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ORCIDAhmed M. Elgammal
Ahmed Elgammal
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- affiliation: Rutgers University, Piscataway, Department of Computer Science
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2020 – today
- 2024
[c126]Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal:
StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. WACV 2024: 5441-5451- [i50]Faizan Farooq Khan, Diana Kim, Divyansh Jha, Youssef Mohamed, Hanna H. Chang, Ahmed Elgammal, Luba Elliott, Mohamed Elhoseiny:
AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art. CoRR abs/2402.02453 (2024) - [i49]Kunpeng Song, Yizhe Zhu, Bingchen Liu, Qing Yan, Ahmed Elgammal, Xiao Yang:
MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. CoRR abs/2404.05674 (2024) - 2022
- [c125]Diana Kim, Ahmed Elgammal, Marian Mazzone:
Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models. AAAI 2022: 4513-4522 - [c124]Mahyar Khayatkhoei, Ahmed Elgammal:
Spatial Frequency Bias in Convolutional Generative Adversarial Networks. AAAI 2022: 7152-7159 - [i48]Diana Kim, Ahmed Elgammal, Marian Mazzone:
Formal Analysis of Art: Proxy Learning of Visual Concepts from Style Through Language Models. CoRR abs/2201.01819 (2022) - [i47]Kunpeng Song, Ligong Han, Bingchen Liu, Dimitris N. Metaxas, Ahmed Elgammal:
Diffusion Guided Domain Adaptation of Image Generators. CoRR abs/2212.04473 (2022) - 2021
- [c123]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Self-Supervised Sketch-to-Image Synthesis. AAAI 2021: 2073-2081 - [c122]Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal:
TIME: Text and Image Mutual-Translation Adversarial Networks. AAAI 2021: 2082-2090 - [c121]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. ICLR 2021 - [i46]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. CoRR abs/2101.04775 (2021) - 2020
- [c120]Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal:
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. AAAI 2020: 4836-4843 - [c119]Bingchen Liu, Kunpeng Song, Yizhe Zhu, Ahmed Elgammal
:
Sketch-to-Art: Synthesizing Stylized Art Images from Sketches. ACCV (6) 2020: 207-222 - [c118]Mohamed Abdellatif, Ahmed Elgammal:
ULMFiT replication. LREC 2020: 5579-5587 - [i45]Bingchen Liu, Kunpeng Song, Ahmed Elgammal:
Sketch-to-Art: Synthesizing Stylized Art Images From Sketches. CoRR abs/2002.12888 (2020) - [i44]Bingchen Liu, Kunpeng Song, Yizhe Zhu, Gerard de Melo, Ahmed Elgammal:
TIME: Text and Image Mutual-Translation Adversarial Networks. CoRR abs/2005.13192 (2020) - [i43]Mahyar Khayatkhoei, Ahmed Elgammal:
Spatial Frequency Bias in Convolutional Generative Adversarial Networks. CoRR abs/2010.01473 (2020) - [i42]Bingchen Liu, Yizhe Zhu, Kunpeng Song, Ahmed Elgammal:
Self-Supervised Sketch-to-Image Synthesis. CoRR abs/2012.09290 (2020)
2010 – 2019
- 2019
- [c117]Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed Elgammal, Mohamed Elhoseiny:
Large-Scale Visual Relationship Understanding. AAAI 2019: 9185-9194 - [c116]Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro:
Graphical Contrastive Losses for Scene Graph Parsing. CVPR 2019: 11535-11543 - [c115]Diana Kim, Jason Xu, Ahmed Elgammal, Marian Mazzone:
Computational Analysis of Content in Fine Art Paintings. ICCC 2019: 33-40 - [c114]Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal:
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. ICCV 2019: 9843-9853 - [c113]Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal:
Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. NeurIPS 2019: 14917-14927 - [i41]Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng, Ahmed Elgammal:
Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. CoRR abs/1903.00502 (2019) - [i40]Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro:
Graphical Contrastive Losses for Scene Graph Generation. CoRR abs/1903.02728 (2019) - [i39]Yizhe Zhu, Jianwen Xie, Bingchen Liu, Ahmed Elgammal:
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. CoRR abs/1904.10056 (2019) - [i38]Bingchen Liu, Yizhe Zhu, Zuohui Fu, Gerard de Melo, Ahmed Elgammal:
OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. CoRR abs/1905.10836 (2019) - [i37]Shijie Geng, Ji Zhang, Hang Zhang, Ahmed Elgammal, Dimitris N. Metaxas:
2nd Place Solution to the GQA Challenge 2019. CoRR abs/1907.06794 (2019) - 2018
- [c112]Ahmed Elgammal, Yan Kang, Milko Den Leeuw:
Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. AAAI 2018: 42-50 - [c111]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 - [c110]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 - [c109]Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal:
Disconnected Manifold Learning for Generative Adversarial Networks. NeurIPS 2018: 7354-7364 - [c108]Diana Kim, Bingchen Liu, Ahmed Elgammal, Marian Mazzone:
Finding Principal Semantics of Style in Art. ICSC 2018: 156-163 - [e3]Klaus Schoeffmann, Thanarat H. Chalidabhongse, Chong-Wah Ngo, Supavadee Aramvith, Noel E. O'Connor, Yo-Sung Ho, Moncef Gabbouj, Ahmed Elgammal:
MultiMedia Modeling - 24th International Conference, MMM 2018, Bangkok, Thailand, February 5-7, 2018, Proceedings, Part I. Lecture Notes in Computer Science 10704, Springer 2018, ISBN 978-3-319-73602-0 [contents] - [e2]Klaus Schoeffmann, Thanarat H. Chalidabhongse, Chong-Wah Ngo, Supavadee Aramvith, Noel E. O'Connor, Yo-Sung Ho, Moncef Gabbouj, Ahmed Elgammal:
MultiMedia Modeling - 24th International Conference, MMM 2018, Bangkok, Thailand, February 5-7, 2018, Proceedings, Part II. Lecture Notes in Computer Science 10705, Springer 2018, ISBN 978-3-319-73599-3 [contents] - [i36]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) - [i35]Ji Zhang, Yannis Kalantidis, Marcus Rohrbach, Manohar Paluri, Ahmed M. Elgammal, Mohamed Elhoseiny:
Large-Scale Visual Relationship Understanding. CoRR abs/1804.10660 (2018) - [i34]Mahyar Khayatkhoei, Maneesh Singh, Ahmed Elgammal:
Disconnected Manifold Learning for Generative Adversarial Networks. CoRR abs/1806.00880 (2018) - [i33]Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal:
Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge. CoRR abs/1811.00662 (2018) - [i32]Ji Zhang, Kevin J. Shih, Andrew Tao, Bryan Catanzaro, Ahmed Elgammal:
An Interpretable Model for Scene Graph Generation. CoRR abs/1811.09543 (2018) - 2017
- [j25]Sheng Huang, Ahmed M. Elgammal, Dan Yang:
On the effect of hyperedge weights on hypergraph learning. Image Vis. Comput. 57: 89-101 (2017) - [j24]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) - [j23]Gabriel Moyà Alcover, Ahmed Elgammal, Antoni Jaume-i-Capó, Javier Varona:
Modeling depth for nonparametric foreground segmentation using RGBD devices. Pattern Recognit. Lett. 96: 76-85 (2017) - [c107]Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal:
Sherlock: Scalable Fact Learning in Images. AAAI 2017: 4016-4024 - [c106]Ji Zhang, Mohamed Elhoseiny, Scott Cohen, Walter Chang, Ahmed M. Elgammal:
Relationship Proposal Networks. CVPR 2017: 5226-5234 - [c105]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 - [c104]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 - [c103]Yizhe Zhu, Ahmed M. Elgammal:
A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras. ICCV 2017: 5142-5151 - [i31]Mohamed Elhoseiny, Ahmed M. Elgammal:
Overlapping Cover Local Regression Machines. CoRR abs/1701.01218 (2017) - [i30]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) - [i29]Yizhe Zhu, Ahmed M. Elgammal:
A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras. CoRR abs/1709.01140 (2017) - [i28]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) - [i27]Ahmed Elgammal, Yan Kang, Milko Den Leeuw:
Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. CoRR abs/1711.03536 (2017) - [i26]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
- [j22]Babak Saleh, Kanako Abe, Ravneet Singh Arora, Ahmed M. Elgammal:
Toward automated discovery of artistic influence. Multim. Tools Appl. 75(7): 3565-3591 (2016) - [j21]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) - [j20]Chan-Su Lee, Ahmed M. Elgammal, Marwan Torki:
Learning representations from multiple manifolds. Pattern Recognit. 50: 74-87 (2016) - [j19]Sheng Huang, Yu Yang, Dan Yang, Ahmed M. Elgammal, Dong Yang:
Collaborative Graph Embedding: A Simple Way to Generally Enhance Subspace Learning Algorithms. IEEE Trans. Circuits Syst. Video Technol. 26(10): 1835-1845 (2016) - [c102]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 - [c101]Babak Saleh, Ahmed M. Elgammal, Jacob Feldman, Ali Farhadi:
Toward a Taxonomy and Computational Models of Abnormalities in Images. AAAI 2016: 3588-3596 - [c100]Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal:
Automatic Annotation of Structured Facts in Images. VL@ACL 2016 - [c99]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 - [c98]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 - [c97]Babak Saleh, Ahmed M. Elgammal, Jacob Feldman:
Incorporating Prototype Theory in Convolutional Neural Networks. IJCAI 2016: 3446-3453 - [c96]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 - [c95]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 - [i25]Mohamed Elhoseiny, Ahmed M. Elgammal, Babak Saleh:
Write a Classifier: Predicting Visual Classifiers from Unstructured Text Descriptions. CoRR abs/1601.00025 (2016) - [i24]Praneeth Vepakomma, Chetan Tonde, Ahmed M. Elgammal:
Supervised Dimensionality Reduction via Distance Correlation Maximization. CoRR abs/1601.00236 (2016) - [i23]Chetan Tonde, Ahmed M. Elgammal:
Learning Kernels for Structured Prediction using Polynomial Kernel Transformations. CoRR abs/1601.01411 (2016) - [i22]Amr Bakry, Ahmed M. Elgammal:
Manifold-Kernels Comparison in MKPLS for Visual Speech Recognition. CoRR abs/1601.05861 (2016) - [i21]Babak Saleh, Ahmed M. Elgammal, Jacob Feldman:
The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks. CoRR abs/1602.02865 (2016) - [i20]Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal:
Automatic Annotation of Structured Facts in Images. CoRR abs/1604.00466 (2016) - [i19]Gabriel Moyà Alcover, Ahmed Elgammal, Antoni Jaume-i-Capó, Javier Varona:
Modelling depth for nonparametric foreground segmentation using RGBD devices. CoRR abs/1609.09240 (2016) - 2015
- [j18]Xi Peng, Junzhou Huang, Qiong Hu, Shaoting Zhang, Ahmed M. Elgammal, Dimitris N. Metaxas:
From circle to 3-sphere: Head pose estimation by instance parameterization. Comput. Vis. Image Underst. 136: 92-102 (2015) - [j17]Haopeng Zhang, Tarek El-Gaaly, Ahmed M. Elgammal, Zhiguo Jiang:
Factorization of view-object manifolds for joint object recognition and pose estimation. Comput. Vis. Image Underst. 139: 89-103 (2015) - [j16]Mohamed Elhoseiny, Ahmed M. Elgammal:
Generalized Twin Gaussian processes using Sharma-Mittal divergence. Mach. Learn. 100(2-3): 399-424 (2015) - [j15]Haopeng Zhang, Zhiguo Jiang, Ahmed M. Elgammal:
Satellite recognition and pose estimation using homeomorphic manifold analysis. IEEE Trans. Aerosp. Electron. Syst. 51(1): 785-792 (2015) - [j14]Sheng Huang, Ahmed M. Elgammal, Jiwen Lu, Dan Yang:
Cross-Speed Gait Recognition Using Speed-Invariant Gait Templates and Globality-Locality Preserving Projections. IEEE Trans. Inf. Forensics Secur. 10(10): 2071-2083 (2015) - [c94]Tarek El-Gaaly, Vicky Froyen, Ahmed M. Elgammal, Jacob Feldman, Manish Singh:
A Bayesian Approach to Perceptual 3D Object-Part Decomposition Using Skeleton-Based Representations. AAAI 2015: 3762-3768 - [c93]Mohamed Elhoseiny, Ahmed M. Elgammal:
Visual Classifier Prediction by Distributional Semantic Embedding of Text Descriptions. VL@EMNLP 2015: 48-50 - [c92]Mohamed Elhoseiny, Ahmed M. Elgammal:
Overlapping Domain Cover for Scalable and Accurate Regression Kernel Machines. BMVC 2015: 94.1-94.12 - [c91]Sheng Huang, Mohamed Elhoseiny, Ahmed M. Elgammal, Dan Yang:
Learning Hypergraph-regularized Attribute Predictors. CVPR 2015: 409-417 - [c90]Ahmed M. Elgammal, Babak Saleh:
Quantifying Creativity in Art Networks. ICCC 2015: 39-46 - [c89]Babak Saleh, Ahmed M. Elgammal:
A Unified Framework for Painting Classification. ICDM Workshops 2015: 1254-1261 - [c88]Mohamed Elhoseiny, Sheng Huang, Ahmed M. Elgammal:
Weather classification with deep convolutional neural networks. ICIP 2015: 3349-3353 - [c87]Praneeth Vepakomma, Ahmed M. Elgammal:
Iterative Embedding with Robust Correction using Feedback of Error Observed. MLIS@ICML 2015: 36-40 - [c86]Sheng Huang, Mingchen Gao, Dan Yang, Xiaolei Huang, Ahmed M. Elgammal, Xiaohong Zhang:
Unbalanced graph-based transduction on superpixels for automatic cervigram image segmentation. ISBI 2015: 1556-1559 - [r4]Ahmed M. Elgammal:
Gait Recognition, Motion Analysis for. Encyclopedia of Biometrics 2015: 805-813 - [r3]Ahmed M. Elgammal, Crystal Muang, Dunxu Hu:
Skin Detection. Encyclopedia of Biometrics 2015: 1407-1414 - [i18]Sheng Huang, Mohamed Elhoseiny, Ahmed M. Elgammal, Dan Yang:
Learning Hypergraph-regularized Attribute Predictors. CoRR abs/1503.05782 (2015) - [i17]Haopeng Zhang, Tarek El-Gaaly, Ahmed M. Elgammal, Zhiguo Jiang:
Factorization of View-Object Manifolds for Joint Object Recognition and Pose Estimation. CoRR abs/1503.06813 (2015) - [i16]Babak Saleh, Ahmed M. Elgammal:
Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature. CoRR abs/1505.00855 (2015) - [i15]Ahmed M. Elgammal, Babak Saleh:
Quantifying Creativity in Art Networks. CoRR abs/1506.00711 (2015) - [i14]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) - [i13]Mohamed Elhoseiny, Scott Cohen, Walter Chang, Brian L. Price, Ahmed M. Elgammal:
Sherlock: Modeling Structured Knowledge in Images. CoRR abs/1511.04891 (2015) - [i12]Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry, Ahmed M. Elgammal:
Convolutional Models for Joint Object Categorization and Pose Estimation. CoRR abs/1511.05175 (2015) - [i11]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) - [i10]Babak Saleh, Ahmed M. Elgammal, Jacob Feldman, Ali Farhadi:
Toward a Taxonomy and Computational Models of Abnormalities in Images. CoRR abs/1512.01325 (2015) - 2014
- [b1]Ahmed M. Elgammal:
Background Subtraction: Theory and Practice. Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00685-2, pp. 1-83 - [c85]Sheng Huang, Ahmed M. Elgammal, Luwen Huangfu, Dan Yang, Xiaohong Zhang:
Globality-Locality Preserving Projections for Biometric Data Dimensionality Reduction. CVPR Workshops 2014: 15-20 - [c84]Chetan Tonde, Ahmed M. Elgammal:
Simultaneous Twin Kernel Learning Using Polynomial Transformations for Structured Prediction. CVPR 2014: 995-1002 - [c83]Emily L. Spratt, Ahmed M. Elgammal:
Computational Beauty: Aesthetic Judgment at the Intersection of Art and Science. ECCV Workshops (1) 2014: 35-53 - [c82]Amr Bakry, Ahmed M. Elgammal:
Untangling Object-View Manifold for Multiview Recognition and Pose Estimation. ECCV (4) 2014: 434-449 - [c81]Babak Saleh, Kanako Abe, Ahmed M. Elgammal:
Knowledge Discovery of Artistic Influences: A Metric Learning Approach. ICCC 2014: 163-172 - [c80]Sheng Huang, Mohamed Elhoseiny, Ahmed M. Elgammal, Dan Yang:
Improving non-negative matrix factorization via ranking its bases. ICIP 2014: 5951-5955 - [c79]Turgay Senlet, Tarek El-Gaaly, Ahmed M. Elgammal:
Hierarchical Semantic Hashing: Visual Localization from Buildings on Maps. ICPR 2014: 2990-2995 - [c78]Tarek El-Gaaly, Marwan Torki, Ahmed M. Elgammal:
Spatial-Visual Label Propagation for Local Feature Classification. ICPR 2014: 3422-3427 - [c77]Turgay Senlet, Ahmed M. Elgammal:
Design of a vision-based autonomous robot for street navigation. SIU 2014: 862-865 - [i9]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) - [i8]Babak Saleh, Kanako Abe, Ravneet Singh Arora, Ahmed M. Elgammal:
Toward Automated Discovery of Artistic Influence. CoRR abs/1408.3218 (2014) - [i7]Mohamed Elhoseiny, Ahmed M. Elgammal:
Generalized Twin Gaussian Processes using Sharma-Mittal Divergence. CoRR abs/1409.7480 (2014) - [i6]Emily L. Spratt, Ahmed M. Elgammal:
Computational Beauty: Aesthetic Judgment at the Intersection of Art and Science. CoRR abs/1410.2488 (2014) - [i5]Sheng Huang, Ahmed M. Elgammal, Dan Yang:
On The Effect of Hyperedge Weights On Hypergraph Learning. CoRR abs/1410.6736 (2014) - [i4]Babak Saleh, Ali Farhadi, Ahmed M. Elgammal:
Abnormal Object Recognition: A Comprehensive Study. CoRR abs/1411.2214 (2014) - [i3]Emily L. Spratt, Ahmed M. Elgammal:
The Digital Humanities Unveiled: Perceptions Held by Art Historians and Computer Scientists about Computer Vision Technology. CoRR abs/1411.6714 (2014) - 2013
- [j13]Ahmed M. Elgammal, Chan-Su Lee:
Homeomorphic Manifold Analysis (HMA): Generalized separation of style and content on manifolds. Image Vis. Comput. 31(4): 291-310 (2013) - [c76]Haopeng Zhang, Tarek El-Gaaly, Ahmed M. Elgammal, Zhiguo Jiang:
Joint Object and Pose Recognition Using Homeomorphic Manifold Analysis. AAAI 2013: 1012-1019 - [c75]Sheng Huang, Ahmed M. Elgammal, Dan Yang:
Learning Speed Invariant Gait Template via Thin Plate Spline Kernel Manifold Fitting. BMVC 2013 - [c74]Amr Bakry, Ahmed M. Elgammal:
MKPLS: Manifold Kernel Partial Least Squares for Lipreading and Speaker Identification. CVPR 2013: 684-691 - [c73]Babak Saleh, Ali Farhadi, Ahmed M. Elgammal:
Object-Centric Anomaly Detection by Attribute-Based Reasoning. CVPR 2013: 787-794 - [c72]Mohamed Elhoseiny, Amr Bakry, Ahmed M. Elgammal:
MultiClass Object Classification in Video Surveillance Systems - Experimental Study. CVPR Workshops 2013: 788-793 - [c71]Ishani Chakraborty, Ahmed M. Elgammal, Randall S. Burd:
Video based activity recognition in trauma resuscitation. FG 2013: 1-8 - [c70]Ali Elqursh, Ahmed M. Elgammal:
Online Motion Segmentation Using Dynamic Label Propagation. ICCV 2013: 2008-2015 - [c69]Mohamed Elhoseiny, Babak Saleh, Ahmed M. Elgammal:
Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions. ICCV 2013: 2584-2591 - [c68]