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