| Date |
Topic |
Reading |
Slides |
| January 10 |
Cancelled |
|
|
| January 12 |
Lecture 1: Introduction |
Chapter 1, Szeleski |
Slides (pptx) |
| January 14 |
Lecture 2: Introduction to Computer Vision |
Chapter 1, Szeleski |
Slides (pptx) |
| January 16 |
Lecture 3: Human Vision, Color Spaces and Transforms |
Brown, M. S. (2019). https://www.eecs.yorku.ca/~mbrown/ICCV2019_Brown.html |
Slides (pptx) |
| January 17 |
Lecture 4: Image coordinates, resizing |
Chapter 2.1, 3.6, Szeleski |
Slides (pptx) |
| January 19 |
Lecture 5: Image coordinates, resizing / Filters and convolutions |
Chapter 3, Szeleski |
Slides (pptx) |
| January 21 |
Lecture 6: Filters and convolutions |
Chapter 3, Szeleski |
Slides (pptx) |
| January 24 |
Lecture 7: Interpolation and Optimization |
Chapter 4, Szeleski |
Slides (pptx) |
| January 26 |
Lecture 8: Interpolation and Optimization |
Chapter 4, Szeleski |
Slides (pptx) |
| January 28 |
Lecture 9: Machine Learning |
Chapter 5.1-5.2, Szeleski |
Slides (pptx) |
| January 31 |
Lecture 10: Neural Networks |
Chapter 5.3-5.4, Szeleski |
Slides (pptx) |
| February 2 |
Lecture 11: Neural Networks and Convolutional Neural Networks |
Chapter 5.3-5.4, Szeleski |
Slides (pptx) |
| February 4 |
Lecture 12: Neural Networks and Convolutional Neural Networks Continued... |
Chapter 5.3-5.4, Szeleski |
Slides (pptx) |
| February 7 |
Lecture 13: CNNs and Network Architectures |
Chapter 5.4, Szeleski |
Slides (pptx) |
| February 9 |
Lecture 14: Network Architectures, Object Detection |
Chapters 5.4, 6.3 Szeleski |
Slides (pptx) |
| February 11 |
Lecture 15: Object Detection and Semantic Segmentation |
Chapter 6.3 Szeleski |
Slides (pptx) |
| February 14 |
Lecture 16: Object Detection/Deep Learning Frameworks, etc. |
Chapter 6.4 Szeleski |
Slides (pptx) |
| February 16 |
Lecture 17: Deep Learning Frameworks, Panoptic Segmentation and Video |
Chapter 6.4 Szeleski |
Slides (pptx) |
| February 18 |
Lecture 18: Segmentation and Video continued... |
Chapter 7.1-7.2, 8.1-8.2 Szeleski |
Slides (pptx) |
| February 21-25 |
MIDTERM BREAK |
MIDTERM BREAK |
|
| February 28 |
Lecture 19: Edges, Features, Matching and RANSAC/HOG, SIFT |
Chapter 7.1-7.2, 8.1-8.2 Szeleski |
Slides (pptx) |
| March 2 |
Lecture 20: Edges, Features, Matching and RANSAC/HOG, SIFT continued... Optical Flow |
Chapter 9 Szeleski |
Slides (pptx) |
| March 4 |
Midterm Exam |
Mid-term Outline |
|
| March 7 |
Lecture 21: Edges, Features, Matching and RANSAC/HOG, SIFT continued... |
Chapter 7.1-7.2, 8.1-8.2, Chapter 9 |
Slides (pptx) |
| March 9 |
Lecture 22: Matching and RANSAC/HOG, SIFT continued... |
Chapter 7.1-7.2, 8.1-8.2, Chapter 9 |
Slides (pptx) |
| March 11 |
Lecture 23: 3D Vision, Depth, Stereo |
Szeliski, Chapter 12 |
Slides (pptx) |
| March 14 |
Lecture 24: Stereo continued, SfM |
Szeliski, Chapter 11, 12 |
Part 1 Slides (pptx) Part 2: PDF |
| March 16 |
Lecture 25: SfM and SLAM |
Szeliski, Chapter 11, 12 |
PDF |
| April 8 |
Lecture 26: Final Exam Review |
Final Exam Outline |
Slides (pptx) |
Labs will be held at CSF 2112. Lab submission is expected to be individual for each person, not a group activity.