A Reading Group for Computer Vision, Machine Learning & Pattern Recognition at Arizona State University

[edit: Jan 20, 2016] This post was written a long ago, when I was interested in figuring out who was working on what within ASU. It turned out to be a lot harder than I expected to get something like this started, and I have since graduated from ASU. However, I hope this post will serve as an (incomplete) entry point into some of the vision research that’s being conducted at ASU. There have also been several newer faculty who have joined with exciting research areas!

With every passing day, I realize more – how important it is for me to document my opinions, findings and thoughts on several topics that I read. Not only does this help me learn faster, expose myself to a broader spectrum of papers and ideas but also helps me create this portfolio of my works. I realize this is something that’s important to every PhD aspirant. It is my understanding that doing a PhD is a lot like a beginner’s course in Entrepreneurship. You have to develop ideas, form opinions and sell them to your community. Of course, you don’t go out of business and have your start-up crashing down if your product doesn’t sell, but you have different pressures like establishing your ideas firmly.

Reading Group
With those side notes apart, I wish to begin a small reading group here at ASU. I have read about a similar group in CMU (http://www.cs.cmu.edu/~misc-read/) that is well established now. Inspired by this blog post, a similar group will do folks at ASU a lot of good.

Research Groups working on Computer Vision and/or Machine Learning at ASU:
Although ASU’s research in EE is strongly towards communication, networking etc. Few professors are changing the research landscape to add to computer vision research. The CS department, however, is known to have strong faculty working on Machine Learning, Pattern Recognition and some computer vision. I shall try to note all the groups here in order to make a comprehensive list of people who will be the ideal audience for the aforementioned seminar sessions.

Electrical, Computer & Energy Engineering:

    • Dr. Andreas Spanias’ group (Main contributors [1], [2]) –  Sparse representations, dictionary learning methods, high dimensional geometry etc.
    • Dr. Lina Karam’s group – Well established group, work mainly on Compression codecs, Visual quality assessment, Saliency in Images/Videos etc.
    • Dr. Pavan Turaga‘s group – Relatively new, main focus – topics on activity analysis, compressive sensing, dictionary learning, non linear geometries etc.

Next is the CS group, with many more faculty working on different aspects of these areas. I am less familiar with them and hence will just list them (in no particular order) for record’s sake.

Computing, Informatics and Decision Systems Engineering:

So assuming each of them have around 5 students and out of that at least 2 are interested in this reading session that gives us around ~15 students to start off this with. Which seems like a reasonable number. Hopefully, if the graduate student association of ASU (GPSA) recognizes this as a grad organization, they’ll even fund some part of it.

More updates as things progress.

— Rushil