CV: CS 4476-AMW 2:00-3:15pm, L4 Howey Physics Building |
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Schedule
Note: tentative schedule is subject to change.
S: Computer Vision: Algorithms and Applications, by Rick Szeliski. See Resources
| Week | Date | Lecture | Readings | Graded Assignments |
|---|---|---|---|---|
| Introduction and Filtering | ||||
| W1 | Mon, Jan 9 | Introduction [pdf] [pptx] | S 1.1-1.3 | |
| W1 | Wed, Jan 11 | Light and Color [pdf] [pptx] | S 2.3.2 | PS1 Out |
| W2 | Mon, Jan 16 | No Lecture: MLK Day | ||
| Filters and Features | ||||
| W2 | Wed, Jan 18 | Linear Filters [pdf] [pptx] | S 3.2.3, S 3.3.2-4, 4.2 | |
| W3 | Mon, Jan 23 | Gradients, Edge Detection [pdf] [pptx] | S 4.1 | |
| W3 | Wed, Jan 25 | Local invariant features (part 1) [pdf] [pptx] | S 4.1 | PS1 Due |
| W4 | Mon, Jan 30 | Local invariant features (part 2) [pdf] [pptx] | S 2.1.1-2, 6.1.1, 6.1.4 | |
| Transformations and Fitting | ||||
| W4 | Wed, Feb 1 | Bottom-up Segmentation and Clustering [pdf] [pptx] | S 5.2-5.4 | |
| W5 | Mon, Feb 6 | Hough Transform [pdf] [pptx] | S 7.4.2, 2.1 | |
| W5 | Wed, Feb 8 | Alignment, 2D Transformations, RANSAC [pdf] [pptx] | S 4.3.2 | |
| W6 | Mon, Feb 13 | Homography and image warping [pdf] [pptx] | S 3.6.1 | PS2 Due |
| Geometry and Calibration | ||||
| W6 | Wed, Feb 15 | Cameras and Image Formation [pdf] [pptx] | S 3.1.1-2, 3.2 | |
| W7 | Mon, Feb 20 | Intro Stereo and Calibration [pdf] [pptx] | S 7.2, 11.1.1, 11.2-11.5 | |
| W7 | Wed, Feb 22 | Epipolar Geometry [pdf] [pptx] | S 7.2, 11.1.1, 11.2-11.5 | |
| W8 | Mon, Feb 27 | Stereo & Structure from Motion [pdf] [pptx] | S 7.2, 11.1.1, 11.2-11.5 | |
| Recognition | ||||
| W8 | Wed, Mar 1 | Indexing local features and instance recognition [pdf] [pptx] | S 14.3 | PS3 Due |
| W9 | Mon, Mar 6 | Intro to category recognition [pdf] [pptx] | S 14.1 | |
| W9 | Wed, Mar 8 | Exam 1: Filtering/Features + Transformations/Fitting + Geometry | ||
| W10 | Mon, Mar 13 | Discriminative classifiers (Linear models) [pdf] [pptx] | S 14.3 | |
| Deep Learning Fundamentals | ||||
| W10 | Wed, Mar 15 | Continuous Optimization [pdf] [pptx] | ||
| W11 | Mon, Mar 20 | Spring Break | ||
| W11 | Wed, Mar 22 | Spring Break | ||
| W12 | Mon, Mar 27 | Neural Networks [pdf] [pptx] | ||
| W12 | Wed, Mar 29 | Backpropagation [pdf] [pptx] | CS 231 Backprop ex | PS4 Due |
| Deep Learning for Vision | ||||
| W13 | Mon, Apr 3 | Convolutional Neural Networks I [pdf] [pptx] | CS 231 Convnets | |
| W13 | Wed, Apr 5 | Convolutional Neural Networks II [pdf] [pptx] | CS 231 Convnets | |
| W14 | Mon, Apr 10 | Segmentation and Detection [pdf] [pptx] | ||
| Advanced Topics | ||||
| W14 | Wed, Apr 12 | Review Session [pdf] | ||
| W15 | Mon, Apr 17 | Exam 2: Recognition + Deep Learning | ||
| W15 | Wed, Apr 19 | Learning w/ Limited Supervision [pdf] | ||
| W16 | Mon, Apr 24 | Course Recap, Bias in CV [pdf] | PS5 Due | |
| Fri, Apr 28 | Final Exam Slot: 2:40pm-5:30pm -- Unused |