CV: CS 4476-A

TuTh 5:00-6:15pm, 1443 Klaus / Bluejeans (available in Canvas)


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
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
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