A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
Dynamic Visual Motion Estimation from Subspace Constraints
Object Class Recognition by Unsupervised Scale-Invariant Learning
Automated Analysis of Radar Imagery of Venus: Handling Lack of Ground Truth
Diffusion Networks for On-Chip Image Contrast Normalization
Recursive Estimation of Camera Motion from Uncalibrated Image Sequences
Learning Probabilistic Structure for Human Motion Detection
Local Analysis for 3D Reconstruction of Specular Surfaces
Efficient Spatiotemporal Grouping Using the Nystrom Method
Shape Contexts Enable Efficient Retrieval of Similar Shapes
Automating the Hunt for Volcanoes on Venus
Overcomplete Steerable Pyramid Filters and Rotation Invariance
X-Y Separable Pyramid Steerable Scalable Kernels
Monocular Tracking of the Human Arm in 3D
Visual Navigation Using a Single Camera