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Selected Topics in Computer Vision

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Course
Postgraduate
Semester
Electives
Subject Code
AVD876

Syllabus

Breakthroughs in computer vision, including object, scene, and activity recognition. Deep learning and statistical techniques. Developments in new research and advances in machine learning, statistical image modeling, sparse coding, graph/information theory, and other methodologies. Surveys of the latest trends in high-level vision in terms of problems and mathematical-theory formulations.

Topics will be from:

New Theory and Methodologies in Computer Vision

New Applications of Computer Vision

Societal aspects of computer vision

Text Books

Same as Reference

References

1. A Guide to Convolutional Neural Networks for Computer Vision, S. Khan, H. Rahmani, S. Shahand M. Bennamoun.

2. Recent papers from CVPR, PAMI, ICCV etc