CS 4391: Introduction to Computer Vision

Fall 2023

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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 08/21/23	Introduction to Computer Vision	Readings: [S] Chapter 1	Yapeng
Lecture 2 Wendesday 08/23/23	Image Formulation: Geometric Primitives and Transformations	Readings: #1: [S] Chapter 2.1	Yapeng
Week 2
Lecture 3 Monday 08/28/23	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 Wendesday 08/30/23	Image Formulation: Light, Shading, and Color	Readings: #1: [S] Chapters 2.2.1, 2.2.2, and 2.3.2	Yapeng	HW1 release on 08/30, due 09/08 at 11:59PM CT.
Week 3
Week 3: Monday 09/04 - Labor Day; No class
Lecture 5 Wendesday 09/06/23	Image Processing: Filtering I	Readings: #1: [S] Chapters 3.1 and 3.2	Yapeng
Week 4
Lecture 6 Monday 09/11/23	Image Processing: Filtering II	Readings: #1: [S] Chapters 3.3.1, 3.3.2 #2: Non-local means Wiki	Yapeng
Lecture 7 Wendesday 09/13/23	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 09/13, due 09/20 at 11:59PM CT
Week 5
Lecture 8 Monday 09/18/23	Feature Detection and Matching: Detectors and Descriptors II	Readings: #1: [S] Chapters 7.1 #2: SIFT IJCV paper #3: ORB ICCV paper	Yapeng
Lecture 9 Wendesday 09/20/23	Deep Learning: Convolutional Neural Networks I	Readings: #1: Stanford CS231n lecture notes #2: Deep learning with PyTorch	Yapeng
Week 6
Lecture 10 Monday 09/25/23	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	HW3 release on 09/25, due 10/02 at 11:59PM CT.
Lecture 11 Wendesday 09/27/23	Pytorch Tutorial		TA: Wenjie Zhao
Week 7
Lecture 12 Monday 10/02/23	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 13 Wendesday 10/04/23	Midterm Exam (10am-11:15am)
Week 8
Lecture 14 Monday 10/09/23	Post-Exam Review and Course Project Description		Yapeng	HW4 release on 10/09, due 10/16 at 11:59PM CT
Lecture 15 Wendesday 10/11/23	Deep Learning: Transformers		Yapeng
Week 9
Lecture 16 Monday 10/16/23	Deep Learning: Generative Neural Network		Yapeng
Lecture 17 Wendesday 10/18/22	Recognition: Visual Representation Learning		Yapeng	Project proposal due 10/18 at 11:59PM CT
Week 10
Lecture 18 Monday 10/23/23	Recognition: Object Detection		Yapeng	HW5 release on 10/23, due 10/30 at 11:59PM CT
Lecture 19 Wendesday 10/25/23	Recognition: Semantic Segmentation		Yapeng
Week 11
Lecture 20 Monday 10/30/23	Motion: Optical Flow		Yapeng
Lecture 21 Wendesday 11/01/23	Motion: Deep FlowNet and Applications		Yapeng
Week 12
Lecture 22 Monday 11/06/23	3D Vision: Camera Calibration and Pose Estimation		Yapeng
Lecture 23 Wendesday 11/08/23	3D Vision: Epipolar Geometry and Stereo		Yapeng
Week 13
Lecture 24 Monday 11/13/23	3D Vision: Structure from motion		Yapeng
Lecture 25 Wendesday 11/15/23	3D Vision: 3D Reconstruction		Yapeng
Week 14: Fall Break; No classes.
Week 15
Monday 11/27/23	Vision and X		Yapeng
Wendesday 11/29/23	Course Project Presentation I		Students	Project presentations are due
Week 16
Monday 12/04/23	Course Project Presentation II		Students	Project presentations are due
Wendesday 12/06/23	Course Project Presentation III		Students	Project presentations are due
Report Week
Tuesday 12/11/23	No classes			Final report due at 11:59PM CT on 12/11/23