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وظائف أعضاء هيئة التدريس
رؤيتنا
المجلة العلمية
أستاذ مشارك، علوم الحاسب الآلي
عضوية مركز الأبحاث :
mohamed.elhoseiny@kaust.edu.sa
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