Fall 2019 Course Information for Fall 2019
Time: MWF A 10:00-10:50, B 11:00-11:50
Place: Davis 117
Instructor Information
Prof. Bruce A. Maxwell
Office: Davis 112
Office hours: M 10pm-late, R 9:00pm-late
Any time my door is open
Course Description
An in-depth study of how to enable computers to perceive the world using cameras, microphones, depth sensors, and other modalities. Topics will include recognizing speech, objects, faces, actions, and other selected categories using a variety of methods, with a focus on machine learning and deep networks. Each week students will prepare written summaries and critiques of technical papers in perception and computer vision to be discussed in class. Students will also work in groups to complete a set of projects that implement different types of systems for computer perception, including a final project of their choice.
Textbooks
Primarily CVPR, TPAMI, and IJCV papers.
Useful Links
- Weekly papers and readings
- Guidelines for paper summaries
- Makefile Tutorial
- CVS Tutorial
- C Programming Notes, by Steve Summit
- Keras Deep Learning Library
- OpenCV Computer Vision Library
- The Computer Vision Foundation (paper archive)
- CV Papers - Computer Vision Resource
- CVonline: The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer Vision
- Python SpeechRecognition package
- The Ultimate Guide to Speech Recognition with Python
- CMU Sphinx: Basic concepts of speech recognition