Blogs

Input and Output

"If you can't explain it simply, you don't understand it well enough."" - Albert Einstein

2022 • Technical Blog

Paper reading: Human Pose Regression with Residual Log-likelihood Estimation

Regression problem can be reviewed from the maximum likelihood estimation perspective. The learning process of a model is to optimize its learnable parameters \(\phi\) that makes labels \(\mu_{g}\) most probable...

2022 • Technical Blog

Normalizing Flows and Its Friends (Part 2)

flow-based model RealNVP

What is Normalizing Flows?

2022 • Technical Blog

Normalizing Flows and Its Friends (Part 1)

Jacobian Matrix Determinant Change of Variable Theorem

Here is some pre-requisite knowledge required before we move to Normalizing Flows.

2020 • Technical Blog

Gradient Class Activation Map (Grad-CAM) Summary

GradCam penultimate layer feature visualization

The following note demonstrates the logic procedure of how a GradCam is computed...