10 citations · 30 across the 11 of their papers we have counts for
11 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…
Signature and Log-signature for the Study of Empirical Distributions Generated with GANs
Joaquim de Curtò, Irene de Zarzà, Hong Yan +1
In this paper, we bring forward the use of the recently developed Signature Transform as a way to measure the similarity between image distributions and provide detailed acquaintan…
Orthonormal Product Quantization Network for Scalable Face Image Retrieval
Ming Zhang, Xuefei Zhe, Hong Yan
Existing deep quantization methods provided an efficient solution for large-scale image retrieval. However, the significant intra-class variations like pose, illumination, and expr…
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…
Semantic Hierarchy Preserving Deep Hashing for Large-scale Image Retrieval
Ming Zhang, Xuefei Zhe, Le Ou-Yang +2
Deep hashing models have been proposed as an efficient method for large-scale similarity search. However, most existing deep hashing methods only utilize fine-level labels for trai…
Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval
Xuefei Zhe, Shifeng Chen, Hong Yan
Deep distance metric learning (DDML), which is proposed to learn image similarity metrics in an end-to-end manner based on the convolution neural network, has achieved encouraging…
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-wise Loss
Xuefei Zhe, Shifeng Chen, Hong Yan
Deep supervised hashing has emerged as an influential solution to large-scale semantic image retrieval problems in computer vision. In the light of recent progress, convolutional n…