Mohamed Elhoseiny, Ph.D.
Mohamed Elhoseiny, Ph.D.
KAUST, Stanford| Assistant Professor and Visiting Scholar, formerly at FAIR and Baidu Research
Verified email at stanford.edu - Homepage
Title
Cited by
Cited by
Year
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
2162013
Memory Aware Synapses: Learning what (not) to forget
R Aljundi, F Babiloni, M Elhoseiny, M Rohrbach, T Tuytelaars
ECCV, 2018
1982018
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
1772016
CAN: Creative Adversarial Networks, Generating" Art" by Learning About Styles and Deviating from Style Norms
A Elgammal, B Liu, M Elhoseiny, M Mazzone
International Conference on Computational Creativity (ICCC), 2017
1742017
Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts
Y Zhu, M Elhoseiny, B Liu, A Elgammal
CVPR, 2018
159*2018
Efficient Lifelong Learning with A-GEM
A Chaudhry, MA Ranzato, M Rohrbach, M Elhoseiny
International Conference on Learning Representations (ICLR), 2019
1262019
Learning hypergraph-regularized attribute predictors
S Huang, M Elhoseiny, A Elgammal, D Yang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
902015
Large-Scale Visual Relationship Understanding
J Zhang, Y Kalantidis, M Rohrbach, M Paluri, A Elgammal, M Elhoseiny
AAAI, 2019
602019
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
512017
Weather classification with deep convolutional neural networks
M Elhoseiny, S Huang, A Elgammal
2015 IEEE International Conference on Image Processing (ICIP), 3349-3353, 2015
502015
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
472017
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
44*2016
Continual learning with tiny episodic memories
A Chaudhry, M Rohrbach, M Elhoseiny, T Ajanthan, PK Dokania, ...
41*2019
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
372013
Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting
M Siam, C Jiang, S Lu, L Petrich, M Gamal, M Elhoseiny, M Jagersand
International Conference on Robotics and Automation (ICRA), 2019
302019
The Shape of Art History in the Eyes of the Machine
A Elgammal, M Mazzone, B Liu, D Kim, M Elhoseiny
AAAI, 2018
302018
Write a Classifier: Predicting Visual Classifiers from Unstructured Text
M Elhoseiny, A Elgammal, B Saleh
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017
302017
Sherlock: Scalable Fact Learning in Images
M Elhoseiny, S Cohen, W Chang, B Price, A Elgammal
AAAI, 2017
29*2017
DeSIGN: Design Inspiration from Generative Networks
O Sbai, M Elhoseiny, A Bordes, Y LeCun, C Couprie
ECCVW, 2018
262018
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
232016
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