| Week of |
Topics & Slides |
Assigned Readings (due this week) |
Assignments (posted on Canvas) |
| Aug 26 |
Course Introduction
(lecture slides) |
|
|
| Sep 2 |
Object Recognition
(lecture slides) |
Guidelines to Reading Research Papers:
How to Read a Computer Science Research Paper,
How to Read a CS Research Paper,
How to Read an Engineering Research Paper
Object Recognition Papers:
ImageNet, Scalable Multi-label Annotation
|
Reading Assignment 1 |
| Sep 9 |
Scene Classification
(lecture slides) |
Survey Paper:
Section 1 and Section 2.1.1 of Crowdsourcing in Computer Vision
Choose 2 Papers:
SUN,
Places2,
LSUN
|
Reading Assignment 2 |
| Sep 16 |
Attribute Labeling
(lecture slides) |
Survey Paper:
Section 2.1.5 of Crowdsourcing in Computer Vision
Required Paper:
a-Pascal & a-Yahoo
Choose 1 Paper:
Attribute Learning in Large-Scale Datasets,
SUN Attribute Database,
UT Zappos50K, COCO Attributes |
Lab Assignment 1 |
| Sep 23 |
Crowdsourcing Platforms (Guest: John McLeod from Alegion) (lecture slides) |
Required Papers:
Beyond Mechanical Turk: An Analysis of Paid Crowd Work Platforms,
Half Workday as a Turker
Choose 1 Paper:
Demographics of Mechanical Turk,
Who are the Crowdworkers? Shifting Demographics in Mechanical Turk,
Worker Demographics and Earnings on Amazon Mechanical Turk: An Exploratory Analysis,
A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
Choose 1 Paper:
Being A Turker,
Turkopticon: Interrupting Worker Invisibility in Amazon Mechanical Turk,
Web Workers, Unite! Addressing Challenges of Online Laborers, Striving to Earn More:
A Survey of Work Strategies and Tool Use Among Crowd Workers
|
Reading Assignment 3 |
| Sep 30 |
Segmentation (lecture slides) |
Section 2.1.3 of Crowdsourcing in Computer Vision,
Utility Data Annotation with Mechanical Turk,
MSCOCO
|
Reading Assignment 4 |
| Oct 7 |
Object Detection and Part Annotation (lecture slides) |
Sections 2.1.2 and 2.1.4 of Crowdsourcing in Computer Vision,
Crowdsourcing Annotations for Visual Object Detection,
Large Scale Image Annotations on Amazon Mechanical Turk
|
Reading Assignment 5 |
| Oct 14 |
Image Captioning (Guest: Colleen Lyon from UT-Austin) (class lecture slides + image copyright slides) |
MSCOCO Captions,
Personality-Captions
|
|
| Oct 21 |
Video Classification and Localization (lecture slides) |
Section 2.2.2 of Crowdsourcing in Computer Vision,
ActivityNet,
YouTube-8M |
Lab Assignment 2; Project Pre-Proposal |
| Oct 28 |
Object Tracking (Guest: Samreen Anjum) (lecture slides) |
VATIC |
Project Proposal |
| Nov 4 |
Visual Question Answering & Dialog (Guest: Warren Barkley from Amazon) (lecture slides) |
VQA: Visual Question Answering,
VizWiz Grand Challenge,
VQA Dialog
|
|
| Nov 11 |
Subjective Problems (lecture slides) |
Section 2.3.2 of Crowdsourcing in Computer Vision,
Learning Subjective Attributes of Images from Auxiliary Sources,
Interpreting the Rhetoric of Visual
Advertisements
|
Project Outline |
| Nov 18 |
Crowdsourcing for Ethical AI (Guest: Cheryl Martin from Alegion)(lecture slides) |
Artificial intelligence: the global landscape of ethics guidelines, Excavating AI |
|
| Nov 25 |
No Class (Thanksgiving Break) |
|
|
| Dec 2 |
Project Presentations |
|
Project Presentation |
| Dec 9 |
No Class |
|
Final Project Submission |