September 14
                    
Lecture 1: Course Introduction
                    
Lecture 2: kNN classifier
September 21
                    
Finish lecture 2
                    
Lecture 3: Computer Vision Concepts
and
                    
Lecture 4: Image Representation
September 28
                    
Finish Lecture 4 and
                    
Lecture 5: Cross Validation
                    
Lecture 6: High Dimensionality
October 5
                    
                    
Paper Discussion:
                    
"Video Google: A Text Retrieval Approach to Object Matching in Videos"
Project demo
                    
"Scene Completion Using Millions of Photographs"
Project web site
October 12
                    
Lecture 7: Linear
and generalized liner classifier
October 19
                    
Lecture 8: Support Vector Machines
October 26
                    
Lecture 9: Boosting
November 2
                    
Finish Lecture 9 and
                    
Paper Discussion:
                    
"Histograms of Oriented Gradients for Human Detection"
November 9
                    
Paper Discussion:
                    
"Rapid Object Detection using a Boosted Cascade of Simple Features"
                    
Lecture 10: Neural Networks
November 16
                    
Continue Lecture 10
November 23
                    
Lecture 10: Deep Neural Networks
November 30
                    
Finish Lecture 10 and
                    
Paper Discussion:
                    
"Fast R-CNN"
December 6
                    
Student Paper Presentations from 9:30-11:30 in MC320
December 7
                    
Student Paper Presentations from 10:30-12:30 in MC320
January 11
                    
Student Paper Presentations from 10:30-12:30 in MC300
January 17
                    
Student Paper Presentations from 9:30-12:30 in MC300