CS 4391: Introduction to Computer Vision |
||
Fall 2025 |
||
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 08/25/25 |
Introduction to Computer Vision | Readings: [S] Chapter 1 |
Yapeng | ||
| Lecture 2 Wendesday 08/27/25 |
Image Formulation: Geometric Primitives and Transformations | Readings: #1: [S] Chapter 2.1 |
Yapeng | ||
| Week 2 | |||||
| Monday 09/01 - Labor Day; No class | |||||
| Lecture 3 Wendesday 09/03/25 |
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. | |
| Week 3 | |||||
| Lecture 4 Monday 09/08/25 |
Image Formulation: Light, Shading, and Color | Readings: #1: [S] Chapters 2.2.1, 2.2.2, and 2.3.2 |
Yapeng | ||
| Lecture 5 Wendesday 09/10/25 |
Image Processing: Filtering I | Readings: #1: [S] Chapters 3.1 and 3.2 |
Yapeng | ||
| Week 4 | Lecture 6 Monday 09/15/25 |
Image Processing: Filtering II | Readings: #1: [S] Chapters 3.3.1, 3.3.2 #2: Non-local means Wiki |
Yapeng | HW2 release on 09/15, due 09/22 at 11:59PM CT |
| Lecture 7 Wendesday 09/17/25 |
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 09/22/25 |
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 09/24/25 |
Deep Learning: Convolutional Neural Networks I | Readings: #1: Stanford CS231n lecture notes #2: Deep learning with PyTorch |
Yapeng | ||
| Week 6 | |||||
| Lecture 10 Monday 09/29/25 |
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 10/01/25 |
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 10/06/25 |
Deep Learning: Transformers | Yapeng | ||
| Lecture 13 Wendesday 10/08/25 |
Midterm Exam (10am-11:15am; location: TBD) |
||||
| Week 8 | |||||
| Lecture 14 Monday 10/13/25 |
Post-Exam Review and Course Project Description | Yapeng | HW4 release on 10/13, due 10/20 at 11:59PM CT | ||
| Lecture 15 Wendesday 10/15/25 |
Deep Learning: Generative Neural Network | Yapeng | |||
| Week 9 | |||||
| Lecture 16 Monday 10/20/25 |
Pytorch Tutorial | TA | |||
| Lecture 17 Wendesday 10/22/25 |
Recognition: Visual Representation Learning | TA | Project proposal due 10/22 at 11:59PM CT | ||
| Week 10 | |||||
| Lecture 18 Monday 10/27/25 |
Recognition: Object Detection | Yapeng | HW5 release on 10/27, due 11/03 at 11:59PM CT | ||
| Lecture 19 Wendesday 10/29/25 |
Recognition: Semantic Segmentation | Yapeng | |||
| Week 11 | |||||
| Lecture 20 Monday 11/03/25 |
Motion: Optical Flow | Yapeng | |||
| Lecture 21 Wendesday 11/05/25 |
Motion: Deep FlowNet and Applications | Yapeng | |||
| Week 12 | |||||
| Lecture 22 Monday 11/10/25 |
3D Vision: Camera Calibration and Pose Estimation | Yapeng | |||
| Lecture 23 Wendesday 11/12/25 |
3D Vision: Epipolar Geometry and Stereo | Yapeng | |||
| Week 13 | |||||
| Lecture 24 Monday 11/17/25 |
3D Vision: Structure from motion | Yapeng | |||
| Lecture 25 Wendesday 11/19/25 |
3D Vision: 3D Reconstruction | Yapeng | |||
| Week 14: Fall Break; No classes. | |||||
| Week 15 | |||||
Monday 12/01/25 |
Guest Lecture | Invited Speaker | |||
Wendesday 12/03/25 |
Course Project Presentation I |
Students | Project presentations are due | ||
| Week 16 | |||||
Monday 12/08/25 |
Course Project Presentation II | Students | Project presentations are due | ||
| Report Week | |||||
Tuesday 12/15/25 |
No classes | Final report due at 11:59PM CT on 12/15/25 | |||