2 citations · 5 across the 7 of their papers we have counts for
9 papers
Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification
Jingzhou Chen, Peng Wang, Jian Liu +1
Hierarchical multi-granularity classification (HMC) assigns hierarchical multi-granularity labels to each object and focuses on encoding the label hierarchy, e.g., ["Albatross", "L…
RMNA: A Neighbor Aggregation-Based Knowledge Graph Representation Learning Model Using Rule Mining
Ling Chen, Jun Cui, Xing Tang +4
Although the state-of-the-art traditional representation learning (TRL) models show competitive performance on knowledge graph completion, there is no parameter sharing between the…
A Deep Optimization Approach for Image Deconvolution
Zhijian Luo, Siyu Chen, Yuntao Qian
In blind image deconvolution, priors are often leveraged to constrain the solution space, so as to alleviate the under-determinacy. Priors which are trained separately from the tas…
Deep Neural Network Based Hyperspectral Pixel Classification With Factorized Spectral-Spatial Feature Representation
Jingzhou Chen, Siyu Chen, Peilin Zhou +1
Deep learning has been widely used for hyperspectral pixel classification due to its ability of generating deep feature representation. However, how to construct an efficient and p…
Material Based Object Tracking in Hyperspectral Videos: Benchmark and Algorithms
Fengchao Xiong, Jun Zhou, Yuntao Qian
Traditional color images only depict color intensities in red, green and blue channels, often making object trackers fail in challenging scenarios, e.g., background clutter and rap…
Spectral Image Visualization Using Generative Adversarial Networks
Siyu Chen, Danping Liao, Yuntao Qian
Spectral images captured by satellites and radio-telescopes are analyzed to obtain information about geological compositions distributions, distant asters as well as undersea terra…