IEEE Senior Member, 2024

Program Chair and Co-founder of the SAAI Initiative (Art& AI Symposium and multi-stage Hackathon), 2024

Best paper award for his work on creative fashion generation at ECCV workshop, Tamara Berg of UNC chapel hill and sponsored by IBM Research and JD AI Research, 2018

Doctoral Consortium award, CVPR, 2016

NSF Fellowship for Write-a-Classifier project, 2014

Best Paper Award, ECCV workshop on Art and Fashion, 2018

Nominated to represent Facebook at the United Nations Biodiversity conference by Manohar Paluri , Director of Facebook AI and Jerome Presenti, VP of AI at Facebook, 2024

Doctorial Consortium award, International Conference on Computer Vision and Pattern Recognition (CVPR), 2016

Best Research-Intern Award (silver), Vision and Learning Group, Center of Vision Technologies, SRI International, 2014

NSF Fellowship, 2014

Nominated to represent Facebook AI Research (FAIR) at the “Best of AI meeting” that was held at “Disney Innovation Group” to demonstrate Creative Adversarial Networks (CAN), 2017

Ji Zhang,Yannis Khaladis, Marcus Rohbrach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny, “Large-Scale Visual Relationship Understanding”, AAAI, 2019

Ramprasaath Selvaraju, Prithvijit Chattopadhyay, Mohamed Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, Stefan Lee, “Choose your Neuron: Incorporating Domain Knowledge through Neuron Importance”, ECCV, 2018

Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars, “Memory Aware Synapses: Learning what (not) to forget”, ECCV, 2018

Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Ahmed Elgammal, “Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts”, CVPR, 2018

Ahmed Elgammal, Bingchen Liu, and Diana Kim, and Mohamed Elhoseiny, and Marian Mazzone, “The Shape of Art History in the Eyes of the Machine”, AAAI, 2018 (oral)

Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Tinne Tuytelaars, “Exploring the Challenges towards Lifelong Fact Learning”, ACCV, 2018

Mohamed Elhoseiny*, Yizhe Zhu*, Han Zhang, Ahmed Elgammal, “Link the head to the "peak'': Zero Shot Learning from Noisy Text descriptions at Part Precision”, International Conference on Computer Vision and Pattern Recognition, CVPR, 2017

Ji Zhang*, Mohamed Elhoseiny*, Walter Chang, Scott Cohen, Ahmed Elgammal, "Relationship Proposal Networks", International Conference on Computer Vision and Pattern Recognition (CVPR), 2017, * equal contribution

Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian Price, Ahmed Elgammal, “Sherlock: Scalable Fact Learning in Images”, AAAI Conference on Artificial Intelligence, 2017, acceptance rate 24%.

Ahmed Elgammal and Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone, “Creative Adversarial Networks: Generating "Art" by Learning About Styles and Deviating from Style Norms”, International Conference on Computational Creativity, ICCC, 2017