Xue Xia

Orcid: 0000-0002-2872-7151

Affiliations:

Jiangxi University of Finance and Economics, Nanchang, Jiangxi, China

According to our database¹, Xue Xia authored at least 33 papers between 2016 and 2026.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Multi-scale interleaved transformer network for image deraining.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2026

PanFoMa: A Lightweight Foundation Model and Benchmark for Pan-Cancer.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Texture-Aware Network for Enhancing Inner Smoke Representation in Visual Smoke Density Estimation.

[BibT_eX]

[DOI]

IET Comput. Vis., 2025

Hybrid Mamba-Transformer with Frequency Enhancement for Single Image Deraining.

[BibT_eX]

[DOI]

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Cross-Structure and Semantic Enhancement for Diabetic Retinopathy Grading.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

Video Quality Assessment for Online Processing: From Spatial to Temporal Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., December, 2024

Denoising Diffusion Probabilistic Model for Face Sketch-to-Photo Synthesis.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., October, 2024

Bayesian Uncertainty Calibration for Federated Time Series Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2024

Integrating Spectral and Spatial Bilateral Pyramid Networks for Pansharpening.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Learning content-aware feature fusion for guided depth map super-resolution.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2024

Benchmarking deep models on retinal fundus disease diagnosis and a large-scale dataset.

[BibT_eX]

[DOI]

Signal Process. Image Commun., 2024

2023

Lesion-aware network for diabetic retinopathy diagnosis.

[BibT_eX]

[DOI]

Int. J. Imaging Syst. Technol., November, 2023

Edge-reinforced attention network for smoke semantic segmentation.

[BibT_eX]

[DOI]

Lin Zhang

Feiniu Yuan

Xue Xia

Multim. Tools Appl., 2023

2022

Subjective and Objective Quality of Experience of Free Viewpoint Videos.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

Cubic-cross convolutional attention and count prior embedding for smoke segmentation.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Texture-aware Network for Smoke Density Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Visual Communications and Image Processing, 2022

FundusGAN: A One-Stage Single Input GAN for Fundus Synthesis.

[BibT_eX]

[DOI]

Chao Cai

Xue Xia

Yuming Fang

Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Eye Disease Diagnosis and Fundus Synthesis: A Large-Scale Dataset and Benchmark.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

2021

A Gated Recurrent Network With Dual Classification Assistance for Smoke Semantic Segmentation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

A confidence prior for image dehazing.

[BibT_eX]

[DOI]

Pattern Recognit., 2021

2020

A Wave-Shaped Deep Neural Network for Smoke Density Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2020

Image dehazing based on a transmission fusion strategy by automatic image matting.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2020

2019

Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition.

[BibT_eX]

[DOI]

Mach. Vis. Appl., 2019

Holistic learning-based high-order feature descriptor for smoke recognition.

[BibT_eX]

[DOI]

Feiniu Yuan

Xue Xia

Jinting Shi

Int. J. Wavelets Multiresolution Inf. Process., 2019

Deep smoke segmentation.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Fusing texture, edge and line features for smoke recognition.

[BibT_eX]

[DOI]

IET Image Process., 2019

Co-occurrence matching of local binary patterns for improving visual adaption and its application to smoke recognition.

[BibT_eX]

[DOI]

IET Comput. Vis., 2019

Encoding pairwise Hamming distances of Local Binary Patterns for visual smoke recognition.

[BibT_eX]

[DOI]

Comput. Vis. Image Underst., 2019

2018

Learning multi-scale and multi-order features from 3D local differences for visual smoke recognition.

[BibT_eX]

[DOI]

Inf. Sci., 2018

Mixed co-occurrence of local binary patterns and Hamming-distance-based local binary patterns.

[BibT_eX]

[DOI]

Feiniu Yuan

Xue Xia

Jinting Shi

Inf. Sci., 2018

2017

Non-Linear Dimensionality Reduction and Gaussian Process Based Classification Method for Smoke Detection.

[BibT_eX]

[DOI]

IEEE Access, 2017

2016

Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification.

[BibT_eX]

[DOI]

KSII Trans. Internet Inf. Syst., 2016

High-order local ternary patterns with locality preserving projection for smoke detection and image classification.

[BibT_eX]

[DOI]

Inf. Sci., 2016

Xue Xia

Timeline

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Bibliography

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