Machine Learning for 3D Data
CSE291I00  Winter 2018
Schedule and assignments
Date

Title

Topic

1/9

Introduction  overview of the course, logistics, introduction to deep learning 
1/11

Deep Learning (Basics)  continue the introduction to deep learning, handson tutorial on deep learning frameworks. Readings: AlexNet, VGGNet, ResNet, Batch Normalization, Matrix calculus 
1/13

Assignment 1  due: Jan 23th, 2018 
1/16

Deep Learning (Advanced I)  visualization, matrix calculus, optimization, generalizability solution and explanation to the quiz in class 
1/18

Deep Learning (Advanced II)  a glimpse of recent progress in deep learning theory Readings: Hessian of Networks, Langevin Dynamics of SGD, Norm, Sharpness, PACBayesian, Regularization, Generalization 
1/23

Geometry Foundations  various 3d representations, basics of differential geometry Readings: Polygon Mesh Processing 
1/25

Geometry Foundations II  curve, surface, geometry processing 
1/30

Deep Learning for Point Clouds  Earth Mover's Distance, point cloud generation network 
2/1

Deep Learning for Point Clouds, Embedding  point cloud generation network, embedding theorems, MDS, homotopy 
2/4

Assignment 2  due: Feb 13th, 2018 
2/6

Deep Learning for Point Clouds, 3D Detection  pointnet series 
2/8

3D Parameteric Models  3d parameteric models, shape editing, asrigidaspossible, body and face modeling 
2/13

Recursive Neural Networks  Guest lecture by Prof. Garrison Cottrell 
2/15

Deep Learning on Multiview Representation  multiview CNN, multiview segmentation, multiview reconstruction, novelview synthesis 
2/20

Deep Learning on Volumetric Representation  3d cnns, view consistency 
2/21

Assignment 3  due: Mar 7th, 2018 
2/22

3D GANs  3D GANs 
2/25

Project Proposal  due: Mar 1st, 2018 
2/27

Graph Laplacian  Basic theory and algorithms of graph laplacian, algebraic connectivity 
3/1

Graph Laplacian  continue the last lecture 
3/6

Intrinsics, Isometric Matching  Intrinsics, shape correspondence, LaplaceBertrami operator, heat kernal signature 
3/8

Functional Map  functional map 
3/13

Cycle consistency  map network view of data, enforcing consistency among data by cycle constraint 
3/15

Deep Learning on Graphs  deep learning on graphs 
3/15

Assignment 4  due: Mar 20th, 2018 