Weizmann Institute of Science20224171 Deep Learning for Computer Vision:Fundamentals and Applications |
||
Winter 2021/2 |
||
This schedule is preliminary and subject to change as the term evolves.
Lecture | Date | Topic | Instructor | Course Materials | Assignments |
Week 1 | |||||
1 | Mon 25/10/2021 | Introduction. Basics of ML | Assaf | slides (pdf) | a1 out |
TUT | Thu 28/10/2021 | Classification methods | Or | slides (pdf) | |
Week 2 | |||||
2 | Mon 1/11/2021 | Neural networks | Assaf | slides (pdf) | |
TUT | Wed 3/11/2021 @13:15 |
Intro to pytorch | Dolev | slides (pdf) | |
Week 3 | |||||
3 | Mon 8/11/2021 | Convolutional neural networks | Assaf | slides (pdf) |
a1 due a2 out |
TUT | 11/11/2021 | CNN architectures | Dror | slides (pdf) |
Week 4 | |||||
4 | Mon 15/11/2021 | Practical training | Shai | slides (pdf) | |
TUT | Thu 18/11/2021 | Advanced pytorch | Or | slides (pdf) |
|
Week 5 | |||||
5 | Mon 22/11/2021 | Visualizing and understanding neural networks | Tali | slides (pdf) | |
TUT | Thu 25/11/2021 | Adversarial examples | Niv | slides (pdf) |
|
Week 6 | |||||
6 | Mon 29/11/2021 | From Sequences to ViT | Shai | slides (pdf) |
a2 due a3 out |
TUT | Thu 2/12/2021 | From Sequences to ViT | Shir | slides (pdf) | |
Week 7 | |||||
7 | Mon 6/12/2021 | Detection and segmentation | Shai | slides (pdf) | |
TUT | Mon 9/12/2021 | Final project: What, how and when | Shai |
slides (pdf)
final project page |
|
Week 8 | |||||
8 | Mon 13/12/2021 | Generative Models | Assaf | ||
TUT | Thu 16/12/2021 | Detection and Segmentation | Dolev | slides (pdf) | |
Week 9 | |||||
9 | Mon 20/12/2021 | Self supervision | Tali | slides (pdf) |
Final project: technical milestone |
TUT | Thu 23/12/2021 | Variational auto encoders | Niv | slides (pdf) |
a3 due a4 out |
Week 10 | |||||
10 | Mon 27/12/2021 | Learning from videos | Tali | slides (pdf) | |
TUT | Thu 30/12/2021 | Deep Learning Practitioner's Toolbox | Shir | slides (pdf) | |
Week 11 | |||||
11 | Mon 3/1/2022 | Computer Graphics and Rendering | Meirav | ||
TUT | Thu 6/1/2022 | GPU fundamentals | Asher Fredman (Nvidia) |
slides (pdf)
further reading |
a4 due |
Week 12 | |||||
12 | Mon 10/1/2022 | Implicit 3D representations | Meirav | ||
TUT | Thu 13/1/2022 | Implicit representations | Dror | Final project proposal | |
Week 13 | |||||
13 | Mon 17/1/2022 | Theory (Guest lecture) | Ohad Shamir | ||
Week 14 | |||||
14 | Mon 24/1/2022 | Graph Neural Networks (Guest lecture) | Michael Bronstein | ||
- | Thu 27/1/2022 | Guest lecture | Alyosha Efros | ||
Exam period | |||||
- | Thu 7/2/2022 | Final project milestone | |||
- | Sun 13/3/2022 @ 14:00 |
Final project due | |||
- | Mon 14/3/2022 | Final projects expo |