An Interactive 3d Visualization System Based on Pc Using Intel Simd, 3d Texturing and Thinning Techniques. - Feiniu Yuan; Guangxuan Liao; Weicheng Fan; Wenhui Lang; Zhengmin Liu (Int. J. Pattern Recognit. Artif. Intell., 2006)

A fast accumulative motion orientation model based on integral image for video smoke detection. - Feiniu Yuan (Pattern Recognit. Lett., 2008)

An integrated fire detection and suppression system based on widely available video surveillance. - Feiniu Yuan (Mach. Vis. Appl., 2010)

An Interactive Concave Volume Clipping Method Based on GPU Ray Casting with Boolean Operation. - Feiniu Yuan (Comput. Informatics, 2012)

A double mapping framework for extraction of shape-invariant features based on multi-scale partitions with AdaBoost for video smoke detection. - Feiniu Yuan (Pattern Recognit., 2012)

Modeling n-Furcated Liver vessels From a 3-D Segmented Volume Using Hole-Making and Subdivision Methods. - Feiniu Yuan; Yanling Chi; Su Huang; Jimin Liu (IEEE Trans. Biomed. Eng., 2012)

A Variational Surface Deformation and Subdivision-Based Modeling Framework for Noisy and Small $n$-Furcated Tube-Like Structures. - Feiniu Yuan; Kai-Hsiang Chuang; Jimin Liu (IEEE Trans. Biomed. Eng., 2013)

Learning visual saliency for stereoscopic images. - Yuming Fang; Weisi Lin; Zhijun Fang; Jianjun Lei; Patrick Le Callet; Feiniu Yuan (ICME Workshops, 2014)

Rotation and scale invariant local binary pattern based on high order directional derivatives for texture classification. - Feiniu Yuan (Digit. Signal Process., 2014)

Real-time image smoke detection using staircase searching-based dual threshold AdaBoost and dynamic analysis. - Feiniu Yuan; Zhijun Fang; Shiqian Wu; Yong Yang 001; Yuming Fang (IET Image Process., 2015)

Remote Sensing Image Fusion Based on Adaptive IHS and Multiscale Guided Filter. - Yong Yang 001; Weiguo Wan; Shuying Huang; Feiniu Yuan; Shouyuan Yang; Yue Que (IEEE Access, 2016)

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)

Optimized Multioperator Image Retargeting Based on Perceptual Similarity Measure. - Yuming Fang; Zhijun Fang; Feiniu Yuan; Yong Yang 001; Shouyuan Yang; Neal N. Xiong (IEEE Trans. Syst. Man Cybern. Syst., 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)

Single Image Haze Removal by Feature Mapping. - Yu Zhou; Feiniu Yuan; Xue Xia; Ya Li (ICME Workshops, 2019)

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)

Prediction of mobile image saliency and quality under cloud computing environment. - Zhifang Xia; Weiling Chen; Qiaohong Li; Feiniu Yuan; Chuangeng Tian; Lu Tang 001 (Digit. Signal Process., 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)

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

Video saliency detection by gestalt theory. - Yuming Fang; Xiaoqiang Zhang 007; Feiniu Yuan; Nevrez Imamoglu; Haiwen Liu (Pattern Recognit., 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)

Segmentation of breast ultrasound image with semantic classification of superpixels. - Qinghua Huang; Yonghao Huang; Yaozhong Luo; Feiniu Yuan; Xuelong Li 001 (Medical Image Anal., 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)

Salient Object Detection by Spatiotemporal and Semantic Features in Real-Time Video Processing Systems. - Yuming Fang; Guanqun Ding; Wenying Wen; Feiniu Yuan; Yong Yang 001; Zhijun Fang; Weisi Lin (IEEE Trans. Ind. Electron., 2020)

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

Differential Diagnosis of Atypical Hepatocellular Carcinoma in Contrast-Enhanced Ultrasound Using Spatio-Temporal Diagnostic Semantics. - Qinghua Huang; Fengxin Pan; Wei Li; Feiniu Yuan; Hangtong Hu; Jinhua Huang; Jie Yu; Wei Wang 181 (IEEE J. Biomed. Health Informatics, 2020)

A confidence prior for image dehazing. - Feiniu Yuan; Yu Zhou 009; Xue Xia; Xueming Qian; Jian Huang (Pattern Recognit., 2021)

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

Multi-Modality Reconstruction Attention and Difference Enhancement Network for Brain MRI Image Segmentation. - Xiangfen Zhang; Yan Liu; Qingyi Zhang; Feiniu Yuan (IEEE Access, 2022)

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)

LightNet+: Boosted Light-Weighted Network for Smoke Semantic Segmentation. - Kang Li; Chunmei Wang; Chunli Meng; Feiniu Yuan (IFTC (1), 2023)

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)

Edge-reinforced attention network for smoke semantic segmentation. - Lin Zhang; Feiniu Yuan; Xue Xia (Multim. Tools Appl., 2023)

A cross-scale mixed attention network for smoke segmentation. - Feiniu Yuan; Yu Shi; Lin Zhang; Yuming Fang (Digit. Signal Process., 2023)

An effective CNN and Transformer complementary network for medical image segmentation. - Feiniu Yuan; Zhengxiao Zhang; Zhijun Fang (Pattern Recognit., 2023)

A lightweight network for smoke semantic segmentation. - Feiniu Yuan; Kang Li; Chunmei Wang; Zhijun Fang (Pattern Recognit., 2023)

Watermarking Vision-Language Models. - Shan Wan; Wu Liu; Yijun Liu; Feiniu Yuan; Chunli Meng (MMAsia, 2024)

Prompting Industrial Anomaly Segment with Large Vision-Language Models. - Jinheng Zhou; Wu Liu; Guang Yang 031; He Zhao; Feiniu Yuan (MMAsia, 2024)

Multi-scale recurrent attention gated fusion network for single image dehazing. - Xiangfen Zhang; Shuo Yang; Qingyi Zhang; Feiniu Yuan (J. Vis. Commun. Image Represent., 2024)

Light field image coding using a residual channel attention network-based view synthesis. - Faguo Liu; Qian Zhang 033; Tao Yan 003; Bin Wang 052; Ying Gao; Jiaqi Hou; Feiniu Yuan (Data Technol. Appl., 2024)

A Bi-Directionally Fused Boundary Aware Network for Skin Lesion Segmentation. - Feiniu Yuan; Yuhuan Peng; Qinghua Huang; Xuelong Li 001 (IEEE Trans. Image Process., 2024)

Smoke-Aware Global-Interactive Non-Local Network for Smoke Semantic Segmentation. - Lin Zhang; Jing Wu; Feiniu Yuan; Yuming Fang (IEEE Trans. Image Process., 2024)

Dual-Guided Frequency Prototype Network for Few-Shot Semantic Segmentation. - Chunlin Wen; Hui Huang; Yan Ma 005; Feiniu Yuan; Hongqing Zhu (IEEE Trans. Multim., 2024)

A dense multi-scale context and asymmetric pooling embedding network for smoke segmentation. - Gang Wen; Fangrong Zhou; Yutang Ma; Hao Pan; Hao Geng; Jun Cao; Kang Li; Feiniu Yuan (IET Comput. Vis., 2024)

Smoke semantic segmentation with multi-scale residual paths and weighted middle surveillances. - Feiniu Yuan; Lin Zhang; Xue Xia (Multim. Tools Appl., 2024)

An adaptive dual graph convolution fusion network for aspect-based sentiment analysis. - Chunmei Wang; Yuan Luo; Chunli Meng; Feiniu Yuan (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2024)

Deep Learning-Based CSI Feedback for RIS-Aided Massive MIMO Systems With Time Correlation. - Zhangjie Peng; Zhaotian Li; Ruijing Liu; Cunhua Pan; Feiniu Yuan; Jiangzhou Wang (IEEE Wirel. Commun. Lett., 2024)

A pyramid Gaussian pooling based CNN and transformer hybrid network for smoke segmentation. - Guiqian Wang; Feiniu Yuan; Hongdi Li; Zhijun Fang (IET Image Process., 2024)

Few-Shot Semantic Segmentation with Frequency Prototype Learning. - Chunlin Wen; Hui Huang; Yan Ma 005; Feiniu Yuan; Hongqing Zhu; Peng Zhu (Comput. Informatics, 2025)

Multi-level perturbations in image and feature spaces for semi-supervised medical image segmentation. - Feiniu Yuan; Biao Xiang; Zhengxiao Zhang; Changhong Xie; Yuming Fang (Displays, 2025)

Multimodal learning with feature fusion transformer for image captioning. - Wenqing Zhu; Feiniu Yuan (Displays, 2025)

An effective multi-scale interactive fusion network with hybrid Transformer and CNN for smoke image segmentation. - Kang Li; Feiniu Yuan; Chunmei Wang (Pattern Recognit., 2025)

Fully exploring object relation interaction and hidden state attention for video captioning. - Feiniu Yuan; Sipei Gu; Xiangfen Zhang; Zhijun Fang (Pattern Recognit., 2025)

A newton interpolation network for smoke semantic segmentation. - Feiniu Yuan; Guiqian Wang; Qinghua Huang; Xuelong Li 001 (Pattern Recognit., 2025)

A dual-level part distillation network for fine-grained visual categorization. - Xiangfen Zhang; Shitao Hong; Haixia Luo; Zhen Jiang; Feiniu Yuan (Signal Process. Image Commun., 2025)

A scale-cross non-local network with higher-level semantics guidance for smoke segmentation. - Lin Zhang; Jing Wu; Yun Zhao; Feiniu Yuan (Appl. Intell., 2025)

Frequency-Space Interaction With Hierarchical Aggregation Network for Lightweight Smoke Image Segmentation. - Kang Li; Feiniu Yuan; Chunmei Wang (IEEE Trans. Consumer Electron., 2025)