Vision Transformer paper dissection

Hi, I am Dr. Sreedath Panat, PhD from MIT and one of the founders of Vizuara AI Labs. This video is very different from most lectures you find on Vision Transformers. It is not a summary or a slide-based explanation. It is a genuine, unfiltered paper reading session where I sit down and go through the original Vision Transformer paper from Google, line by line, discussing what the authors meant, how the ideas evolved, and how it feels to actually read such a dense research paper.

This is not a short lecture. The paper is 22 pages long, and I wanted to keep its structure intact instead of simplifying it into pretty slides. While recording, I realised how physically and mentally exhausting this process can be. Reading research papers deeply is not easy. It requires focus, patience, and the willingness to get tired and still continue.

In this video, I share how I approached it. I printed out the paper, read it with a pen in hand, and applied what I learned from Cal Newport’s Deep Work. I kept my phone away, shut my door, and gave the paper my full attention. I also talk about how you can do the same — take breaks, write notes, use ChatGPT when you get stuck, and most importantly, enjoy the process of struggling through and finally understanding something hard.

If you have always wanted to develop the habit of reading AI research papers seriously, I hope this video helps you.