Mike Roberts
PhD Student
NSERC Alexander Graham Bell Canada Graduate Scholar
Computer Graphics Laboratory
Stanford University


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Curriculum Vitae


Biography

I am a fourth-year PhD student in the Computer Graphics Laboratory at Stanford University, where I am advised by Pat Hanrahan. I am supported by an NSERC Alexander Graham Bell Canada Graduate Scholarship.

Before coming to Stanford, I was a research fellow in the Visual Computing Group at Harvard University, where I was advised by Hanspeter Pfister. I collaborated with Jeff Lichtman at the Harvard Center for Brain Science to develop new image analysis methods for nanometer-scale images of brain tissue. Our work was published on the cover of Cell in 2015, and has been featured in BBC Horizon, The Guardian, Huffington Post, National Geographic, Nature News, and Popular Science.

During the summer of 2012, I worked with John Owens and David Luebke to develop the Introduction to Parallel Programming course at Udacity. 75,000 students from around the world have enrolled in the course. I also worked at NVIDIA during the summer of 2009, where I helped to develop NVIDIA Nsight. In 2005-2006, I worked at Radical Entertainment as a graphics programmer on Prototype and as a user-interface programmer on Scarface: The World is Yours, each of which has sold more than 2,000,000 copies.

I completed my BS (Honors) Computer Science and MS Computer Science degrees at the University of Calgary, where I developed algorithms for interactive image analysis.


News

July 30th, 2015 Our paper Saturated Reconstruction of a Volume of Neocortex was published on the cover of Cell, and has been featured in BBC Horizon, The Guardian, Huffington Post, National Geographic, Nature News, and Popular Science.
February 6th, 2015 Our paper Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images was accepted for publication in Medical Image Analysis.
July 11th, 2014 Our paper Design and Evaluation of Interactive Proofreading Tools for Connectomics was accepted for publication in IEEE Transaction on Visualization and Computer Graphics (SciVis 2014).
September 5th, 2013 The slides and IPython notebooks from my talk IPython is Great (for large-scale computation, data exploration, and creating reproducible research artifacts) were featured in the 2013 Data Science course at Harvard University.
May 2nd, 2013 I will be spending this summer visiting the Visual Computing Group at Harvard University, where I will be advised by Hanspeter Pfister.
February 4th, 2013 The free online Introduction to Parallel Programming course I developed with John Owens and David Luebke launched today at Udacity. 75,000 students from around the world have enrolled in the course.

Selected Publications

A complete list of my publications can be found on Google Scholar.

Saturated Reconstruction of a Volume of Neocortex
Narayanan Kasthuri, Kenneth Jeffrey Hayworth, Daniel Raimund Berger, Richard Lee Schalek,
Jose Angel Conchello, Seymour Knowles-Barley, Dongil Lee, Amelio Vazquez-Reina, Verena Kaynig,
Thouis Raymond Jones, Mike Roberts, Josh Lyskowski Morgan, Juan Carlos Tapia,
H. Sebastian Seung, William Gray Roncal, Joshua Tzvi Vogelstein, Randal Burns,
Daniel Lewis Sussman, Carey Eldin Priebe, Hanspeter Pfister, Jeff William Lichtman
Cell 162(3), 2015

Large-Scale Automatic Reconstruction of Neuronal Processes from Electron Microscopy Images
Verena Kaynig, Amelio Vazquez-Reina, Seymour Knowles-Barley, Mike Roberts, Thouis R. Jones,
Narayanan Kasthuri, Eric Miller, Jeff Lichtman, Hanspeter Pfister
Medical Image Analysis 22(1), 2015

Design and Evaluation of Interactive Proofreading Tools for Connectomics
Daniel Haehn, Seymour Knowles-Barley, Mike Roberts, Johanna Beyer, Narayanan Kasthuri,
Jeff W. Lichtman, Hanspeter Pfister
IEEE Transactions on Visualization and Computer Graphics 20(12) (SciVis 2014)

Neural Process Reconstruction from Sparse User Scribbles
Mike Roberts, Won-Ki Jeong, Amelio Vazquez-Reina, Markus Unger, Horst Bischof, Jeff Lichtman,
Hanspeter Pfister
Medical Image Computing and Computer Assisted Intervention (MICCAI) 2011

A Work-Efficient GPU Algorithm for Level Set Segmentation
Mike Roberts, Jeff Packer, Mario Costa Sousa, Joseph Ross Mitchell
High Performance Graphics 2010


Code and Data

IPython notebooks and other resources from my talk IPython is Great (for large-scale computation, data exploration, and creating reproducible research artifacts). The slides and IPython notebooks from my talk were featured in the 2013 Data Science course at Harvard.

G3DWidget is a Qt widget written in C++ that can host 3D rendering code from the G3D Innovation Engine. The G3DWidget class has been carefully designed so that multiple G3DWidget objects can coexist in the same application. Demo application included.

Easy-to-read C++/Python implementation of the shape matching pipeline in the paper Sketch-Based Shape Retrieval.

Easy-to-read Python/CUDA implementations of fundamental GPU computing primitives: map, reduce, prefix sum (scan), split, radix sort, and histogram. I use these primitives to construct easy-to-read implementations of the following image processing operations: Gaussian blurring, bilateral filtering, histogram equalization, red-eye removal, and seamless image cloning.

Easy-to-read Python implementation of the seamless image cloning method in the paper Poisson Image Editing. To solve the sparse least-squares problem arising in this method, I provide an implementation that uses the default scipy.sparse solver, as well as an implementation that uses a hand-written geometric Jacobi solver.

C++ code to export the video segmentations from the system described in the paper Efficient Hierarchical Graph-Based Video Segmentation. The system described in this paper returns segmentations as Protocol Buffer files. This exporter converts these Protocol Buffer files into image sequences.


Personal

Before coming to Stanford, I used to DJ in front of hundreds of people every weekend. I was a resident at Dance Party Fridays at The Republik and MOJO Saturdays at The Bamboo Tiki Room in Calgary, Canada. The Republik and the Bamboo were voted the 2nd and 3rd best places to dance in the FFWD Best of Calgary 2010. More recently, I won a national DJing competition to perform at Glowchella 2013 in San Francisco.

I think of my sound as a funky chunky soul stomp bigbeat boogaloo mashup of timeless dance music, i.e., imagine what it would sound like if James Brown, Ray Charles, The Beatles, Fatboy Slim, and Daft Punk all took acid together and played a sweaty warehouse primetime party set at the Apollo Theater Harlem NYC circa 1969.