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MIT CSAIL6.819/6.869: Advances in Computer Vision |
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Spring 2021 |
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This schedule is preliminary and subject to change as the term evolves.
Course notes: https://groups.csail.mit.edu/vision/cvbook/
| Lecture | Date | Topic | Instructor | Course Materials | Assignments |
| Week 1 | |||||
| 1 | Wed 02/17/2021 | Introduction. Simple Vision Systems | Phillip |
slides (keynote)
slides (pdf) admin slides notes: 2."Simple Vision System" |
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| Week 2 | |||||
| 2 | Mon 02/22/2021 | Describing the Signal: pinhole, computational, and corner cameras. | Bill |
slides (keynote)
slides (pptx) slides (pdf) bill_intro (keynote) bill_intro (pdf) notes: 4."Imaging" |
pset1 out
FAQ pset1 solution |
| 3 | Wed 02/24/2021 | Geometry, Stereo, Intrinsic-Extrinsic Camera Parameters. | Bill |
slides (keynote)
slides (pptx) slides (pdf) notes: 5."Stereo" |
|
| TUT | Thu 02/25/2021 | Python Tutorial (16:00-18:00 ET) | Toru | materials (download folder, unzip, upload folder to GDrive) | |
| TUT | Fri 02/26/2021 | Python Tutorial (10:30-12:30 ET) | Wei-Chiu | materials (download folder, unzip, upload folder to GDrive) | |
| Week 3 | |||||
| 4 | Mon 03/01/2021 | Signal Processing | Antonio |
slides (keynote)
slides (pdf) notes: 12."Linear Image Filtering" 13."Fourier Analysis" |
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| 5 | Wed 03/03/2021 | Spatial Linear Filters | Bill |
slides (keynote)
slides (pdf) slides (pptx) notes: 15. "Blur Filters" 16. "Image Derivatives" |
pset1 due
pset2 out FAQ pset2 solution |
| Week 4 | |||||
| 6 | Tue 03/09/2021 | Temporal Linear Filters | Bill |
slides (keynote)
slides (pdf) slides (pptx) notes: 23. "Temporal Filters" |
|
| 7 | Wed 03/10/2021 | Multi-Scale Pyramids | Bill |
slides (keynote)
slides (pdf) slides (pptx) notes: 20. "Image Pyramids" |
pset2 due
pset3 out FAQ pset3 solution |
| Week 5 | |||||
| 8 | Mon 03/15/2021 | Introduction to Machine Learning | Phillip |
slides (keynote)
slides (pdf) notes: 7. "Learning from Examples" 8. "The Problem of Generalization" |
|
| 9 | Wed 03/17/2021 | Neural Networks | Phillip |
slides (keynote)
slides (pdf) notes: 9. "Neural Nets" Please also check the "Notation" chapter, since neural net notation gets confusing fast! |
pset3 due |
| TUT | Wed 03/17/2021 | Pytorch Tutorial (15:00-17:00 ET) | Yen-Chen | Google Colab | |
| TUT | Fri 03/19/2021 | Pytorch Tutorial (10:00-12:00 ET) | Shawn | Google Colab | |
| Week 6 | |||||
| 10 | Wed 03/24/2021 | Spatial NNs, CNNs | Phillip |
slides (keynote)
slides (pdf) notes: 21. "Convolutional Neural Networks" |
pset4 out FAQ pset4 solution |
| Week 7 | |||||
| 11 | Mon 03/29/2021 | Stochastic Gradient Descent, Back Propogation | Phillip |
slides (keynote)
slides (pdf) notes: 11. "Backpropagation" |
|
| 12 | Wed 03/31/2021 | Mechanisms of training and running networks | Phillip |
slides (keynote)
slides (pdf) |
pset4 due
Miniplaces Challenge Part 1 out FAQ |
| TUT | Fri 04/02/2021 | AWS Tutorial (19:00-21:00 ET) | Steven | ||
| Week 8 | |||||
| 13 | Mon 04/05/2021 | Temporal NNs, RNNs, LSTMs, Attention | Phillip |
slides (keynote)
slides (pdf) |
|
| TUT | Mon 04/05/2021 | AWS Tutorial (17:00-19:00 ET) | Eric | ||
| 14 | Wed 04/07/2021 | Representation Learning | Phillip |
slides (keynote)
slides (pdf) notes: 33. "Transfer Learning" |
Miniplaces Challenge Part 1 due |
| Week 9 | |||||
| 15 | Mon 04/12/2021 | Scene Understanding | Phillip |
slides (keynote)
slides (pdf) notes: 34. "Object Recognition" |
Final project proposal due
Miniplaces Challenge Part 2 out FAQ |
| 16 | Wed 04/14/2021 | Vision for Embodied Agents | Phillip |
slides (keynote)
slides (pdf) notes: 35. "Intelligent Agents" |
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| Week 10 | |||||
| 17 | Wed 04/21/2021 | Statistical Models for Images, Texture | Bill |
slides (keynote)
slides (pptx) slides (pdf) notes: 27. "Statistical Image Models" |
pset5 out
|
| Fri 04/23/2021 |
Miniplaces Challenge Part 2 due
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| Week 11 | |||||
| 18 | Mon 04/26/2021 | Image Synthesis: structured prediction, generative models, GANs, autoregressive models | Phillip |
slides (keynote)
slides (pdf) notes: 31. "Generative Models" |
|
| 19 | Wed 04/28/2021 | Probabilistic Graphical Models | Bill |
slides (keynote)
slides (pptx) slides (pdf) notes: 28. "Probabilistic Graphical Models" 280. "Inference in Graphical Models" |
pset5 due
pset6 out |
| Week 12 | |||||
| 20 | Mon 05/03/2021 | EHT and Image Priors | Bill |
slides (keynote)
slides (pptx) slides (pdf) |
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| 21 | Wed 05/05/2021 | Fairness / ethics in CV | Olga Russakovsky (Princeton) | pset6 due | |
| Week 13 | |||||
| 22 | Mon 05/10/2021 | How to do research; How to write papers; How to give talks | Bill, Phillip |
Bill's slides (keynote)
Bill's slides (pptx) Bill's slides (pdf) Phillip's slides (keynote) Phillip's slides (pdf) |
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| 23 | Wed 05/12/2021 | Datasets, curation, biases and domain adaptation | Phillip |
slides (keynote)
slides (pdf) |
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| Week 14 | |||||
| 24 | Mon 05/17/2021 | Invited talk | Geoff Hinton (U. Toronto) | ||
| 25 | Wed 05/19/2021 | Final Project Presentations | |||
| Thu 05/20/2021 | Final Project Writeup due | ||||