ADIPCV (CS60052)

Welcome to Advanced Digital Image Processing and Computer Vision (ADPICV) CS60052.

Over the coming semester we will be learning about various image processing and computer vision approaches that are essential to build systems to make sense of the world around us. Here is a list of topics that will be covered (links are to IITKGP CSE internal moodle)

• Fundamentals of Image processing and Computer Vision

• Feature extraction and description

• Deep learning for Images

• Generative Adversarial Networks

• Diffusion Models

• Fundamentals of Video Processing

• Deep learning for Videos

• Vision Transformers

• Object Tracking

• Vision Language Models

References

• Computer Vision: Algorithms & Applications, R. Szeleski, Springer. https://dl.icdst.org/pdfs/files4/01c56e081202b62bd7d3b4f8545775fb.pdf

• Computer vision: A modern approach: Forsyth and Ponce, Pearson (Indian Reprint).

• Deep learning (Vol. 1).Bengio, Y., Goodfellow, I., & Courville, A. (2017). Cambridge, MA, USA: MIT press. https://www.deeplearningbook.org/

• Computer Vision, IIT Kharagpur, Prof. Jayanta Mukhopadhyay https://nptel.ac.in/courses/106/105/106105216/

• Deep Learning for Computer Vision (CS231N) - Stanford University

• Python- Numpy tutorial - https://cs231n.github.io/python-numpy-tutorial/

• Deep Learning with PyTorch tutorial - https://pytorch.org/tutorials/beginner/deep_learning_60min_blitz.html