Multi-tensor models provide information about the fiber bundles underlying characteristics and are of great interest for clinical applications. In this work we propose both a nov...
Resolution improvement from several images is typically restricted to simple planar rotations and translations. In this paper, a super-resolution algorithm that allows 3D ego-moti...
Siu-Hang Or, Ying Kin Yu, Kin-hong Wong, Michael M...
We propose a method for recovering the affine geometry of a dynamically textured plane from a video sequence taken by an uncalibrated, fixed, perspective camera. Some instances ...
This paper describes a probabilistic framework to estimate the shape and position of multiple fish in a school. We model the fish shape as an ellipsoid with a curvature coefficient...
We present a human-centric paradigm for scene understanding. Our approach goes beyond estimating 3D scene geometry and predicts the “workspace” of a human which is represented...
Abhinav Gupta, Scott Satkin, Alyosha Efros, Martia...