Projects per year
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- 6 Similar Profiles
Collaborations and top research areas from the last five years
Projects
- 31 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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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: 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) & Jacob@ruccsrutgersedu, J. F. (CoPI)
5/15/13 → 4/30/17
Project: Research project
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A Fine-Grained Artist Identification Method for Authentication and Attribution of Drawings Using Hatching Lines
Ziaee, S., Elgammal, A. & Mazzone, M., 2025, Proceedings - 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2025. IEEE Computer Society, p. 2153-2164 12 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation
Song, K., Zhu, Y., Liu, B., Yan, Q., Elgammal, A. & Yang, X., 2025, Computer Vision – ECCV 2024 - 18th European Conference, Proceedings. Leonardis, A., Ricci, E., Roth, S., Russakovsky, O., Sattler, T. & Varol, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 117-132 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15098 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
17 Link opens in a new tab Scopus citations -
AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art
Khan, F. F., Kim, D., Jha, D., Mohamed, Y., Chang, H. H., Elgammal, A., Elliott, L. & Elhoseiny, M., 2024, Proceedings - 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2024. IEEE Computer Society, p. 7470-7478 9 p. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
8 Link opens in a new tab Scopus citations -
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
16 Link opens in a new tab Scopus citations -
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
1 Link opens in a new tab Scopus citations