CS 295

      Statistical Models for Visual Recognition     

Winter 2009



[Papers] [Schedule]

Instructor:
Deva Ramanan (dramanan@ics.uci.edu)
Office: DBH 4072, 842-4893
Office hours: By appointment

Lectures:
R 11:00-12:20pm DBH 4011

News:
Room has been chanced to DBH 4011
Please look through list of papers and email me your top 3 choices by Monday Jan 12 midnight.

Course description
This seminar course will examine the state-of-the-art in visual recognition. It should be of relevance to students interested in computer vision, machine learning, and/or computer graphics. After a brief introduction, the bulk of this course will consist of student paper presentations. Each student will be presenting one research paper from the list provided. One week prior to the date of your presentation, you will be required to give a dry run of your presentation to me. The goal of this class is to provide students with enough background to read/understand/implement current papers in the feild, and engage in research themselves.

Prerequisite:
As this is a graduate seminar, the main requirement is interest in the material.

Textbook:
There is no required textbook for the course. We will be examining papers from the collection listed here [TBD].

Grading:
The grade will be determined by the quality of the paper presentation and class participation.