activity
20122024
most citedVisual Relationship Detection with Language Priors

111 citations · 609 across the 18 of their papers we have counts for

collaborators
Showing 2016Show all

5 papers · 1 filter

cs.HC201671 cited

Mechanical Novel: Crowdsourcing Complex Work through Reflection and Revision

Joy Kim, Sarah Sterman, Allegra Argent Beal Cohen +1

Crowdsourcing systems accomplish large tasks with scale and speed by breaking work down into independent parts. However, many types of complex creative work, such as fiction writin…

cs.HC201669 cited

Mosaic: Designing Online Creative Communities for Sharing Works-in-Progress

Joy Kim, Maneesh Agrawala, Michael S. Bernstein

Online creative communities allow creators to share their work with a large audience, maximizing opportunities to showcase their work and connect with fans and peers. However, shar…

cs.HC201636 cited

A Glimpse Far into the Future: Understanding Long-term Crowd Worker Quality

Kenji Hata, Ranjay Krishna, Li Fei-Fei +1

Microtask crowdsourcing is increasingly critical to the creation of extremely large datasets. As a result, crowd workers spend weeks or months repeating the exact same tasks, makin…

cs.HC20169 cited

Huddler: Convening Stable and Familiar Crowd Teams Despite Unpredictable Availability

Niloufar Salehi, Andrew McCabe, Melissa Valentine +1

Distributed, parallel crowd workers can accomplish simple tasks through workflows, but teams of collaborating crowd workers are necessary for complex goals. Unfortunately, a fundam…

cs.CV2016111 cited

Visual Relationship Detection with Language Priors

Cewu Lu, Ranjay Krishna, Michael Bernstein +1

Visual relationships capture a wide variety of interactions between pairs of objects in images (e.g. "man riding bicycle" and "man pushing bicycle"). Consequently, the set of possi…