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ORCIDMohamed Elhoseiny
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2020 – today
- 2021
[i36]Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki:
CIZSL++: Creativity Inspired Generative Zero-Shot Learning. CoRR abs/2101.00173 (2021)- [i35]Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas:
ArtEmis: Affective Language for Visual Art. CoRR abs/2101.07396 (2021) - 2020
- [c37]Abduallah Mohamed, Kun Qian, Mohamed Elhoseiny, Christian G. Claudel:
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction. CVPR 2020: 14412-14420 - [c36]Panos Achlioptas, Ahmed Abdelreheem, Fei Xia, Mohamed Elhoseiny, Leonidas J. Guibas:
ReferIt3D: Neural Listeners for Fine-Grained 3D Object Identification in Real-World Scenes. ECCV (1) 2020: 422-440 - [c35]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-guided Continual Learning with Bayesian Neural Networks. ICLR 2020 - [c34]Yuanpeng Li, Liang Zhao, Kenneth Church, Mohamed Elhoseiny:
Compositional Language Continual Learning. ICLR 2020 - [c33]Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang:
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. NeurIPS 2020 - [i34]Abduallah Mohamed, Kun Qian, Mohamed Elhoseiny
, Christian G. Claudel:
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction. CoRR abs/2002.11927 (2020) - [i33]Sherif Abdelkarim, Panos Achlioptas, Jiaji Huang, Boyang Li, Kenneth Church, Mohamed Elhoseiny:
Long-tail Visual Relationship Recognition with a Visiolinguistic Hubless Loss. CoRR abs/2004.00436 (2020) - [i32]Jun Chen, Robert Hoehndorf, Mohamed Elhoseiny, Xiangliang Zhang:
Efficient long-distance relation extraction with DG-SpanBERT. CoRR abs/2004.03636 (2020) - [i31]Abduallah Mohamed, Muhammed Mohaimin Sadiq, Ehab AlBadawy, Mohamed Elhoseiny, Christian G. Claudel:
Inner Ensemble Nets. CoRR abs/2006.08305 (2020) - [i30]Ivan Skorokhodov, Mohamed Elhoseiny:
Normalization Matters in Zero-Shot Learning. CoRR abs/2006.11328 (2020) - [i29]Uchenna Akujuobi, Jun Chen, Mohamed Elhoseiny, Michael Spranger, Xiangliang Zhang:
Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation. CoRR abs/2010.01916 (2020) - [i28]Ivan Skorokhodov, Savva Ignatyev, Mohamed Elhoseiny:
Adversarial Generation of Continuous Images. CoRR abs/2011.12026 (2020)
2010 – 2019
- 2019
- [c32]Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny:
Large-Scale Visual Relationship Understanding. AAAI 2019: 9185-9194 - [c31]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-Guided Continual Learning in Bayesian Neural Networks - Extended Abstract. CVPR Workshops 2019: 75-78 - [c30]Mohamed Elhoseiny, Mohamed Elfeki:
Creativity Inspired Zero-Shot Learning. ICCV 2019: 5783-5792 - [c29]Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny:
Efficient Lifelong Learning with A-GEM. ICLR (Poster) 2019 - [c28]Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny:
GDPP: Learning Diverse Generations using Determinantal Point Processes. ICML 2019: 1774-1783 - [c27]Mennatullah Siam, Chen Jiang, Steven Weikai Lu, Laura Petrich, Mahmoud Gamal, Mohamed Elhoseiny, Martin Jägersand:
Video Object Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting. ICRA 2019: 50-56 - [i27]Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet Kumar Dokania, Philip H. S. Torr, Marc'Aurelio Ranzato:
Continual Learning with Tiny Episodic Memories. CoRR abs/1902.10486 (2019) - [i26]Ahmed Ayyad, Nassir Navab, Mohamed Elhoseiny, Shadi Albarqouni:
Semi-Supervised Few-Shot Learning with Local and Global Consistency. CoRR abs/1903.02164 (2019) - [i25]Mohamed Elhoseiny, Mohamed Elfeki:
Creativity Inspired Zero-Shot Learning. CoRR abs/1904.01109 (2019) - [i24]Sayna Ebrahimi, Mohamed Elhoseiny, Trevor Darrell, Marcus Rohrbach:
Uncertainty-guided Continual Learning with Bayesian Neural Networks. CoRR abs/1906.02425 (2019) - 2018
- [c26]Ahmed Elgammal, Bingchen Liu, Diana Kim, Mohamed Elhoseiny, Marian Mazzone:
The Shape of Art History in the Eyes of the Machine. AAAI 2018: 2183-2191 - [c25]Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars:
Exploring the Challenges Towards Lifelong Fact Learning. ACCV (6) 2018: 66-84 - [c24]Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Xi Peng, Ahmed Elgammal:
A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. CVPR 2018: 1004-1013 - [c23]Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie:
DesIGN: Design Inspiration from Generative Networks. ECCV Workshops (3) 2018: 37-44 - [c22]Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars:
Memory Aware Synapses: Learning What (not) to Forget. ECCV (3) 2018: 144-161 - [c21]Ramprasaath R. Selvaraju, Prithvijit Chattopadhyay, Mohamed Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, Stefan Lee:
Choose Your Neuron: Incorporating Domain Knowledge Through Neuron-Importance. ECCV (13) 2018: 540-556 - [i23]Ahmed M. Elgammal, Marian Mazzone, Bingchen Liu, Diana Kim, Mohamed Elhoseiny:
The Shape of Art History in the Eyes of the Machine. CoRR abs/1801.07729 (2018) - [i22]Othman Sbai, Mohamed Elhoseiny, Antoine Bordes, Yann LeCun, Camille Couprie:
DeSIGN: Design Inspiration from Generative Networks. CoRR abs/1804.00921 (2018) - [i21]Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed M. Elgammal, Mohamed Elhoseiny:
Large-Scale Visual Relationship Understanding. CoRR abs/1804.10660 (2018) - [i20]Ramprasaath R. Selvaraju, Prithvijit Chattopadhyay, Mohamed Elhoseiny, Tilak Sharma, Dhruv Batra, Devi Parikh, Stefan Lee:
Choose Your Neuron: Incorporating Domain Knowledge through Neuron-Importance. CoRR abs/1808.02861 (2018) - [i19]Mennatullah Siam, Chen Jiang, Steven Weikai Lu, Laura Petrich, Mahmoud Gamal, Mohamed Elhoseiny, Martin Jägersand:
Video Segmentation using Teacher-Student Adaptation in a Human Robot Interaction (HRI) Setting. CoRR abs/1810.07733 (2018) - [i18]Mohamed Elfeki, Camille Couprie, Morgane Rivière, Mohamed Elhoseiny:
GDPP: Learning Diverse Generations Using Determinantal Point Process. CoRR abs/1812.00068 (2018) - [i17]Arslan Chaudhry, Marc'Aurelio Ranzato, Marcus Rohrbach, Mohamed Elhoseiny:
Efficient Lifelong Learning with A-GEM. CoRR abs/1812.00420 (2018) - [i16]Mohamed Elhoseiny, Francesca Babiloni, Rahaf Aljundi, Marcus Rohrbach, Manohar Paluri, Tinne Tuytelaars:
Exploring the Challenges towards Lifelong Fact Learning. CoRR abs/1812.10524 (2018) - 2017
- [j3]Mohamed Elhoseiny, Ahmed M. Elgammal, Babak Saleh:
Write a Classifier: Predicting Visual Classifiers from Unstructured Text. IEEE Trans. Pattern Anal. Mach. Intell. 39(12): 2539-2553 (2017) - [c20]Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal:
Sherlock: Scalable Fact Learning in Images. AAAI 2017: 4016-4024 - [c19]Ji Zhang, Mohamed Elhoseiny, Scott Cohen, Walter Chang, Ahmed M. Elgammal:
Relationship Proposal Networks. CVPR 2017: 5226-5234 - [c18]Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed M. Elgammal:
Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision. CVPR 2017: 6288-6297 - [c17]Ahmed M. Elgammal, Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone:
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms. ICCC 2017: 96-103 - [i15]Mohamed Elhoseiny, Ahmed M. Elgammal:
Overlapping Cover Local Regression Machines. CoRR abs/1701.01218 (2017) - [i14]Ahmed M. Elgammal, Bingchen Liu, Mohamed Elhoseiny, Marian Mazzone:
CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms. CoRR abs/1706.07068 (2017) - [i13]Mohamed Elhoseiny, Yizhe Zhu, Han Zhang, Ahmed M. Elgammal:
Link the head to the "beak": Zero Shot Learning from Noisy Text Description at Part Precision. CoRR abs/1709.01148 (2017) - [i12]Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny, Marcus Rohrbach, Tinne Tuytelaars:
Memory Aware Synapses: Learning what (not) to forget. CoRR abs/1711.09601 (2017) - [i11]Yizhe Zhu, Mohamed Elhoseiny, Bingchen Liu, Ahmed M. Elgammal:
Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts. CoRR abs/1712.01381 (2017) - 2016
- [j2]Mohamed Elhoseiny, Ahmed M. Elgammal:
Text to multi-level MindMaps - A novel method for hierarchical visual abstraction of natural language text. Multim. Tools Appl. 75(8): 4217-4244 (2016) - [c16]Mohamed Elhoseiny, Jingen Liu, Hui Cheng, Harpreet S. Sawhney, Ahmed M. Elgammal:
Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos. AAAI 2016: 3478-3486 - [c15]Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal:
Automatic Annotation of Structured Facts in Images. VL@ACL 2016 - [c14]Han Zhang, Tao Xu, Mohamed Elhoseiny, Xiaolei Huang, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas:
SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition. CVPR 2016: 1143-1152 - [c13]Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry, Ahmed M. Elgammal:
A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation. ICML 2016: 888-897 - [c12]Amr Bakry, Tarek El-Gaaly, Mohamed Elhoseiny, Ahmed M. Elgammal:
Joint object recognition and pose estimation using a nonlinear view-invariant latent generative model. WACV 2016: 1-9 - [c11]Amr Bakry, Mohamed Elhoseiny, Tarek El-Gaaly, Ahmed M. Elgammal:
Digging Deep into the Layers of CNNs: In Search of How CNNs Achieve View Invariance. ICLR (Poster) 2016 - [i10]Mohamed Elhoseiny, Ahmed M. Elgammal, Babak Saleh:
Write a Classifier: Predicting Visual Classifiers from Unstructured Text Descriptions. CoRR abs/1601.00025 (2016) - [i9]Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal:
Automatic Annotation of Structured Facts in Images. CoRR abs/1604.00466 (2016) - 2015
- [j1]Mohamed Elhoseiny, Ahmed M. Elgammal:
Generalized Twin Gaussian processes using Sharma-Mittal divergence. Mach. Learn. 100(2-3): 399-424 (2015) - [c10]Mohamed Elhoseiny, Ahmed M. Elgammal:
Visual Classifier Prediction by Distributional Semantic Embedding of Text Descriptions. VL@EMNLP 2015: 48-50 - [c9]Mohamed Elhoseiny, Ahmed M. Elgammal:
Overlapping Domain Cover for Scalable and Accurate Regression Kernel Machines. BMVC 2015: 94.1-94.12 - [c8]Sheng Huang, Mohamed Elhoseiny, Ahmed M. Elgammal, Dan Yang:
Learning Hypergraph-regularized Attribute Predictors. CVPR 2015: 409-417 - [c7]Mohamed Elhoseiny, Sheng Huang, Ahmed M. Elgammal:
Weather classification with deep convolutional neural networks. ICIP 2015: 3349-3353 - [i8]Sheng Huang, Mohamed Elhoseiny, Ahmed M. Elgammal, Dan Yang:
Learning Hypergraph-regularized Attribute Predictors. CoRR abs/1503.05782 (2015) - [i7]Mohamed Elhoseiny, Ahmed M. Elgammal, Babak Saleh:
Tell and Predict: Kernel Classifier Prediction for Unseen Visual Classes from Unstructured Text Descriptions. CoRR abs/1506.08529 (2015) - [i6]Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal:
Sherlock: Modeling Structured Knowledge in Images. CoRR abs/1511.04891 (2015) - [i5]Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry, Ahmed M. Elgammal:
Convolutional Models for Joint Object Categorization and Pose Estimation. CoRR abs/1511.05175 (2015) - [i4]Mohamed Elhoseiny, Jingen Liu, Hui Cheng, Harpreet S. Sawhney, Ahmed M. Elgammal:
Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos. CoRR abs/1512.00818 (2015) - 2014
- [c6]Sheng Huang, Mohamed Elhoseiny, Ahmed M. Elgammal, Dan Yang:
Improving non-negative matrix factorization via ranking its bases. ICIP 2014: 5951-5955 - [c5]Hui Cheng, Jingen Liu, Ishani Chakraborty, Guang Chen, Qiguang Liu, Mohamed Elhoseiny, Gary Gan, Ajay Divakaran, Harpreet S. Sawhney, James Allan, John Foley, Mubarak Shah, Afshin Dehghan, Michael Witbrock, Jon Curtis:
SRI-Sarnoff AURORA System at TRECVID 2014 Multimedia Event Detection and Recounting. TRECVID 2014 - [i3]Mohamed Elhoseiny, Ahmed M. Elgammal:
Text to Multi-level MindMaps: A New Way for Interactive Visualization and Summarization of Natural Language Text. CoRR abs/1408.1031 (2014) - [i2]Mohamed Elhoseiny, Ahmed M. Elgammal:
Generalized Twin Gaussian Processes using Sharma-Mittal Divergence. CoRR abs/1409.7480 (2014) - 2013
- [c4]Mohamed Elhoseiny, Amr Bakry, Ahmed M. Elgammal:
MultiClass Object Classification in Video Surveillance Systems - Experimental Study. CVPR Workshops 2013: 788-793 - [c3]Mohamed Elhoseiny, Babak Saleh, Ahmed M. Elgammal:
Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions. ICCV 2013: 2584-2591 - [c2]Mohamed Elhoseiny, Bing Song, Jeremi Sudol, David McKinnon:
Low-bitrate benefits of JPEG compression on sift recognition. ICIP 2013: 3657-3661 - [i1]Mohamed Elhoseiny, Hossam Faheem, Taymour Nazmy, Eman Shaaban:
GPU-Framework for Teamwork Action Recognition. CoRR abs/1310.3322 (2013) - 2012
- [c1]Mohamed Elhoseiny, Ahmed M. Elgammal:
English2MindMap: An Automated System for MindMap Generation from English Text. ISM 2012: 326-331
Coauthor Index
aka: Ahmed Elgammal
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