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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 259 篇科研项目共 11 篇作者统计合作学者相似作者
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Kunpeng Song, Tingbo Hou, Zecheng He, Haoyu Ma,Jialiang Wang,Animesh Sinha,Sam Tsai, Yaqiao Luo,Xiaoliang Dai, Li Chen,Xide Xia,Peizhao Zhang,
arxiv(2024)
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Faizan Farooq Khan,Diana Kim,Divyansh Jha,Youssef Mohamed, Hanna H Chang,Ahmed Elgammal, Luba Elliott,Mohamed Elhoseiny
Computer Vision and Pattern Recognitionpp.7470-7478, (2024)
IEEE/CVF Winter Conference on Applications of Computer Visionpp.5441-5451, (2024)
Lin Hu,Ahmed Elgammal
IS&T International Symposium on Electronic Imaging Science and Technologyno. 14 (2024): 177-7
European Conference on Computer Visionpp.117-132, (2024)
Proceedings of the AAAI Conference on Artificial Intelligenceno. 4 (2022): 4513-4522
Analytical Chemistry for the Study of Paintings and the Detection of Forgeries Cultural Heritage Sciencepp.133-154, (2022)
Proceedings of the AAAI Conference on Artificial Intelligenceno. 7 (2022): 7152-7159
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