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Prof. Elgammal published over 180 peer-reviewed papers, book chapters, and books in the fields of computer vision, machine learning, and artificial intelligence. His research on knowledge discovery in art history and AI art generation, received wide international media attention, including reports on the Washington Post, New York Times, the Guardian, the Daily Telegraph, CBS, NBC News, Science News, New Scientist, and many others. In 2017, an Artsy editorial acclaimed his work on AI generated art as “the biggest artistic achievement of the year”. In 2016, a TV segment about his research, produced for PBS, has won an Emmy award. His art has been shown in several technology and art venues in Los Angeles, Frankfurt, San Francisco, and New York City.
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论文共 258 篇作者统计合作学者相似作者
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Faizan Farooq Khan,Diana Kim,Divyansh Jha,Youssef Mohamed, Hanna H Chang,Ahmed Elgammal, Luba Elliott,Mohamed Elhoseiny
CoRR (2024)
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Analytical Chemistry for the Study of Paintings and the Detection of Forgeries Cultural Heritage Sciencepp.133-154, (2022)
Unknown Journal (2021): 7152-7159
semanticscholar(2021)
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