activity
20112024
most citedCAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms

226 citations · 750 across the 46 of their papers we have counts for

collaborators
Showing 2014Show all

7 papers · 1 filter

cs.CY2014★ 2 cited

The Digital Humanities Unveiled: Perceptions Held by Art Historians and Computer Scientists about Computer Vision Technology

Emily L. Spratt, Ahmed Elgammal

Although computer scientists are generally familiar with the achievements of computer vision technology in art history, these accomplishments are little known and often misundersto…

cs.CV2014

Abnormal Object Recognition: A Comprehensive Study

Babak Saleh, Ali Farhadi, Ahmed Elgammal

When describing images, humans tend not to talk about the obvious, but rather mention what they find interesting. We argue that abnormalities and deviations from typicalities are a…

cs.CV2014★ 5 cited

On The Effect of Hyperedge Weights On Hypergraph Learning

Sheng Huang, Ahmed Elgammal, Dan Yang

Hypergraph is a powerful representation in several computer vision, machine learning and pattern recognition problems. In the last decade, many researchers have been keen to develo…

cs.CV2014★ 1 cited

Computational Beauty: Aesthetic Judgment at the Intersection of Art and Science

Emily L. Spratt, Ahmed Elgammal

In part one of the Critique of Judgment, Immanuel Kant wrote that "the judgment of taste...is not a cognitive judgment, and so not logical, but is aesthetic."\cite{Kant} While the…

cs.LG2014

Generalized Twin Gaussian Processes using Sharma-Mittal Divergence

Mohamed Elhoseiny, Ahmed Elgammal

There has been a growing interest in mutual information measures due to their wide range of applications in Machine Learning and Computer Vision. In this paper, we present a genera…

cs.CV2014★ 2 cited

Toward Automated Discovery of Artistic Influence

Babak Saleh, Kanako Abe, Ravneet Singh Arora +1

Considering the huge amount of art pieces that exist, there is valuable information to be discovered. Examining a painting, an expert can determine its style, genre, and the time p…

cs.CL2014★ 1 cited

Text to Multi-level MindMaps: A Novel Method for Hierarchical Visual Abstraction of Natural Language Text

Mohamed Elhoseiny, Ahmed Elgammal

MindMapping is a well-known technique used in note taking, which encourages learning and studying. MindMapping has been manually adopted to help present knowledge and concepts in a…