IFT 6765 - Links between Computer Vision and Language
Guidelines for project presentations
(Guidelines credits: Vision and Language course taught by Devi Parikh at Georgia Tech)
Slides should be made as visual (with videos, images, animations) and clear as possible. Students should practice their talks ahead of time to make sure they are of appropriate length -- not shorter by more than a few minutes, and certainly not longer. The talks should be well organized and polished. Take a look at some example presentations: Example1, Example2.
Initial presentation: Each team will present for about 15 mins followed by 10 mins of discussion. In the first presentation, teams will present a project proposal organized as follows:
Problem statement: Clearly state the goal of your project.
Related work: Briefly describe existing related work (with citations) and what your project brings to the table that these other works do not. The most relevant papers may not necessarily be papers listed on the schedule, so be sure to also look beyond the list.
Approach: Describe the technical approach you plan to employ. Clearly state the assumptions of your approach.
Experiments and results: Describe the experimental setup you will follow, which datasets you will use, which existing code you will exploit, what you will implement yourself, and what you would define as a success for the project. If you plan on collecting your own data, describe what data collection protocol you will follow. Specify if you plan on experimentally analyzing different characteristics of your approach, or if you will compare to existing techniques. Provide a list of experiments you will perform. Describe what you expect the experiments to reveal, or what is uncertain about the potential outcomes. If you have any preliminary results, please summarize those as well.
Timeline: Present a timeline of the planned tasks/goals.
Progress update presentation: In this presentation, teams will update the class on their progress. Teams will remind the class what the project is (problem statement), motivation behind approach, and provide quick recap of approach and experiments. The teams will then describe the results, the updated project timeline and any challenges or issues that they face. Presentations will be 15 mins long and will be followed by 10 mins of discussion.
Final presentation: Each team will explain their project in a 15 mins presentation with an organization similar to the initial presentation. In addition, also describe any challenges you faced, any insights on future extensions of the project. 10 mins of QA will follow each presentation.
Project video: Teams will prepare a 1 min. YouTube video summarizing the project. The video is a teaser to convey the main points, and gain the viewer's interest in wanting to know more. It should be understandable by anyone familiar wtih AI.Â
See: Example 1, Example 2 , Example 3 , Example 4 , Example 5 , Example 6 , Example 7 , Example 8 , Example 9 .