1.3k citations · 2.6k across the 51 of their papers we have counts for
6 papers · 1 filter
A Fixed-Point Model for Pancreas Segmentation in Abdominal CT Scans
Yuyin Zhou, Lingxi Xie, Wei Shen +3
Deep neural networks have been widely adopted for automatic organ segmentation from abdominal CT scans. However, the segmentation accuracy of some small organs (e.g., the pancreas)…
Learning Residual Images for Face Attribute Manipulation
Wei Shen, Rujie Liu
Face attributes are interesting due to their detailed description of human faces. Unlike prior researches working on attribute prediction, we address an inverse and more challengin…
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…
Multi-Oriented Text Detection with Fully Convolutional Networks
Zheng Zhang, Chengquan Zhang, Wei Shen +3
In this paper, we propose a novel approach for text detec- tion in natural images. Both local and global cues are taken into account for localizing text lines in a coarse-to-fine p…
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…