CSE 455: Computer Vision

Class: Tue/Thu 11:30am–12:50pm, CSE2 G01



About the course

Ever wonder how robots can navigate space and perform duties, how search engines can index billions of images and videos, how algorithms can diagnose medical images for diseases, how self-driving cars can see and drive safely or how instagram creates filters or snapchat creates masks? In this class, we will explore all of these technologies and learn to prototype them. Lying in the heart of these modern AI applications are computer vision technologies that can perceive, understand and reconstruct the complex visual world. Computer Vision is one of the fastest growing and most exciting AI disciplines in today’s academia and industry. This 10-week course is designed to open the doors for students who are interested in learning about the fundamental principles and important applications of computer vision. We will expose students to a number of real-world applications that are important to our daily lives. More importantly, we will guide students through a series of well designed projects such that they will get to implement a few interesting and cutting-edge computer vision algorithms.


Canvas | Gradescope | EdStem

Course Staff + Office Hours

Office hours, rooms, and video links for Spring 2026 will be confirmed during the first week of the quarter.

Instructor
Teaching Assistants
Zoran Popović
Raymond Yu
Johanna Karras
Masa Nakura
Boyang Zhou
Zoran Popović
Raymond Yu
Johanna Karras
Masa Nakura
Boyang Zhou
Hours: Tue
Hours: Thu
Hours: Fri
Hours: Mon
Hours: Wed
1:00pm
5:00pm-7:00pm
10:00am-12:00pm
10:00am-12:00pm
5:00pm-7:00pm
TBD
Gates 153
Zoom
Allen 220
Allen Center 624
zoran@cs.
washington.edu
ryu5@cs.
washington.edu
jskarras@cs.
washington.edu
mnakura@cs.
washington.edu
zby2003@cs.
washington.edu

Prerequisites

Linear Algebra, Calculus and Statistics. While it is recommended to have some prior background in Machine Learning, the necessary fundamentals will be covered as part of this class.


Course format

The class format will be a combination of lectures, programming assignments on the assignments page, and a final exam.