Instructor: Ricardo Martin Brualla
Contact: rmartin [at] cs.washington.edu
Lecture times: Tuesday / Thursday 830-950
Location: JHN 075
Office hours: Thursdays 5-6pm CSE 216
Staff mailing list: firstname.lastname@example.org (use it for all questions about homework assignments or projects)
Grade: The grade will be 80% homework assigments and 20% a final project to be done in groups of 2 or 3.
Project: The projects will be due on Monday December 11th at midnight and there will be no penalty-free days for it.
Canvas: Here is the link. We will use for submitting assignments, discussion boards and posting lecture slides.
In parenthesis, the fraction of the HW grade for each assignment.
Lecture slides are available on Canvas.
|October 2||Human Vision, Color Spaces and Transforms||HW0 assigned|
|October 4||Image coordinates, resizing|
|October 9||Filters, convolutions||HW0 due, HW1 assigned|
|October 11||Edges and features|
|October 16||Harris, matching, RANSAC||HW1 due, HW2 assigned|
|October 18||HOG, SIFT|
|October 23||Optical Flow|
|October 25||3D, Depth Perception, and Stereo|
|October 30||Machine Learning||HW2 due, HW3 assigned|
|November 1||More Machine Learning for Computer Vision|
|November 6||Neural Networks|
|November 8||Convolutional Neural Networks|
|November 13||Network Architectures||HW3 due, HW4 assigned|
|November 15||Semantic Segmentation|
|November 20||Guest Lecture: TBD|
|November 22||Thanksgiving, no class.|
|November 27||Object Detection||HW4 due, HW5 assigned|
|November 29||Detection and Instance Segmentation|
|December 4||Vision and Language||HW5 due|
|December 6||Generative Adversarial Networks|