CS 280: Computer Vision
UC Berkeley, Spring 2023
Time: TuTh 3:30PM - 4:59PM
Location: Soda 306
Instructors: Alexei Efros, Jitendra Malik
GSI: Ilija Radosavovic
Undergraduate and masters enrollment policy: With permission from the instructors only. Please email the GSI for the enrollment form.
Students will receive access to Ed Discussion for class related discussions. Please email the GSI if you did not receive an invite.
Updates
- Project presentations on 5/9 at 3:30PM in Soda 306!
- Final project presentation guideliness released
Lectures
- Lecture 1 (1/17) Introduction to Computer Vision
- Lecture 2 (1/19) Fundamentals of Image Formation
- Lecture 3 (1/24) Radiometry of Image Formation
- Lecture 4 (1/26) Color Vision
- Lecture 5 (1/31) Human Vision
- Lecture 6 (2/2) Image Processing
- Lecture 7 (2/7) Image Processing Cont.
- Lecture 8 (2/9) Statistical Image Representations I
- Lecture 9 (2/14) Statistical Image Representations II
- Lecture 10 (2/16) Generating Images from Noise
- Lecture 11 (2/21) Object Detection
- Lecture 12 (2/23) Optical Flow
- Lecture 13 (2/28) Correspondence and Interest Points
- Lecture 14 (3/2) Perceptual Organization and Scene Understanding
- Lecture 15 (3/7) Optical Flow Geometry
- Lecture 16 (3/9) Multi-view Geometry I
- Lecture 17 (3/14) Multi-view Geometry I Cont.
- Lecture 18 (3/16) Multi-view Geometry II
- Lecture 19 (3/21) Multi-view Geometry II Cont.
- Lecture 20 (3/23) Multi-view Geometry III
- Lecture 21 (4/4) Multi-view Geometry III Cont.
- Lecture 22 (4/11) 3D Humans and Tracking
- Lecture 23 (4/13) Nerual Radiance Fields
- Lecture 24 (4/18) Video and Language
- Lecture 25 (4/20) Vision and Manipulation
- Lecture 26 (4/25) Vision and Navigation
- Lecture 27 (4/27) Vision and Locomotion