732 citations · 2.1k across the 26 of their papers we have counts for
3 papers · 1 filter
Learning Visual Importance for Graphic Designs and Data Visualizations
Zoya Bylinskii, Nam Wook Kim, Peter O'Donovan +6
Knowing where people look and click on visual designs can provide clues about how the designs are perceived, and where the most important or relevant content lies. The most importa…
Learning Hierarchical Shape Segmentation and Labeling from Online Repositories
Li Yi, Leonidas Guibas, Aaron Hertzmann +3
We propose a method for converting geometric shapes into hierarchically segmented parts with part labels. Our key idea is to train category-specific models from the scene graphs an…
BAM! The Behance Artistic Media Dataset for Recognition Beyond Photography
Michael J. Wilber, Chen Fang, Hailin Jin +3
Computer vision systems are designed to work well within the context of everyday photography. However, artists often render the world around them in ways that do not resemble photo…