Segmentation-based object categorization
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Deep neural network architectures have recently produced excellent results in a variety of areas in artificial intelligence and… Expand We propose a unified approach for bottom-up hierarchical image segmentation and object candidate generation for recognition… Expand Many problems in computer vision can be posed as recovering a low-dimensional subspace from high-dimensional visual data… Expand Image contour detection is fundamental to many image analysis applications, including image segmentation, object recognition and… Expand This paper proposes a framework in which Lagrangian particle dynamics is used for the segmentation of high density crowd flows… Expand This paper presents a vision system for road traffic surveillance from sequences acquired from an unmanned aerial vehicle (UAV… Expand This paper provides an algorithm for partitioning grayscale images into disjoint regions of coherent brightness and texture… Expand Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space… Expand Recently, a variety of clustering algorithms have been proposed to handle data that is not linearly separable. Spectral… Expand We propose a motion segmentation algorithm that aims to break a scene into its most prominent moving groups. A weighted graph is… Expand