Mohamed Elhoseiny, Ph.D.
Mohamed Elhoseiny, Ph.D.
Assistant Professor, KAUST and Visiting Faculty Scholar, Stanford University | formerly at Baidu
Verified email at kaust.edu.sa - Homepage
TitleCited byYear
Write a classifier: Zero-shot learning using purely textual descriptions
M Elhoseiny, B Saleh, A Elgammal
Proceedings of the IEEE International Conference on Computer Vision, 2584-2591, 2013
1802013
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-grained Recognition
H Zhang, T Xu, M Elhoseiny, X Huang, S Zhang, A Elgammal, D Metaxas
CVPR, 2016
1212016
CAN: Creative Adversarial Networks, Generating" Art" by Learning About Styles and Deviating from Style Norms
A Elgammal, B Liu, M Elhoseiny, M Mazzone
ICCC, 2017
1082017
Memory Aware Synapses: Learning what (not) to forget
R Aljundi, F Babiloni, M Elhoseiny, M Rohrbach, T Tuytelaars
ECCV, 2018
772018
Learning hypergraph-regularized attribute predictors
S Huang, M Elhoseiny, A Elgammal, D Yang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
762015
Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
Y Zhu, M Elhoseiny, B Liu, A Elgammal
CVPR, 2018
73*2018
A comparative analysis and study of multiview CNN models for joint object categorization and pose estimation
M Elhoseiny, T El-Gaaly, A Bakry, A Elgammal
International Conference on Machine learning, 888-897, 2016
34*2016
Link the head to the" beak": Zero shot learning from noisy text description at part precision
M Elhoseiny, Y Zhu, H Zhang, A Elgammal
2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 6288 …, 2017
332017
Multiclass object classification in video surveillance systems-experimental study
M Elhoseiny, A Bakry, A Elgammal
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2013
332013
Relationship Proposal Networks
J Zhang*, M Elhoseiny*, S Cohen, W Chang, A Elgammal, ...
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2017
292017
Weather classification with deep convolutional neural networks
M Elhoseiny, S Huang, A Elgammal
2015 IEEE International Conference on Image Processing (ICIP), 3349-3353, 2015
292015
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
M Elhoseiny, A Elgammal, B Saleh
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
212017
Digging Deep into the layers of CNNs: In Search of How CNNs Achieve View Invariance
A *Bakry, M *Elhoseiny, T El-Gaaly, A Elgammal, (* co-first authors)
ICLR, 2016
212016
Efficient Lifelong Learning with A-GEM
A Chaudhry, MA Ranzato, M Rohrbach, M Elhoseiny
International Conference on Learning Representations (ICLR), 2019
192019
Large-Scale Visual Relationship Understanding
J Zhang, Y Kalantidis, M Rohrbach, M Paluri, A Elgammal, M Elhoseiny
AAAI, 2019
182019
English2mindmap: An automated system for mindmap generation from english text
M Elhoseiny, A Elgammal
2012 IEEE International Symposium on Multimedia, 326-331, 2012
16*2012
The Shape of Art History in the Eyes of the Machine
A Elgammal, M Mazzone, B Liu, D Kim, M Elhoseiny
AAAI, 2018
152018
Sherlock: Scalable Fact Learning in Images
M Elhoseiny, S Cohen, W Chang, B Price, A Elgammal
AAAI, 2017
142017
Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos
M Elhoseiny, J Liu, H Cheng, H Sawhney, A Elgammal
AAAI, 2016
142016
DeSIGN: Design Inspiration from Generative Networks
O Sbai, M Elhoseiny, A Bordes, Y LeCun, C Couprie
ECCVW, 2018
122018
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