High-order local ternary patterns with locality preserving projection for smoke detection and image classification. - Feiniu Yuan; Jinting Shi; Xue Xia; 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; Yong Yang 001; Yuming Fang; Rui Wang (KSII Trans. Internet Inf. Syst., 2016)

A Deep Normalization and Convolutional Neural Network for Image Smoke Detection. - Zhijian Yin; Boyang Wan; Feiniu Yuan; Xue Xia; Jinting Shi (IEEE Access, 2017)

Non-Linear Dimensionality Reduction and Gaussian Process Based Classification Method for Smoke Detection. - Feiniu Yuan; Xue Xia; 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; Jinting Shi (Inf. Sci., 2018)

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

Encoding pairwise Hamming distances of Local Binary Patterns for visual smoke recognition. - Feiniu Yuan; Jinting Shi; Xue Xia; Lin Zhang; Shuying Li (Comput. Vis. Image Underst., 2019)

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

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

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

Dual-Encoded Features from Both Spatial and Curvelet Domains for Image Smoke Recognition. - Feiniu Yuan; Tiantian Tang; Xue Xia; Jinting Shi; Shuying Li (KSII Trans. Internet Inf. Syst., 2019)

Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition. - Feiniu Yuan; Lin Zhang; Boyang Wan; Xue Xia; Jinting Shi (Mach. Vis. Appl., 2019)

Image dehazing based on a transmission fusion strategy by automatic image matting. - Feiniu Yuan; Yu Zhou 009; Xue Xia; Jinting Shi; Yuming Fang; Xueming Qian (Comput. Vis. Image Underst., 2020)

Encoding features from multi-layer Gabor filtering for visual smoke recognition. - Feiniu Yuan; Gang Li; Xue Xia; Jinting Shi; Lin Zhang (Pattern Anal. Appl., 2020)

Fully extracting feature correlation between and within stages for semantic segmentation. - Feiniu Yuan; Kang Li; Chunmei Wang; Jinting Shi; Yaowen Zhu (Digit. Signal Process., 2022)

An anisotropic non-local attention network for image segmentation. - Feiniu Yuan; Yaowen Zhu; Kang Li; Zhijun Fang; Jinting Shi (Mach. Vis. Appl., 2022)

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

A multiple gated boosting network for multi-organ medical image segmentation. - Feiniu Yuan; Zhaoda Tang; Chunmei Wang; Qinghua Huang; Jinting Shi (IET Image Process., 2023)

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