Face Detection in Complex Environments from Color Images. - Mohamed Abdel-Mottaleb; Ahmed M. Elgammal (ICIP (3), 1999)

Non-parametric Model for Background Subtraction. - Ahmed M. Elgammal; David Harwood; Larry S. Davis (ECCV (2), 2000)

Efficient Non-Parametric Adaptive Color Modeling Using Fast Gauss Transform. - Ahmed M. Elgammal; Ramani Duraiswami; Larry S. Davis (CVPR (2), 2001)

Probabilistic Framework for Segmenting People Under Occlusion. - Ahmed M. Elgammal; Larry S. Davis (ICCV, 2001)

A Graph-Based Segmentation and Feature-Extraction Framework for Arabic Text Recognition. - Ahmed M. Elgammal; Mohamed A. Ismail (ICDAR, 2001)

Techniques for Language Identification for Hybrid Arabic-English Document Images. - Ahmed M. Elgammal; Mohamed A. Ismail (ICDAR, 2001)

Gesture recognition using a probabilistic framework for pose matching. - Ahmed M. Elgammal; Vhay Shet; Yaser Yacoob; Larry S. Davis (ICARCV, 2002)

Background and foreground modeling using nonparametric kernel density estimation for visual surveillance. - Ahmed Elgammal; Ramani Duraiswami; David Harwood; Larry S. Davis (Proc. IEEE, 2002)

A Scalable Image-Based Multi-Camera Visual Surveillance System. - Ser-Nam Lim; Larry S. Davis; Ahmed M. Elgammal (AVSS, 2003)

Probabilistic Tracking in Joint Feature-Spatial Spaces. - Ahmed M. Elgammal; Ramani Duraiswami; Larry S. Davis (CVPR (1), 2003)

Learning Dynamics for Exemplar-based Gesture Recognition . - Ahmed M. Elgammal; Vinay D. Shet; Yaser Yacoob; Larry S. Davis (CVPR (1), 2003)

Image-based pan-tilt camera control in a multi-camera surveillance environment. - Ser-Nam Lim; Ahmed M. Elgammal; Larry S. Davis (ICME, 2003)

Efficient Kernel Density Estimation Using the Fast Gauss Transform with Applications to Color Modeling and Tracking. - Ahmed M. Elgammal; Ramani Duraiswami; Larry S. Davis (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Nonlinear Generative Models for Dynamic Shape and Dynamic Appearance. - Ahmed M. Elgammal (CVPR Workshops, 2004)

Separating Style and Content on a Nonlinear Manifold. - Ahmed M. Elgammal; Chan-Su Lee (CVPR (1), 2004)

Inferring 3D Body Pose from Silhouettes Using Activity Manifold Learning. - Ahmed M. Elgammal; Chan-Su Lee (CVPR (2), 2004)

Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-sampling. - Chan-Su Lee; Ahmed M. Elgammal (FGR, 2004)

Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition. - Vinay D. Shet; V. Shiv Naga Prasad; Ahmed M. Elgammal; Yaser Yacoob; Larry S. Davis (ICVGIP, 2004)

High Resolution Acquisition, Learning and Transfer of Dynamic 3D Facial Expressions. - Yang Wang 001; Xiaolei Huang 001; Chan-Su Lee; Song Zhang 002; Zhiguo Li; Dimitris Samaras; Dimitris N. Metaxas; Ahmed M. Elgammal; Peisen Huang (Comput. Graph. Forum, 2004)

Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression. - Ramana Isukapalli; Ahmed M. Elgammal; Russell Greiner (AMFG, 2005)

Facial Expression Analysis Using Nonlinear Decomposable Generative Models. - Chan-Su Lee; Ahmed M. Elgammal (AMFG, 2005)

Towards Scalable View-Invariant Gait Recognition: Multilinear Analysis for Gait. - Chan-Su Lee; Ahmed M. Elgammal (AVBPA, 2005)

Style Adaptive Bayesian Tracking Using Explicit Manifold Learning. - Chan-Su Lee; Ahmed M. Elgammal (BMVC, 2005)

Learning to Track: Conceptual Manifold Map for Closed-Form Tracking. - Ahmed M. Elgammal (CVPR (1), 2005)

Carrying Object Detection Using Pose Preserving Dynamic Shape Models. - Chan-Su Lee; Ahmed M. Elgammal (AMDO, 2006)

Human Motion Synthesis by Motion Manifold Learning and Motion Primitive Segmentation. - Chan-Su Lee; Ahmed M. Elgammal (AMDO, 2006)

Unsupervised Learning of Boosted Tree Classifier Using Graph Cuts for Hand Pose Recognition. - Toufiq Parag; Ahmed M. Elgammal (BMVC, 2006)

A Framework for Feature Selection for Background Subtraction. - Toufiq Parag; Ahmed M. Elgammal; Anurag Mittal (CVPR (2), 2006)

Discriminative Patch Selection using Combinatorial and Statistical Models for Patch-Based Object Recognition. - Akshay Vashist; Zhipeng Zhao; Ahmed M. Elgammal; Ilya B. Muchnik; Casimir A. Kulikowski (CVPR Workshops, 2006)

The Role of Manifold Learning in Human Motion Analysis. - Ahmed M. Elgammal; Chan-Su Lee (Human Motion, 2006)

Learning to Detect Objects of Many Classes Using Binary Classifiers. - Ramana Isukapalli; Ahmed M. Elgammal; Russell Greiner (ECCV (1), 2006)

Homeomorphic Manifold Analysis: Learning Decomposable Generative Models for Human Motion Analysis. - Chan-Su Lee; Ahmed M. Elgammal (WDV, 2006)

Learning to Identify Facial Expression During Detection Using Markov Decision Process. - Ramana Isukapalli; Ahmed M. Elgammal; Russell Greiner (FGR, 2006)

Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model. - Chan-Su Lee; Ahmed M. Elgammal (FGR, 2006)

Synthesis and Control of High Resolution Facial Expressions for Visual Interactions. - Chan-Su Lee; Ahmed M. Elgammal; Dimitris N. Metaxas (ICME, 2006)

Learning Policies for Efficiently Identifying Objects of Many Classes. - Ramana Isukapalli; Ahmed M. Elgammal; Russell Greiner (ICPR (3), 2006)

Nonlinear Shape and Appearance Models for Facial Expression Analysis and Synthesis. - Chan-Su Lee; Ahmed M. Elgammal (ICPR (1), 2006)

Simultaneous Inference of View and Body Pose using Torus Manifolds. - Chan-Su Lee; Ahmed M. Elgammal (ICPR (3), 2006)

A Statistically Selected Part-Based Probabilistic Model for Object Recognition. - Zhipeng Zhao; Ahmed M. Elgammal (IWICPAS, 2006)

Human-centered multimedia: representations and challenges. - Ahmed Elgammal (HCM@MM, 2006)

Learning nonlinear manifolds of dynamic textures. - Ishan Awasthi; Ahmed M. Elgammal (VISAPP (1), 2006)

Indoor Localization Using Camera Phones. - Nishkam Ravi; Pravin Shankar; Andrew Frankel; Ahmed M. Elgammal; Liviu Iftode (WMCSA Supplement, 2006)

Edge affinity for pose-contour matching. - V. Shiv Naga Prasad; Larry S. Davis; Son Dinh Tran; Ahmed M. Elgammal (Comput. Vis. Image Underst., 2006)

Modeling View and Posture Manifolds for Tracking. - Chan-Su Lee; Ahmed M. Elgammal (ICCV, 2007)

Nonlinear Dynamic Shape and Appearance Models for Facial Motion Tracking. - Chan-Su Lee; Ahmed M. Elgammal; Dimitris N. Metaxas (PSIVT, 2007)

Nonlinear manifold learning for dynamic shape and dynamic appearance. - Ahmed M. Elgammal; Chan-Su Lee (Comput. Vis. Image Underst., 2007)

Combinatorial and statistical methods for part selection for object recognition. - Zhipeng Zhao; Akshay Vashist; Ahmed M. Elgammal; Ilya B. Muchnik; Casimir A. Kulikowski (Int. J. Comput. Math., 2007)

Information Theoretic Key Frame Selection for Action Recognition. - Zhipeng Zhao; Ahmed M. Elgammal (BMVC, 2008)

Boosting adaptive linear weak classifiers for online learning and tracking. - Toufiq Parag; Fatih Porikli; Ahmed M. Elgammal (CVPR, 2008)

Spatiotemporal pyramid representation for recognition of facial expressions and hand gestures. - Zhipeng Zhao; Ahmed M. Elgammal (FG, 2008)

Object localization using affine invariant substructure constraints. - Ishani Chakraborty; Ahmed M. Elgammal (ICPR, 2008)

Human activity recognition from frame's spatiotemporal representation. - Zhipeng Zhao; Ahmed M. Elgammal (ICPR, 2008)

Contour Segment Matching by Integrating Intra and Inter Shape Cues of Objects. - Ishani Chakraborty; Ahmed M. Elgammal (BMVC, 2009)

Dynamic shape outlier detection for human locomotion. - Chan-Su Lee; Ahmed M. Elgammal (Comput. Vis. Image Underst., 2009)

Introduction to computer vision and image understanding the special issue on video analysis. - Qingshan Liu 001; Xuelong Li 001; Ahmed M. Elgammal; Xian-Sheng Hua 001; Dong Xu 001; Dacheng Tao (Comput. Vis. Image Underst., 2009)

Tracking People on a Torus. - Ahmed M. Elgammal; Chan-Su Lee (IEEE Trans. Pattern Anal. Mach. Intell., 2009)

Gait Recognition, Motion Analysis for. - Ahmed M. Elgammal (Encyclopedia of Biometrics, 2009)

Skin Detection. - Ahmed M. Elgammal; Crystal Muang; Dunxu Hu (Encyclopedia of Biometrics, 2009)

Putting local features on a manifold. - Marwan Torki; Ahmed M. Elgammal (CVPR, 2010)

One-shot multi-set non-rigid feature-spatial matching. - Marwan Torki; Ahmed M. Elgammal (CVPR, 2010)

Object Localization by Propagating Connectivity via Superfeatures. - Ishani Chakraborty; Ahmed M. Elgammal (ICPR, 2010)

Learning a Joint Manifold Representation from Multiple Data Sets. - Marwan Torki; Ahmed M. Elgammal; Chan-Su Lee (ICPR, 2010)

Coupled Visual and Kinematic Manifold Models for Tracking. - Chan-Su Lee; Ahmed M. Elgammal (Int. J. Comput. Vis., 2010)

Dynamic Shape Style Analysis: Bilinear and Multilinear Human Identification with Temporal Normalization. - Chan-Su Lee; Ahmed M. Elgammal (Int. J. Pattern Recognit. Artif. Intell., 2010)

Figure-Ground Segmentation - Pixel-Based. - Ahmed M. Elgammal (Visual Analysis of Humans, 2011)

Line-based relative pose estimation. - Ali Elqursh; Ahmed M. Elgammal (CVPR, 2011)

Supervised hypergraph labeling. - Toufiq Parag; Ahmed M. Elgammal (CVPR, 2011)

Regression from local features for viewpoint and pose estimation. - Marwan Torki; Ahmed M. Elgammal (ICCV, 2011)

A framework for global vehicle localization using stereo images and satellite and road maps. - Turgay Senlet; Ahmed M. Elgammal (ICCV Workshops, 2011)

Higher Order Markov Networks for Model Estimation. - Toufiq Parag; Ahmed M. Elgammal (ISVC (1), 2011)

The cyber-physical bike: a step towards safer green transportation. - Stephen Smaldone; Chetan Tonde; Vancheswaran K. Ananthanarayanan; Ahmed M. Elgammal; Liviu Iftode (HotMobile, 2011)

Learning Hypergraph Labeling for Feature Matching - Toufiq Parag; Vladimir Pavlovic 001; Ahmed M. Elgammal (CoRR, 2011)

Online Moving Camera Background Subtraction. - Ali Elqursh; Ahmed M. Elgammal (ECCV (6), 2012)

Towards automated classification of fine-art painting style: A comparative study. - Ravneet Singh Arora; Ahmed M. Elgammal (ICPR, 2012)

Video figure ground labeling. - Ali Elqursh; Ahmed M. Elgammal (ICPR, 2012)

Single axis relative rotation from orthogonal lines. - Ali Elqursh; Ahmed M. Elgammal (ICPR, 2012)

Segmentation of occluded sidewalks in satellite images. - Turgay Senlet; Ahmed M. Elgammal (ICPR, 2012)

Satellite image based precise robot localization on sidewalks. - Turgay Senlet; Ahmed M. Elgammal (ICRA, 2012)

English2MindMap: An Automated System for MindMap Generation from English Text. - Mohamed Elhoseiny; Ahmed M. Elgammal (ISM, 2012)

Style adaptive contour tracking of human gait using explicit manifold models. - Chan-Su Lee; Ahmed M. Elgammal (Mach. Vis. Appl., 2012)

Joint Object and Pose Recognition Using Homeomorphic Manifold Analysis. - Haopeng Zhang 001; Tarek El-Gaaly; Ahmed M. Elgammal; Zhiguo Jiang 001 (AAAI, 2013)

Learning Speed Invariant Gait Template via Thin Plate Spline Kernel Manifold Fitting. - Sheng Huang 001; Ahmed M. Elgammal; Dan Yang 001 (BMVC, 2013)

MKPLS: Manifold Kernel Partial Least Squares for Lipreading and Speaker Identification. - Amr Bakry; Ahmed M. Elgammal (CVPR, 2013)

MultiClass Object Classification in Video Surveillance Systems - Experimental Study. - Mohamed Elhoseiny; Amr Bakry; Ahmed M. Elgammal (CVPR Workshops, 2013)

Object-Centric Anomaly Detection by Attribute-Based Reasoning. - Babak Saleh; Ali Farhadi; Ahmed M. Elgammal (CVPR, 2013)

Video based activity recognition in trauma resuscitation. - Ishani Chakraborty; Ahmed M. Elgammal; Randall S. Burd (FG, 2013)

Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions. - Mohamed Elhoseiny; Babak Saleh; Ahmed M. Elgammal (ICCV, 2013)

Online Motion Segmentation Using Dynamic Label Propagation. - Ali Elqursh; Ahmed M. Elgammal (ICCV, 2013)

An Early Framework for Determining Artistic Influence. - Kanako Abe; Babak Saleh; Ahmed M. Elgammal (ICIAP Workshops, 2013)

Visual-Semantic Scene Understanding by Sharing Labels in a Context Network. - Ishani Chakraborty; Ahmed M. Elgammal (CoRR, 2013)

Homeomorphic Manifold Analysis (HMA): Generalized separation of style and content on manifolds. - Ahmed M. Elgammal; Chan-Su Lee (Image Vis. Comput., 2013)

Globality-Locality Preserving Projections for Biometric Data Dimensionality Reduction. - Sheng Huang 001; Ahmed M. Elgammal; Luwen Huangfu; Dan Yang 001; Xiaohong Zhang 002 (CVPR Workshops, 2014)

Simultaneous Twin Kernel Learning Using Polynomial Transformations for Structured Prediction. - Chetan Tonde; Ahmed M. Elgammal (CVPR, 2014)

Untangling Object-View Manifold for Multiview Recognition and Pose Estimation. - Amr Bakry; Ahmed M. Elgammal (ECCV (4), 2014)

Computational Beauty: Aesthetic Judgment at the Intersection of Art and Science. - Emily L. Spratt; Ahmed M. Elgammal (ECCV Workshops (1), 2014)

Knowledge Discovery of Artistic Influences: A Metric Learning Approach. - Babak Saleh; Kanako Abe; Ahmed M. Elgammal (ICCC, 2014)

Improving non-negative matrix factorization via ranking its bases. - Sheng Huang 001; Mohamed Elhoseiny; Ahmed M. Elgammal; Dan Yang 001 (ICIP, 2014)

Spatial-Visual Label Propagation for Local Feature Classification. - Tarek El-Gaaly; Marwan Torki; Ahmed M. Elgammal (ICPR, 2014)

Hierarchical Semantic Hashing: Visual Localization from Buildings on Maps. - Turgay Senlet; Tarek El-Gaaly; Ahmed M. Elgammal (ICPR, 2014)

Design of a vision-based autonomous robot for street navigation. - Turgay Senlet; Ahmed M. Elgammal (SIU, 2014)

Text to Multi-level MindMaps: A New Way for Interactive Visualization and Summarization of Natural Language Text. - Mohamed Elhoseiny; Ahmed M. Elgammal (CoRR, 2014)

Abnormal Object Recognition: A Comprehensive Study. - Babak Saleh; Ali Farhadi; Ahmed M. Elgammal (CoRR, 2014)

The Digital Humanities Unveiled: Perceptions Held by Art Historians and Computer Scientists about Computer Vision Technology. - Emily L. Spratt; Ahmed M. Elgammal (CoRR, 2014)

Background Subtraction: Theory and Practice - Ahmed M. Elgammal (Background Subtraction, 2014)

A Bayesian Approach to Perceptual 3D Object-Part Decomposition Using Skeleton-Based Representations. - Tarek El-Gaaly; Vicky Froyen; Ahmed M. Elgammal; Jacob Feldman; Manish Singh 001 (AAAI, 2015)

Visual Classifier Prediction by Distributional Semantic Embedding of Text Descriptions. - Mohamed Elhoseiny; Ahmed M. Elgammal (VL@EMNLP, 2015)

Overlapping Domain Cover for Scalable and Accurate Regression Kernel Machines. - Mohamed Elhoseiny; Ahmed M. Elgammal (BMVC, 2015)

Learning Hypergraph-regularized Attribute Predictors. - Sheng Huang 001; Mohamed Elhoseiny; Ahmed M. Elgammal; Dan Yang 001 (CVPR, 2015)

Quantifying Creativity in Art Networks. - Ahmed M. Elgammal; Babak Saleh (ICCC, 2015)

A Unified Framework for Painting Classification. - Babak Saleh; Ahmed M. Elgammal (ICDM Workshops, 2015)

Weather classification with deep convolutional neural networks. - Mohamed Elhoseiny; Sheng Huang 001; Ahmed M. Elgammal (ICIP, 2015)

Iterative Embedding with Robust Correction using Feedback of Error Observed. - Praneeth Vepakomma; Ahmed M. Elgammal (MLIS@ICML, 2015)

Unbalanced graph-based transduction on superpixels for automatic cervigram image segmentation. - Sheng Huang 001; Mingchen Gao; Dan Yang 001; Xiaolei Huang 001; Ahmed M. Elgammal; Xiaohong Zhang 002 (ISBI, 2015)

Sherlock: Modeling Structured Knowledge in Images. - Mohamed Elhoseiny; Scott Cohen; Walter Chang; Brian L. Price; Ahmed M. Elgammal (CoRR, 2015)

Convolutional Models for Joint Object Categorization and Pose Estimation. - Mohamed Elhoseiny; Tarek El-Gaaly; Amr Bakry; Ahmed M. Elgammal (CoRR, 2015)

Tell and Predict: Kernel Classifier Prediction for Unseen Visual Classes from Unstructured Text Descriptions. - Mohamed Elhoseiny; Ahmed M. Elgammal; Babak Saleh (CoRR, 2015)

Large-scale Classification of Fine-Art Paintings: Learning The Right Metric on The Right Feature. - Babak Saleh; Ahmed M. Elgammal (CoRR, 2015)

From circle to 3-sphere: Head pose estimation by instance parameterization. - Xi Peng 005; Junzhou Huang; Qiong Hu 001; Shaoting Zhang 001; Ahmed M. Elgammal; Dimitris N. Metaxas (Comput. Vis. Image Underst., 2015)

Factorization of view-object manifolds for joint object recognition and pose estimation. - Haopeng Zhang 001; Tarek El-Gaaly; Ahmed M. Elgammal; Zhiguo Jiang 001 (Comput. Vis. Image Underst., 2015)

Generalized Twin Gaussian processes using Sharma-Mittal divergence. - Mohamed Elhoseiny; Ahmed M. Elgammal (Mach. Learn., 2015)

Satellite recognition and pose estimation using homeomorphic manifold analysis. - Haopeng Zhang 001; Zhiguo Jiang 001; Ahmed M. Elgammal (IEEE Trans. Aerosp. Electron. Syst., 2015)

Cross-Speed Gait Recognition Using Speed-Invariant Gait Templates and Globality-Locality Preserving Projections. - Sheng Huang 001; Ahmed M. Elgammal; Jiwen Lu; Dan Yang 001 (IEEE Trans. Inf. Forensics Secur., 2015)

Gait Recognition, Motion Analysis for. - Ahmed M. Elgammal (Encyclopedia of Biometrics, 2015)

Skin Detection. - Ahmed M. Elgammal; Crystal Muang; Dunxu Hu (Encyclopedia of Biometrics, 2015)

Zero-Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos. - Mohamed Elhoseiny; Jingen Liu; Hui Cheng; Harpreet S. Sawhney; Ahmed M. Elgammal (AAAI, 2016)

Toward a Taxonomy and Computational Models of Abnormalities in Images. - Babak Saleh; Ahmed M. Elgammal; Jacob Feldman; Ali Farhadi (AAAI, 2016)

Automatic Annotation of Structured Facts in Images. - Mohamed Elhoseiny; Scott Cohen; Walter Chang; Brian L. Price; Ahmed M. Elgammal (VL@ACL, 2016)

SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-Grained Recognition. - Han Zhang 010; Tao Xu; Mohamed Elhoseiny; Xiaolei Huang 001; Shaoting Zhang 001; Ahmed M. Elgammal; Dimitris N. Metaxas (CVPR, 2016)

A Comparative Analysis and Study of Multiview CNN Models for Joint Object Categorization and Pose Estimation. - Mohamed Elhoseiny; Tarek El-Gaaly; Amr Bakry; Ahmed M. Elgammal (ICML, 2016)

Incorporating Prototype Theory in Convolutional Neural Networks. - Babak Saleh; Ahmed M. Elgammal; Jacob Feldman (IJCAI, 2016)

Joint object recognition and pose estimation using a nonlinear view-invariant latent generative model. - Amr Bakry; Tarek El-Gaaly; Mohamed Elhoseiny; Ahmed M. Elgammal (WACV, 2016)

Modelling depth for nonparametric foreground segmentation using RGBD devices. - Gabriel Moyà Alcover; Ahmed Elgammal; Antoni Jaume-i-Capó; Javier Varona (CoRR, 2016)

Manifold-Kernels Comparison in MKPLS for Visual Speech Recognition. - Amr Bakry; Ahmed M. Elgammal (CoRR, 2016)

Digging Deep into the Layers of CNNs: In Search of How CNNs Achieve View Invariance. - Amr Bakry; Mohamed Elhoseiny; Tarek El-Gaaly; Ahmed M. Elgammal (ICLR (Poster), 2016)

Write a Classifier: Predicting Visual Classifiers from Unstructured Text Descriptions. - Mohamed Elhoseiny; Ahmed M. Elgammal; Babak Saleh (CoRR, 2016)

The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks. - Babak Saleh; Ahmed M. Elgammal; Jacob Feldman (CoRR, 2016)

Learning Kernels for Structured Prediction using Polynomial Kernel Transformations. - Chetan Tonde; Ahmed M. Elgammal (CoRR, 2016)

Supervised Dimensionality Reduction via Distance Correlation Maximization. - Praneeth Vepakomma; Chetan Tonde; Ahmed M. Elgammal (CoRR, 2016)

Text to multi-level MindMaps - A novel method for hierarchical visual abstraction of natural language text. - Mohamed Elhoseiny; Ahmed M. Elgammal (Multim. Tools Appl., 2016)

Toward automated discovery of artistic influence. - Babak Saleh; Kanako Abe; Ravneet Singh Arora; Ahmed M. Elgammal (Multim. Tools Appl., 2016)

Learning representations from multiple manifolds. - Chan-Su Lee; Ahmed M. Elgammal; Marwan Torki (Pattern Recognit., 2016)

Collaborative Graph Embedding: A Simple Way to Generally Enhance Subspace Learning Algorithms. - Sheng Huang 001; Yu Yang 010; Dan Yang 001; Ahmed M. Elgammal; Dong Yang (IEEE Trans. Circuits Syst. Video Technol., 2016)

Sherlock: Scalable Fact Learning in Images. - Mohamed Elhoseiny; Scott Cohen; Walter Chang; Brian L. Price; Ahmed M. Elgammal (AAAI, 2017)

Link the Head to the "Beak": Zero Shot Learning from Noisy Text Description at Part Precision. - Mohamed Elhoseiny; Yizhe Zhu; Han Zhang 010; Ahmed M. Elgammal (CVPR, 2017)

Relationship Proposal Networks. - Ji Zhang; Mohamed Elhoseiny; Scott Cohen; Walter Chang; Ahmed M. Elgammal (CVPR, 2017)

CAN: Creative Adversarial Networks, Generating "Art" by Learning About Styles and Deviating from Style Norms. - Ahmed M. Elgammal; Bingchen Liu; Mohamed Elhoseiny; Marian Mazzone (ICCC, 2017)

A Multilayer-Based Framework for Online Background Subtraction with Freely Moving Cameras. - Yizhe Zhu; Ahmed M. Elgammal (ICCV, 2017)

Overlapping Cover Local Regression Machines. - Mohamed Elhoseiny; Ahmed M. Elgammal (CoRR, 2017)

Imagine it for me: Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts. - Yizhe Zhu; Mohamed Elhoseiny; Bingchen Liu; Ahmed M. Elgammal (CoRR, 2017)

On the effect of hyperedge weights on hypergraph learning. - Sheng Huang 001; Ahmed M. Elgammal; Dan Yang 001 (Image Vis. Comput., 2017)

Write a Classifier: Predicting Visual Classifiers from Unstructured Text. - Mohamed Elhoseiny; Ahmed M. Elgammal; Babak Saleh (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Modeling depth for nonparametric foreground segmentation using RGBD devices. - Gabriel Moyà Alcover; Ahmed Elgammal; Antoni Jaume-i-Capó; Javier Varona (Pattern Recognit. Lett., 2017)

Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication. - Ahmed Elgammal; Yan Kang 004; Milko Den Leeuw (AAAI, 2018)

The Shape of Art History in the Eyes of the Machine. - Ahmed Elgammal; Bingchen Liu; Diana Kim; Mohamed Elhoseiny; Marian Mazzone (AAAI, 2018)

A Generative Adversarial Approach for Zero-Shot Learning From Noisy Texts. - Yizhe Zhu; Mohamed Elhoseiny; Bingchen Liu; Xi Peng 005; Ahmed Elgammal (CVPR, 2018)

Disconnected Manifold Learning for Generative Adversarial Networks. - Mahyar Khayatkhoei; Maneesh Singh 001; Ahmed Elgammal (NeurIPS, 2018)

Finding Principal Semantics of Style in Art. - Diana Kim; Bingchen Liu; Ahmed Elgammal; Marian Mazzone (ICSC, 2018)

Introduction to the 1st Place Winning Model of OpenImages Relationship Detection Challenge. - Ji Zhang; Kevin J. Shih; Andrew Tao; Bryan Catanzaro; Ahmed Elgammal (CoRR, 2018)

An Interpretable Model for Scene Graph Generation. - Ji Zhang; Kevin J. Shih; Andrew Tao; Bryan Catanzaro; Ahmed Elgammal (CoRR, 2018)

Large-Scale Visual Relationship Understanding. - Ji Zhang; Yannis Kalantidis; Marcus Rohrbach; Manohar Paluri; Ahmed Elgammal; Mohamed Elhoseiny (AAAI, 2019)

Graphical Contrastive Losses for Scene Graph Parsing. - Ji Zhang; Kevin J. Shih; Ahmed Elgammal; Andrew Tao; Bryan Catanzaro (CVPR, 2019)

Computational Analysis of Content in Fine Art Paintings. - Diana Kim; Jason Xu; Ahmed Elgammal; Marian Mazzone (ICCC, 2019)

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning. - Yizhe Zhu; Jianwen Xie; Bingchen Liu; Ahmed Elgammal (ICCV, 2019)

Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. - Yizhe Zhu; Jianwen Xie; Zhiqiang Tang 001; Xi Peng 005; Ahmed Elgammal (NeurIPS, 2019)

Learning where to look: Semantic-Guided Multi-Attention Localization for Zero-Shot Learning. - Yizhe Zhu; Jianwen Xie; Zhiqiang Tang 001; Xi Peng 005; Ahmed Elgammal (CoRR, 2019)

Graphical Contrastive Losses for Scene Graph Generation. - Ji Zhang; Kevin J. Shih; Ahmed Elgammal; Andrew Tao; Bryan Catanzaro (CoRR, 2019)

Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning. - Yizhe Zhu; Jianwen Xie; Bingchen Liu; Ahmed Elgammal (CoRR, 2019)

2nd Place Solution to the GQA Challenge 2019. - Shijie Geng; Ji Zhang; Hang Zhang; Ahmed Elgammal; Dimitris N. Metaxas (CoRR, 2019)

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. - Bingchen Liu; Yizhe Zhu; Zuohui Fu; Gerard de Melo; Ahmed Elgammal (AAAI, 2020)

Sketch-to-Art: Synthesizing Stylized Art Images from Sketches. - Bingchen Liu; Kunpeng Song; Yizhe Zhu; Ahmed Elgammal (ACCV (6), 2020)

ULMFiT replication. - Mohamed Abdellatif; Ahmed Elgammal (LREC, 2020)

Sketch-to-Art: Synthesizing Stylized Art Images From Sketches. - Bingchen Liu; Kunpeng Song; Ahmed Elgammal (CoRR, 2020)

TIME: Text and Image Mutual-Translation Adversarial Networks. - Bingchen Liu; Kunpeng Song; Yizhe Zhu; Gerard de Melo; Ahmed Elgammal (AAAI, 2021)

Self-Supervised Sketch-to-Image Synthesis. - Bingchen Liu; Yizhe Zhu; Kunpeng Song; Ahmed Elgammal (AAAI, 2021)

Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis. - Bingchen Liu; Yizhe Zhu; Kunpeng Song; Ahmed Elgammal (ICLR, 2021)

Spatial Frequency Bias in Convolutional Generative Adversarial Networks. - Mahyar Khayatkhoei; Ahmed Elgammal (AAAI, 2022)

Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models. - Diana Kim; Ahmed Elgammal; Marian Mazzone (AAAI, 2022)

Formal Analysis of Art: Proxy Learning of Visual Concepts from Style Through Language Models. - Diana Kim; Ahmed Elgammal; Marian Mazzone (CoRR, 2022)

Diffusion Guided Domain Adaptation of Image Generators. - Kunpeng Song; Ligong Han; Bingchen Liu; Dimitris N. Metaxas; Ahmed Elgammal (CoRR, 2022)

AI Art Neural Constellation: Revealing the Collective and Contrastive State of AI-Generated and Human Art. - Faizan Farooq Khan; Diana Kim; Divyansh Jha; Youssef Mohamed; Hanna H. Chang; Ahmed Elgammal; Luba Elliott; Mohamed Elhoseiny (CVPR Workshops, 2024)

MoMA: Multimodal LLM Adapter for Fast Personalized Image Generation. - Kunpeng Song; Yizhe Zhu; Bingchen Liu; Qing Yan; Ahmed Elgammal; Xiao Yang (ECCV (40), 2024)

StyleGAN-Fusion: Diffusion Guided Domain Adaptation of Image Generators. - Kunpeng Song; Ligong Han; Bingchen Liu; Dimitris N. Metaxas; Ahmed Elgammal (WACV, 2024)

DirectorLLM for Human-Centric Video Generation. - Kunpeng Song; Tingbo Hou; Zecheng He; Haoyu Ma; Jialiang Wang 001; Animesh Sinha; Sam S. Tsai; Yaqiao Luo; Xiaoliang Dai; Li Chen; Xide Xia; Peizhao Zhang; et al. (CoRR, 2024)

A Fine-grained Artist Identification Method for Authentication and Attribution of Drawings using Hatching Lines. - Shahrzad Ziaee; Ahmed Elgammal; Marian Mazzone (CVPR Workshops, 2025)

Modality Agnostic Efficient Long Range Encoder. - Toufiq Parag; Ahmed Elgammal (CoRR, 2025)