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