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CVPR
2008
IEEE
15 years 6 months ago
Joint multi-label multi-instance learning for image classification
In real world, an image is usually associated with multiple labels which are characterized by different regions in the image. Thus image classification is naturally posed as both ...
Zheng-Jun Zha, Xian-Sheng Hua, Tao Mei, Jingdong W...
CVPR
1999
IEEE
16 years 8 months ago
Illumination Distribution from Shadows
The image irradiance of a three-dimensional object is known to be the function of three components: the distribution of light sources, the shape, and reflectance of a real object ...
Imari Sato, Yoichi Sato, Katsushi Ikeuchi
ECCV
2006
Springer
16 years 8 months ago
Learning and Incorporating Top-Down Cues in Image Segmentation
Abstract. Bottom-up approaches, which rely mainly on continuity principles, are often insufficient to form accurate segments in natural images. In order to improve performance, rec...
Xuming He, Richard S. Zemel, Debajyoti Ray
CVPR
2009
IEEE
17 years 1 months ago
A Perceptually Motivated Online Benchmark for Image Matting
The availability of quantitative online benchmarks for low-level vision tasks such as stereo and optical flow has led to significant progress in the respective fields. This paper...
Christoph Rhemann (Vienna University of Technology...
ICIP
2010
IEEE
15 years 4 months ago
An automated vertebra identification and segmentation in CT images
In this paper, we propose a new 3D framework to identify and segment VBs and TBs in clinical computed tomography (CT) images without any user intervention. The Matched filter is e...
Melih S. Aslan, Asem M. Ali, Ham Rara, Aly A. Fara...