CSE 690 Internet Vision

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Oct 19, 2013 (3 years and 11 months ago)

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CSE 690 Internet Vision

Organizational Meeting



Tamara Berg

Assistant Professor

SUNY Stony Brook

Course Information

Instructor: Tamara Berg

Email: tlberg@cs.sunysb.edu

Office: 1411 Computer Science

Webpage: http://tamaraberg.com/


Course: Time/Location TBD

Office Hours: TBD

Course Webpage: http://tamaraberg.com/teaching/Fall_08


About Me

First year as a professor


PhD from University of California, Berkeley 2007


Research Scientist at Yahoo! Research 2007
-
2008

Teaching


First time teaching so I’ll be learning as we go along
with all of you!

Research


Digital Media, Computer Vision, Natural Language
Processing, Web Scale projects, Integrating Words &
Pictures


About You?


Name?


Year?


MS/PhD?


Major?


Any related background in Computer Vision,
Machine Learning, Graphics?

Automatic Image Completion

James Hays, Alexei A. Efros. Scene Completion Using Millions of Photographs.
SIGGRAPH 2007

Face Transfer

"Face Swapping: Automatically Replacing Faces in Photographs,” D. Bitouk, N. Kumar, S.
Dhillon, P. Belhumeur, S. K. Nayar, Siggraph 2008

Photo Tourism

Noah Snavely, Steven M. Seitz, Richard Szeliski, "Photo tourism: Exploring photo
collections in 3D,” SIGGRAPH 2006

Automatic Photo Pop
-
Up

D. Hoiem, A.A. Efros, and M. Hebert, "Automatic Photo Pop
-
up", ACM SIGGRAPH
2005

Course Organization


Lectures


Student Paper Presentations


Course Project

Your Responsibilities


Attend lectures


Read assigned papers before each class and
write down at least a few questions


Participate in discussions!


Student Paper Presentations


Course project


Have fun! New and exciting area of
research with broad industrial applications.


Lecture Topics

Visual and Multi
-
Media Data

Computational Photography

Text Based Retrieval

Exemplar Based Retrieval

Photo Quality for Retrieval

Combining Words & Pictures

Places

Objects, People & Events

The role of Social Networks & Human Interaction

Including cutting edge research in: Computer Vision, Graphics,
Multimedia, Information Retrieval, Machine Learning, HCI

Student Paper Presentations


You be the professor for a day


Prepare a presentation and lead a discussion
on a few of the assigned research papers
including discussion questions, pros/cons etc


Present a demo of the system if one is
available


Feel free to run your presentation by me in
office hours beforehand

Project

Course will be project focused


You will pick a project idea near the beginning of the semester
-

I can
help suggest or refine project ideas in office hours.


Projects can be implementing/modifying one of the papers we discuss
or original research


There will be a few status updates over the semester where you will
briefly describe progress and we can provide suggestions


Projects can be completed alone or in pairs


Hopefully some of these projects can be submitted to a conference!


Worried about the material?


I will present a summary of useful knowledge,
algorithms and related techniques near the
beginning of the semester.


This should enable you to understand most of
the research papers we will read.


If you are still worried, feel free to come see
me in office hours.

Lectures

2 classes per week, 1:20 long


Discuss 1
-
2 papers per class


1 class per week, 2:30 long


Discuss ~3 papers per class


Informal discussions, “brown bag” seminar?




Lecture Times?

For next class


Data!

Please Read (links will be posted on course webpage):


80 million tiny images: a large dataset for non
-
parametric object and scene recognition


Course Information

Instructor: Tamara Berg

Email: tlberg@cs.sunysb.edu

Office: 1411 Computer Science

Webpage: http://tamaraberg.com/


Course Time: TBD

Course Location: Will be posted on webpage

Office Hours: TBD

Course Webpage: http://tamaraberg.com/teaching/Fall_08