CS4501: Introduction to Computer Vision | Spring 2021
|Tue, Feb 2nd||Introduction to Computer Vision|
|Thu, Feb 4th||Cameras and Image Formation|
|Tue, Feb 9th||Projective Geometry and Light|
|Assignment 1: Image Formation, Image Processing, and Image Filtering.|
|Thu, Feb 11th||Human Vision and Image Processing|
|Tue, Feb 16th||Image Filtering and Image Frequencies|
|Thu, Feb 18th||Frequencies and Edges|
|Assignment 2: Detecting Corners and Lines, Hough Transform.|
|Tue, Feb 23th||Interest Points: Corners and Blobs|
|Thu, Feb 25th||SIFT Feature and Hough Transform|
|Tue, Mar 2nd||Camera Calibration and Dense Stereo|
|Assignment 3: Dense Stereo and Depth Estimation|
|Thu, Mar 4th||Epipolar Geometry: The Essential Matrix|
|Tue, Mar 9th||No Class -- Spring Break Day|
|Thu, Mar 11th||Structure from Motion and Multi-view Geometry|
|Assignment 4: Image Classification and Machine Learning|
|Tue, Mar 16th||Midterm Exam|
|Thu, Mar 18th||Introduction to Machine Learning|
|Tue, Mar 23th||Linear Classifiers (Softmax) and Stochastic Gradient Descent|
|Assignment 5: Image Segmentation and other more advanced topics|
|Thu, Mar 25th||Stochastic Gradient Descent, Regularization, and Optmization|
|Tue, Mar 30th||Neural Networks and Backpropagation|
|Thu, Apr 1st||Convolutional Neural Networks|
|Tue, Apr 6th||Convolutional Neural Networks for Image Classification|
|Thu, Apr 8th||Convolutional Neural Networks for Image Segmentation|
|Tue, Apr 13th||Convolutional Neural Networks for Object Detection|
|Thu, Apr 15th||No Class - Spring Break Day|
|Tue, Apr 20th||Generative Adversarial Networks (GANs)|
|Thu, Apr 22th||Optical Flow and Video Recognition|
|Tue, Apr 27th||Computer Vision Applications Review Session I|
|Thu, Apr 29th||Computer Vision Applications Review Session II|
|Tue, May 4th||Computer Vision Applications Review Session III|
|Tue, May 6th||Course Recap|
Disclaimer: The professor reserves to right to make changes to the syllabus, including assignment due dates. These changes will be announced as early as possible.
Grading: To be announced officially on first day of class.
Late Submission Policy: Generally, no late assignments will be accepted in this class. Unless the student has procured special accommodations for warranted circumstances. We acknowledge the ongoing pandemic and want to be mindful of any special circumstances associated with it. We will be accommodating also due to exceptional circumstances but this is a large class so please make sure this is truly warranted and contact us as soon as possible.
Recording of Lectures: I will be recording every lecture in order to accommodate students who will be learning remotely -- however there might be small discussions pre and post-lecture which might not be recorded -- if these take place they are not considered essential and they will be communicated through other means (e.g. email or UVA Collab). Because lectures include fellow students, you and they may be personally identifiable on the recordings. We might set aside some time at the end for questions that will not be recorded -- this will be announced when it takes place. These recordings may only be used for the purpose of individual or group study with other students enrolled in this class during this semester. You may not distribute them in whole or in part through any other platform or to any persons outside of this class, nor may you make your own recordings of this class unless written permission has been obtained from the Instructor and all participants in the class have been informed that recording will occur. If you want additional details on this, please see Provost Policy 008 and follow-up guidelines. If you notice that I have failed to activate the recording feature, please remind me!
Academic Integrity Statement: "The School of Engineering and Applied Science relies upon and cherishes its community of trust. We firmly endorse, uphold, and embrace the University’s Honor principle that students will not lie, cheat, or steal, nor shall they tolerate those who do. We recognize that even one honor infraction can destroy an exemplary reputation that has taken years to build. Acting in a manner consistent with the principles of honor will benefit every member of the community both while enrolled in the Engineering School and in the future. Students are expected to be familiar with the university honor code, including the section on academic fraud." In summary, if assignments are individual then no two students should submit the same source code -- any overlap in source code of sufficient similarity will be potentially flagged as failure to abide to the Honor Code. You can discuss, you can share resources, you can talk about the assignment but not share code as this would potentially incur on an honor code violation. Regardless of circumstances I will assume that any source code, text, or images submitted alongside reports or projects are of the authorship of the individual students unless otherwise explicitly stated through appropriate means. Any missing information regarding sources will be regarded potentially as a failure to abide by the academic integrity statement even if that was not the intent. Please be careful clearly stating what is your original work and what is not in all assignments.
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Anti-racism commitment: I acknowledge that racism and white supremacy are baked into the history of UVA as an institution. I believe that my pedagogical philosophies and practices can either reinforce inequities or work to eliminate them. I am committed and actively working to be a better, more careful listener; continuing to learn about the ways systemic injustices disadvantage Black students and colleagues and other students and colleagues of color in and out of the classroom; and advocating for and implementing anti-racist educational practices. I will hold myself accountable, encourage you to help me do so, and invite you to join me in this work.
Accessibility Statement: "The University of Virginia strives to provide accessibility to all students. If you require an accommodation to fully access this course, please contact the Student Disability Access Center (SDAC) at (434) 243-5180 or firstname.lastname@example.org. If you are unsure if you require an accommodation, or to learn more about their services, you may contact the SDAC at the number above or by visiting their website at https://www.studenthealth.virginia.edu/student-disability-access-center/about-sdac." If you need any specific accommodations in the format of the lectures, videos, etc, please communicate it to the instructor as soon as possible.