High-order local ternary patterns with locality preserving projection for smoke detection and image classification. - Feiniu Yuan; Jinting Shi; Xue Xia 005; Yuming Fang; Zhijun Fang; Tao Mei 001 (Inf. Sci., 2016)

Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification. - Feiniu Yuan; Jinting Shi; Xue Xia 005; Yong Yang 001; Yuming Fang; Rui Wang (KSII Trans. Internet Inf. Syst., 2016)

Non-Linear Dimensionality Reduction and Gaussian Process Based Classification Method for Smoke Detection. - Feiniu Yuan; Xue Xia 005; Jinting Shi; Hongdi Li; Gang Li (IEEE Access, 2017)

Mixed co-occurrence of local binary patterns and Hamming-distance-based local binary patterns. - Feiniu Yuan; Xue Xia 005; Jinting Shi (Inf. Sci., 2018)

Learning multi-scale and multi-order features from 3D local differences for visual smoke recognition. - Feiniu Yuan; Xue Xia 005; Jinting Shi; Lin Zhang 027; Jifeng Huang (Inf. Sci., 2018)

Co-occurrence matching of local binary patterns for improving visual adaption and its application to smoke recognition. - Feiniu Yuan; Jinting Shi; Xue Xia 005; Qinghua Huang; Xuelong Li 001 (IET Comput. Vis., 2019)

Fusing texture, edge and line features for smoke recognition. - Feiniu Yuan; Gang Li; Xue Xia 005; Bangjun Lei; Jinting Shi (IET Image Process., 2019)

Deep smoke segmentation. - Feiniu Yuan; Lin Zhang 027; Xue Xia 005; Boyang Wan; Qinghua Huang; Xuelong Li 001 (Neurocomputing, 2019)

Holistic learning-based high-order feature descriptor for smoke recognition. - Feiniu Yuan; Xue Xia 005; Jinting Shi (Int. J. Wavelets Multiresolution Inf. Process., 2019)

A Wave-Shaped Deep Neural Network for Smoke Density Estimation. - Feiniu Yuan; Lin Zhang 027; Xue Xia 005; Qinghua Huang; Xuelong Li 001 (IEEE Trans. Image Process., 2020)

A Gated Recurrent Network With Dual Classification Assistance for Smoke Semantic Segmentation. - Feiniu Yuan; Lin Zhang 027; Xue Xia 005; Qinghua Huang; Xuelong Li 001 (IEEE Trans. Image Process., 2021)

Eye Disease Diagnosis and Fundus Synthesis: A Large-Scale Dataset and Benchmark. - Xue Xia 005; Kun Zhan; Ying Li; Guobei Xiao; Jinhua Yan; Zhuxiang Huang; Guofu Huang; Yuming Fang (MMSP, 2022)

FundusGAN: A One-Stage Single Input GAN for Fundus Synthesis. - Chao Cai; Xue Xia 005; Yuming Fang (PRCV (2), 2022)

Texture-aware Network for Smoke Density Estimation. - Xue Xia 005; Kun Zhan; Yajing Peng; Yuming Fang (VCIP, 2022)

Cubic-cross convolutional attention and count prior embedding for smoke segmentation. - Feiniu Yuan; Zeshu Dong; Lin Zhang 027; Xue Xia 005; Jinting Shi (Pattern Recognit., 2022)

Subjective and Objective Quality of Experience of Free Viewpoint Videos. - Jiebin Yan; Jing Li 026; Yuming Fang; Zhaohui Che; Xue Xia 005; Yang Liu 293 (IEEE Trans. Image Process., 2022)

Lesion-aware network for diabetic retinopathy diagnosis. - Xue Xia 005; Kun Zhan; Yuming Fang; Wenhui Jiang; Fei Shen (Int. J. Imaging Syst. Technol., 2023)

Benchmarking deep models on retinal fundus disease diagnosis and a large-scale dataset. - Xue Xia 005; Ying Li; Guobei Xiao; Kun Zhan; Jinhua Yan; Chao Cai; Yuming Fang; Guofu Huang (Signal Process. Image Commun., 2024)

Integrating Spectral and Spatial Bilateral Pyramid Networks for Pansharpening. - Yue Que; Hanqing Xiong; Xue Xia 005; Jie You; Yong Yang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Bayesian Uncertainty Calibration for Federated Time Series Analysis. - Chao Cai; Weide Liu; Xue Xia 005; Zhenghua Chen; Yuming Fang (IEEE Trans. Multim., 2024)

Denoising Diffusion Probabilistic Model for Face Sketch-to-Photo Synthesis. - Yue Que; Li Xiong 018; Weiguo Wan; Xue Xia 005; Zhiwei Liu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Video Quality Assessment for Online Processing: From Spatial to Temporal Sampling. - Jiebin Yan; Lei Wu; Yuming Fang; Xuelin Liu; Xue Xia 005; Weide Liu (IEEE Trans. Circuits Syst. Video Technol., 2024)

Texture-Aware Network for Enhancing Inner Smoke Representation in Visual Smoke Density Estimation. - Xue Xia 005; Yajing Peng; Zichen Li; Jinting Shi; Yuming Fang (IET Comput. Vis., 2025)