Your project will typically involve addressing a novel problem or addressing an existing problem in a novel way. Your goal should be to advance a state-of-the-art technique, or introduce a new task in vision and language along with benchmarking basic approaches, and potentially proposing an interesting model for the new task. Refer to the schedule to find topics of interest. But feel free to be creative and come up with your own! If you need help with ideas for your project please talk to the TA, or the instructor. While certainly not a requirement for the class, students should actively consider submitting a paper at the end of the course to a top-tier conference in Computer Vision, Natural Language Processing, Machine learning, or AI.

Projects typically fall under one of these categories:

• Novel problem / task / application.

• Application/survey - compare a bunch of algorithms on an application domain of interest. These make most sense if you are expecting some interesting trend / finding in the analysis.

• Formulation/Development - formulate a new model or algorithm for a new/old problem.

• Analysis - analyze an existing algorithm.

Project teams should have 1-2 students (depending on enrolment).

You may combine this with another course project / your MSc or PhD research project but must delineate the different parts.