Predicting Visual Importance Across Graphic Design Types-Reference-Cited by-同舟云学术

Predicting Visual Importance Across Graphic Design Types

Published:2020-10-20 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 33rd Annual ACM Symposium on User Interface Software and Technology
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Author:

Fosco Camilo¹,Casser Vincent¹,Bedi Amish Kumar²,O'Donovan Peter³,Hertzmann Aaron⁴,Bylinskii Zoya⁵

Affiliation:

1. Massachusetts Institute of Technology, Cambridge, MA, USA

2. Adobe Inc., Noida, India

3. Adobe Inc., Seattle, WA, USA

4. Adobe Research, San Francisco, CA, USA

5. Adobe Research, Cambridge, MA, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3379337.3415825

Reference33 articles.

1. What Makes a Visualization Memorable?

2. Zoya Bylinskii* Sami Alsheikh* Spandan Madan* Adria Recasens* Kimberli Zhong Hanspeter Pfister Fredo Durand and Aude Oliva. 2017. Understanding infographics through textual and visual tag prediction. In arXiv preprint arXiv:1709.09215. https://arxiv.org/pdf/1709.09215 Zoya Bylinskii* Sami Alsheikh* Spandan Madan* Adria Recasens* Kimberli Zhong Hanspeter Pfister Fredo Durand and Aude Oliva. 2017. Understanding infographics through textual and visual tag prediction. In arXiv preprint arXiv:1709.09215. https://arxiv.org/pdf/1709.09215

3. Zoya Bylinskii Tilke Judd Ali Borji Laurent Itti Frédo Durand Aude Oliva and Antonio Torralba. 2015b. Mit saliency benchmark. (2015). Zoya Bylinskii Tilke Judd Ali Borji Laurent Itti Frédo Durand Aude Oliva and Antonio Torralba. 2015b. Mit saliency benchmark. (2015).

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