Note for Prospective Students
Due to increasing volume of contact emails seeking a research position in my lab, I am not able to take and answer all your questions.
+ Research: My work is heavily driven by 3D geometry, machine learning, control, and planning. In particular, if you don't have any 3D geometry vision knowledge, I strongly encourage you to audit Coursera's Robotics: Perception (auditing without certification is free.).
+ Work load: Research progress is not linearly proportional to the amount of time you spend. Not even sublinear. It is a stochastic step function that likely increases suddenly after long hours of debugging. Therefore, in general, regular 9-5, 5 days a week does not apply at all (please find a note of Prof. Roberto Cipolla).
+ Undergraduates: Please contact me if you can allocate at least 12 hours per week for your research.
+ Masters and PhD: Research cannot be a sidejob for you. Please contact me if you can continually dedicate more than 80% of your time for research.
Undergraduate student in UMN Please take the Coursera course or Computer Vision course (5561). When contacting me, please add [UMN Undergraduate] in your subject line.
Master student in UMN Please take the Coursera course or Computer Vision course (5561). When contacting me, please add [UMN Master] in your subject line.
Prospective PhD I would appreciate if you do have computer vision knowledge (running a few caffe examples does not count). If you have other background beyond computer vision such as control, robotics, signal processing, and so on, please highlight it in your CV and contact email. When contacting me, please add [Prospective PhD] in your subject line.