Study Notes

Projects, paper reviews, and CV/ML concepts which I like to summarize for my own future reference.

Reinforcement Learning Theory

RL Intro and Imitation Learning

Learning by trial and error

Modernizing CNNs with Transformer design choices

Forward and inverse projection, distortion models

From volume rendering fundamentals to the NeRF pipeline

Finding the robot end-effector-to-camera transform