Mohamed Elhoseiny

Postdoctoral Researcher

Computer Vision
Facebook AI Research

My primary research interest is in computer vision, machine learning, intersection between natural language and vision, language guided visual-perception, and visual reasoning. I received my PhD degree from Rutgers University, New Brunswick, New Jersey, in 2016 under Prof. Ahmed Elgammal. Before joining Facebook research, I worked as a research fellow for six months at the same group where I lead the group’s graduate students with Prof. Elgammal in Vision & Language and Art & AI projects.

Interests

Zero-shot Learning, Language and Vision, Visual Reasoning, and Language Guided Visual Perception

Google Scholar
Website
Publications
Google Scholar
Website
Publications

Latest Publications

Memory Aware Synapses: Learning what (not) to forget

Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars

ECCV 2018 - September 9, 2018

Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance

Ramprasaath R. Selvaraju, Prithvijit Chattopadhyay, Mohamed Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, Stefan Lee

ECCV 2018 - September 9, 2018

A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts

Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal

CVPR 2018 - June 19, 2018

DesIGN: Design Inspiration from Generative Networks

Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie

ArXive - April 3, 2018

Link the head to the “beak”: Zero Shot Learning from Noisy Text Description at Part Precision

Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed Elgammal

CVPR - July 21, 2017

Relationship Proposal Networks

Ji Zhang, Mohamed Elhoseiny, Scott Cohen, Walter Chang, Ahmed Elgammal

CVPR 2017 - July 21, 2017

CAN: Creative Adversarial Networks

Ahmed Elgammal, Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone

ICCC 2017 - May 21, 2017
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