Schedule



August

13-17  Overview / Basic Concepts /DL
20-24  Learning From Data
27-31  Image Collections / Digital Images

September

03-**  Filters / Classical Basis
10-14  Image Analysis and Features / RANSAC
17-21  Representation Learning  / ConvNets
24-28  Generative Models / GANS 

October

01-05  Multiscale / Wavelets
08-**  Edge-Aware Filters
15-19  CNN Architectures 
22-26  Segmentation / Graph Cuts

November

29-**  Localization / Detection
05-09  Applications 
12-16  Project Discussions
19-23  Color Theory / Visual Perception 
26-30  Project Pesentations