A Bayesian Approach to Unsupervised One-Shot Learning of Object Categories
Tales of Shape and Radiance in Multi-view Stereo
Shape Representation via Harmonic Embedding
Variational Space-Time Motion Segmentation
On Exploiting Occlusions in Multiple-view Geometry
Real-Time Feature Tracking and Outlier Rejection with Changes in Illumination
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
Seeing beyond Occlusions (and Other Marvels of a Finite Lens Aperture)
Structure from Motion for Scenes without Features
Diffusion Networks for On-Chip Image Contrast Normalization