CS 6384: Computer Vision

Spring 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 Tuesday 01/17/23	Introduction to Computer Vision	Readings: [S] Chapter 1	Yapeng
Lecture 2 Thursday 01/19/23	Image Formulation: Camera Models	Readings: #1: Stanford CS231A Course Notes 1 #2: [H&Z] Chapter 6 #3: [S] Chapter 2.1.4	Yapeng
Week 2
Lecture 3 Tuesday 01/24/23	Image Formulation: Light, Shading, and Color	Readings: #1: [S] Chapters 2.2.1, 2.2.2, and 2.3.2	Yapeng
Lecture 4 Thursday 01/26/23	Image Processing: Filtering I	Readings: #1: [S] Chapters 3.1 and 3.2	Yapeng
Week 3: Class canceled due to winter storm.
Week 4
Lecture 5 Tuesday 02/07/23	Image Processing: Filtering II	Readings: #1: [S] Chapters 3.3.1, 3.3.2 #2: Non-local means Wiki	Yapeng	HW1 release on 02/07, due 2/15 at 11:59PM CT.
Lecture 6 Thursday 02/09/23	Pytorch Tutorial		TA: Shijian	Project description release on 2/07; proposal due 2/23 at 11:59PM CT
Week 5
Lecture 7 Tuesday 02/14/23	Feature Detection and Matching: Detectors and Descriptors I	Readings: #1: [S] Chapters 3.2, 7.1 #2: A COMBINED CORNER AND EDGE DETECTOR	Yapeng
Lecture 8 Thursday 02/16/23	Feature Detection and Matching: Detectors and Descriptors II	Readings: #1: [S] Chapters 7.1 #2: SIFT IJCV paper #3: ORB ICCV paper	Yapeng
Week 6
Lecture 9 Tuesday 02/21/23	Deep Learning: Convolutional Neural Networks I	Readings: #1: Stanford CS231n lecture notes #2: Deep learning with PyTorch	Yapeng
Lecture 10 Thursday 02/23/23	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	HW2 release on 2/23, due 03/02 at 11:59PM CT
Week 7
Lecture 11 Tuesday 02/28/23	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 12 Thursday 03/02/23	Deep Learning: Transformers		Yapeng	HW3 release on 02/03, due 3/09 at 11:59PM CT
Week 8
Lecture 13 Tuesday 03/07/23	Deep Learning: Generative Neural Network		Yapeng
Lecture 14 Thursday 03/09/23	Recognition: Visual Representation Learning		Yapeng
Week 9: Spring Break; No classes
Week 10
Lecture 15 Tuesday 03/21/22	Recognition: Object Detection		Yapeng
Lecture 16 Thursday 03/23/23	Recognition: Semantic Segmentation		Yapeng
Week 11
Lecture 17 Tuesday 03/28/22	Motion: Optical Flow		Yapeng
Lecture 18 Thursday 03/30/23	Motion: Deep FlowNet and Applications		Yapeng	Project mid-term report due 3/30 at 11:59PM CT; HW4 release on 3/31, due 4/07 at 11:59PM CT
Week 12
Lecture 19 Tuesday 04/04/23	3D Vision: Camera Calibration and Pose Estimation		Yapeng
Lecture 20 Thursday 04/06/23	3D Vision: Epipolar Geometry and Stereo		Yapeng	HW5 release on 4/07, due 4/14 at 11:59PM CT
Week 13
Lecture 21 Tuesday 04/11/23	3D Vision: Structure from motion		Yapeng
Lecture 22 Thursday 04/13/23	3D Vision: 3D Reconstruction		Yapeng
Week 14
Lecture 23 Tuesday 04/18/23	Advanced Topics: NeRFs		Yapeng
Lecture 24 Thursday 04/20/23	Advanced Topics: Vision and X		Yapeng
Week 15
Tuesday 04/25/23	Course Project Presentation I		Students	Project presentations are due
Thursday 04/27/23	Course Project Presentation II		Students	Project presentations are due
Week 16
Tuesday 05/02/23	Course Project Presentation III		Students	Project presentations are due
Thursday 05/04/23	Course Project Presentation IV		Students	Project presentations are due
Report Week
Tuesday 05/09/23	No classes			Final report due at 11:59PM CT on 5/09