Publications

A. Elgammal, B. Liu, D. Kim, M. Elhoseiny, M. Mazzone

"The Shape of Art History in the Eyes of the Machine"

The 32nd AAAI Conference on Artificial Intelligence, February 2018


A. Elgammal, Y. Kang, M. Den Leeuv

"Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication"

The 32nd AAAI Conference on Artificial Intelligence, February 2018


D. Kim, B. Liu, A. Elgammal, M. Mazzone
The 12th IEEE International Conference on Semantic Computing (ICSC), February 2018

A. Elgammal, B. Liu, M. Elhoseiny, M. Mazzone

"CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms"

The 8th International Conference on Computational Creativity (ICCC) 2017


B. Saleh and A. Elgammal 

“Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature” 

Journal of Digital Art History – November 2016.


A. Elgammal

"Which paintings were the most creative of their time? An algorithm may hold the answers"

The Conversation - July 30th 2015

Newsweek

Times


A. Elgammal, B. Saleh

"Quantifying Creativity in Art Networks"

The 6th International Conference on Computational Creativity (ICCC) 2015


B. Saleh , A. Elgammal

"Large-Scale Classification of Fine-Art Paintings: Learning the Right Metric on the Right Feature"

CoRR, May 2015



A. Elgammal

" Computer science can only help -not hurt- art historians"

The Conversation - December 2014



B. Saleh, K. Abe and A. Elgammal

"A Computer Vision System for Artistic Influence Mining"

Robohub - November 2014



E. L. Spratt and A. Elgammal

The digital humanities survey

Results of the survey is summarized in this article:

Emily L. Spratt, “The Digital Humanities Unveiled: Perceptions Held by Art Historians and Computer Scientists about Computer Vision Technology,” The Digital Humanities Project Web Publication, October 2014, 



E. L. Spratt and A. Elgammal

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

When Vision Meets Art (VisArt) Workshop, held in conjunction with the European Conference on Computer Vision (ECCV), Zurich, Switzerland, September 6th, 2014.



B. Saleh, K. Abe, R. Arora, A. Elgammal

“Toward Automated Discovery of Artistic Influence”

Multimedia Tools and Applications Journal– Springer – 2014



B. Saleh, K. Abe and A. Elgammal

“Knowledge Discovery of Artistic Influences: A Metric Learning Approach”

The Fifth International Conference on Computational Creativity (ICCC), Ljubjana, Slovania, June 2014



K. Abe, B. Saleh and A. Elgammal 

“An Early Framework for Determining Artistic Influence” 

The 2nd International Workshop on Multimedia for Cultural Heritage (MM4CH), Naples, Italy 2013



R. Arora and A. Elgammal

“Towards Automated Classification of Fine-Art Painting Style: A Comparative Study”

The 21st International Conference on Pattern Recognition (ICPR), Tsukuba, Japan, November 2012



R. Arora  - M.Sc. thesis awarded 2012 

“Automated Classification of Fine-art Painting Style”


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