Research Papers

Yizhe Zhu, Jianwen Xie, Zhiqiang Tang, Xi Peng , Ahmed Elgammal

“Semantic-Guided Multi-Attention Localization for Zero-Shot Learning,”

NeurIPS 2019.

Yizhe Zhu, Jianwen Xie , Bingchen Liu, Ahmed Elgammal

“Learning Feature-to-Feature Translator by Alternating Back-Propagation for Zero-Shot Learning,”

ICCV 2019

J. Zhang, K. Shih, A. Elgammal, A. Tao, B. Catanzaro.

“Graphical Contrastive Losses for Scene Graph Generation.”

CVPR 2019

S. Geng*, J. Zhang*, H. Zhang, A. Elgammal, D. N. Metaxas,

2nd Place Solution to the GQA Challenge 2019.

CVPR Workshops 2019

J. Zhang, Y. Kalantidis, M. Rohrbach, M. Paluri, A. Elgammal, M. Elhoseiny.

“Large-Scale Visual Relationship Understanding”

AAAI 2019

A. Elgammal, M. Mazzone

“Art, Creativity and the Potential of Artificial Intelligence”,

Arts, 2019, 8, 26. Special issue on The Machine as Artist (for the 21st Century.

D. Kim, A. Elgammal, M. Mazzone

“Computational Analysis of Content in Fine Art Paintings”

Proceedings of the 10th International Conference on Computational Creativity

ICCC 2019

[M. Khayatkhoei, M. Singh, A. Elgammal

“Disconnected Manifold Learning for Generative Adversarial Networks”

NeruIPS 2018

Zhang, K. Shih, A. Tao, B. Catanzaro, A. Elgammal.

“An Interpretable Model for Scene Graph Generation”.

NeurIPS Workshops, 2018

Zhang, K. Shih, A. Tao, B. Catanzaro, A. Elgammal.

“Introduction to the 1st Place Winning Model of Open Images Relationship Detection Challenge”.

ECCV Workshops, 2018

Y. Zhu, M. Elhoseiny, B. Liu, X. Peng, and A. Elgammal,

“A generative adversarial approach for zero-shot learning from noisy texts”

CVPR 2018

A. Elgammal, B. Liu, D. Kim, M. Elhoseiny, M. Mazzone

“The Shape of Art History in the Eyes of the Machine”

AAAI 2018

A. Elgammal, Y. Kang, M. Den Leeuv

“Picasso, Matisse, or a Fake? Automated Analysis of Drawings at the Stroke Level for Attribution and Authentication”

AAAI 2018

D. Kim, B. Liu, A. Elgammal, M. Mazzone

“Finding Principal Semantics of Style in Art”

The 12th IEEE International Conference on Semantic Computing (ICSC),

M. Elhoseiny, S. Cohen, W. Chang, B. Price, and A. Elgammal,
“Towards Richer and Scalable Understanding of Facts in Images”
AAAI 2017

M. Elhoseiny, A. Elgammal, and B. Saleh,
“Write a Classifier: Predicting Visual Classifiers from Unstructured Text Descriptions”,
TPAMI – December 2017

S. Huang, A. Elgammal, and D. Yang,
“On the Effect of Hyperedge Weights on Hypergraph Learning”
Image and Vision Computing – 2017

Y. Zhu and A. Elgammal “

“A Multilayer-Based Framework for Online Background Subtraction With Freely Moving Cameras”

ICCV 2017

J. Zhang, M. Elhoseiny, W. Chang, S. Cohen, A. Elgammal,

“Relationship Proposal Networks”

CVPR 2017

M. Elhoseiny, Y. Zhu, H. Zhang, A. Elgammal,

“Link the head to the ‘peak’: Zero Shot Learning from Noisy Text descriptions at Part Precision”

CVPR 2017

A. Elgammal, B. Liu, M. Elhoseiny and M. Mazzone

“CAN: Creative Adversarial Networks”,

Proceedings of the International Conference on Computational Creativity

ICCC 2017

M. Elhoseiny, S. Cohen, W. Chang, B. Price, and A. Elgammal,

“Towards Richer and Scalable Understanding of Facts in Images”,

AAAI 2017

B. Saleh, A. Elgammal, and J. Feldman,
“The Role of Typicality in Object Classification: Improving The Generalization Capacity of Convolutional Neural Networks”
IJCAI 2016

M. Elhoseiny, T. El-Gaaly, A. Bakry, and A. Elgammal,
“A Comparative Analysis and Study of Multiview Convolutional Neural Network Models for Joint Object Categorization and Pose Estimation”,
ICML 2016

H. Zhang, T. Xu, M. Elhoseiny, X. Huang, S. Zhang, A. Elgammal, D. Metaxas,
“SPDA-CNN: Unifying Semantic Part Detection and Abstraction for Fine-grained Recognition”
CVPR 2016

A. Bakry, M. Elhoseiny, T. El-Gaaly, and A. Elgammal,
“Digging Deep into the layers of CNNs: In Search of How CNNs Achieve View Invariance”
ICLR 2016

B. Saleh, A. Elgammal, J. Feldman and A. Farhadi
“Toward a Taxonomy and Computational Models of Abnormalities in Images”,
AAAI 2016
Recipient of the Outstanding Student Paper Award

M. Ehoseiny and J. Liu and H. Cheng and H. Sawhney and A. Elgammal
“Zero Shot Event Detection by Multimodal Distributional Semantic Embedding of Videos”,
AAAI 2016

S. Huang, Y. Yu, D. Yang, A. Elgammal and D. Yang,
“Collaborative Graph Embedding: A Simple Way to Generally Enhance Subspace Learning Algorithms”,
IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),
October 2016

P. Vepakomma and A. Elgammal
“A fast algorithm for manifold learning by posing it as a symmetric diagonally dominant linear system”,
Applied and Computational Harmonic Analysis Journal
March 2016

A.Elgammal and B. Saleh
“Quantifying Creativity in Art Networks”,
the 6th International Conference on Computational Creativity (ICCC’15)
M. Elhoseiny and A. Elgammal
“Generalized Twin Gaussian Processes using Sharma-Mittal Divergence”
Machine Learning Journal
– Also will be presented in ECML PPKDD’15

M. Elhoseiny, S. Huang, and A Elgammal
“Weather Classification with Deep Convolution Neural Networks”,
ICIP 15

S. Huang, M. Elhoseiny, A. Elgammal, D. Yang
“Learning Hypergraph-regularized Attribute Predictors”
CVPR 15

T. El-Gaaly, V. Froyen, A. Elgammal, J. Feldman, M. Singh
“A Bayesian Approach to Perceptual 3D Object-Part Decomposition Using Skeleton-Based Representations”
AAAI 15

H. Zhang, T. El-Gaaly, Z. Jiang, A. Elgammal
“Factorization on View-Object Manifold for Joint Object Recognition and Pose Estimation”
CVIU 2015

X. Peng, J. Huang; Q. Hu; S. Zhang; A. Elgammal, and D. Metaxas
“From Circle to 3-Shpere: Robust Head Pose Estimation by Instance Parameterization”
CVIU 2015

M. Elhoseiny and A. Elgammal
“Text to Multi-level MindMaps: A Novel Method for Hierarchical Visual Abstraction of Natural Language Text”
Multimedia Tools and Applications Journal, Springer, April 2015

A. Elgammal
“Homeomorphic Manifold Analysis (HMA): Untangling Complex Manifolds”
Advances in Imaging and Electron Physics

S. Huang, A. Elgammal, M. Elhoseiny, D. Yang, X. Zhang
“Improving Non-Negative Matrix Factorization via Ranking Its Bases”,
ICIP 2014

E. L. Spratt and A. Elgammal
“Computational Beauty: Aesthetic Judgment at the Intersection of Art and Science”
When Vision Meets Art (VisArt) Workshop 2014

B. Saleh, K. Abe, R. Arora, A. Elgammal
“Toward Automated Discovery of Artistic Influence”
Multimedia Tools and Applications – Springer – 2014

T. Senlet, T. El-Gaaly, A. Elgammal,
“Hierarchical Semantic Hashing: Visual Localization from Buildings on Maps”
ICPR 2014

T. El-Gaaly, M. Torki, A. Elgammal
“Spatial-Visual Label Propagation for Local Feature Classification”
ICPR 2014.

A. Bakry and A. Elgammal
“Untangling Object-View Manifold for Multiview Recognition and Pose Estimation”
ECCV 2014

C. Tonde and A. Elgammal
“Simultaneous Twin Kernel Learning using Polynomial Transformations for Structured Prediction”
CVPR 2014

B. Saleh, K. Abe and A. Elgammal
“Knowledge Discovery of Artistic Influences: A Metric Learning Approach”
ICCC 2014

A. Elqursh and A. Elgammal
Online Motion Segmentation using Dynamic Label Propagation”
ICCV 2013

M. Elhoseiny, B. Saleh, and A.Elgammal
“Write a Classifier: Zero Shot Learning Using Purely Textual Descriptions”
ICCV 2013

Haopeng Zhang, Zhiguo Jiang, and Ahmed Elgammal
“Vision-Based Pose Estimation for Cooperative Space Objects”,
Acta Astronautica Volume 91, October–November 2013

Sheng Huang, Ahmed Elgammal, and Dan Yang
“Learning Speed Invariant Gait Template via Thin Plate Spline Kernel Manifold Fitting”
BMVC 2013

Haopeng Zhang, Tarek El-Gaaly, Ahmed Elgammal, Zhiguo Jiang
“Joint Object and Pose Recognition Using Homeomorphic Manifold Analysis”
AAAI 2013

B. Saleh, A. Farhadi, A. Elgammal
“Object-Centric Anomaly Detection by Attribute-Based Reasoning”
CVPR 2013
A. Bakry, A. Elgammal
“Manifold Kernel Partial Least Squares for Lipreading and Speaker identification”
CVPR 2013

A. Elgammal and C.-S Lee
“Homeomorphic Manifold Analysis (HMA): Generalized Separation of Style and Content on Manifolds”,
Image and Vision Computing Journal, April 2013 – Editor Choice Article

I. Chakraborty, A. Elgammal, and R. Burd
“Video based Activity Recognition in Trauma Resuscitation”
FG 2013

T. Senlet and A. Elgammal
“Segmentation of Occluded Sidewalks in Satellite Images”,
ICPR 2012

T. El-Gaaly, M. Torki, A. Elgammal and M. Singh
“RGBD Object Pose Recognition Using Local-Global Multi-Kernel Regression”
ICPR 2012

A. Elqursh and A. Elgammal
“Video Figure Ground Labeling”
ICPR 2012

R. Arora and A. Elgammal
“Towards Automated Classification of Fine-Art Painting Style: A Comparative Study”
ICPR 2012

A. Elqursh and A. Elgammal
“Single Axis Relative Rotation from Orthogonal Lines”
ICPR 2012

A. Elqursh and A. Elgammal
“Online Moving Camera Background Subtraction”
ECCV 2012

T. Senlet and A. Elgammal
“Satellite Image Based Precise Robot Localization on Sidewalks”
ICRA 2012

C.-S. Lee and A. Elgammal
“Style Adaptive Contour Tracking of Human Gait Using Explicit Manifold Models”
Machine vision and applications journal,
May 2012

E. K. Gnang, A. Elgammal, V. Retakh
“A Spectral Theory for Tensors”
The Annales de la Faculté des Sciences de Toulouse, Sér. 6, 20 no. 4 (2011), p. 801-841.
Available at arXiv::1008.:2923v4 [math.SP]

M. Torki and A. Elgammal
“Regression from Local Features for Viewpoint and Posture Estimation”
ICCV’11

T. Senlet and A. Elgammal
“A Framework for Global Vehicle Localization Using Stereo Images and Satellite and Road Maps”
2nd IEEE Workshop on Computer Vision in Vehicle Technology: From Earth to Mars, in conjunction with ICCV 2011

T. Parag and A. Elgammal
“Higher Order Markov Networks for Model Estimation”
International Symposium on Visual Computing (ISVC’11)

T. Parag and A. Elgammal
“Supervised Hypergraph Labeling”
CVPR’11

A. Elqursh and A. Elgammal
“Line-Based Relative Pose Estimation”
CVPR’11

S. Smaldone, C. Tonde, V. K. Ananthanarayanan, A. Elgammal, and L. Iftode
“The Cyber-Physical Bike: A Step Towards Safer Green Transportation”
HotMobile’11

M. Torki, A. Elgammal, and C-S. Lee
“Learning a Joint Manifold Representation from Multiple Data Sets”
ICPR’10

I. Chakraborty and A. Elgammal
“Object Localization by Propagating Connectivity via Superfeatures”
ICPR’10

M. Torki and A. Elgammal
“One-Shot Multi-Set Non-rigid Feature-Spatial Matching”
CVPR’10

M. Torki and A. Elgammal
“Putting Local Features on a Manifold”
CVPR’10

C-S. Lee and A. Elgammal
“Coupled Visual and Kinematics Manifold Models for Human Motion Analysis”
International Journal on Computer Vision. Volume 87, Numbers 1-2, March 2010.

I. Chakraborty and A. Elgammal
“Contour segment matching by integrating intra and inter shape cues of objects”;
BMVC’09,

C-S. Lee and A. Elgammal
“Dynamic shape outlier detection for human locomotion”
Computer Vision and Image Understanding Journal (CVIU). Volume 113, Issue 3, March 2009.

C-S. Lee and A. Elgammal
“Tracking People on a Torus”
IEEE transactions on Pattern Analysis and Machine Intelligence, March 2009

Z. Zhao and A. Elgammal
“Information Theoretic Key Frame Selection for Action Recognition”
BMVC’08

Z. Zhao and A. Elgammal
“Human Activity Recognition from Frames’ Spatiotemporal Representation”
ICPR’08

I. Chakraborty and A. Elgammal
“Object Detection based on Substructure Grouping”
ICPR’08

Z. Zhao and A. Elgammal
“Spatiotemporal Pyramid Representation for Recognition of Facial Expressions and Hand Gestures”
FGR’08

T. Paraq, F. Porikli and A. Elgammal
“Boosting Adaptive Linear Weak Classifiers for Online learning and Tracking”
CVPR’08

C.-S. Lee and A. Elgammal
“Modeling View and Posture Manifolds for Tracking”
ICCV’07

A. Elgammal and C.-S. Lee
“Nonlinear Manifold Learning for Dynamic Shape and Dynamic Appearance”
Computer Vision and Image Understanding (CVIU) special issue on generative model based vision. April 2007

C.-S. Lee and A. Elgammal
“Tracking People on a Torus”
technical report DCS – TR611

C.-S. Lee A. Elgammal
“Body Pose Tracking From Uncalibrated Camera Using Supervised Manifold Learning”
NIPS- Workshop on Evaluation of Articulated Human Motion and Pose Estimation. EHuM06.

A. Elgammal
“Human-centered Multimedia, Representations and Challenges”
The 1st ACM international Workshop on Human-Centered Multimedia HCM ’06 — with ACM- Multimedia 2006.
Invited Position Paper.

T. Parag and A. Elgammal
“Unsupervised Learning of Boosted Tree Classifier using Graph Cuts for Hand Pose Recognition”
BMVC’06,

Z. Zhao and A. Elgammal
“A statistically selected Part-Based Probabilistic Model for Object Recognition”,
International Workshop on Intelligent Computing in Pattern Analysis aand Synthesis, IWICPAS 2006.

R. Isukapalli, A. Elgammal and R. Greiner
“Learning Policies for Efficiently Identifying Objects of Many Classes”
ICPR’06

I. Chakraborty and A. Elgammal
“Combining Low and High Level Features for Object Recognition”
ICPR’06

C.-S. Lee and A. Elgammal
“Nonlinear Shape and Appearance Models for Facial Expressions”
ICPR’06

C.-S. Lee and A. Elgammal
“Simultaneous Inferring View and Body Pose Using Torus Manifolds”
ICPR’06

C.-S. Lee, A. Elgammal and Dimitris Metaxas,
“Synthesis and Control of High Resolution Facial Expressions for Visual Interactions”
ICME’06

C.-S. Lee and A. Elgammal
“Carrying Object Detection Using Pose Preserving Dynamic Shape Model”
AMDO’06 – LNCS 4069

C.-S. Lee and A. Elgammal
“Human Motion Synthesis by Motion Manifold Learning and Motion Primitive Segmentation”
AMDO’06 – LNCS 4069

Z. Zhao, A. Vashist, A. Elgammal, I. Muchnik and C. Kulikowski
“Discriminative Part Selection using Combinatorial and Statistical Models for Part-Based Object Recognition”
Beyond Patches Workshop – with CVPR’06

T. Parag, A. Elgammal and A. Mittal
“A Framework for Feature Selection for Background Subtraction”
CVPR’06

R. Isukapalli, A. Elgammal and R. Greiner
“Learning Efficient Multiclass Object Detection Hierarchy”
ECCV’06 – LNCS 3951 Vol. I

N. Ravi, P.Shankar, A. Frankel, A. Elgammal and L. Iftode
“Indoor Localization Using Camera Phones”
The 7th IEEE Workshop on Mobile Computing Systems and Applications, WMCSA 2006, April 2006.

C.-S. Lee and A. Elgammal
“Gait Tracking and Recognition using Person-Dependent Dynamic Shape Models”
FGR’06

R. Isukapalli, A. Elgammal and R. Greiner
“Learning to Identify Facial Expression During Detection using Markov Decision Process”,
FGR’06

I. Awasthi and A. Elgammal
“Learning Nonlinear Manifolds of Dynamic Textures”
International Conference on Computer Vision Theory and Applications VISAPP’06

C.-S. Lee and A. Elgammal
“Homeomorphic Manifold Analysis: Learning Decomposable Generative Models for Human Motion Analysis”
Workshop on Dynamic Vision (WDV05), with ICCV’05

C.-S. Lee and A. Elgammal
“Facial Expression Analysis using Nonlinear Decomposable Generative Models”
IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG05) with ICCV’05.

R. Isukapalli, A. Elgammal, and R. Greiner
“Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression”
IEEE International Workshop on Analysis and Modeling of Faces and Gestures (AMFG05) with ICCV’05.

C.-S. Lee and A. Elgammal
“Style Adaptive Bayesian Tracking Using Explicit Manifold Learning”
BMVC’05

C.-S. Lee and A. Elgammal
“Towards Scalable View-Invariant Gait Recognition: Multilinear Analysis for Gait”
Audio- and Video-based Biometric Person Authentication Conference AVBPA’05

A. Elgammal
“Learning to Track: Conceptual Manifold Map for Closed-form Tracking”
CVPR’05

V. Shet, V. Shiv Naga Prasad, A. Elgammal, L. S. Davis, Y. Yacoob
“Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition”,
4th Indian Conference on Computer Vision, Graphics and Image Processing ICVGIP04
Recipient of Honorary Mention for Best Paper Award.

Y. Wang, X. Huang, C.-S. Lee, S. Zhang, Z. Li, D. Samaras, D. Metaxas, A. Elgammal, P. Huang
“High Resolution Acquisition, Learning and Transfer of Dynamic 3D Facial Expressions”
Eurographics 2004

A. Elgammal, C.-S. Lee
“Separating Style and Content on a Nonlinear Manifold”
CVPR’04

A. Elgammal, C.-S. Lee
“Inferring 3D Body Pose from Silhouettes using Activity Manifold Learning”
CVPR’04

A. Elgammal
“Nonlinear Generative Models for Dynamic Shape and Dynamic Appearance”
2nd International Workshop on Generative-Model based vision. GMBV 2004, with CVPR’04.

A. Elgammal, C.-S. Lee
“Gait Style and Gait Content: Bilinear Model for Gait Recognition Using Gait Re-sampling”
FGR’04

A. Elgammal, R. Duraiswami and L. S. Davis
“Efficient Kernel Density Estimation Using the Fast Gauss Transform for Computer Vision”
IEEE Transactions on Pattern Analysis and Machine Intelligence. Dec 2003.

S.-N. Lim, A. Elgammal, L. S. Davis
“A Scalable Image-Based Multi-Camera Visual Surveillance System”
IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2003)

S.-N. Lim, A. Elgammal, L. S. Davis
“Image-based Pan-Tilt Camera Control in a Multi-Camera Surveillance Environment”
ICME’03

A. Elgammal, V. Shet, Y. Yacoob, and L. S. Davis
“Learning Dynamics for Exemplar-based Gesture Recognition”
CVPR’03

A. Elgammal, R. Duraiswami, and L. S. Davis
“Probabilistic Tracking in Joint Feature-Spatial Spaces”
CVPR’03

A. Elgammal, R. Duraiswami, D. Harwood and L. S. Davis
“Background and Foreground Modeling using Non-parametric Kernel Density Estimation for Visual Surveillance”,
Proceedings of the IEEE, July 2002.

A. Elgammal, V. Shet, Y. Yacoob, L. S. Davis
“Gesture Recognition using a Probabilistic Framework for Pose Matching”
The Seventh International Conference on Control, Automation, Robotics and Vision, ICARCV’02

A. Elgammal, R. Duraiswami and L. S. Davis
“Efficient Non-parametric Adaptive Color Modeling Using Fast Gauss Transform”
CVPR’01

A. Elgammal and L. S. Davis
“Probabilistic Framework for Segmenting People Under Occlusion”
ICCV’01

A. Elgammal, R. Duraiswami and L. S. Davis
“Efficient Computation of Kernel Density Estimation using Fast Gauss Transform with Applications for Segmentation and Tracking”
Second International Workshop on Statistical and Computational Theories of Vision, — with ICCV’01

A. Elgammal and M. A. Ismail
“Techniques for Language Identification for Hybrid Arabic-English Document Images”
Sixth International Conference on Document Analysis and Recognition (ICDAR’01)

A. Elgammal and M. A. Ismail
“A Graph-Based Segmentation and Feature-extraction Framework for Arabic Text Recognition”
Sixth International Conference on Document Analysis and Recognition (ICDAR’01)

A. Elgammal, D. Harwood, L. S. Davis
“Non-parametric Model for Background Subtraction”
ECCV’00

M. Abdel-Moteleb and A. Elgammal
“Face Detection in Complex Environment from Color Images”,
ICIP’99