Elgammal, Ahmed - Department of Computer Science, Rutgers University

• A Framework for Feature Selection for Background Subtraction Toufiq Parag
• Gesture Recognition using a Probabilistic Framework for Pose Matching Ahmed Elgammal Vinay Shet Yaser Yacoob Larry S. Davis
• IEEE TRANSACTION ON PATTERN RECOGNITION AND MACHINE INTELLIGENCE (UNDER REVIEW) 1 Tracking People on a Torus
• Learning a Joint Manifold Representation from Multiple Data Sets Marwan Torki, Ahmed Elgammal
• Nonlinear Shape and Appearance Models for Facial Expression Analysis and Synthesis
• Unsupervised Learning of Boosted Tree Classifier using Graph Cuts for Hand Pose Recognition
• CVPR 2004 1 Inferring 3D Body Pose from Silhouettes using Activity Manifold Learning
• One-Shot Multi-Set Non-rigid Feature-Spatial Matching Marwan Torki Ahmed Elgammal
• Probabilistic Tracking in Joint Feature-Spatial Spaces Ahmed Elgammal
• Discriminative Patch Selection using Combinatorial and Statistical Models for Patch-Based Object Recognition
• Boosting Adaptive Linear Weak Classifiers for Online learning and Tracking Toufiq Parag
• Towards Scalable View-Invariant Gait Recognition: Multilinear Analysis for Gait
• Int J Comput Vis (2010) 87: 118139 DOI 10.1007/s11263-009-0266-5
• Nonlinear Generative Models for Dynamic Shape and Dynamic Appearance
• Gait Tracking and Recognition Using Person-Dependent Dynamic Shape Model Chan-Su Lee and Ahmed Elgammal
• CVPR 2004 1 Separating Style and Content on a Nonlinear Manifold
• Modeling View and Posture Manifolds for Tracking Chan-Su Lee and Ahmed Elgammal
• Tracking People on a Torus Chan-Su Lee and Ahmed Elgammal
• Simultaneous Inference of View and Body Pose using Torus Manifolds Chan-Su Lee and Ahmed Elgammal
• Homeomorphic Manifold Analysis: Learning Decomposable Generative Models for Human Motion Analysis
• Style Adaptive Bayesian Tracking Using Explicit Manifold Learning
• Gait Style and Gait Content: Bilinear Models for Gait Recognition Using Gait Re-sampling
• SYNTHESIS AND CONTROL OF HIGH RESOLUTION FACIAL EXPRESSIONS FOR VISUAL INTERACTIONS
• Learning to Track: Conceptual Manifold Map for Closed-form Tracking Ahmed Elgammal
• Line-Based Relative Pose Estimation Ali Elqursh Ahmed Elgammal
• A statistically Selected Part-Based Probabilistic Model for Object Recognition
• Learning Dynamics for Exemplar-based Gesture Recognition Ahmed Elgammal
• Information Theoretic Key Frame Selection for Action Recognition
• Carrying Object Detection Using Pose Preserving Dynamic Shape Models
• Spatiotemporal Pyramid Representation for Recognition of Facial Expressions and Hand Gestures
• Facial Expression Analysis using Nonlinear Decomposable Generative Models
• Learning a Dynamic Classification Method to Detect Faces and Identify Facial Expression
• Putting Local Features on a Manifold Marwan Torki Ahmed Elgammal
• Human Motion Synthesis by Motion Manifold Learning and Motion Primitive Segmentation
• Body Pose Tracking From Uncalibrated Camera Using Supervised Manifold Learning
• EUROGRAPHICS 2004 / M.-P. Cani and M. Slater (Guest Editors)
• Supervised Hypergraph Labeling Toufiq Parag
• Learning to Identify Facial Expression During Detection Using Markov Decision Ramana Isukapalli