Schedule
This schedule is tentative and may change. Changes will be announced on Ed Discussion.
All deadlines are 11:59pm Pacific. Submissions are on Canvas and Gradescope; see the late policy.
Readings: S is Computer Vision: Algorithms and Applications, 2nd ed., by Richard Szeliski. FCV is Foundations of Computer Vision, by Torralba, Isola, and Freeman. Both are free online; see Resources.
Lecture slides will be made available prior to each session (requires UCI Login)
| Date | Topic | Readings | Due |
|---|---|---|---|
| Week 1 | |||
| Mon, Sep 28 | Introduction | S 1.1-1.3; FCV 1-3 | |
| Wed, Sep 30 | Linear Filters | Image Formation slides; S 2.2-2.3; FCV 5, 8 S 3.2-3.3; FCV 15, 17 |
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| Week 2 | |||
| Mon, Oct 5 | Gradients and Edges | S 7.2; FCV 18 | |
| Wed, Oct 7 |
Lab
Project Lab 1: What is out there?
TA-led in class |
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| Week 3 | |||
| Mon, Oct 12 |
Lab
Project Lab 2: Team formation
TA-led in class |
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| Wed, Oct 14 | Local Invariant Features and Matching | S 7.1 |
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| Week 4 | |||
| Mon, Oct 19 | Introduction to Learning | FCV 9 | |
| Wed, Oct 21 | Gradient-Based Learning | FCV 10 |
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| Week 5 | |||
| Mon, Oct 26 | Neural Networks and Backpropagation | S 5.3; FCV 12, 14; CS231n backprop notes | |
| Wed, Oct 28 | Convolutional Neural Networks | S 5.4; FCV 24; CS231n ConvNet notes |
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| Week 6 | |||
| Mon, Nov 2 | Training Deep Networks, Fine-Tuning | FCV 11, 35, 36, 37 | |
| Wed, Nov 4 | Exam Midterm Exam (in class, on paper) | ||
| Week 7 | |||
| Mon, Nov 9 | Segmentation and Detection | S 6.3-6.4; FCV 50 | |
| Wed, Nov 11 | No class Veterans Day |
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| Week 8 | |||
| Mon, Nov 16 | Vision Transformers | S 5.5.3; FCV 26 |
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| Wed, Nov 18 | CLIP and Vision-Language Models + project check-in discussion | S 6.6; FCV 51 | |
| Week 9 | |||
| Mon, Nov 23 | Generative Models | S 5.5.4; FCV 32-34 | |
| Wed, Nov 25 |
Optional
Optional virtual office hours: project discussion
Thanksgiving week. |
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| Week 10 | |||
| Mon, Nov 30 | Project Presentations | ||
| Wed, Dec 2 | Project Presentations | ||
| Finals Week | |||
| Mon, Dec 7 | No final exam |
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