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Professor Soatto received his Ph.D. in Control and Dynamical Systems from the California Institute of Technology in 1996; he joined UCLA in 2000 after being Assistant and then Asso...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
We propose a novel tracking algorithm that can work robustly in a challenging scenario such that several kinds of appearance and motion changes of an object occur at the same time....
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
We propose a novel geometric Rao-Blackwellized particle filtering framework for monocular SLAM with locally planar landmarks. We represent the states for the camera pose and the la...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
We address an unsupervised object detection and segmentation problem that goes beyond the conventional assumptions of one-to-one object correspondences or model-test settings betwe...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
In this paper, a novel hierarchical clustering method using link analysis techniques is introduced. The algorithm is formulated as an authority seeking procedure on graphs, which c...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
This paper studies the problem of learning a full range of pairwise affinities gained by integrating local grouping cues for spectral segmentation. The overall quality of the spect...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
In this paper, we deal with a generative model for multi-label, interactive segmentation. To estimate the pixel likelihoods for each label, we propose a new higher-order formulatio...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Markerless tracking of human pose is a hard yet relevant problem. In this paper, we derive an efficient filtering algorithm for tracking human pose at 4-10 frames per second using...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
Automatic facial action unit (AU) detection from video is a long-standing problem in computer vision. Two main approaches have been pursued: (1) static modeling--typically posed a...
CVPR
2010
IEEE
14 years 5 months ago
2010
IEEE
It has been shown that the 3D shape of a deformable surface in an image can be recovered by establishing correspondences between that image and a reference one in which the shape ...