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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Collaborations and top research areas from the last five years
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Projects
- 11 Finished
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I-Corps: Artificial Intelligence for Analysis Of Visual Art
Elgammal, A. (PI)
9/1/16 → 10/31/16
Project: Research project
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RI: Medium: Collaborative Research: Write A Classifier: Learning Fine-Grained Visual Classifiers from Text and Images
Elgammal, A. (PI)
6/15/14 → 5/31/21
Project: Research project
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RI: Small: Collaborative Research: Detecting Abnormalities in Images
Elgammal, A. (PI) & Feldman, J. (CoPI)
5/15/13 → 4/30/17
Project: Research project
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Phase I: I/UCRC: Center for Dynamic Data Analytics (CDDA)
Metaxas, D. (PI), Pavlovic, V. (CoPI), Elgammal, A. (CoPI), Eliassi-Rad, T. (CoPI) & Xiong, H. (CoPI)
3/15/11 → 2/28/17
Project: Research project
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US Egypt Cooperative Research: Computer Aided Pronunciation Learning Application
Elgammal, A. (PI)
10/1/09 → 9/30/13
Project: Research project
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StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators
Song, K., Han, L., Liu, B., Metaxas, D. & Elgammal, A., Jan 3 2024, Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024. Institute of Electrical and Electronics Engineers Inc., p. 5441-5451 11 p. (Proceedings - 2024 IEEE Winter Conference on Applications of Computer Vision, WACV 2024).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Towards Artist Recognition Based on Material Rendering. A Case Study for Recognition of Rembrandt and Van Dyck
Huang, J. & Elgammal, A., 2024, In: IS and T International Symposium on Electronic Imaging Science and Technology. 36, 14, p. 1771-1777 7 p.Research output: Contribution to journal › Conference article › peer-review
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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
Open Access -
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
Open Access -
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