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CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
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...
TNN
2008
13 years 7 months ago
2008
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
CVPR
2011
IEEE
12 years 11 months ago
2011
IEEE
Object segmentation needs to be driven by top-down knowledge to produce semantically meaningful results. In this paper, we propose a supervised segmentation approach that tightly ...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Traditionally, object recognition is performed based solely on the appearance of the object. However, relevant information also exists in the scene surrounding the object. As supp...
ICANN
2005
Springer
14 years 1 months ago
2005
Springer
Small mobile robots typically have little on-board processing power for time-consuming vision algorithms. Here we show how they can quickly extract very dense yet highly useful inf...