Discovering discriminative graphlets for aerial image categories recognition
Recognizing aerial image categories is useful for scene annotation and surveillance. Local
features have been demonstrated to be robust to image transformations, including …
features have been demonstrated to be robust to image transformations, including …
Probabilistic graphlet cut: Exploiting spatial structure cue for weakly supervised image segmentation
Weakly supervised image segmentation is a challenging problem in computer vision field. In
this paper, we present a new weakly supervised image segmentation algorithm by learning …
this paper, we present a new weakly supervised image segmentation algorithm by learning …
Fortune teller: predicting your career path
People go to fortune tellers in hopes of learning things about their future. A future career path
is one of the topics most frequently discussed. But rather than rely on" black arts" to make …
is one of the topics most frequently discussed. But rather than rely on" black arts" to make …
Representative discovery of structure cues for weakly-supervised image segmentation
Weakly-supervised image segmentation is a challenging problem with multidisciplinary
applications in multimedia content analysis and beyond. It aims to segment an image by …
applications in multimedia content analysis and beyond. It aims to segment an image by …
Probabilistic graphlet transfer for photo cropping
As one of the most basic photo manipulation processes, photo cropping is widely used in the
printing, graphic design, and photography industries. In this paper, we introduce graphlets (…
printing, graphic design, and photography industries. In this paper, we introduce graphlets (…
A probabilistic associative model for segmenting weakly supervised images
Weakly supervised image segmentation is an important yet challenging task in image processing
and pattern recognition fields. It is defined as: in the training stage, semantic labels are …
and pattern recognition fields. It is defined as: in the training stage, semantic labels are …
Weakly supervised photo cropping
Photo cropping is widely used in the printing industry, photography, and cinematography.
Conventional photo cropping methods suffer from three drawbacks: 1) the semantics used to …
Conventional photo cropping methods suffer from three drawbacks: 1) the semantics used to …
Fusion of multichannel local and global structural cues for photo aesthetics evaluation
L Zhang, Y Gao, R Zimmermann… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Photo aesthetic quality evaluation is a fundamental yet under addressed task in computer
vision and image processing fields. Conventional approaches are frustrated by the following …
vision and image processing fields. Conventional approaches are frustrated by the following …
Action2Activity: recognizing complex activities from sensor data
As compared to simple actions, activities are much more complex, but semantically consistent
with a human's real life. Techniques for action recognition from sensor generated data are …
with a human's real life. Techniques for action recognition from sensor generated data are …
A fine-grained image categorization system by cellet-encoded spatial pyramid modeling
In this paper, a new fine-grained image categorization system that improves spatial pyramid
matching is developed. In this method, multiple cells are combined into cellets in the …
matching is developed. In this method, multiple cells are combined into cellets in the …