based on efforts and clearness in presenting the ideas of the papers.
based on efforts, clearness, and how well you organize the papers that you read.
3 of 8
Presentation + survey
Presentation: 2-3 papers for 50 mins each time
Survey (must by Latex):Extend to 6-10 papers
At least 8 pages, excluding reference
Please include Introduction, an overview of the background, descriptions of some key algorithms and their concepts, and important experimental results and findings
Due day: 2 weeks after your presentation
4 of 8
Presentation + survey
Cover 2-3 papers (I will provide) and some background
The red papers are for everyone to read, not the main papers for you to present
Please discuss with me for what to present after you finish the red papers
I have provided some suggested papers for presentation on the spreadsheet
(Recommended) Please come to the office hour or schedule a meeting with me before/after presentation
Outline:
10-min introduction
30-min approaches
10-min experiments
5 of 8
Final project
Final project (1-3 people): 50%
10%: first presentation
25%: final presentation (results)
15%: report
6 of 8
Final project
Must be related to ML, CV, and AD
Comprehensive topic studies: A team selects a topic and performs a comprehensive survey of the techniques, datasets, and evaluation metrics. Then, the team is going to re-implement those techniques and re-evaluate on all the datasets with all the metrics. Students are encouraged to propose new techniques and experimental setups.
You can choose to do other team’s topics!
Competition & challenges: A team selects a competition & challenge held in top conferences and participates in it.
Self-picked research topic: A team selects a research topic. The expectation is to be ready to submit to a conference (e.g., NeurIPS 2022).
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Timeline
Form the team now or this week!
First presentation: 3/9
Final presentation: 4/20 and 4/28 (final exam time)
Final report: TBA, must be two days before the grade posting date
8 of 8
First presentation
3/2
Form project team + topic
3/9
Each team is going to present for 5 minutes about their project plan, which should include project topic and goal, machine learning and computer vision algorithms you want to apply, develop, or compare, the data sets/evaluation metrics you are going to use, the experiments/analysis you want to conduct, and your expected results.
3/11
1-2-page description (NeurIPS format) about the project plan. You can find the template link on the course website. You can extend this report to be your final report.
Please include project topic and goal, machine learning or computer vision algorithms you want to apply, develop, or compare, the data sets/evaluation metrics you are going to use, the experiments/analysis you want to conduct, and your expected results. Please also include what the challenging parts in your project are in the plan.