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UCSD ECE 285: Introduction to Visual Learning (Spring 2025)
| Date | Lecture | Materials | Assignments |
| Apr 1 | Introduction to Visual Learning | Lecture 1 | |
| Apr 3 | Image Classification: K-NN and Linear Classifier | Lecture 2 | |
| Apr 8 | Multi-Layer Perceptrons and Back-Propagation | Lecture 3 | Assignment 1 |
| Apr 10 | Convolutional Neural Networks 1 | Lecture 4 | |
| Apr 15 | Convolutional Neural Networks 2 | Lecture 5 | |
| Apr 17 | Tutorial on Pytorch | Tutorial Notebook | Assignment 2 |
| Apr 22 | Image Segmentation and Visualization | Lecture 7 | Assignment 1 due |
| Apr 24 | Recurrent Neural Networks | Lecture 8 | |
| Apr 29 | Video Recognition | Lecture 9 | |
| May 1 | Object Detection | Lecture 10 | Project Proposal Due |
| May 6 | Video Prediction | Lecture 11 | Assignment 3 |
| May 8 | Self-Attention, Graph Networks, Transformer | Lecture 12 | Assignment 2 due |
| May 13 | Vision Transformer | Lecture 13 | |
| May 15 | Generative Adversarial Networks | Lecture 14 | |
| May 20 | Conditional GAN and Variational Auto-Encoders | Lecture 15 | Assignment 4 |
| May 22 | Deep 3D Vision | Lecture 16 | Assignment 3 due |
| May 27 | Diffusion Models | Lecture 17 | |
| May 29 | Multi-Task, Adaptation, Transfer Learning | Lecture 18 | |
| June 3 | Self-supervised Learning | Lecture 19 |
| | June 5 | Neural Radiance Fields | Lecture 20 | Assignment 4 due
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