Computer Vision (Comp 776 Fall 2018)

Prof. Alex Berg

Location: Fred Brooks Hall 009

Time: Friday 1-3:30

(office hours before and after class as needed in FB 244, also email and gchat)




August 24, 2018 ---- Lecture 0 Intro+  [pdf] (updated links 9/21)
             For next class, please read Chapters 1 & 2 of Computer Vision: Algorithms and Applications by Szeliski.
August 31, 2018 ---- Lecture 1 Cameras & Photogrammetry   [pdf 1] [pdf 2]
             For next class, please read Chapter 6 (pages 83-99) of Computer Vision: Models, Learning, and Inference by Prince.
September 7, 2018 ---- Lecture 2 Machine Learning   [pdf]
September 14, 2018 ---- Hurricane Florence (There are many ways to support those affected. Will discuss make-up class at next lecture.)
September 21, 2018 ---- Lecture 3 Features   [pdf]
September 28, 2018 ---- Lecture 4 HW1 (please start before Oct 5)  [jpg]
October 1, 2018 ---- Discussion Section
October 3, 2018 ---- Discussion Section   [linefit.py][intro to pytorch tutorial]
October 5, 2018 --- Lecture 5 (whiteboard) what is involved in training a detector.HW 1 due October 12. See Chapter 6 from Szeliski Book for reference (I am present but not discernable in Figure 6.3).
October 12, 2018 --- Lecture 6 Learning filters October 19, 2018 --- Fall Break
October 26, 2018 --- Deep Network Structures[pdf] Try learning a filter in pytorch, and training a classifier on the cifar-10 dataset. Also checkout Mask-RCNN in pyTorch. And you may find the Google Collaboratory and this link about using pytorch there useful.
October 2, 2018 --- Discussion and projects Make sure to do the two self assignments above. Also there is some example code for backprop for linefitting here from a previous lecture