| Week |
Wednesday |
Friday |
Homework |
|
Date
|
Topic
|
Date
|
Topic
|
|
Due Date
|
| 1 |
4/5
|
Introduction, geometry foundations
Guest lecturer: Olga Diamanti |
4/7
|
Geometry foundations (cont)
Guest lecturer: Olga Diamanti |
|
|
| 2 |
4/12
|
Intro to machine learning and graphical models
Instructor: Anastasia |
4/14
|
Shape descriptors, rigid shape registration
Instructor: Leo |
HW1 |
4/26 |
| 3 |
4/19
|
Shape segmentation and labeling
Instructor: Anastasia |
4/21
|
Shape similarity and retrieval, non-rigid registration
Instructor: Anastasia |
|
|
| 4 |
4/26
|
Co-registration, functional maps
Instructor: Anastasia |
4/28
|
Shape modelling
Instructor: Anastasia |
HW2 |
5/5 |
|
| 5 |
5/3
|
Shape reconstruction and synthesis
Instructor: Anastasia |
5/5
|
Intro to deep learning
Instructor: Charles Qi |
|
|
| 6 |
5/10
|
Deepnet for multi-view data
Instructor: Hao Su |
5/12
|
Deepnet for volumetric data
Instructor: Hao Su |
|
|
| 7 |
5/17
|
Deepnet for point cloud data
Instructor: Hao Su |
5/19
|
Scene Analysis
Instructor: Anastasia |
|
|
| 8 |
5/24
|
Deepnet for graph CNN
Instructor: Eric Yi |
5/26
|
3D deep learning on point cloud representation (analysis)
Instructor: Hao |
|
|
| 9 |
5/31
|
Persistent homology for shape analysis
Instructor: Leo |
6/2
|
3D deep learning on point cloud (analysis) and Joint Emebedding
Intructor: Hao |
|
|
| 10 |
6/7
|
Project presentations |
|
|
|
|