CS2770: Computer Vision, Spring 2026
Location (class): SENSQ 5313
Class time: Monday and Wednesday, 9:30am - 10:45am
Instructor: Nils Murrugarra (email: nem177 AT pitt DOT edu; use “[CS 2770]” at the beginning of the subject line)
Instructor’s student hours: Mon 2pm - 3:30pm and Thu 11am-12:30pm
Instructor’s office: Sennott Square 5419
TA: Haoqing Yang ( hay149 AT pitt DOT edu )
TA’s student hours: Tue 3-4pm @ SENSQ 6514 and Wed 2-4pm @ zoom
Canvas: used for announcements and assignment submission
Schedule
| Date | Chapter | Slides | Homework |
|---|---|---|---|
| 01/12 | Intro | Intro_course [pdf] [pptx] Supp: Linear_algebra [pdf] [pptx] |
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| 01/14 | Intro_cv [pdf] [pptx] Lab 1: Image Manipulation |
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| 01/19 | No Class | ||
| 01/21 | Foundations | Neural Networks [pdf] [pptx] Lab 2: Pytorch |
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| 01/26 | Neural Networks | ||
| 01/28 | Neural Networks (Optional) Lab 3: Regularization Lab 4: Gradient Descent |
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| 02/02 | Neural Networks Tutorial Pitt CRC [pdf] Convolutional Neural Networks [pdf] [pptx] |
A1: CNNs on canvas Team Signup |
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| 02/04 | Convolutional Neural Networks Lab 5: CNN |
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| 02/09 | Convolutional Neural Networks Lab 6: Modern ConvNets |
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| 02/11 | High-level Vision | Sequences and Transformers [pdf] [pptx] | |
| 02/16 | Sequences and Transformers Lab 7: Transformers |
A2: Visual-Question Answering and Zero-shot classification on canvas | |
| 02/18 | Sequences and Transformers | ||
| 02/23 | Object Recognition and Image Segmentation [pdf] [pptx] | ||
| 02/25 | Object Recognition and Image Segmentation Lab 8: Fine-Tuning Mask R-CNN |
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| 03/02 | Quiz 1 Project Proposal Presentations |
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| 03/04 | Paper Presentations | ||
| 03/09 | Spring Break: No Class | ||
| 03/11 | Spring Break: No Class |