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» Shape Discovery from Unlabeled Image Collections
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CVPR
2006
IEEE
14 years 11 months ago
Semi-Supervised Classification Using Linear Neighborhood Propagation
We consider the general problem of learning from both labeled and unlabeled data. Given a set of data points, only a few of them are labeled, and the remaining points are unlabele...
Fei Wang, Changshui Zhang, Helen C. Shen, Jingdong...
ICASSP
2010
IEEE
13 years 9 months ago
Search-Based Automatic Image Annotation via Flickr Photos Using Tag Expansion
Exponentially growing photo collections motivate the needs for automatic image annotation for effective manipulations (e.g., search, browsing). Most of the prior works rely on sup...
Liang-Chi Hsieh, Winston H. Hsu
CVPR
2010
IEEE
14 years 5 months ago
Object-Graphs for Context-Aware Category Discovery
How can knowing about some categories help us to discover new ones in unlabeled images? Unsupervised visual category discovery is useful to mine for recurring objects without huma...
Yong Jae Lee, Kristen Grauman
ICPR
2006
IEEE
14 years 10 months ago
Activity Discovery from Surveillance Videos
Multi-agent interactions often result in mutual occlusion sequences which constitute a visual signature for the event. We define six qualitative occlusion primitives based on the ...
Amitabha Mukerjee, K. S. Venkatesh, Pabitra Mitra,...
CVPR
2005
IEEE
14 years 11 months ago
3D Geometric and Optical Modeling of Warped Document Images from Scanners
When one scans a document page from a thick bound volume, the curvature of the page to be scanned results in two kinds of distortion in the scanned document images: i) shade along...
Li Zhang, Zheng Zhang 0003, Chew Lim Tan, Tao Xia