Paper Presentation
In a group of 1 people
45 - 60 minutes presentation + 10 minutes discussion. Cover 3 - 4 papers.
Clear statement of the topic and specific problems. Why are they important?
Backgrounds or previous literature
Key contributions and technical ideas
Experimental setup and results
Strengths and weaknesses
Open research questions, future work, and potential applications
Slides are expected to be mostly visual (figures, animations, videos). Students are encouraged to search for relevant material, e.g., from the authors' webpage, project pages, etc. It's fine to use slides from the authors, but each slide that is not your own must be clearly cited.
Due dates: Meet with the instructor two days before your presentation with prepared slides to receive feedback. Email your final slides to instructor one day before your presentation.
Paper Review
At most one page in length, including the following contents:
A summary of the paper;
Main contributions;
Strengths and weaknesses;
Experiments;
Future work, open research questions;
(Optional) Unclear points;
(Optional) Potential applications.
Ethics: According to university policy, using materials generated by AI (e.g., ChatGPT) without attribution is considered plagiarism.
Assignment
For each assignment, you need to fill in all the missing lines of codes, and succesfully run codes to get satiesfying running results. Keep the running results in *.ipynb and submit it to canvas.
Deadline: See course schedule for deadline of each assignment. You will be allowed a total of five late days per course. Each additional late day will incur a 10% penalty.
Ethics: Please do assignments individually. You can search the Internet resources to help you write, debug, and run the codes.
Points: You will get 10/10 points if your submission shows good running results. Otherwise, you will get fewer points depending on your written codes and running results.
Final Project
In a group of 1 - 2 people (2 is preferred)
Submit a project proposal (1 page), a project paper (4 pages), and presentation slides (in pdf) to canvas.
Give a presentation of 10-15 minutes at the end of the semester. Submit your slides to canvas.
Topics can be either one of the following:
Proposing and addressing a new task/application;
Design and evaluation of a novel approach;
An extension of an approach studied in class;
In-depth analysis of an existing technique;
In-depth comparison of two related existing techniques.
Final project proposal (5 points): A one-page PDF that describes the following: (1) Problem statement: describe the problem; (2) Related work: briefly describe related papers. What will be unique about your project that previous work has not done? (3) Approach: describe the algorithm(s) you will employ; (4) Experiments: Describe the experiments to evaluate your approach. Describe any software, libraries, or language that you will use. (5) Others: Summarize any preliminary results.
Final project paper (15 points): A 4-page PDF that describes the following: (1) Introduction: summarize the problem, main idea, and results; (2) Related work: provide a detailed description of related papers. If you're proposing a new idea or extending an existing approach, what will be unique about your project that previous work has not done? If you're analyzing one or two related techniques, describe how they relate to other relevant work; (3) Approach: Describe in detail the algorithm(s) you employed. Clearly state the method's input and output, and any assumptions or design choices; (4) Experiments: describe the experiments you conducted to evaluate the approach. For each experiment, describe what you did, what was the main purpose of the experiment, and what you learned from the results. Provide figures, tables, and qualitative examples, as appropriate. (5) Conclusions: briefly summarize the main idea and results, discuss limitations and possible future work.
Template: CVPR2024 author kit
Final project presentation (10 points): A 10-15 minute presentation describing the contents as above.