Visual Learning and Recognition

Class Logistics

• When : Monday/Wednesday 12:00 PM - 1:20PM
• Where : GHC 4307
• Instructor : Abhinav Gupta
• Office Hours : By Appointment

Updates

• A number of announcements have been posted on Piazza, please check them for important details.
• HW 2 released
• TA OH for hw1 released
• HW 1 released
• Class start

Class Overview

Summary: A graduate course in Computer Vision with emphasis on representation and reasoning for large amounts of data (images, videos and associated tags, text, gps-locations etc) toward the ultimate goal of Image Understanding. We will be reading an eclectic mix of classic and recent papers on topics including: Theories of Perception, Mid-level Vision (Grouping, Segmentation, Poselets), Object and Scene Recognition, 3D Scene Understanding, Action Recognition, Contextual Reasoning, Image Parsing, Joint Language and Vision Models, etc. We will be covering a wide range of supervised, semi-supervised and unsupervised approaches for each of the topics above.

Prerequisites: While there are no formal prerequisites, this course assumes familiarity with computer vision (16-720 or similar) and machine learning (10-601 or similar). If you have not taken courses covering this material, consult with the instructor.

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