Marcus A. Brubaker
mbrubake [at] cs [dot] toronto [dot] edu
Postdoctoral Researcher with Raquel Urtasun
Toyota Technological Institute at Chicago
My most recent project, "Lost! Leveraging the Crowd for Probabilistic Visual Self-Localization" with Andreas Geiger and Raquel Urtasun, has been accepted for an oral presentation at CVPR 2013. See the project website for the video and paper; code will be made available shortly.
My paper with Jianhua Zhao and John L. Rubinstein is now available: TMaCS: A hybrid template matching and classification system for partially-automated particle selection. Source can be found here.
A paper with Jianhua Zhao and John L. Rubinstein, "TMaCS: A hybrid template matching and classification system for partially-automated particle selection" has been accepted for publication in the Journal of Structural Biology. It's not available yet, but look for it soon.
This fall I will be teaching CSCD11: Machine Learning and Data Mining at the University of Toronto, Scarborough.
Better late than never, some of the video sequences used in my papers are now available from here. Videos of results from a number of my papers have also been uploaded to YouTube.
I've begun organizing a Computer Vision Reading Group at U of T. The first meeting will be May 15th.
Our paper (with Mathieu Salzmann and Raquel Urtasun) "A Family of MCMC Methods on Implicitly Defined Manifolds" will be presented at AISTATS 2012. Matlab code is available here.
I have finished my PhD thesis "Physical Models of Human Motion for Estimation and Scene Analysis" and have started a postdoc with Raquel Urtasun (Toyota Technological Institute at Chicago) and David Fleet (University of Toronto). I am now also consulting as Research Associate with Cadre Research Labs.
Our paper "A Bayesian Method for 3-D Macromolecular Structure Inference using Class Average Images from Single Particle Electron Microscopy" has been accepted into the journal Bioinformatics. A preprint of the paper is available here and the project website can be found here.
Citation information has been updated for the IJCV article to include the volume, issue and starting page numbers.
Three new papers have been made available: "Estimating Contact Dynamics" (ICCV 2009), "Physics-based Person Tracking Using the Anthropomorphic Walker" (IJCV 2010), and "Video-based People Tracking" (In Handbook of Ambient Intelligence and Smart Environments).
Leonid Sigal, David Fleet and I will be running a tutorial for ICCV 2009: "Physics-Based Human Motion Modelling for People Tracking".
I am currently a Postdoctoral Researcher with Raquel Urtasun (Toyota Technological Institute at Chicago). I also work as a Research Associate with Cadre Research Labs. I finished my Ph.D. in September of 2011 supervised by David Fleet at the University of Toronto in the Computer Vision group. I received my M.Sc. and Honors B.Sc. from the University of Toronto in November 2006 and June 2004 respectively. Though American by birth I am living in Canada by choice, by wife and, more or less, by politics.
Feel free to contact me at the email address above.
|My research has looked at
the use of physics for tracking human motion.
We began by exploring abstract
models of bipedal walking in the context of
monocular tracking with particle filters. More
recently we have looked at the dynamics of complex
articulated models of the human body in motion estimation
and dynamic scene analysis.
I have also investigated the use of Bayesian methods in Electron Cryo-Microscopy with Ryan Lilien, Navdeep Jaitly and John Rubinstein.
Generally, I have a strong interest in machine learning and probabilistic methods, particularly when applied to computer vision related problems.
Hobbies and Other Interests