This is a tutorial repository for CSC2503 - Foundations of Computer Vision course at the University of Toronto. In this tutorial, we will explore human parametric models such as SMPL, SMPL-X, and ...

Welcome to the Parametric RAG Toolkit, developed as part of our SIGIR 2025 Tutorial: Dynamic and Parametric Retrieval-Augmented Generation. Change the path of src/root_dir_path.py to the path you ...

This tutorial offers a unified introduction to the modern theory of causality based on counterfactuals (aka potential outcomes), directed acyclic graphs (DAGs) and non-parametric structural equation ...

Abstract: Activation functions are pivotal in neural networks, determining the output of each neuron. Traditionally, functions like sigmoid and ReLU have been static and deterministic. However, the ...

This tutorial reviews image alignment and image stitching algorithms. Image alignment (registration) algorithms can discover the large-scale (parametric) correspondence relationships among images with ...