Projects per year
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Dive into the research topics where Ahmed Elgammal is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 4 Finished
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I-CORPS: ARTIFICIAL INTELLIGENCE FOR ANALYSIS OF VISUAL ART
National Science Foundation (National Science Foundation (NSF))
9/1/16 → 10/31/16
Project: Research project
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RI: SMALL: COLLABORATIVE RESEARCH: DETECTING ABNORMALITIES IN IMAGES
National Science Foundation (National Science Foundation (NSF))
5/15/13 → 4/30/16
Project: Research project
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US EGYPT COOPERATIVE RESEARCH: COMPUTER AIDED PRONUNCIATION LEARNING APPLICATION
National Science Foundation (National Science Foundation (NSF))
10/1/09 → 9/30/12
Project: Research project
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Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models
Kim, D., Elgammal, A. & Mazzone, M., Jun 30 2022, AAAI-22 Technical Tracks 4. Association for the Advancement of Artificial Intelligence, p. 4513-4522 10 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Spatial Frequency Bias in Convolutional Generative Adversarial Networks
Khayatkhoei, M. & Elgammal, A., Jun 30 2022, AAAI-22 Technical Tracks 7. Association for the Advancement of Artificial Intelligence, p. 7152-7159 8 p. (Proceedings of the 36th AAAI Conference on Artificial Intelligence, AAAI 2022; vol. 36).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Self-Supervised Sketch-to-Image Synthesis
Liu, B., Zhu, Y., Song, K. & Elgammal, A., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 2073-2081 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 3A).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
10 Scopus citations -
Sketch-to-Art: Synthesizing Stylized Art Images from Sketches
Liu, B., Song, K., Zhu, Y. & Elgammal, A., 2021, Computer Vision – ACCV 2020 - 15th Asian Conference on Computer Vision, 2020, Revised Selected Papers. Ishikawa, H., Liu, C-L., Pajdla, T. & Shi, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 207-222 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12627 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1 Scopus citations -
TIME: Text and Image Mutual-Translation Adversarial Networks
Liu, B., Song, K., Zhu, Y., de Melo, G. & Elgammal, A., 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. Association for the Advancement of Artificial Intelligence, p. 2082-2090 9 p. (35th AAAI Conference on Artificial Intelligence, AAAI 2021; vol. 3A).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations