Tristan J McKinney

schoolAmazonbar_chart#9613 Global Rank

Total Papers

HCI Rank

#9613

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Recent Publications

Snapper: Accelerating Bounding Box Annotation in Object Detection Tasks with Find-and-Snap Tooling

Object detection tasks are central to the development of datasets and algorithms in computer vision and machine learning. Despite its centrality, object detection remains tedious and time-consuming due to the inherent interactions that are often associated with drawing precise annotations. In this paper, we introduce…

CSCW '213rd AuthorCrowds and Collaboration

The Challenge of Variable Effort Crowdsourcing & How Visible Gold Can Help

We consider a class of variable effort human annotation tasks in which the number of labels required per item can greatly vary (e.g., finding all faces in an image, named entities in a text, bird calls in an audio recording, etc.). In such tasks, some items require far more effort than others to annotate. Furthermore,…

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