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2020 – today
- 2023
[c62]Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny:
MoStGAN-V: Video Generation with Temporal Motion Styles. CVPR 2023: 5652-5661- [c61]Jun Chen, Ming Hu, Darren J. Coker, Michael L. Berumen, Blair R. Costelloe, Sara Beery, Anna Rohrbach, Mohamed Elhoseiny:
MammalNet: A Large-Scale Video Benchmark for Mammal Recognition and Behavior Understanding. CVPR 2023: 13052-13061 - [c60]Deyao Zhu, Li Erran Li, Mohamed Elhoseiny:
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning. ICLR 2023 - [c59]Hang Xu, Wenxuan Zhang, Jiawei Fei, Yuzhe Wu, Tingwen Xie, Jun Huang, Yuchen Xie, Mohamed Elhoseiny, Panos Kalnis:
SLAMB: Accelerated Large Batch Training with Sparse Communication. ICML 2023: 38801-38825 - [i65]Deyao Zhu
, Yuhui Wang, Jürgen Schmidhuber, Mohamed Elhoseiny:
Guiding Online Reinforcement Learning with Action-Free Offline Pretraining. CoRR abs/2301.12876 (2023) - [i64]Deyao Zhu, Jun Chen, Kilichbek Haydarov, Xiaoqian Shen, Wenxuan Zhang, Mohamed Elhoseiny:
ChatGPT Asks, BLIP-2 Answers: Automatic Questioning Towards Enriched Visual Descriptions. CoRR abs/2303.06594 (2023) - [i63]Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny:
MoStGAN-V: Video Generation with Temporal Motion Styles. CoRR abs/2304.02777 (2023) - [i62]Jun Chen, Deyao Zhu, Kilichbek Haydarov, Xiang Li, Mohamed Elhoseiny:
Video ChatCaptioner: Towards Enriched Spatiotemporal Descriptions. CoRR abs/2304.04227 (2023) - [i61]Eslam Mohamed Bakr, Pengzhan Sun, Li Erran Li, Mohamed Elhoseiny:
ImageCaptioner2: Image Captioner for Image Captioning Bias Amplification Assessment. CoRR abs/2304.04874 (2023) - [i60]Eslam Mohamed Bakr, Pengzhan Sun, Xiaoqian Shen, Faizan Farooq Khan, Li Erran Li, Mohamed Elhoseiny:
HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models. CoRR abs/2304.05390 (2023) - [i59]Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, Mohamed Elhoseiny:
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models. CoRR abs/2304.10592 (2023) - [i58]Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Mohamed Elhoseiny, Sean Chang Culatana:
Exploring Open-Vocabulary Semantic Segmentation without Human Labels. CoRR abs/2306.00450 (2023) - [i57]Jun Chen, Ming Hu, Darren J. Coker, Michael L. Berumen, Blair R. Costelloe, Sara M. Beery, Anna Rohrbach, Mohamed Elhoseiny:
MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding. CoRR abs/2306.00576 (2023) - [i56]Runjia Li, Shuyang Sun, Mohamed Elhoseiny, Philip H. S. Torr:
OxfordTVG-HIC: Can Machine Make Humorous Captions from Images? CoRR abs/2307.11636 (2023) - [i55]Wenxuan Zhang, Paul Janson, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny:
Continual Zero-Shot Learning through Semantically Guided Generative Random Walks. CoRR abs/2308.12366 (2023) - [i54]Wenxuan Zhang, Paul Janson, Rahaf Aljundi, Mohamed Elhoseiny:
Overcoming General Knowledge Loss with Selective Parameter Finetuning. CoRR abs/2308.12462 (2023) - [i53]Kilichbek Haydarov, Xiaoqian Shen, Avinash Madasu, Mahmoud Salem, Jia Li, Gamaleldin Elsayed, Mohamed Elhoseiny:
Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations. CoRR abs/2308.16349 (2023) - 2022
- [c58]Ivan Skorokhodov, Sergey Tulyakov, Mohamed Elhoseiny:
StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2. CVPR 2022: 3616-3626 - [c57]Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny:
VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning. CVPR 2022: 18009-18019 - [c56]Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny:
RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition. CVPR 2022: 19485-19495 - [c55]Youssef Mohamed, Faizan Farooq Khan, Kilichbek Haydarov, Mohamed Elhoseiny:
It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection. CVPR 2022: 21231-21240 - [c54]Yuchen Li, Ujjwal Upadhyay, Habib Slim, Ahmed Abdelreheem, Arpit Prajapati, Suhail Pothigara, Peter Wonka, Mohamed Elhoseiny:
3D CoMPaT: Composition of Materials on Parts of 3D Things. ECCV (8) 2022: 110-127 - [c53]Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny:
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. ECCV (20) 2022: 116-132 - [c52]Abduallah A. Mohamed, Deyao Zhu, Warren Vu, Mohamed Elhoseiny, Christian G. Claudel:
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation. ECCV (22) 2022: 463-479 - [c51]Youssef Mohamed, Mohamed Abdelfattah, Shyma Alhuwaider, Feifan Li, Xiangliang Zhang, Kenneth Church, Mohamed Elhoseiny:
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture. EMNLP 2022: 8770-8785 - [c50]Divyansh Jha, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny:
Creative Walk Adversarial Networks: Novel Art Generation with Probabilistic Random Walk Deviation from Style Norms. ICCC 2022: 195-204 - [c49]Eslam Mohamed Bakr, Yasmeen Alsaedy, Mohamed Elhoseiny:
Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding. NeurIPS 2022 - [c48]Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Hammoud, Mohamed Elhoseiny, Bernard Ghanem:
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies. NeurIPS 2022 - [c47]Ahmed Abdelreheem, Ujjwal Upadhyay, Ivan Skorokhodov, Rawan Al Yahya, Jun Chen, Mohamed Elhoseiny:
3DRefTransformer: Fine-Grained Object Identification in Real-World Scenes Using Natural Language. WACV 2022: 607-616 - [i52]Yuanpeng Li, Joel Hestness, Mohamed Elhoseiny, Liang Zhao, Kenneth Church:
Efficiently Disentangle Causal Representations. CoRR abs/2201.01942 (2022) - [i51]Kai Yi, Xiaoqian Shen, Yunhao Gou, Mohamed Elhoseiny:
Exploring Hierarchical Graph Representation for Large-Scale Zero-Shot Image Classification. CoRR abs/2203.01386 (2022) - [i50]Abduallah A. Mohamed, Deyao Zhu, Warren Vu, Mohamed Elhoseiny, Christian G. Claudel:
Social-Implicit: Rethinking Trajectory Prediction Evaluation and The Effectiveness of Implicit Maximum Likelihood Estimation. CoRR abs/2203.03057 (2022) - [i49]Youssef Mohamed, Faizan Farooq Khan, Kilichbek Haydarov, Mohamed Elhoseiny:
It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection. CoRR abs/2204.07660 (2022) - [i48]Jun Chen, Ming Hu, Boyang Li, Mohamed Elhoseiny:
Efficient Self-supervised Vision Pretraining with Local Masked Reconstruction. CoRR abs/2206.00790 (2022) - [i47]Deyao Zhu, Li Erran Li, Mohamed Elhoseiny:
Value Memory Graph: A Graph-Structured World Model for Offline Reinforcement Learning. CoRR abs/2206.04384 (2022) - [i46]Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Abed Al Kader Hammoud, Mohamed Elhoseiny, Bernard Ghanem:
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies. CoRR abs/2206.04670 (2022) - [i45]Paul Janson, Wenxuan Zhang, Rahaf Aljundi, Mohamed Elhoseiny:
A Simple Baseline that Questions the Use of Pretrained-Models in Continual Learning. CoRR abs/2210.04428 (2022) - [i44]Youssef Mohamed, Mohamed Abdelfattah, Shyma Alhuwaider, Feifan Li, Xiangliang Zhang, Kenneth Ward Church, Mohamed Elhoseiny:
ArtELingo: A Million Emotion Annotations of WikiArt with Emphasis on Diversity over Language and Culture. CoRR abs/2211.10780 (2022) - [i43]Eslam Mohamed Bakr, Yasmeen Alsaedy, Mohamed Elhoseiny:
Look Around and Refer: 2D Synthetic Semantics Knowledge Distillation for 3D Visual Grounding. CoRR abs/2211.14241 (2022) - 2021
- [c46]Ahmed Ayyad, Yuchen Li, Raden Muaz, Shadi Albarqouni, Mohamed Elhoseiny:
Semi-Supervised Few-Shot Learning with Prototypical Random Walks. MetaDL@AAAI 2021: 45-57 - [c45]Deyao Zhu, Mohamed Zahran, Li Erran Li, Mohamed Elhoseiny:
Motion Forecasting with Unlikelihood Training in Continuous Space. CoRL 2021: 1003-1012 - [c44]Ivan Skorokhodov, Savva Ignatyev, Mohamed Elhoseiny:
Adversarial Generation of Continuous Images. CVPR 2021: 10753-10764 - [c43]Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas:
ArtEmis: Affective Language for Visual Art. CVPR 2021: 11569-11579 - [c42]Divyansh Jha, Hanna Chang, Mohamed Elhoseiny:
Wölfflin's Affective Generative Analysis for Visual Art. ICCC 2021: 429-433 - [c41]Ivan Skorokhodov, Grigorii Sotnikov, Mohamed Elhoseiny:
Aligning Latent and Image Spaces to Connect the Unconnectable. ICCV 2021: 14124-14133 - [c40]Sherif Abdelkarim, Aniket Agarwal, Panos Achlioptas, Jun Chen, Jiaji Huang, Boyang Li, Kenneth Church, Mohamed Elhoseiny:
Exploring Long Tail Visual Relationship Recognition with Large Vocabulary. ICCV 2021: 15901-15910 - [c39]Ivan Skorokhodov, Mohamed Elhoseiny:
Class Normalization for (Continual)? Generalized Zero-Shot Learning. ICLR 2021 - [c38]Deyao Zhu, Mohamed Zahran, Li Erran Li, Mohamed Elhoseiny:
HalentNet: Multimodal Trajectory Forecasting with Hallucinative Intents. ICLR 2021 - [i42]Mohamed Elhoseiny, Kai Yi, Mohamed Elfeki:
CIZSL++: Creativity Inspired Generative Zero-Shot Learning. CoRR abs/2101.00173 (2021) - [i41]Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas:
ArtEmis: Affective Language for Visual Art. CoRR abs/2101.07396 (2021) - [i40]Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny:
VisualGPT: Data-efficient Image Captioning by Balancing Visual Input and Linguistic Knowledge from Pretraining. CoRR abs/2102.10407 (2021) - [i39]Ivan Skorokhodov, Grigorii Sotnikov, Mohamed Elhoseiny:
Aligning Latent and Image Spaces to Connect the Unconnectable. CoRR abs/2104.06954 (2021) - [i38]Mohamed Elhoseiny, Divyansh Jha, Kai Yi, Ivan Skorokhodov:
Imaginative Walks: Generative Random Walk Deviation Loss for Improved Unseen Learning Representation. CoRR abs/2104.09757 (2021) - [i37]Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny:
RelTransformer: Balancing the Visual Relationship Detection from Local Context, Scene and Memory. CoRR abs/2104.11934 (2021) - [i36]Kai Yi, Mohamed Elhoseiny:
Domain-Aware Continual Zero-Shot Learning. CoRR abs/2112.12989 (2021) - [i35]Ivan Skorokhodov, Sergey Tulyakov, Mohamed Elhoseiny:
StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2. CoRR abs/2112.14683 (2021) - 2020
- [c37]Abduallah A. 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 A. 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 A. 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]