105 citations · 147 across the 4 of their papers we have counts for
4 papers
Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection
Wei Shen, Bin Wang, Yuan Jiang +2
In the field of connectomics, neuroscientists seek to identify cortical connectivity comprehensively. Neuronal boundary detection from the Electron Microscopy (EM) images is often…
DeepSkeleton: Learning Multi-task Scale-associated Deep Side Outputs for Object Skeleton Extraction in Natural Images
Wei Shen, Kai Zhao, Yuan Jiang +3
Object skeletons are useful for object representation and object detection. They are complementary to the object contour, and provide extra information, such as how object scale (t…
Shape Recognition by Bag of Skeleton-associated Contour Parts
Wei Shen, Yuan Jiang, Wenjing Gao +2
Contour and skeleton are two complementary representations for shape recognition. However combining them in a principal way is nontrivial, as they are generally abstracted by diffe…
Object Skeleton Extraction in Natural Images by Fusing Scale-associated Deep Side Outputs
Wei Shen, Kai Zhao, Yuan Jiang +3
Object skeleton is a useful cue for object detection, complementary to the object contour, as it provides a structural representation to describe the relationship among object part…