| 2025 | CVPR | A Fine-grained Artist Identification Method for Authentication and Attribution of Drawings using Hatching Lines. | Shahrzad Ziaee, Ahmed Elgammal, Marian Mazzone |
| 2024 | CVPR | AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art. | Faizan Farooq Khan, Diana Kim, Divyansh Jha, Youssef Mohamed, Hanna H. Chang, Ahmed Elgammal, Luba Elliott, Mohamed Elhoseiny |
| 2024 | ECCV | MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. | Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang |
| 2024 | WACV | StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. | Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal |
| 2022 | AAAI | Spatial Frequency Bias in Convolutional Generative Adversarial Networks. | Mahyar Khayatkhoei, Ahmed Elgammal |
| 2022 | AAAI | Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models. | Diana Kim, Ahmed Elgammal, Marian Mazzone |
| 2021 | AAAI | TIME: Text and Image Mutual-Translation Adversarial Networks. | Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal |
| 2021 | AAAI | Self-Supervised Sketch-to-Image Synthesis. | Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal |
| 2021 | ICLR | Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. | Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal |
| 2020 | AAAI | OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. | Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal |
| 2020 | ACCV | Sketch-to-Art: Synthesizing Stylized Art Images from Sketches. | Bingchen Liu, Kunpeng Song, Yizhe Zhu, Ahmed Elgammal |
| 2020 | LREC | ULMFiT replication. | Mohamed Abdellatif, Ahmed Elgammal |
| 2019 | AAAI | Large-Scale Visual Relationship Understanding. | Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny |
| 2019 | CVPR | Graphical Contrastive Losses for Scene Graph Parsing. | Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro |
| 2019 | ICCV | Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. | Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal |
| 2018 | AAAI | Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. | Ahmed Elgammal, Yan Kang, Milko Den Leeuw |
| 2018 | AAAI | The Shape of Art History in the Eyes of the Machine. | Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone |
| 2018 | CVPR | A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. | Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal |