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CS 598 ACV - Special Topics - Advanced Computer Vision

Campus: Urbana-Champaign

Description:

Subject offerings of new and developing areas of knowledge in computer science intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites. Course Information: May be repeated in the same or separate terms if topics vary.

Special Instructions:

Title: Advanced Computer Vision Descriptive paragraph: This course will cover advanced research topics in computer vision, with emphasis on recognition tasks and deep learning. Building on the introductory materials in CS 543 (Computer Vision), this course will prepare graduate students in both the theoretical foundations of computer vision and the state-of-the-art approaches to building real-world computer vision systems. We will investigate data sources, model architectures, and learning algorithms that are useful for understanding and manipulating visual data. This course will start by focusing on representation and reasoning for large amounts of data (images, videos, 3D point clouds, associated tags, text, gps-locations, etc). We will then in particular discuss recent efforts towards visual learning and reasoning with less human supervision. Students will be required to read, present, critique, and discuss research papers and perform a related research project. By the end of the c

Option 1

Number of Required Visit(s): 0

Course Level: Graduate

Credit: 4

Term(s): Spring


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