Elhoseiny, Mohamed

Memory Aware Synapses: Learning What (not) to Forget

Aljundi, R., Babiloni, F., Elhoseiny, M., Rohrbach, M., & Tuytelaars, T. (2018) · Lecture Notes in Computer Science

Domain Adaptation and Few-Shot LearningNeural Networks and Applications

Cited by 1,590

Efficient Lifelong Learning with A-GEM

Chaudhry, A., Ranzato, M., Rohrbach, M., & Elhoseiny, M. (2018) · arXiv

Domain Adaptation and Few-Shot LearningMachine Learning and Algorithms

Cited by 852

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Zhu, D., Chen, J., Shen, X., Li, X., & Elhoseiny, M. (2023) · arXiv

Multimodal Machine Learning ApplicationsGenerative Adversarial Networks and Image Synthesis

Cited by 469

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Skorokhodov, I., Tulyakov, S., & Elhoseiny, M. (2022) · 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Generative Adversarial Networks and Image SynthesisDigital Media Forensic Detection

Cited by 199

ArtEmis: Affective Language for Visual Art

Achlioptas, P., Ovsjanikov, M., Haydarov, K., Elhoseiny, M., & Guibas, L. (2021) · 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Multimodal Machine Learning ApplicationsImage Retrieval and Classification Techniques

Cited by 161

VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding

Li, X., Ding, J., & Elhoseiny, M. (2024) · arXiv

Multimodal Machine Learning ApplicationsRemote-Sensing Image Classification

Cited by 47

3D CoMPaT: Composition of Materials on Parts of 3D Things

Li, Y., Upadhyay, U., Slim, H., Abdelreheem, A., Prajapati, A., Pothigara, S., Wonka, P., & Elhoseiny, M. (2022) · Lecture Notes in Computer Science

3D Shape Modeling and AnalysisAdvanced Neural Network Applications

Cited by 13