Tutorial on Deep Learning for Computer Vision

5th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics
Indian Institute of Technology Patna
Patna, Bihar
December 16th, 2015

Prof. C.V Jawahar
Center for Visual Information Technology,
IIIT Hyderabad, INDIA
Web page: http://iiit.ac.in/~jawahar/
Email: jawahar@iiit.ac.in

There has been an increasing interest in use of deep learning for computer vision ever since the success of AlexNet in 2012. This tutorial aims at providing an overview of the recent advances in this area. This tutorial is aimed at research students and beginner researchers. We provide an overview of the popular deep learning techniques, and validate their application with a set of case studies from the recent years. Some amount of exposure to the modern computer vision and machine learning is expected. Tutorial is broadly divided into broadly four parts as below:

    Part 1: Introduction [Slides]

  • Computer vision: brief history and problem space
  • Neural network learning

    • Part 2: Introduction to Deep learning [Slides]

  • Architectures
  • Algorithms

    • Part 3: Recent success [Slides]

  • Case studies
  • Discussions

    • Part 4: Various [Slides]

  • Practical aspects
  • Challenges



In case of queries, please drop a email at jawahar@iiit.ac.in