44 citations · 90 across the 34 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
cs.LG2019★ 8 cited
Predicting the Politics of an Image Using Webly Supervised Data
Christopher Thomas, Adriana Kovashka
The news media shape public opinion, and often, the visual bias they contain is evident for human observers. This bias can be inferred from how different media sources portray diff…
cs.CV2019★ 6 cited
Cap2Det: Learning to Amplify Weak Caption Supervision for Object Detection
Keren Ye, Mingda Zhang, Adriana Kovashka +3
Learning to localize and name object instances is a fundamental problem in vision, but state-of-the-art approaches rely on expensive bounding box supervision. While weakly supervis…
cs.CV2019★ 8 cited
Measuring Effectiveness of Video Advertisements
James Hahn, Adriana Kovashka
Advertisements are unavoidable in modern society. Times Square is notorious for its incessant display of advertisements. Its popularity is worldwide and smaller cities possess mini…