HEAD> CS598F: Advanced Topics in Computer Science: Deep Learning for Graphics and Vision
 
Princeton University
Computer Science Dept.

Computer Science 598F
Advanced Topics in Computer Science:
Deep Learning for Graphics and Vision

Spring 2017


General Information:

Time: Fridays 1:30-3:50PM
Place: CS 302
Instructor: Thomas Funkhouser
Piazza: web page

This course will survey recent research related to use of deep learning in computer graphics and computer vision. The course will operate as a graduate-level seminar with weekly readings, summarizations, and discussions of recent papers.


Schedule:

Date Topics Overview Presenter Paper Presenter Research Presenter Required Readings
Feb 10 Introduction Tom      
Feb 17 Generative Adversarial Networks Riley Andras [goodfellow2016nips]
[shrivastava2016learning]
Feb 24 Learned Representations of 3D Shape Ghassen and Jerry Ghassen Andreas Geiger (guest lecture) [wu2016learning]
[rezende2016unsupervised]
Mar 3 Self-Supervised Learning Andy Andy Riley [pathak2016context]
[agrawa2015learning]
[pinto2016supersizing]
Mar 10 Learning from RGB-D Panorama     Team [armeni2017joint]
[armeni20163d]
Mar 24 Spring Break        
Mar 31 Deep Reinforcement Learning Karan Karan Manolis [mnih2013playing]
[mnih2016asynchronous]
[dosovitskiy2016learning]
Apr 7 Cross-Modal Learning with Text Angel Angel Angel [mao2016generation]
[andreas2016learning]
[wang2016learning]
Apr 14 Learning from Video Kyle Kyle   [karpathy2014large]
[mathieu2015deep]
[yeung2016end]
Apr 21 Learning for Robotic Manipulation Karan Karan and Andy Andy [lenz2015deep]
[pinto2016curious]
[pinto2017supervision]
Apr 21 Learning from Physics Ghassen     [lerer2016learning]
[agrawal2016learning]
May 5 Learning for Autonomous Driving Andras, Alain, et al.     [janai2017computer]
 

Resources: