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CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
14 years 6 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann
ICPR
2008
IEEE
14 years 4 months ago
Learning a discriminative sparse tri-value transform
Simple binary patterns have been successfully used for extracting feature representations for visual object classification. In this paper, we present a method to learn a set of d...
Zhenhua Qu, Guoping Qiu, Pong Chi Yuen
CVPR
2007
IEEE
14 years 4 months ago
Robust 3D Face Recognition Using Learned Visual Codebook
In this paper, we propose a novel learned visual codebook (LVC) for 3D face recognition. In our method, we first extract intrinsic discriminative information embedded in 3D faces...
Cheng Zhong, Zhenan Sun, Tieniu Tan
ICCV
2007
IEEE
14 years 4 months ago
Shape Priors using Manifold Learning Techniques
We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a category o...
Patrick Etyngier, Florent Ségonne, Renaud K...
HRI
2006
ACM
14 years 4 months ago
Structural descriptions in human-assisted robot visual learning
The paper presents an approach to using structural descriptions, obtained through a human-robot tutoring dialogue, as labels for the visual object models a robot learns. The paper...
Geert-Jan M. Kruijff, John D. Kelleher, Gregor Ber...