CS 4501 Computer Vision (Spring 2026)

University of Virginia

Schedule

This schedule is tentative and may be adjusted as the semester progresses.

Lecture	Date	Topic	Slides	Background Reading / Deadlines
WEEK 1: Introduction
1	Tue 01/13/2026	Course Overview	Lecture (pdf)	Chapter 1, Szeliski's book.
2	Thu 01/15/2026	A Brief History of Computer Vision	Lecture (pdf)	Chapter 1, Szeliski's book.
WEEK 2: Image Formation
3	Tue 01/20/2026	Image Formation (Geometric)	Lecture (pdf)	Chapter 2, Szeliski's book.
4	Thu 01/22/2026	Image Formation (Light and color)	Lecture (pdf)	Chapter 2, Szeliski's book.
WEEK 3: Image Processing
5	Tue 01/27/2026	Image Filtering	Lecture (pdf)	Chapter 3, Szeliski's book., HW1 out
6	Thu 01/29/2026	Detectors and Descriptors I	Lecture	Chapter 7, Szeliski's book.
WEEK 4: Transformation and Alignment
7	Tue 02/03/2026	Detectors and Descriptors II	Lecture	Chapter 7, Szeliski's book.
8	Thu 02/05/2026	Detectors and Descriptors III	Lecture	Chapter 7, Szeliski's book, SIFT paper
WEEK 5: Machine Learning
9	Tue 02/10/2026	Model Fitting and Image Alignment	Lecture	Chapter 4, Szeliski's book. HW1 due and HW2 out
10	Thu 02/12/2026	Machine Learning Basics and Neural Networks	Lecture	Chapter 5, Szeliski's book.
WEEK 6: Deep Learning I
11	Tue 02/17/2026	Back Propogation	Lecture	Chapter 5, Szeliski's book.
12	Thu 02/19/2026	Pytorch Tutorial	Lecture	Project proposal due on Friday
WEEK 7: Deep Learning II
13	Tue 02/24/2026	Convolutional Neural Networks	Lecture	Chapter 5, Szeliski's book. HW2 due
14	Thu 02/26/2026	Sequential Modeling: RNN and LSTM	Lecture	Chapter 5, Szeliski's book. HW3 out
WEEK 8: No Class
-	Tue 03/03/2026	Spring Recess - No Class
-	Thu 03/05/2026	Spring Recess - No Class
WEEK 9: Recognition
15	Tue 03/10/2026	Introduction to Recognition && Object Detection	Lecture	Chapter 6, Szeliski's book.
16	Thu 03/12/2026	Vision Transformer (I)	Lecture	Chapter 6, Szeliski's book.
WEEK 10: Recognition
17	Tue 03/17/2026	Vision Transformer (II)	Lecture	Chapter 6, Szeliski's book. HW3 due
18	Thu 03/19/2026	Dense Prediction && Transfer Learning	Lecture	Chapter 6, Szeliski's book. Mid-term Report due on Friday
WEEK 11: Generative Modeling
19	Tue 03/24/2026	Introduction to Generative Models && Image Modeling	Lecture	Chapter 5.5.4, Szeliski's book. HW4 out
20	Thu 03/26/2026	Variational Autoencoder (VAE) (Part 1)	Lecture	Chapter 5.5.4, Szeliski's book.
WEEK 12: Generative Modeling
21	Tue 03/31/2026	Variational Autoencoder (VAE) (Part 2)	Lecture	Chapter 5.5.4, Szeliski's book.
22	Thu 04/02/2026	Generative Adversarial Networks (GAN) and Diffusion Model	Lecture	Chapter 5.5.4, Szeliski's book.
WEEK 13: 3D vision
23	Tue 04/07/2026	3D representations	Lecture	Chapter 13, Szeliski's book. HW4 due
24	Thu 04/09/2026	Multiview Geometry	Lecture	Chapter 11, Szeliski's book.
WEEK 14
25	Tue 04/14/2026	Final Presentation	Student Presentation	How to write papers and give talks? (Bill Freeman and Pillip Isola)
26	Thu 04/16/2026	Final Presentation	Student Presentation	How to write papers and give talks? (Bill Freeman and Pillip Isola)
WEEK 15
27	Tue 04/21/2026	Final Presentation	Student Presentation	How to write papers and give talks? (Bill Freeman and Pillip Isola)
28	Thu 04/23/2026	Final Presentation	Student Presentation	How to write papers and give talks? (Bill Freeman and Pillip Isola)
WEEK 16
29	Tue 04/28/2026	Conclusion		Final-term project report due