UCSD ECE 285: Introduction to Visual Learning (Spring 2023)
Date | Lecture | Materials | Assignments |
Apr 4 | Introduction to Visual Learning | Lecture 1 | |
Apr 6 | Image Classification: K-NN and Linear Classifier | Lecture 2 | |
Apr 11 | Multi-Layer Perceptrons and Back-Propagation | Lecture 3 | Assignment 1 |
Apr 13 | Convolutional Neural Networks 1 | Lecture 4 | |
Apr 18 | Convolutional Neural Networks 2 | Lecture 5 | |
Apr 20 | Tutorial on Pytorch | Tutorial Notebook | Assignment 2 |
Apr 25 | Image Segmentation and Visualization | Lecture 7 | Assignment 1 due |
Apr 27 | Object Detection | Lecture 8 | |
May 2 | Recurrent Neural Networks | Lecture 9 | |
May 4 | Video Recognition | Lecture 10 | Project Proposal Due |
May 9 | Video Prediction | Lecture 11 | Assignment 3 |
May 11 | Self-Attention, Graph Networks, Transformer | Lecture 12 | Assignment 2 due |
May 16 | Vision Transformer | Lecture 13 | |
May 18 | Generative Adversarial Networks | Lecture 14 | |
May 23 | Conditional GAN and Variational Auto-Encoders | Lecture 15 | Assignment 4 |
May 25 | Deep 3D Vision | Lecture 16 | Assignment 3 due |
May 30 | Few-Shot and Zero-Shot Learning | Lecture 17 | |
June 1 | Multi-Task, Adaptation, Transfer | Lecture 18 | |
June 6 | Self-Supervised Visual Representation Learning (Guest Lecture: Xinlei Chen) | Lecture 19 |
| June 8 | Contrastive Learning | Lecture 20 | Assignment 4 due
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