124 citations · 132 across the 14 of their papers we have counts for
14 papers
RGB Pre-Training Enhanced Unobservable Feature Latent Diffusion Model for Spectral Reconstruction
Keli Deng, Jie Nie, Yuntao Qian
Spectral reconstruction (SR) is a crucial problem in image processing that requires reconstructing hyperspectral images (HSIs) from the corresponding RGB images. A key difficulty i…
Semantic Guided Level-Category Hybrid Prediction Network for Hierarchical Image Classification
Peng Wang, Jingzhou Chen, Yuntao Qian
Hierarchical classification (HC) assigns each object with multiple labels organized into a hierarchical structure. The existing deep learning based HC methods usually predict an in…
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…
Contrast-reconstruction Representation Learning for Self-supervised Skeleton-based Action Recognition
Peng Wang, Jun Wen, Chenyang Si +2
Skeleton-based action recognition is widely used in varied areas, e.g., surveillance and human-machine interaction. Existing models are mainly learned in a supervised manner, thus…
SMDS-Net: Model Guided Spectral-Spatial Network for Hyperspectral Image Denoising
Fengchao Xiong, Shuyin Tao, Jun Zhou +3
Deep learning (DL) based hyperspectral images (HSIs) denoising approaches directly learn the nonlinear mapping between observed noisy images and underlying clean images. They norma…
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…
Visualization of Hyperspectral Images Using Moving Least Squares
Danping Liao, Siyu Chen, Yuntao Qian
Displaying the large number of bands in a hyper spectral image on a trichromatic monitor has been an active research topic. The visualized image shall convey as much information as…
Constrained Manifold Learning for Hyperspectral Imagery Visualization
Danping Liao, Yuntao Qian, Yuan Yan Tang
Displaying the large number of bands in a hyper- spectral image (HSI) on a trichromatic monitor is important for HSI processing and analysis system. The visualized image shall conv…
Paper evolution graph: Multi-view structural retrieval for academic literature
Danping Liao, Yuntao Qian
Academic literature retrieval is concerned with the selection of papers that are most likely to match a user's information needs. Most of the retrieval systems are limited to list-…
On the Sampling Strategy for Evaluation of Spectral-spatial Methods in Hyperspectral Image Classification
Jie Liang, Jun Zhou, Yuntao Qian +3
Spectral-spatial processing has been increasingly explored in remote sensing hyperspectral image classification. While extensive studies have focused on developing methods to impro…