Since the lectures are getting more domain specific and complex, it is becoming tedious to note down everything right during the lecture, so I usually revisit and make the necessary changes or corrections (missed slides or comments) from the recordings provided after the talk. I will again edit those notes in future which are uploaded before the release of recordings for that session as it lacks some annotations.

CVIT-Summer-School-Notes

Digital Notes of the 5th Summer School on Artificial Intelligence by CVIT, IIITH.

This repository contains the curated notes taken during the sessions of the Summer School on Artificial Intelligence. It is a month long online program consisting of various talks, series, tutorials by the eminent personalities in the domain of Artificial Intelligence.

The following links contains the digital pdf version of the notes prepared.

Lecture 1 - Welcome and Introduction

Lecture 2 - Recent Advancements in Deep Learning

Lecture 3 - Fairness in Visual Recognition Tasks

Lecture 4 - Incremental Visual Learning

Lecture 5 - Reinforcement Learning - ML for decision learning and control

Lecture 6 - Machine Translation

Lecture 7- Exploring the landscape of Automatic Speech Recognition

Lecture 8- Multimodal Learning

Lecture 9- Recent Advances in Video and Language Understanding

Lecture 10 (Speaker 1)- Towards Reconstructing and Editing the Visual World

Lecture 10 (Speaker 2)- Knowledgeable and Spatio-Temporal Vision and Language

Lecture 11- Neural Network Verification

Lecture 12- Content Adaptive Convolutional Neural Networks

Lecture 13- Fairness in Two Sided Markets

Lecture 14- Learning from little data

Lecture 15- Building Blocks of Generalizable Autonomy

Lecture 16- Recognising Human Actions in Videos

Lecture 17- Towards Photorealism in AR and Interaction

Lecture 18- Pushing the limits of Machine perception

Lecture 19 - to be added later

Lecture 20 (Speaker 1) - AI For Multimodal Understanding, Creative and Climate Change

Lecture 20 (Speaker 2)- From Disembodied to Embodied AI Disclaimer: The slides shown in the notes are taken from the lectures by the respective speakers as mentioned. The contents of the notes thus in no way claimed to be my original work. It is solely for personal revision of the interested audience.

Other Resources:

I have not prepared any notes or practice codes for the hands on sessions. I am linking the official repositories of the moderators for the same.

1. Hands on session - colab primer
2. Hands on session- CNN, RNN and GAN
3. Hands on session on Pytorch by Vedant Singh and Surgan Jandial
4. Hands on session on Image Colourization, Super Resolution and Impainting
5. Hands on session - Variational Autoencoders
6. Face Verification and Classification by Ekta Hawas and Sahil Bhatt (pdf not uploaded)
7. Stereo Vision (pdf not uploaded)

Update logs:

1. 2021-08-05 10:41 - Updated Day3.pdf with the mathematical inferences.