Homeomorphic Manifold Analysis (HMA): Generalized separation of style and content on manifolds
Nonlinear manifold learning for dynamic shape and dynamic appearance
Learning to Detect Objects of Many Classes Using Binary Classifiers
Factorization of view-object manifolds for joint object recognition and pose estimation
Probabilistic Framework for Segmenting People under Occlusion
Probabilistic Tracking in Joint Feature-Spatial Spaces
Separating Style and Content on a Nonlinear Manifold
Inferring 3D Body Pose from Silhouettes Using Activity Manifold Learning
Efficient Non-Parametric Adaptive Color Modeling Using Fast Gauss Transform
Learning Dynamics for Exemplar-Based Gesture Recognition