CV: CS 4476-ATuTh 5:00-6:15pm, 1443 Klaus / Bluejeans (available in Canvas) |
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 |
---|---|---|---|---|
Course Introduction | ||||
W1 | Tue, Jan 11 | Introduction [pdf] [pptx] | S 1.1-1.3 | |
W1 | Thu, Jan 13 | Light and Color [pdf] [pptx] | S 2.3.2 | PS1 Out |
W2 | Tue, Jan 18 | Cameras and Image Formation [pdf] [pptx] | S 2.2 | |
W2 | Thu, Jan 20 | Math Review [pdf] [pptx] | ||
Image Processing | ||||
W3 | Tue, Jan 25 | Linear Filters [pdf] [pptx] | S 3.1.1-2, 3.2, 3.3.1 | |
W3 | Thu, Jan 27 | Gradients, Edge Detection [pdf] [pptx] | S 3.2.3, S 3.3.2, 7.2 | PS1 Due |
W4 | Tue, Feb 1 | Local invariant features (part 1) [pdf] [pptx] | S 7.1 | |
W4 | Thu, Feb 3 | Local invariant features (part 2) [pdf] [pptx] | S 7.1 | |
Transformations and Fitting | ||||
W5 | Tue, Feb 8 | Alignment, 2D Transformations, RANSAC [pdf] [pptx] | S 2.1.1-2, 3.6, 8.1 | |
W5 | Thu, Feb 10 | Homography and image warping [pdf] [pptx] | S 8.1, 8.2.1 | |
W6 | Tue, Feb 15 | Bottom-up Segmentation and Clustering [pdf] [pptx] | S 7.5 | PS2 Due |
W6 | Thu, Feb 17 | Hough Transform [pdf] [pptx] | S 7.4.2 | |
3D vision | ||||
W7 | Tue, Feb 22 | Epipolar Geometry [pdf] [pptx] | S 12.1, 12.3 | |
W7 | Thu, Feb 24 | Stereo & Structure from Motion [pdf] [pptx] | S 12.1, 12.3, 11.2-11.3 | |
W8 | Tue, Mar 1 | Midterm: Intro + Image Processing + Transformations | ||
Recognition | ||||
W8 | Thu, Mar 3 | Indexing local features and instance recognition [pdf] [pptx] | S 14.3 | |
W9 | Tue, Mar 8 | Intro to category recognition [pdf] [pptx] | S 14.1 | |
W9 | Thu, Mar 10 | Discriminative classifiers (Linear models) [pdf] [pptx] | S 14.3 | PS3 Due |
W10 | Tue, Mar 15 | Part-based Models [pdf] [pptx] | S 14.3 | |
ConvNets | ||||
W10 | Thu, Mar 17 | Continuous Optimization [pdf] [pptx] | ||
W11 | Tue, Mar 22 | Spring Break | ||
W11 | Thu, Mar 24 | Spring Break | ||
W12 | Tue, Mar 29 | Neural Nets [pdf] [pptx] | CS 231 Neural Nets | |
W12 | Thu, Mar 31 | Backpropagation [pdf] [pptx] | CS 231 Backprop ex | PS4 Due |
W13 | Tue, Apr 5 | Convolutional Neural Networks I [pdf] [pptx] | CS 231 Convnets | |
W13 | Thu, Apr 7 | Convolutional Neural Networks II [pdf] [pptx] | CS 231 Convnets | |
Advanced Topics | ||||
W14 | Tue, Apr 12 | Deep Segmentation and Detection [pdf] [pptx] | ||
W14 | Thu, Apr 14 | Learning w/ Limited Supervision [pdf] | ||
W15 | Tue, Apr 19 | Bias / Fairness in Vision [pdf] | PS5 Due | |
Course Wrap-up | ||||
W15 | Thu, Apr 21 | Course Recap / Review day | ||
W16 | Tue, Apr 26 | No lecture - study | ||
Thu, Apr 28 | Final Exam: 6:00-7:15pm | 3D vision + Recognition + ConvNets |