Date |
Topic |
Lecturer |
Slides |
Reading |
Homework |
March 31 |
Introduction |
Steve Seitz |
Google Slides |
Szeliski, Chapter 1 |
|
April 2 |
Human Vision, Color Spaces and Transforms |
Steve Seitz |
Google Slides |
Brown, M. S. (2019). ICCV 2019 tutorial on understanding color and the in-camera image processing pipeline for computer vision. |
HW1 assigned |
April 7 |
Image coordinates, resizing |
Steve Seitz |
Google Slides |
Szeliski, Chapter 2.1, 3.6 |
|
April 9 |
Filters and convolutions |
Steve Seitz |
Google Slides |
Szeliski, Chapter 3 |
HW1 due, HW2 assigned |
April 14 |
Interpolation and Optimization |
Rick Szeliski |
pdf, pptx |
Szeliski, Chapter 4 |
|
April 16 |
Machine Learning |
Rick Szeliski |
pdf, pptx |
Szeliski, Chapter 5.1-5.2 |
|
April 21 |
Neural Networks |
Rick Szeliski |
pdf, pptx |
Szeliski, Chapter 5.3 |
|
April 23 |
Convolutional Neural Networks |
Rick Szeliski |
pdf, pptx |
Szeliski, Chapter 5.4 |
HW2 due, HW3 assigned |
April 28 |
Network Architectures |
Rick Szeliski |
pdf, pptx |
Szeliski, Chapter 5.4 |
|
April 30 |
Object Detection and Semantic Segmentation |
Rick Szeliski |
pdf, pptx |
Szeliski, Chapter 6.3 |
|
May 5 |
Deep Learning Frameworks, Panoptic Segmentation, and Video |
Rick Szeliski |
pdf, pptx |
Szeliski, Chapter 6.4 |
|
May 7 |
Edges, features, matching, RANSAC |
Harpreet Sawhney |
pdf, pptx |
Szeliski, Chapter 7.1-7.2, 8.1-8.2 |
HW3 due, HW4 assigned |
May 12 |
Edges and Features, HOG, SIFT |
Harpreet Sawhney |
pdf, pptx |
Szeliski, Chapter 7.1 |
|
May 14 |
Edges and Features (cont), Optical Flow |
Harpreet Sawhney |
pdf1
, pptx1
, pdf2
, pptx2
|
Szeliski, Chapter 9 |
|
May 19 |
3D, Depth Perception, and Stereo |
Harpreet Sawhney |
pdf
, pptx
|
Szeliski, Chapter 12 |
|
May 21 |
SLAM/SfM |
Adam Fishman |
pdf |
Szeliski, Chapter 11 |
HW4 due, HW5 assigned |
May 26 |
3D shape/appearance |
Jeong Joon Park |
pptx, pdf |
Szeliski, Chapter 13 |
|
May 28 |
Computational photography |
Aleksander Holynski |
pdf,
pdf with notes,
keynote
|
Szeliski, Chapter 10 |
|
June 2 |
Generative Adversarial Networks (GANs) |
Keunhong Park, Xuan Luo |
Google Slides |
TBD |
|
June 4 |
Hololens Lecture |
Harpreet Sawhney |
|
- |
HW5 due |