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CVPR
2007
IEEE
15 years 11 months ago
Detecting Pedestrians by Learning Shapelet Features
In this paper, we address the problem of detecting pedestrians in still images. We introduce an algorithm for learning shapelet features, a set of mid?level features. These featur...
Payam Sabzmeydani, Greg Mori
CVPR
2012
IEEE
13 years 1 days ago
A codebook-free and annotation-free approach for fine-grained image categorization
Fine-grained categorization refers to the task of classifying objects that belong to the same basic-level class (e.g. different bird species) and share similar shape or visual app...
Bangpeng Yao, Gary R. Bradski, Fei-Fei Li
CVPR
2012
IEEE
13 years 1 days ago
SURFing the point clouds: Selective 3D spatial pyramids for category-level object recognition
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
Carolina Redondo-Cabrera, Roberto Javier Ló...
ECCV
2010
Springer
15 years 1 months ago
Kernel Sparse Representation for Image Classification and Face Recognition
Recent research has shown the effectiveness of using sparse coding(Sc) to solve many computer vision problems. Motivated by the fact that kernel trick can capture the nonlinear sim...
CVPR
2010
IEEE
15 years 6 months ago
Grouplet: a Structured Image Representation for Recognizing Human and Object Interactions
Psychologists have proposed that many human-object interaction activities form unique classes of scenes. Recognizing these scenes is important for many social functions. To enable...
Bangpeng Yao, Li Fei-Fei