Announcements:
• Class on Wed, Sep 30th has been rescheduled for Fri, Oct 9th 9am - 12pm.
• The first class will be on Wednesday, September 23rd from 2:15 - 5:05 PM in Herrin T185.
Instructor: Prof. Fei-Fei Li
Office: Room 246 Gates Bldg
Phone: (650)725-3860
Email: feifeili [at] cs [dot] stanford [dot] edu
Office hours: by email appointment
Course Assistant: Andy L. Lin
Email: ydna [at] stanford [dot] edu
Office hours: by email appointment
Class Location and Time:
Wed 2:15-5:05pm - 3 units - Room: Herrin T185 (TO BE CHANGED)
Course Description:
The field of computer vision has seen an explosive growth in the past
decade. Much of the recent effort in vision research is towards
developing algorithms that can perform high-level visual recognition
tasks on real-world images and videos. With the development of the
Internet, this task becomes particularly challenging and interesting
given the heterogeneous data on the web. This course will focus on
reading recent research papers that are focused on solving high-level
visual recognition problems, such as object recognition and categorization, scene understanding,
human motion understanding, etc.
Syllabus:
Weekly reading on recent, state-of-the art papers
Course project involving using data from the ImageNet ontology and a
Video Dataset
Week 1-2: classic papers in object recognition
Week 3-5: object categorization in 3D, in context and large numbers
Week 6-7: scene understanding
Week 7-8: human motion understanding
Week 9-10: webscale recognition
Pre-req:
Some experience in research with one of the following fields: computer vision, image processing, computer graphics, machine learning.
Textbook:
None required.