Ahmed Elgammal

51 papers A* 14A 1B 1C 1Journal 24Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Creative Image Generation with Diffusion Model. CoRR Kunpeng Song, Ahmed Elgammal
2025	—	`conf`	A Fine-grained Artist Identification Method for Authentication and Attribution of Drawings using Hatching Lines. CVPR Workshops Shahrzad Ziaee, Ahmed Elgammal, Marian Mazzone
2025	J	`jnl`	Modality Agnostic Efficient Long Range Encoder. CoRR Toufiq Parag, Ahmed Elgammal
2024	—	`conf`	AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art. CVPR Workshops Faizan Farooq Khan, Diana Kim, Divyansh Jha, Youssef Mohamed, Hanna H. Chang, Ahmed Elgammal, Luba Elliott, Mohamed Elhoseiny
2024	J	`jnl`	AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art. CoRR Faizan Farooq Khan, Diana Kim, Divyansh Jha, Youssef Mohamed, Hanna H. Chang, Ahmed Elgammal, Luba Elliott, Mohamed Elhoseiny
2024	J	`jnl`	DirectorLLM for Human-Centric Video Generation. CoRR Kunpeng Song, Tingbo Hou, Zecheng He, Haoyu Ma, Jialiang Wang, Animesh Sinha, Sam S. Tsai, Yaqiao Luo, Xiaoliang Dai, Li Chen, Xide Xia, Peizhao Zhang, Peter Vajda, Ahmed Elgammal, Felix Juefei-Xu
2024	—	`conf`	MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. ECCV (40) Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang
2024	J	`jnl`	MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. CoRR Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang
2024	A	`conf`	StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. WACV Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal
2022	—	`conf`	Beethoven X: ‘Es könnte sein!’ (‘It could be!’). AIMC Mark R. H. Gotham, Kunpeng Song, Nicolai Böhlefeld, Ahmed Elgammal
2022	J	`jnl`	Diffusion Guided Domain Adaptation of Image Generators. CoRR Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal
2022	J	`jnl`	Formal Analysis of Art: Proxy Learning of Visual Concepts from Style Through Language Models. CoRR Diana Kim, Ahmed Elgammal, Marian Mazzone
2022	A*	`conf`	Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models. AAAI Diana Kim, Ahmed Elgammal, Marian Mazzone
2022	A*	`conf`	Spatial Frequency Bias in Convolutional Generative Adversarial Networks. AAAI Mahyar Khayatkhoei, Ahmed Elgammal
2021	A*	`conf`	Self-Supervised Sketch-to-Image Synthesis. AAAI Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
2021	A*	`conf`	TIME: Text and Image Mutual-Translation Adversarial Networks. AAAI Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal
2021	A*	`conf`	Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. ICLR Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
2021	J	`jnl`	Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. CoRR Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
2020	A*	`conf`	OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. AAAI Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal
2020	J	`jnl`	Self-Supervised Sketch-to-Image Synthesis. CoRR Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal
2020	J	`jnl`	Sketch-to-Art: Synthesizing Stylized Art Images From Sketches. CoRR Bingchen Liu, Kunpeng Song, Ahmed Elgammal
2020	—	`conf`	Sketch-to-Art: Synthesizing Stylized Art Images from Sketches. ACCV (6) Bingchen Liu, Kunpeng Song, Yizhe Zhu, Ahmed Elgammal
2020	J	`jnl`	Spatial Frequency Bias in Convolutional Generative Adversarial Networks. CoRR Mahyar Khayatkhoei, Ahmed Elgammal
2020	J	`jnl`	TIME: Text and Image Mutual-Translation Adversarial Networks. CoRR Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal
2020	B	`conf`	ULMFiT replication. LREC Mohamed Abdellatif, Ahmed Elgammal
2019	J	`jnl`	2nd Place Solution to the GQA Challenge 2019. CoRR Shijie Geng, Ji Zhang, Hang Zhang, Ahmed Elgammal, Dimitris N. Metaxas
2019	C	`conf`	Computational Analysis of Content in Fine Art Paintings. ICCC Diana Kim, Jason Xu, Ahmed Elgammal, Marian Mazzone
2019	J	`jnl`	Graphical Contrastive Losses for Scene Graph Generation. CoRR Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
2019	A*	`conf`	Graphical Contrastive Losses for Scene Graph Parsing. CVPR Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
2019	A*	`conf`	Large-Scale Visual Relationship Understanding. AAAI Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny
2019	A*	`conf`	Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. ICCV Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
2019	J	`jnl`	Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. CoRR Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal
2019	J	`jnl`	Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. CoRR Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
2019	J	`jnl`	OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. CoRR Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal
2019	A*	`conf`	Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. NeurIPS Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal
2018	A*	`conf`	A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. CVPR Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal
2018	J	`jnl`	An Interpretable Model for Scene Graph Generation. CoRR Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
2018	A*	`conf`	Disconnected Manifold Learning for Generative Adversarial Networks. NeurIPS Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal
2018	J	`jnl`	Disconnected Manifold Learning for Generative Adversarial Networks. CoRR Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal
2018	—	`conf`	Finding Principal Semantics of Style in Art. ICSC Diana Kim, Bingchen Liu, Ahmed Elgammal, Marian Mazzone
2018	J	`jnl`	Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge. CoRR Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal
2018	—	`ed.`	MultiMedia Modeling - 24th International Conference, MMM 2018, Bangkok, Thailand, February 5-7, 2018, Proceedings, Part I MMM (1) Klaus Schoeffmann, Thanarat H. Chalidabhongse, Chong-Wah Ngo, Supavadee Aramvith, Noel E. O'Connor, Yo-Sung Ho, Moncef Gabbouj, Ahmed Elgammal
2018	—	`ed.`	MultiMedia Modeling - 24th International Conference, MMM 2018, Bangkok, Thailand, February 5-7, 2018, Proceedings, Part II MMM (2) Klaus Schoeffmann, Thanarat H. Chalidabhongse, Chong-Wah Ngo, Supavadee Aramvith, Noel E. O'Connor, Yo-Sung Ho, Moncef Gabbouj, Ahmed Elgammal
2018	A*	`conf`	Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. AAAI Ahmed Elgammal, Yan Kang, Milko Den Leeuw
2018	A*	`conf`	The Shape of Art History in the Eyes of the Machine. AAAI Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone
2017	J	`jnl`	Modeling depth for nonparametric foreground segmentation using RGBD devices. Pattern Recognit. Lett. Gabriel Moyà Alcover, Ahmed Elgammal, Antoni Jaume-i-Capó, Javier Varona
2017	J	`jnl`	Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. CoRR Ahmed Elgammal, Yan Kang, Milko Den Leeuw
2016	J	`jnl`	Modelling depth for nonparametric foreground segmentation using RGBD devices. CoRR Gabriel Moyà Alcover, Ahmed Elgammal, Antoni Jaume-i-Capó, Javier Varona
2006	—	`conf`	Human-centered multimedia: representations and challenges. HCM@MM Ahmed Elgammal
2006	—	`conf`	Learning Nonlinear Manifolds of Dynamic Textures. VISIGRAPP (Selected Papers) Ishan Awasthi, Ahmed Elgammal
2002	J	`jnl`	Background and foreground modeling using nonparametric kernel density estimation for visual surveillance. Proc. IEEE Ahmed Elgammal, Ramani Duraiswami, David Harwood, Larry S. Davis