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UCSD ECE 285: Introduction to Visual Learning (Spring 2022)
| Date | Lecture | Materials | Assignments |
| Mar 29 | Introduction to Visual Learning | Lecture 1 | |
| Mar 31 | Image Classification: K-NN and Linear Classifier | Lecture 2 | |
| Apr 5 | Multi-Layer Perceptrons and Back-Propagation | Lecture 3 | Assignment 1 |
| Apr 7 | Convolutional Neural Networks 1 | Lecture 4 | |
| Apr 12 | Convolutional Neural Networks 2 | Lecture 5 | |
| Apr 14 | Tutorial on Pytorch | Tutorial Notebooks | |
| Apr 19 | Image Segmentation and Visualization | Lecture 7 | Assignment 2 |
| Apr 21 | Object Detection | Lecture 8 | |
| Apr 26 | Recurrent Neural Networks | Lecture 9 | |
| Apr 28 | Video Recognition | Lecture 10 | Project Proposal Due |
| May 3 | Video Prediction | Lecture 11 | Assignment 3 |
| May 5 | Self-Attention, Graph Networks, Transformer | Lecture 12 | |
| May 10 | Vision Transformer | Lecture 13 | |
| May 12 | Generative Adversarial Networks | Lecture 14 | |
| May 17 | Conditional GAN and Variational Auto-Encoders | Lecture 15 | Assignment 4 |
| May 19 | Deep 3D Vision | Lecture 16 | |
| May 24 | Few-Shot and Zero-Shot Learning | Lecture 17 | |
| May 26 | Multi-Task, Adaptation, Transfer | Lecture 18 | |
| May 31 | Self-Supervised Visual Representation Learning | Lecture 19 |
| | June 2 | Contrastive Learning | Lecture 20 | Final project due
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