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» Application of Level Set Methods in Computer Vision
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91
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ICPR
2008
IEEE
15 years 9 months ago
Image quality assessment with visual attention
Image quality assessment (IQA) is of great importance for many image processing applications. Some IQA indexes proposed recently more or less try to boost their performance to acc...
Qi Ma, Liming Zhang
117
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IJAR
2010
70views more  IJAR 2010»
15 years 1 months ago
Granular computing applied to ontologies
Granular Computing is an emerging conceptual and computing paradigm of information processing. A central notion is an information-processing pyramid with different levels of clari...
Silvia Calegari, Davide Ciucci
CVPR
2005
IEEE
16 years 4 months ago
Pedestrian Detection in Crowded Scenes
In this paper, we address the problem of detecting pedestrians in crowded real-world scenes with severe overlaps. Our basic premise is that this problem is too difficult for any t...
Bastian Leibe, Edgar Seemann, Bernt Schiele
STACS
1997
Springer
15 years 6 months ago
Methods and Applications of (MAX, +) Linear Algebra
Exotic semirings such as the “(max, +) semiring” (R ∪ {−∞}, max, +), or the “tropical semiring” (N ∪ {+∞}, min, +), have been invented and reinvented many times s...
Stephane Gaubert, Max Plus
149
Voted
CVPR
2009
IEEE
1096views Computer Vision» more  CVPR 2009»
16 years 9 months ago
How far can you get with a modern face recognition test set using only simple features?
In recent years, large databases of natural images have become increasingly popular in the evaluation of face and object recognition algorithms. However, Pinto et al. previously ...
Nicolas Pinto, James J. DiCarlo, David D. Cox