding-left:1em;text-indent:-2em">
<b>E Levine</b>, K Sung, M Saranathan, and B Hargreaves. Fast Iterative Thresholding Methods for Combined Comrpessed Sensing Parallel Imaging <i>2013 ISMRM Data Sampling and Reconstruction Workshop</i>, Sedona, AZ.
</li></ul>
<hr>
<h3>Work Experience</h3>
<p>
I am now at Microsoft working on computer vision for mixed reality. Previously, I was at <a href="https://www.magicleap.com">Magic Leap</a>.
</p>
<p>
I have interned in the <a href="https://www.usa.canon.com/internet/portal/us/home/about/research-development/imaging-system-research/">Computational Imaging group</a> at the Canon USA Imaging System Research Division in San Jose, CA.
</p>
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Last modified: 2/5/2023
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