CS 6384: Computer Vision

Spring 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 Tuesday 01/20/26	Introduction to Computer Vision	Readings: [S] Chapter 1	Yapeng
Lecture 2 Thursday 01/22/26	Image Formulation: Geometric Primitives and Transformations	Readings: #1: [S] Chapter 2.1	Yapeng
Week 2
Lecture 3 Tuesday 01/27/26	Image Formulation: Camera Models	Readings: #1: Stanford CS231A Course Notes 1 #2: [H&Z] Chapter 6 #3: [S] Chapter 2.1.4	Yapeng
Lecture 4 Thursday 01/29/26	Image Formulation: Light, Shading, and Color	Readings: #1: [S] Chapters 2.2.1, 2.2.2, and 2.3.2	Yapeng
Week 3
Lecture 5 Tuesday 02/03/26	Image Processing: Filtering I	Readings: #1: [S] Chapters 3.1 and 3.2	Yapeng	HW1 release on 02/03, due 02/10 at 11:59PM CT.
Lecture 6 Thursday 02/05/26	Image Processing: Filtering II	Readings: #1: [S] Chapters 3.3.1, 3.3.2 #2: Non-local means Wiki	Yapeng
Week 4
Lecture 7 Tuesday 02/10/26	Feature Detection and Matching: Detectors and Descriptors I	Readings: #1: [S] Chapters 3.2, 7.1 #2: A COMBINED CORNER AND EDGE DETECTOR	Yapeng	HW2 release on 02/11, due 02/18 at 11:59PM CT
Lecture 8 Thursday 02/12/26	Feature Detection and Matching: Detectors and Descriptors II	Readings: #1: [S] Chapters 7.1 #2: SIFT IJCV paper #3: ORB ICCV paper	Yapeng
Week 5
Lecture 9 Tuesday 02/17/26	Deep Learning: Convolutional Neural Networks I	Readings: #1: Stanford CS231n lecture notes #2: Deep learning with PyTorch	Yapeng	HW3 release on 02/16, due 02/23 at 11:59PM CT
Lecture 10 Thursday 02/19/26	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
Week 6
Lecture 11 Tuesday 02/24/26	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
Lecture 12 Thursday 02/26/26	Deep Learning: Transformers		Yapeng
Week 7
Lecture 13 Tuesday 03/03/26	Pytorch Tutorial		TA
Lecture 14 Thursday 03/05/26	Midterm Exam (TI Auditorium, ECSS 2.102; 11:30 AM - 12:45 PM)
Week 8
Lecture 15 Tuesday 03/10/26	Post-Exam Review and Course Project Description		Yapeng	HW4 release on 03/01, due 03/08 at 11:59PM CT
Lecture 16 Thursday 03/12/26	Deep Learning: Generative Neural Network		Yapeng	Project proposal due 03/19 at 11:59PM CT
Week 9: Spring Break; No classes.
Week 10
Lecture 17 Tuesday 03/24/26	Recognition: Visual Representation Learning		Yapeng
Lecture 18 Thursday 03/26/26	Recognition: Object Detection		Yapeng	HW5 release on 03/26, due 04/02 at 11:59PM CT
Week 11
Lecture 19 Tuesday 03/31/26	Recognition: Semantic Segmentation		Yapeng
Lecture 20 Thursday 04/02/26	Motion: Optical Flow		Yapeng
Week 12
Lecture 21 Tuesday 04/07/26	Motion: Deep FlowNet and Applications		Yapeng
Lecture 22 Thursday 04/09/26	Guest Lecture I		TBD
Week 13
Lecture 23 Tuesday 04/14/26	3D Vision: Camera Calibration and Pose Estimation		Yapeng
Lecture 24 Thursday 04/16/26	3D Vision: Epipolar Geometry and Stereo		Yapeng
Week 14
Lecture 25 Tuesday 04/21/26	3D Vision: Structure from motion		Yapeng
Lecture 26 Thursday 04/23/26	Guest Lecture II		TBD
Week 15
Lecture 25 Tuesday 04/28/26	CVMC Lab Research		Yapeng	Project presentations are due
Lecture 25 Thursday 4/30/26	Course Project Presentation I		Students
Week 16
Tuesday 05/05/26	Course Project Presentation II		Students
Thursday 05/07/26	Course Project Presentation III		Students
Report Week
Tuesday 05/12/26	No classes			Final report due at 11:59PM CT on 05/12/26