10 citations · 12 across the 5 of their papers we have counts for
8 papers
Graph Neural Network and Superpixel Based Brain Tissue Segmentation (Corrected Version)
Chong Wu, Zhenan Feng, Houwang Zhang +1
Convolutional neural networks (CNNs) are usually used as a backbone to design methods in biomedical image segmentation. However, the limitation of receptive field and large number…
Joint Learning of Deep Texture and High-Frequency Features for Computer-Generated Image Detection
Qiang Xu, Shan Jia, Xinghao Jiang +3
Distinguishing between computer-generated (CG) and natural photographic (PG) images is of great importance to verify the authenticity and originality of digital images. However, th…
Instance segmentation with the number of clusters incorporated in embedding learning
Jianfeng Cao, Hong Yan
Semantic and instance segmentation algorithms are two general yet distinct image segmentation solutions powered by Convolution Neural Network. While semantic segmentation benefits…
Improved Deep Classwise Hashing With Centers Similarity Learning for Image Retrieval
Ming Zhang, Hong Yan
Deep supervised hashing for image retrieval has attracted researchers' attention due to its high efficiency and superior retrieval performance. Most existing deep supervised hashin…
Human Expression Recognition using Facial Shape Based Fourier Descriptors Fusion
Ali Raza Shahid, Sheheryar Khan, Hong Yan
Dynamic facial expression recognition has many useful applications in social networks, multimedia content analysis, security systems and others. This challenging process must be do…
Superpixel Tensor Pooling for Visual Tracking using Multiple Midlevel Visual Cues Fusion
Chong Wu, Le Zhang, Jiawang Cao +1
In this paper, we propose a method called superpixel tensor pooling tracker which can fuse multiple midlevel cues captured by superpixels into sparse pooled tensor features. Our me…