CategoryResearch

Authors Cewu Lu*, Ranjay Krishna*, Michael Bernstein, Li Fei-Fei Even though all the images contain the same objects (a person and a bicycle), it is the relationship between the objects that determine the holistic interpretation of the image. Abstract Visual relationships capture a wide variety of interactions between pairs of objects in images (e.g. “man

Authors Sebastian Schuster, Ranjay Krishna, Angel Chang, Li Fei-Fei and Christopher D. Manning Actual results using a popular image search engine (top row) and ideal results (bottom row) for the query a boy wearing a t-shirt with a plane on it. Abstract Semantically complex queries which include attributes of objects and relations between objects still

Authors Ranjay Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David Ayman Shamma, Li Fei-Fei, Michael Bernstein (a) Images are shown to workers at 100ms per image. Workers react whenever they see a dog. (b) The true labels are the ground truth dog images. (c) The workers’ keypresses are slow and occur several images after the

Authors Justin Johnson, Ranjay Krishna, Michael Stark, Li-Jia Li, David Ayman Shamma, Michael Bernstein, Li Fei-Fei Image search using a complex query like “man holding fish and wearing hat on white boat” returns unsatisfactory results in (a). Ideal results (b) include correct objects (“man”, “boat”), attributes (“boat is white”) and relationships (“man on boat”). Abstract

Authors Schwartz, R., Naaman M., Teodoro R. Screenshot of CityBeat interface showing the Detected Events List, Event Window and the Statistics Sidebar Abstract The role of algorithms in the detection, curation and broadcast of news is becoming increasingly prevalent. To better understand this role we developed CityBeat, a system that implements what we call “editorial algorithms”

Authors Xia C., Schwartz, R., Xie K., Krebs A., Langdon A., Ting J. and Naaman M. Abstract With the increasing volume of location-annotated content from various social media platforms like Twitter, Instagram and Foursquare, we now have real-time access to people’s daily documentation of local activities, interests and attention. In this demo paper, we presentCityBeat1,

Authors Joy Kim, Justin Cheng, Michael S. Bernstein A story scene showing (a) the winning draft for a scene. (b) Tabs can be used to switch to different drafts, with the winning draft being shown by default. (c) The scene prompt helps focus contributors on specific writing goals. (d) Contributors can make comments discussing the

Authors Xie K., Xia C., Grinberg N., Schwartz R., and Naaman M. Architecture of our local event detection system. Including data collector, time-series builder, Gaussian Process regression model, alert engine and classifier. Arrows indicate input and output flow of each module. Abstract An increasing number of location-annotated content available from social media channels like Twitter,

Authors Schwartz, R., Naaman M., Matni, Z. Examples of geo-tagged social media data visualizations mockups. Clockwise: geo-tagged topic groupings, keywords appearance graphs, volume graph and heat map Abstract As more people tweet, check-in and share pictures and videos of their daily experiences in the city, new opportunities arise to understand urban activity. When aggregated, these