(Week of) Date | Topics | Assigned Readings (due this week) | Assignments (posted on Canvas) |
---|---|---|---|
Jan 18 | Course Introduction and Basic Webpage Design | ||
Jan 25 | Object Recognition and Cascading Stylesheets |
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: Caltech-101, ImageNet, Fine-Grained Cars |
Reading Assigment 1 Due Jan. 24 |
Feb 1 | Scene Classification, Web Layout Organization, and Developer Tools |
Survey Papers:
Section 1 and Section 2.1.1 of Crowdsourcing in Computer Vision,
Scene Understanding Datasets: Chapter 2
Choose 2 Papers: SUN, Places2, LSUN |
Reading Assignment 2 and Lab Assignment 1 Due Jan. 31 |
Feb 8 | Attribute Labeling, Javascript, and Forms |
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 Choose 1 Paper: UT Zappos50K, Caltech-UCSD Birds-200-2011 |
Reading Assignment 3 Due Feb. 7 |
Feb 15 | Crowdsourcing and Amazon Mechanical Turk |
Choose 2 Papers:
A Survey of General-Purpose Crowdsourcing Techniques,
Beyond Mechanical Turk: An Analysis of Paid Crowd Work Platforms,
Half Workday as a Turker
Required Papers: Demographics of Mechanical Turk, Who are the Crowdworkers? Shifting Demographics in Mechanical Turk Choose 1 Paper: Being A Turker, Turkopticon: Interrupting Worker Invisibility in Amazon Mechanical Turk, Web Workers, Unite! Addressing Challenges of Online Laborers |
Reading Assignment 4 and Lab Assignment 2 Due Feb. 14 |
Feb 22 | Object Detection | Peekaboom, ILSVRC, Crowdsourcing Annotations for Visual Object Detection | Reading Assignment 5 Due Feb. 21 |
Mar 1 | Segmentation |
Survey Paper:
Section 2.1.3 of Crowdsourcing in Computer Vision
Choose 1 Paper: LabelMe, Utility Data Annotation with Mechanical Turk Required Papers: OpenSurfaces, MSCOCO |
Reading Assignment 6 due Feb. 28 and Lab Assignment 3 Due March 7 |
Mar 8 | Machine Learning and Weka | Machine learning: Trends, perspectives, and prospects, Deep Learning, Clickstream Analysis, Instrumenting the Crowd | Reading Assignment 7 and Lab Assignment 3 Due March 7 |
Mar 15 | No Class (Spring Break) | ||
Mar 22 | Video Annotation: Object Tracking, Event Recognition | Section 2.2.2 of Crowdsourcing in Computer Vision, VATIC, ActivityNet, YouTube-8M | Reading Assignment 8 Due March 21 |
Mar 29 | Images and Language | Microsoft COCO Captions, Visual Question Answering | Reading Assignment 9 and Project Pre-Proposal Due March 28 |
Apr 5 | 3D Vision: Pose Estimation, 3D Reconstruction, and Image Correspondences | Optional: Beyond PASCAL: A Benchmark for 3D Object Detection in the Wild, Eyewire, Crowdsourcing for Reference Correspondence Generation in Endoscopic Images | Project Proposal Due April 4 |
Apr 12 | Alternative Sensors and Subjective Problems | Optional: Crowdsourcing for Bioinformatics, Section 2.3.2 of Crowdsourcing in Computer Vision | |
Apr 19 | Crowd-Powered Systems and Interactive Vision | Optional: Glance, Zensors, Section 4.2 of Crowdsourcing in Computer Vision | Project Outline Due April 18 |
Apr 26 | Synthetic Images and Active Learning | Optional: Section 2.2.3 of Crowdsourcing in Computer Vision, Section 4.1 of Crowdsourcing in Computer Vision | |
May 3 | Project Presentations |