CS 4391: Foundations of Computer Vision

Fall 2026

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Textbooks:

S: Richard Szeliski. Computer Vision: Algorithms and Applications. 2022th Edition. Available online: https://szeliski.org/Book/

F&P: David Forsyth, Jean Ponce. Computer Vision: A Modern Approach, 2nd Edition. Pearson, 2011. (Optional)

H&Z: Richard Hartley and Andrew Zisserman. Multiview Geometry in Computer Vision, 2nd Edition. 2004. (Optional)

*This schedule is tentative and subject to change as the term evolves.

Date	Topics	Course Materials	Instructor	Deadlines
Week 1
Lecture 1 Monday 08/24/26	Introduction to Computer Vision	Readings: [S] Chapter 1	Yapeng
Lecture 2 Wendesday 08/26/26	Image Formulation: Geometric Primitives and Transformations	Readings: #1: [S] Chapter 2.1	Yapeng
Week 2
Lecture 3 Monday 08/31/26	Image Formulation: Camera Models	Readings: #1: Stanford CS231A Course Notes 1 #2: [H&Z] Chapter 6 #3: [S] Chapter 2.1.4	Yapeng	HW1 release on 09/03, due 09/10 at 11:59PM CT.
Lecture 4 Wednesday 09/02/26	Image Formulation: Light, Shading, and Color	Readings: #1: [S] Chapters 2.2.1, 2.2.2, and 2.3.2	Yapeng
Week 3
Monday 09/07 - Labor Day; No class
Lecture 5 Wendesday 09/09/26	Image Processing: Filtering I	Readings: #1: [S] Chapters 3.1 and 3.2	Yapeng
Week 4
Lecture 6 Monday 09/14/26	Image Processing: Filtering II	Readings: #1: [S] Chapters 3.3.1, 3.3.2 #2: Non-local means Wiki	Yapeng	HW2 release on 09/14, due 09/21 at 11:59PM CT
Lecture 7 Wendesday 09/16/26	Feature Detection and Matching: Detectors and Descriptors I	Readings: #1: [S] Chapters 3.2, 7.1 #2: A COMBINED CORNER AND EDGE DETECTOR	Yapeng
Week 5
Lecture 8 Monday 09/21/26	Feature Detection and Matching: Detectors and Descriptors II	Readings: #1: [S] Chapters 7.1 #2: SIFT IJCV paper #3: ORB ICCV paper	Yapeng	HW3 release on 09/22, due 09/29 at 11:59PM CT.
Lecture 9 Wendesday 09/23/26	Deep Learning: Convolutional Neural Networks I	Readings: #1: Stanford CS231n lecture notes #2: Deep learning with PyTorch	Yapeng
Week 6
Lecture 10 Monday 09/28/26	Deep Learning: Convolutional Neural Networks II	Readings: #1: Stanford CS231n lecture notes: optimization #2: Stanford CS231n lecture notes: Backprop #3: Backprop for a linear layer	Yapeng
Lecture 11 Wendesday 09/30/26	Deep Learning: Recurrent Neural Network	Readings: #1: DL textbook: Sequence Modeling: Recurrent and Recursive Nets #2: Stanford CS231n, lecture 10, Recurrent Neural Networks #3: Long Short Term Memory #4: Gated Recurrent Units	Yapeng
Week 7
Lecture 12 Monday 10/05/26	Deep Learning: Transformers		Yapeng
Lecture 13 Wendesday 10/07/26	Midterm Exam (10am-11:15am; location: TBD)
Week 8
Lecture 14 Monday 10/12/26	Post-Exam Review and Course Project Description		Yapeng	HW4 release on 10/13, due 10/20 at 11:59PM CT
Lecture 15 Wendesday 10/14/26	Deep Learning: Generative Neural Network		Yapeng
Week 9
Lecture 16 Monday 10/19/26	Pytorch Tutorial		TA
Lecture 17 Wendesday 10/21/26	Recognition: Visual Representation Learning		TA	Project proposal due 10/21 at 11:59PM CT
Week 10
Lecture 18 Monday 10/26/26	Recognition: Object Detection		Yapeng	HW5 release on 10/26, due 11/03 at 11:59PM CT
Lecture 19 Wendesday 10/28/26	Recognition: Semantic Segmentation		Yapeng
Week 11
Lecture 20 Monday 11/02/26	Motion: Optical Flow		Yapeng
Lecture 21 Wendesday 11/04/26	Motion: Deep FlowNet and Applications		Yapeng
Week 12
Lecture 22 Monday 11/09/26	3D Vision: Camera Calibration and Pose Estimation		Yapeng
Lecture 23 Wendesday 11/11/26	3D Vision: Epipolar Geometry and Stereo		Yapeng
Week 13
Lecture 24 Monday 11/16/26	3D Vision: Structure from motion		Yapeng
Lecture 25 Wendesday 11/18/26	3D Vision: 3D Reconstruction		Yapeng
Week 14: Fall Break; No classes.
Week 15
Monday 11/30/26	Course Project Presentation I		Students	Project presentations are due
Wendesday 12/02/26	Course Project Presentation II		Students
Week 16
Monday 12/07/26	Course Project Presentation III		Students
Wednesday 12/09/26	Course Project Presentation IV		Students
Report Week
Monday 12/14/26	No classes			Final report due at 11:59PM CT on 12/14/26