(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