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» Application of Level Set Methods in Computer Vision
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ICCV
2011
IEEE
14 years 6 months ago
Maximizing All Margins: Pushing Face Recognition with Kernel Plurality
We present two theses in this paper: First, performance of most existing face recognition algorithms improves if instead of the whole image, smaller patches are individually class...
Ritwik Kumar, Arunava Banerjee, CISE, Univ, Baba V...
242
Voted
ICCV
2011
IEEE
14 years 6 months ago
Human Action Recognition by Learning Bases of Action Attributes and Parts
In this work, we propose to use attributes and parts for recognizing human actions in still images. We define action attributes as the verbs that describe the properties of human...
Bangpeng Yao, Xiaoye Jiang, Aditya Khosla, Andy La...
199
Voted
ICCV
2011
IEEE
14 years 6 months ago
Double Window Optimisation for Constant Time Visual SLAM
We present a novel and general optimisation framework for visual SLAM, which scales for both local, highly accurate reconstruction and large-scale motion with long loop closures. ...
Hauke Strasdat, Andrew J. Davison, J. M. M. Montie...
208
Voted
ICCV
2011
IEEE
14 years 6 months ago
Automated Articulated Structure and 3D Shape Recovery from Point Correspondences
In this paper we propose a new method for the simultaneous segmentation and 3D reconstruction of interest point based articulated motion. We decompose a set of point tracks into r...
Joao Fayad, Chris Russell, Lourdes Agapito
221
Voted
CVPR
2012
IEEE
13 years 9 months ago
Figure-ground segmentation by transferring window masks
We present a novel technique for figure-ground segmentation, where the goal is to separate all foreground objects in a test image from the background. We decompose the test image...
Daniel Küttel, Vittorio Ferrari