Robert Y. Wang
Computer Science and
Hi! I'm a research scientist at Oculus Research, working on computer vision and tracking related to virtual reality. Prior to that I had co-founded a small company, Nimble VR née 3Gear Systems that built skeletal hand-tracking software which was acquired by Oculus. Drop me a line if you're interested in computer vision for the future of VR.
I received my Ph.D. in EECS while working in CSAIL with Jovan Popović. My research interests are in computer graphics, computer vision and human computer interaction.
New! 6D Hands: Markerless Hand-Tracking for Computer Aided Design
6D Hands: Markerless Hand Tracking for Computer Aided Design
Practical Color-Based Motion Capture
Seafloor Image Compression with Large Tilesize Vector Quantization
Real-Time Hand-Tracking as a User Input Device
Real-Time Enveloping with Rotational Regression
Mesh Ensemble Motion Graphs: Data-driven Mesh Animation with Constraints
While in grad school, I also built a few websites using Ruby on Rails.
I wrote RentMonkey in my fourth year, while I was serving on the Graduate Student Council. At the time, there wasn't an efficient way to look for off-campus housing in Cambridge / Boston suitable for MIT students.
RentMonkey was designed to track listings exclusively provided by MIT students, for MIT students. The website authenticates each student visiting the site. The listings on the site are suitable to MIT students because they typically have been occupied by the students who posted them. Furthermore, students can indicate the rent they paid at a residence historically, so that future tenants can negotiate with the landlord with confidence.
Since its launch in Spring 2008, RentMonkey has been used by 4,700 unique MIT students, who have posted over 500 listings and information about 1,600 residences. RentMonkey has become a clearing house for rental listings in the MIT community. (December 2009)
In Spring 2009, I worked with Feng Zhang to create a high quality expression cloning tool for molecular biology. We optimized our site for both private collaboration and publishing. Because EveryVector is completely on the web, users do not need to install or upgrade software, or worry about data backups. This model helps biologists focus on biology rather than IT.
We launched EveryVector in September 2009. Today, over 400 users have created more than 6,000 vectors on our site. The site is gaining users steadily, and we hope that EveryVector will become a platform for molecular biology analysis. (December 2009)
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