Ahmed Elgammal

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 39

Top Topics

Locality Preserving

Manifold Learning

Formal Analysis

Image Synthesis

Top Venues

Publications

Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. WACV (2024)
Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. CoRR (2024)
Faizan Farooq Khan, Diana Kim, Divyansh Jha, Youssef Mohamed, Hanna H. Chang, Ahmed Elgammal, Luba Elliott, Mohamed Elhoseiny
AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art. CoRR (2024)
Diana Kim, Ahmed Elgammal, Marian Mazzone
Formal Analysis of Art: Proxy Learning of Visual Concepts from Style Through Language Models. CoRR (2022)
Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal
Diffusion Guided Domain Adaptation of Image Generators. CoRR (2022)
Mahyar Khayatkhoei, Ahmed Elgammal
Spatial Frequency Bias in Convolutional Generative Adversarial Networks. AAAI (2022)
Diana Kim, Ahmed Elgammal, Marian Mazzone
Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models. AAAI (2022)
Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. ICLR (2021)
Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
Self-Supervised Sketch-to-Image Synthesis. AAAI (2021)
Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. CoRR (2021)
Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal
TIME: Text and Image Mutual-Translation Adversarial Networks. AAAI (2021)
Mahyar Khayatkhoei, Ahmed Elgammal
Spatial Frequency Bias in Convolutional Generative Adversarial Networks. CoRR (2020)
Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal
TIME: Text and Image Mutual-Translation Adversarial Networks. CoRR (2020)
Bingchen Liu, Kunpeng Song, Ahmed Elgammal
Sketch-to-Art: Synthesizing Stylized Art Images From Sketches. CoRR (2020)
Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
Self-Supervised Sketch-to-Image Synthesis. CoRR (2020)
Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. AAAI (2020)
Bingchen Liu, Kunpeng Song, Yizhe Zhu, Ahmed Elgammal
Sketch-to-Art: Synthesizing Stylized Art Images from Sketches. ACCV (6) (2020)
Mohamed Abdellatif, Ahmed Elgammal
ULMFiT replication. LREC (2020)
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
Graphical Contrastive Losses for Scene Graph Parsing. CVPR (2019)
Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. CoRR (2019)
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. CoRR (2019)
Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. ICCV (2019)
Diana Kim, Jason Xu, Ahmed Elgammal, Marian Mazzone
Computational Analysis of Content in Fine Art Paintings. ICCC (2019)
Shijie Geng, Ji Zhang, Hang Zhang, Ahmed Elgammal, Dimitris N. Metaxas
2nd Place Solution to the GQA Challenge 2019. CoRR (2019)
Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
Graphical Contrastive Losses for Scene Graph Generation. CoRR (2019)
Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. CoRR (2019)
Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. NeurIPS (2019)
Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny
Large-Scale Visual Relationship Understanding. AAAI (2019)
Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. CVPR (2018)
Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal
Disconnected Manifold Learning for Generative Adversarial Networks. CoRR (2018)
Diana Kim, Bingchen Liu, Ahmed Elgammal, Marian Mazzone
Finding Principal Semantics of Style in Art. ICSC (2018)
Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge. CoRR (2018)
Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone
The Shape of Art History in the Eyes of the Machine. AAAI (2018)
Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal
Disconnected Manifold Learning for Generative Adversarial Networks. NeurIPS (2018)
Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
An Interpretable Model for Scene Graph Generation. CoRR (2018)
Ahmed Elgammal, Yan Kang, Milko Den Leeuw
Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. AAAI (2018)
Ahmed Elgammal, Yan Kang, Milko Den Leeuw
Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. CoRR (2017)
Gabriel Moyà Alcover, Ahmed Elgammal, Antoni Jaume-i-Capó, Javier Varona
Modeling depth for nonparametric foreground segmentation using RGBD devices. Pattern Recognit. Lett. 96 (2017)
Gabriel Moyà Alcover, Ahmed Elgammal, Antoni Jaume-i-Capó, Javier Varona
Modelling depth for nonparametric foreground segmentation using RGBD devices. CoRR (2016)
Ishan Awasthi, Ahmed Elgammal
Learning Nonlinear Manifolds of Dynamic Textures. VISIGRAPP (Selected Papers) (2006)
Ahmed Elgammal
Human-centered multimedia: representations and challenges. HCM@MM (2006)
Ahmed Elgammal, Ramani Duraiswami, David Harwood, Larry S. Davis
Background and foreground modeling using nonparametric kernel density estimation for visual surveillance. Proc. IEEE 90 (7) (2002)