[Publications arranged by topics - click here]
Publications arranged by date:
| 2007 | |
C.-S. Lee and A. Elgammal "Modeling View and Posture Manifolds for Tracking" ICCV'07
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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
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C.-S. Lee and A. Elgammal “Tracking People on a Torus” technical report DCS - TR611
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| 2006 | |
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. [PDF] – more details can be found in this technical report [TR-611]
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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.
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T. Parag and A. Elgammal “Unsupervised Learning of Boosted Tree Classifier using Graph Cuts for Hand Pose Recognition” BMVC'06,
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Z. Zhao and A. Elgammal “A statistically selected Part-Based Probabilistic Model for Object Recognition”, International Workshop on Intelligent Computing in Pattern Analysis/Synthesis, IWICPAS 2006.
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R. Isukapalli, A. Elgammal and R. Greiner “Learning Policies for Efficiently Identifying Objects of Many Classes” ICPR'06
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I. Chakraborty and A. Elgammal “Combining Low and High Level Features for Object Recognition” ICPR'06
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C.-S. Lee and A. Elgammal “Nonlinear Shape and Appearance Models for Facial Expressions” ICPR'06
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C.-S. Lee and A. Elgammal “Simultaneous Inferring View and Body Pose Using Torus Manifolds” ICPR'06
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C.-S. Lee, A. Elgammal and Dimitris Metaxas, “Synthesis and Control of High Resolution Facial Expressions for Visual Interactions” ICME'06
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C.-S. Lee and A. Elgammal “Carrying Object Detection Using Pose Preserving Dynamic Shape Model” AMDO'06 - LNCS 4069
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C.-S. Lee and A. Elgammal “Human Motion Synthesis by Motion Manifold Learning and Motion Primitive Segmentation” AMDO'06 - LNCS 4069
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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
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T. Parag, A. Elgammal and A. Mittal “A Framework for Feature Selection for Background Subtraction” CVPR'06
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R. Isukapalli, A. Elgammal and R. Greiner “Learning Efficient Multiclass Object Detection Hierarchy” ECCV'06 - LNCS 3951 Vol. I
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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.
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C.-S. Lee and A. Elgammal “Gait Tracking and Recognition using Person-Dependent Dynamic Shape Models” FGR'06
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R. Isukapalli, A. Elgammal and R. Greiner “Learning to Identify Facial Expression During Detection using Markov Decision Process”, FGR'06
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I. Awasthi and A. Elgammal “Learning Nonlinear Manifolds of Dynamic Textures” International Conference on Computer Vision Theory and Applications VISAPP'06
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| 2005 | |
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
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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.
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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.
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C.-S. Lee and A. Elgammal “Style Adaptive Bayesian Tracking Using Explicit Manifold Learning” BMVC'05
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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
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A. Elgammal “Learning to Track: Conceptual Manifold Map for Closed-form Tracking”, CVPR'05
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| 2004 | |
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.
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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
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A. Elgammal, C.-S. Lee “Separating Style and Content on a Nonlinear Manifold” CVPR'04
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A. Elgammal, C.-S. Lee “Inferring 3D Body Pose from Silhouettes using Activity Manifold Learning” CVPR'04
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A. Elgammal “Nonlinear Generative Models for Dynamic Shape and Dynamic Appearance” 2nd International Workshop on Generative-Model based
vision. GMBV 2004, with
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A. Elgammal, C.-S. Lee “Gait Style and Gait Content: Bilinear Model for Gait Recognition Using Gait Re-sampling” FGR'04
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| 2003 | |
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.
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"A Scalable Image-Based Multi-Camera Visual Surveillance System" IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2003)
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Image-based Pan-Tilt Camera Control in a Multi-Camera Surveillance Environment" ICME'03
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A. Elgammal, V. Shet, Y. Yacoob, and L. S. Davis “Learning Dynamics for Exemplar-based Gesture Recognition” CVPR'03
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A. Elgammal, R. Duraiswami, and L. S. Davis “Probabilistic Tracking in Joint Feature-Spatial Spaces” CVPR'03
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| 2002 | |
“Background and Foreground Modeling using Non-parametric Kernel Density Estimation for Visual Surveillance”, Proceedings of the IEEE, July 2002.
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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
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| 2001 | |
A. Elgammal, R. Duraiswami and L. S. Davis “Efficient Non-parametric Adaptive Color Modeling Using Fast Gauss Transform” CVPR'01
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A. Elgammal and L. S. Davis “Probabilistic Framework for Segmenting People Under Occlusion” ICCV'01
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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
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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)
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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)
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| 2000 | |
A. Elgammal, D. Harwood, L. S. Davis “Non-parametric Model for Background Subtraction” ECCV'00
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| 1999 | |
M. Abdel-Moteleb and A. Elgammal “Face Detection in Complex Environment from Color Images”, ICIP'99
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Other Publications:
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Ph. D. dissertation, “Efficient Nonparametric Kernel Density
Estimation for Real-time Computer Vision”, Department of computer science,
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M.Sc. thesis “Bilingual (Arabic/Latin) Document
Image analysis with Font independent Arabic Character Recognition”, Faculty of
Engineering,
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