Overview

The goal of this project is for you to develop your skills in conducting and communicating original research. You will design and investigate a new idea involving computer vision. It will be a self-designed project in consultation with the instructor. The only requirement is it includes a component with computer vision analysis. This is an opportunity for you to enhance your expertise on a topic you feel passionate about.

Your final project will constitute 40% of your total class grade. Your project grade will be calculated as follows:

Assignment Percentage of Final Project Grade
Project proposal 10%
Project outline 20%
Final project presentation 20%
Peer evaluation 10%
Final project report 40%

Project Proposal

The project proposal should:

  1. Establish the research problem and new idea you will tackle for your final project
  2. Identify relevant related work

When choosing your topic, general guidelines are to:

Relevant topics include (but are not limited to):

You will need to submit a PDF that is 1-2 pages long (excluding references). Please use the latex template from a mainstream conference or journal, such as ECCV. A great latex paper editor is Overleaf. The paper should include each of the following:

Please note that your proposed project is not a binding contract. You will continue to update and improve it as you learn more from your readings and/or feedback.

Project Outline

The project outline should map out the entire project. You will be expected to:

  1. Submit a detailed project outline that is 3-4 pages long (excluding references).

The paper should include each of the following:

Final Project Presentation

The final project presentation should be submitted as a zip file which include two parts:

  1. Text document indicating a URL to a 4 minute recorded video
  2. PDF document of a poster
Both deliverables should convey the following:

Please design your video for an audience who has not taken the class (i.e., lay audience). In other words, your mom, dad, friend, or a potential employer should be able to watch it and understand what you did and why what you did is valuable. You must submit a URL (either public or unlisted) that links to your video in your Canvas submission. To support inclusion of your presentation in our online forum, provide video links to either YouTube or Vimeo. Please verify viewing permissions are set properly before submission or your grade will be penalized.

Your poster should provide a concise framework for you to communicate about your project to a lay audience. It can be as simple as a summary of the content presented in your video in one PDF. If you would like to work from a template, the following are suggested by popular conferences for computer vision material: CVPR, NeurIPS, and ECCV.

On the last day of class, we will gather in an online forum so that students can present their work and learn about other students' works. We will use the online platform, Gathertown, where every team's video and poster will be posted. During this class session, students will be allowed to both stay in their designated spaces to present their poster/videos while answering any questions as well as to visit other students' designated locations to learn about their work by reviewing their posters and/or videos.

Peer Evaluation

You will evaluate the presentation from every person in the course at the link shared by the instructor. The evaluations will be done during the day of the last class meeting. The evaluations that you do for other students' projects will not affect your own grade, except that you will be penalized if you do not complete an evaluation (following the requirements) for every person (excluding your own).

Final Project Report

For the final project submission, you should submit a final report that is at least 7 pages long (excluding references). It should include each of the following:

  • Title
  • Abstract - one paragraph summary of your paper describing the motivation, problem, conducted experiments, and experimental findings
  • [Section 1] Introduction (improve upon the material from your project outline)
  • [Section 2] Related Work (improve upon the material from your project outline; if you have not already, you should remove the bulleted structure you used in the initial proposal and instead have a paragraph form)
  • [Section 3] Methods (improve upon the material from your project outline)
  • [Section 4] Experimental Design (improve upon the material from your project outline)
  • [Section 5] Experimental Results: this should include the raw results, what general trends are observed, and insights/speculations into why your results may be turning out the way they are. Also include at least one paragraph explaining what questions are not fully answered by your experiments and natural next steps for this direction of research.
  • [Section 6] Conclusions - summarize in one paragraph what is the main take-away point from your work. Add a final paragraph discussing any potential ethical implications of your project (e.g., fairness, accountability, transparency, privacy, social impact, etc).
  • [Section 7] Bibliography