# CSE 455: Computer Vision https://www.cs.washington.edu/education/courses/455/25au/ Toggle navigation [CSE 455: Computer Vision](https://courses.cs.washington.edu/courses/cse455/25au/) * [Schedule](https://courses.cs.washington.edu/courses/cse455/25au/schedule) * [Assignments](https://courses.cs.washington.edu/courses/cse455/25au/assignments) * [Grading](https://courses.cs.washington.edu/courses/cse455/25au/grading) * [Policies](https://courses.cs.washington.edu/courses/cse455/25au/policies) * [Project](https://courses.cs.washington.edu/courses/cse455/25au/project.html) * 25au ## CSE 455: Computer Vision #### Class: T/Th 11:30am -12:50pm, CSE2 G01 #### Recitation: Fri 12:30-1:20pm, SIG 134 ### 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. ### Important Links Canvas: Gradescope: (Code: 22V2EX) EdStem: [https://edstem.org/us/courses/84905](https://edstem.org/us/courses/84905/) ### Course Staff + Office Hours | Instructors | Teaching Assistants | | --- | --- | | ![Linda Shapiro](https://courses.cs.washington.edu/courses/cse455/25au/img/linda.png) | | ![Nishat Khan](https://courses.cs.washington.edu/courses/cse455/25au/img/nishat.png) | ![Raymond Yu](https://courses.cs.washington.edu/courses/cse455/25au/img/raymond.png) | ![Wisdom Ikezogwo](https://courses.cs.washington.edu/courses/cse455/25au/img/wisdom.png) | ![Rustin Soraki](https://courses.cs.washington.edu/courses/cse455/25au/img/rustin.png) | ![Weikai Huang ](https://courses.cs.washington.edu/courses/cse455/25au/img/weikai.png) | | [ Linda Shapiro](https://homes.cs.washington.edu/~shapiro/) | | [ Nishat Khan](https://www.linkedin.com/in/nishat-anjum-khan-a1b98099/) | [ Raymond Yu](https://raymondyu5.github.io) | [ Wisdom Ikezogwo](https://wisdomikezogwo.github.io/) | [ Rustin Soraki](https://www.linkedin.com/in/rustin-soraki/) | [ Weikai Huang ](https://weikaih04.github.io/) | | Hours: Fri | | Hours: Thu | Hours: Tue | Hours: Fri | Hours: Wed | Hours: Mon | | make appt | | 1 - 3 pm | 5 - 7 pm | 4 - 5 pm | 4 - 6 pm | 8 - 10 am | | zoom | | CSE 220 | CSE2 151 | [zoom](https://washington.zoom.us/j/7279009864) | [zoom](https://washington.zoom.us/j/4121914707) | CSE2 150 | | shapiro@cs. washington.edu | | nkhan51@cs. washington.edu | ryu5@cs. washington.edu | wisdomik@cs. washington.edu | rustin@cs. washington.edu | weikaih@cs. washington.edu | * * * ### Prerequisites Linear Algebra, Calculus, Data Structures, 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](https://courses.cs.washington.edu/courses/cse455/25au/schedule), [5 assignments](https://courses.cs.washington.edu/courses/cse455/25au/assignments), and a final project. * * * ![CSE Wordmark](https://courses.cs.washington.edu/courses/cse493g1/23au/img/CSEWordmark_sm.png) [UW Site Use Agreement](https://www.washington.edu/online/terms/)