Carnegie Mellon University16-824 Visual Learning and Recognition |
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Fall 2021 |
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This schedule is preliminary and subject to change as the term evolves.
Date | Topics | Course Materials | Instructor | Deadlines | |
Week 1 | |||||
Lecture 1 Tuesday 08/31/21 |
Introduction | Slides [CMU only] Recording [CMU only] No Readings |
Jun-Yan | ||
Lecture 2 Thursday 09/02/21 |
Theories and History I | Slides [CMU only] Recording [CMU only] Optional Readings: #1: Lecture 1, 2 (Svetlana Lazebnik's course) #2: William T. Freeman et.al. |
Jun-Yan | ||
Week 2 | |||||
Lecture 3 Tuesday 09/07/21 |
Theories and History II | Slides [CMU only] Recording [CMU only] Optional Readings: Lecture 3, 4 (Svetlana Lazebnik's course) |
Jun-Yan | ||
Lecture 4 Thursday 09/09/21 |
Introduction to Data | Slides [CMU only] Recording [CMU only] Readings: #1: Alon Halevy, Peter Norvig, Fernando Pereira #2: Antonio Torralba, Alexei A. Efros #3: Timnit Gebru et.al. |
Jun-Yan | ||
Week 3 | |||||
Lecture 5 Tuesday 09/14/21 |
Neural Networks | Slides [CMU only] Readings: #1: Backpropagation: Olah and 231n #2: Alex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton |
Jun-Yan | ||
Lecture 6 Thursday 09/16/21 |
Convolutional Neural Network | Slides [CMU only] Readings: #1: Karen Simonyan, Andrew Zisserman #2: Kaiming He et.al. |
Jun-Yan | ||
Week 4 | |||||
Bonus Lecture Monday 09/20/21 |
AWS/GCP and PyTorch Tutorial | AWS/GCP Tutorial[CMU only] Pytorch Tutorial[CMU only] |
TAs | HW1 out | |
Lecture 7 Tuesday 09/21/21 |
Recipes for Training Deep Networks | Slides [CMU only] Readings: #1: Diederik P. Kingma, Jimmy Ba #2: Gao Huang, Zhuang Liu, et al. |
Jun-Yan | ||
Lecture 8 Thursday 09/23/21 |
Visualizing and Understanding Neural Nets | Slides [CMU only] Readings: #1: Aravindh Mahendran, Andrea Vedaldi #2: David Bau, Bolei Zhou, et al. #3: Olah et al. |
Jun-Yan | ||
Week 5 | |||||
Lecture 9 Tuesday 09/28/21 |
Attention and Transformers | Slides [CMU only] Readings: #1: Ashish Vaswani et al. #2: Alexey Dosovitskiy et al. Optional Readings: #1: Sepp Hochreiter, et al #2: Thomas N. Kipf, Max Welling #3: Xiaolong Wang et al. |
Jun-Yan | ||
Lecture 10 Thursday 09/30/21 |
Image Segmentation | Slides [CMU only] Readings: #1: Jonathan Long, Evan Shelhamer, Trevor Darrell #2: Kaiming He et al. #3: Olaf Ronneberger et al. |
Jun-Yan | ||
Week 6 | |||||
Lecture 11 Tuesday 10/05/21 |
Object Detection | Slides [CMU only] Readings: #1: Pedro F Felzenszwalb et.al. #2: Ross Girshick et.al. #3: Joseph Redmon et al. |
Jun-Yan | HW1 due HW2 out |
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Lecture 12 Thursday 10/07/21 |
3D Image Understanding I | Slides [CMU only] Readings: #1: Derek Hoiem, Alexei A. Efros, Martial Hebert #2: David Eigen, Rob Fergus #3: Georgia Gkioxari, Jitendra Malik, Justin Johnson |
Jun-Yan | ||
Week 7 | |||||
Lecture 13 Tuesday 10/12/21 |
3D Image Understanding II | Slides [CMU only] Readings: #1: Charles R. Qi*, Hao Su* et al. #2: Yue Wang et al. #3: Jeong Joon Park et al. |
Jun-Yan | Project Proposal Due | |
Lecture 14 Thursday 10/14/21 |
Mid-Semester Break; No Classes | ||||
Week 8 | |||||
Lecture 15 Tuesday 10/19/21 |
Generative Models I | Slides [CMU only] Readings: #1: Alec Radford, Luke Metz, Soumith Chintala #2: Diederik P Kingma, Max Welling #3: Diederik P. Kingma, Prafulla Dhariwal |
Jun-Yan | ||
Lecture 16 Thursday 10/21/21 |
Generative Models II | Slides [CMU only] Readings: #1: Joshua B. Tenenbaum, William T. Freeman #2: Aditya Ramesh et al. #3: Phillip Isola et al. |
Jun-Yan | ||
Week 9 | |||||
Lecture 17 Tuesday 10/26/21 |
Guest Lecture (NeRF, view synthesis) | Slides [CMU only] Optional Readings: #1: Shenchang Eric Chen #2: Ben Mildenhall, Pratul P. Srinivasan, Matthew Tancik, et al. #3: Jonathan T. Barron et al. |
Pratul Srinivasan (Google) | HW2 due HW3 out |
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Lecture 18 Thursday 10/28/21 |
Action Recognition and Videos | Slides [CMU only] Readings: #1: Karen Simonyan, Andrew Zisserman #2: Du Tran et al. #3: Joao Carreira, Andrew Zisserman |
Jun-Yan | ||
Week 10 | |||||
Lecture 19 Tuesday 11/02/21 |
Transfer Learning | Slides [CMU only] Readings: #1: Jeff Donahue et al. #2: Eric Tzeng et al. #3: Chelsea Finn et al. |
Jun-Yan | ||
Lecture 20 Thursday 11/04/21 |
Self-supervised Learning I | Slides [CMU only] Readings: #1: Deepak Pathak et al. #2: Richard Zhang et al. #3: Jeff Donahue, Karen Simonyan |
Jun-Yan | ||
Week 11 | |||||
Lecture 21 Tuesday 11/09/21 |
Self-supervised Learning II | Slides [CMU only] Readings: #1: Ting Chen et al. #2: Kaiming He et al. #3: Aaron van den Oord, Yazhe Li, Oriol Vinyals |
Jun-Yan | ||
Lecture 22 Thursday 11/11/21 |
Vision and Language | Slides [CMU only] Readings: #1: Kelvin Xu et al. #2: Stanislaw Antol*, Aishwarya Agrawal*, et al. #3: Ethan Perez et al. |
Jun-Yan | ||
Week 12 | |||||
Lecture 23 Tuesday 11/16/21 |
Sound/Touch and Vision | Slides [CMU only] Readings: #1: Andrew Owens et al. #2: Hang Zhao et al. #3: Roberto Calandra et al. |
Jun-Yan | ||
Lecture 24 Thursday 11/18/21 |
Guest Lecture (contrastive learning, transformers) | Slides [CMU only] Optional Readings: #1: Kaiming He et al. #2: Xinlei Chen et al. #3: Xinlei Chen et al. #4: Kaiming He et al. |
Xinlei Chen (FAIR) | ||
Week 13 | |||||
Lecture 25 Tuesday 11/23/21 |
Conclusion and Summary | Slides No Readings |
Jun-Yan | HW3 due | |
Lecture 26 Thursday 11/25/21 |
Thanksgiving holidays. No classes. | ||||
Week 14 | |||||
Lecture 27 Tuesday 11/30/21 |
Course Project Presentation I | Students | |||
Lecture 28 Thursday 12/02/21 |
Course Project Presentation II | Students | Final Project Due (Dec 09 2021) |