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CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
15 years 11 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
MICCAI
1998
Springer
15 years 7 months ago
Robust Brain Segmentation Using Histogram Scale-Space Analysis and Mathematical Morphology
Abstract. In this paper, we propose a robust fully non-supervised method dedicated to the segmentation of the brain in T1-weighted MR images. The first step consists in the analysi...
Jean-Francois Mangin, Olivier Coulon, Vincent Frou...
ISBI
2007
IEEE
15 years 9 months ago
A Hybrid Filtering Approach to Retinal Vessel Segmentation
We propose a novel vessel enhancement filter for retinal images. The filter can be used as a preprocessing step in applications such as vessel segmentation/visualization, and pa...
Chang-Hua Wu, Gady Agam, Peter Stanchev
FGR
2006
IEEE
297views Biometrics» more  FGR 2006»
15 years 9 months ago
Automatic Skin Segmentation for Gesture Recognition Combining Region and Support Vector Machine Active Learning
Skin segmentation is the cornerstone of many applications such as gesture recognition, face detection, and objectionable image filtering. In this paper, we attempt to address the ...
Junwei Han, George Awad, Alistair Sutherland, Hai ...
ICMCS
2006
IEEE
152views Multimedia» more  ICMCS 2006»
15 years 9 months ago
A Novel Model-based Segmentation Approach to Extract Caption Contents on Sports Videos
The study proposes a novel scheme to extract and recognize the caption contents of various sports captions. A caption extraction process based on an iteratively temporal averaging...
Yih-Ming Su, Chaur-Heh Hsieh