CV: CS 6476-ATuTh 3:30-4:45pm, Virtual (Zoom) |
Schedule
Note: tentative schedule is subject to change.
S: Computer Vision: Algorithms and Applications, by Rick Szeliski. See Resources
Slides will be posted before each lecture in this OneDrive folder.
Week | Date | Lecture | Readings | Graded Assignments |
---|---|---|---|---|
Course Introduction | ||||
W1 | Tue, Jan 9 | Introduction | S 1.1-1.3 | |
W1 | Thu, Jan 11 | Math Review | ||
W2 | Tue, Jan 16 | Light and Color | S 2.3.2 | PS0 Due |
W2 | Thu, Jan 18 | Cameras and Image Formation | S 3.1.1-2, 3.2 | |
Filters and Features | ||||
W3 | Tue, Jan 23 | Linear Filters | S 3.2.3, S 3.3.2-4, 4.2 | PS1 Due |
W3 | Thu, Jan 25 | Gradients, Edge Detection | S 4.1 | |
W4 | Tue, Jan 30 | Local invariant features (part 1) | S 4.1 | |
W4 | Thu, Feb 1 | Local invariant features (part 2) | S 2.1.1-2, 6.1.1, 6.1.4 | Sign up for project team |
Geometry and Calibration | ||||
W5 | Tue, Feb 6 | Alignment, 2D Transformations, RANSAC | S 4.3.2 | |
W5 | Thu, Feb 8 | Homography and image warping | S 3.6.1 | PS2 Due |
W6 | Tue, Feb 13 | Quiz 1 | ||
W6 | Thu, Feb 15 | Intro Stereo and Calibration | S 7.2, 11.1.1, 11.2-11.5 | |
W7 | Tue, Feb 20 | Epipolar Geometry | S 7.2, 11.1.1, 11.2-11.5 | |
W7 | Thu, Feb 22 | Stereo & Structure from Motion | S 7.2, 11.1.1, 11.2-11.5 | Project Proposal Due |
Deep Learning and Recognition | ||||
W8 | Tue, Feb 27 | Discriminative classifiers (Linear models) | S 14.3 | |
W8 | Thu, Feb 29 | Continuous Optimization | PS3 Due | |
W9 | Tue, Mar 5 | Neural Networks | ||
W9 | Thu, Mar 7 | Backpropagation | CS 231 Backprop ex | |
W10 | Tue, Mar 12 | Quiz 2 | ||
Vision Architectures and Models | ||||
W10 | Thu, Mar 14 | Convolutional Neural Networks I | CS 231 Convnets | |
W11 | Tue, Mar 19 | Spring Break | ||
W11 | Thu, Mar 21 | Spring Break | ||
W12 | Tue, Mar 26 | Convolutional Neural Networks II | CS 231 Convnets | New: Project Update Due |
W12 | Thu, Mar 28 | Segmentation & Detection | ||
W13 | Tue, Apr 2 | Vision Transformers | ||
Advanced Applications and Topics (tentative) | ||||
W13 | Thu, Apr 4 | Learning with Limited Supervision | PS4 Due | |
W14 | Tue, Apr 9 | Generative Models | ||
W14 | Thu, Apr 11 | Bias and Fairness in CV | ||
W15 | Tue, Apr 16 | Guest Lecture: Daniel Bolya, Efficient Vision Models | ||
W15 | Thu, Apr 18 | Guest Lecture Fiona Ryan: Gaze Detection | Final Project Due | |
W16 | Tue, Apr 23 | No Lecture | ||
Tu, Apr 30 | Final Exam Slot: 2:40pm-5:30pm -- Unused |