Date | Lecture Topics (tentative schedule) | Materials (for references) |
Week 1 1/24 1/26 |
General Introuction
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Week 2 1/31 2/2 |
Filters and noises
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Week 3 2/7 2/9 |
Filters and noises
Image features
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Week 4 2/14 2/16 |
Model Fitting
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2/20 | Homework 1 due (11:59pm EST) | |
Week 5 2/21 2/23 |
Perspective Projection
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Week 6 2/28 3/2 |
Multiple View Geometry
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Week 7 3/7 3/9 |
Object Recognition
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3/14 | Homework 2 due (11:59pm EST) | |
Spring Break | ||
Week 8 3/21 3/23 |
Object Recognition
Midterm (3/23) |
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Week 9 3/28 3/30 |
Deep Learning
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Week 10 4/4 4/6 |
Deep Learning Practice
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4/10 | Homework 3 due (11:59pm EST) | |
Week 11 4/11 4/13 |
Deep Generative Models
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Week 12 4/18 4/20 |
Detection and segmentation
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4/24 | Homework 4 due (11:59pm EST) | |
Week 13 4/25 4/27 |
Motion and Tracking
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Week 14 5/2 5/4 |
Advanced Topics
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5/9 | Homework 5 due (11:59pm EST) | |
5/17 | Final Exam, Tuesday 5/17, 5:30pm-8:00pm EST, in-person at LTENGR 102 and NCS 120 |