Computer Vision - CMPT 412 & 762, Fall 2023

Course Schedule

Dates	Tuesdays (1:30 - 2:20)	Thursdays (12:30 - 2:20)	Assignments
9/5 & 9/7	Break	Introduction
9/12 & 9/14	Neural networks	Convolutional neural networks (CNNs)
9/19 & 9/21	Training CNNs	Classical approach (features)	Assig. 1 due (9/24)
9/26 & 9/28	Classical approach (bag of words)	Detection CNNs
10/3 & 10/5	Segmentation CNNs	Segmentation CNNs	Assig. 2 due (10/8)
10/10 & 10/12	Break	Metric learning techniques
10/17 & 10/19	CNN applications	CNN applications
10/24 & 10/26	RNN and GNN	Transformer and GAN
10/31 & 11/2	Self-supervised learning	Camera models review	Assig. 3 due (11/8)
11/7 & 11/9	Two-view geometry fundamental matrix song	Two-view geometry fundamental matrix song
11/14 & 11/16	Stereo	Structure from Motion/SLAM
11/21 & 11/23	Multi-View Stereo (MVS)	Learning-based MVS
11/28 & 11/30	Neural-volume rendering & Diffusion models...?
12/5 & 12/7	Backup...	Break	Assig. 4 due (12/5)