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CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
14 years 5 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
WIAMIS
2009
IEEE
14 years 4 months ago
Motion-swarm widgets for video interaction
Computer vision systems for human-computer interaction have tended towards more precise forms of interface that require complex vision tasks such as segmentation, tracking, object...
Jeffrey E. Boyd
ICMCS
2006
IEEE
104views Multimedia» more  ICMCS 2006»
14 years 4 months ago
Tensor-Based Multiple Object Trajectory Indexing and Retrieval
This paper presents novel tensor-based object trajectory modelling techniques for simultaneous representation of multiple objects motion trajectories in a content based indexing a...
Xiang Ma, Faisal I. Bashir, Ashfaq A. Khokhar, Dan...
ICASSP
2010
IEEE
13 years 10 months ago
Image-quality prediction of synthetic aperture sonar imagery
This work exploits several machine-learning techniques to address the problem of image-quality prediction of synthetic aperture sonar (SAS) imagery. The objective is to predict th...
David P. Williams
CORR
2010
Springer
275views Education» more  CORR 2010»
13 years 10 months ago
Dictionary Optimization for Block-Sparse Representations
Recent work has demonstrated that using a carefully designed dictionary instead of a predefined one, can improve the sparsity in jointly representing a class of signals. This has m...
Kevin Rosenblum, Lihi Zelnik-Manor, Yonina C. Elda...