CS1674/2074: Introduction to Computer Vision, Fall 2024

Location (class): Cathedral 229
Class time: Tuesday and Thrusday, 11:00am - 12:15pm
Instructor: Nils Murrugarra (email: nem177 AT pitt DOT edu; use “CS1674” at the beginning of the subject line)
Instructor’s office hours: Tuesday and Wednesday, 9am-11am
Instructor’s office: Sennott Square 5419
TA: Arushi Rai (email: arr159 AT pitt DOT edu; use “CS1674” at the beginning of the subject line)
TA’s office hours: Friday, 2:00pm - 5:00pm
TA’s office: Sennott Square 5404
Canvas: used for announcements and assignment submission

Schedule

Date	Chapter	Slides	Homework
08/27	Intro	Intro_course [pdf] [pptx] Linear_algebra [pdf] [pptx]
08/29		Linear_algebra Python tutorial	A1 on canvas
09/03	Low-level Vision	Intro_cv [pdf] [pptx] Filters and Texture [pdf] [pptx]
09/05		Filters and Texture
09/10		Filters and Texture Features [pdf] [pptx]	A2 on canvas
09/12		Features
09/17		Features
09/19		Features	A3 on canvas
09/24		Grouping [pdf] [pptx]
09/26		Grouping	A4 on canvas
10/01		Grouping
10/03		Exam 1 Review	A5 on canvas
10/08	High-level Vision	Intro to Recognition [pdf] [pptx]
10/10		Exam 1
10/15		No class: Fall Break
10/17		Intro to Recognition
10/22		Intro to Recognition	A6 on canvas
10/24		Convolutional Neural Networks [pdf] [pptx]
10/29		Convolutional Neural Networks
10/31		Convolutional Neural Networks	A7 on canvas
11/05		Object Recognition and Image Segmentation [pdf] [pptx]
11/07		Project Development
11/12		Object Recognition and Image Segmentation
11/14		Object Recognition and Image Segmentation Sequential Data [pdf] [pptx]	A8 on canvas
11/19		Sequential Data
11/21		Sequential Data
11/26		No class: Thanksgiving
11/28		No class: Thanksgiving
12/03		Exam 2 Review
12/05		Exam 2
12/12		Kaggle/Project Presentations