EE P 596 Lecture Notes: AUTUMN 2019

Date Lecture Notes in PPT Lecture Notes in PDF Readings
Oct 1
Intro
Intro
S&S Ch. 1

Filters;
ink;
Filters
Shapiro & Stockman 5.4-5.5, Szeliski 3.2, 3.3.1

Binary Vision;
ink;
Binary Vision
S&S Ch. 3
HW1 Slides
HW1 Slides
Oct 8
Edges and Lines;
ink
Edges and Lines
Shapiro & Stockman 5.6-8 and 10.3.4, Szeliski 4.2.1
Color, Texture, and Segmentation; ink Color, Texture, and Segmentation
Shapiro & Stockman Ch 6, 7, and 10.1
Oct 15
Interest Operators; ink Interest Operators Szeliski 4.1.1, Harris Paper, SIFT paper
Descriptors 1; ink Descriptors 1 Szeliski 4.1.2-4.1.3
Descriptors 2 Descriptors 2
HW2 Slides HW2 Slides
Oct 22
Review; ink
Review
Transformations; ink Transformations

Image Stitching 1 ; ink Image Stitching 1
Szeliski 6.1
Image Stitching 2 ; ink Image Stitching 2
October 29
Kadir Salient Regions ; ink; Kadir Salient Regions
Kadir Paper
Fergus Slides; ink Fergus Slides
Fergus paper Pascal Challenge
CBIR Slides; ink CBIR Slides
S&S Ch. 8
HW3 Slides; ink HW3 Slides
Nov 5 Learning 1; ink Learning 1 Related to S&S Chapter 4
Learning 2; ink Learning 2 Related to S&S Chapter 4
Nov 12 Object Recognition 1 ; ink Object Recognition 1
Rio paper; EM Classifier paper; Generative/Discriminative Paper
Object Recognition 2 ; ink
Object Recognition 2
Girshick paper; YOLO paper
HW 4 Slides HW 4 Slides
Nov 19 CNNs-ESPNet; Pytorch; GANs ESPNet ECCV Paper; ESPNet CVPR Paper;PyTorch Tutorial
Nov 26 Face Detection and Recognition; ink Face Detection and Recognition
Eigenfaces Paper
Motion Optical Flow; ink Motion Optical Flow
S&S Ch. 9 (9.1-9.3); Bergen paper ; Ming Ye's paper
Stereo; ink Stereo
S&S Ch. 12; S&S Ch. 13
3D Reconstruction; ink 3D Reconstruction