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2020 – today
- 2024
[j51]Gang Wen, Fangrong Zhou, Yutang Ma, Hao Pan, Hao Geng, Jun Cao, Kang Li
, Feiniu Yuan:
A dense multi-scale context and asymmetric pooling embedding network for smoke segmentation. IET Comput. Vis. 18(2): 236-246 (2024)- [j50]Xiangfen Zhang, Shuo Yang, Qingyi Zhang, Feiniu Yuan:
Multi-scale recurrent attention gated fusion network for single image dehazing. J. Vis. Commun. Image Represent. 101: 104171 (2024) - [j49]Feiniu Yuan, Lin Zhang, Xue Xia:
Smoke semantic segmentation with multi-scale residual paths and weighted middle surveillances. Multim. Tools Appl. 83(16): 47199-47224 (2024) - [j48]Faguo Liu, Qian Zhang, Tao Yan, Bin Wang, Ying Gao, Jiaqi Hou, Feiniu Yuan:
Light field image coding using a residual channel attention network-based view synthesis. Data Technol. Appl. 58(4): 652-668 (2024) - [j47]Chunmei Wang, Yuan Luo, Chunli Meng, Feiniu Yuan:
An adaptive dual graph convolution fusion network for aspect-based sentiment analysis. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(6): 76 (2024) - [j46]Lin Zhang, Jing Wu, Feiniu Yuan, Yuming Fang:
Smoke-Aware Global-Interactive Non-Local Network for Smoke Semantic Segmentation. IEEE Trans. Image Process. 33: 1175-1187 (2024) - [j45]Chunlin Wen, Hui Huang, Yan Ma, Feiniu Yuan, Hongqing Zhu:
Dual-Guided Frequency Prototype Network for Few-Shot Semantic Segmentation. IEEE Trans. Multim. 26: 8874-8888 (2024) - [j44]Zhangjie Peng, Zhaotian Li, Ruijing Liu, Cunhua Pan, Feiniu Yuan, Jiangzhou Wang:
Deep Learning-Based CSI Feedback for RIS-Aided Massive MIMO Systems With Time Correlation. IEEE Wirel. Commun. Lett. 13(8): 2060-2064 (2024) - 2023
- [j43]Feiniu Yuan, Yu Shi, Lin Zhang, Yuming Fang:
A cross-scale mixed attention network for smoke segmentation. Digit. Signal Process. 134: 103924 (2023) - [j42]Feiniu Yuan, Zhaoda Tang, Chunmei Wang, Qinghua Huang, Jinting Shi:
A multiple gated boosting network for multi-organ medical image segmentation. IET Image Process. 17(10): 3028-3039 (2023) - [j41]Lin Zhang, Feiniu Yuan, Xue Xia:
Edge-reinforced attention network for smoke semantic segmentation. Multim. Tools Appl. 82(20): 31259-31284 (2023) - [j40]Feiniu Yuan, Zhengxiao Zhang, Zhijun Fang:
An effective CNN and Transformer complementary network for medical image segmentation. Pattern Recognit. 136: 109228 (2023) - [j39]Feiniu Yuan, Kang Li, Chunmei Wang, Zhijun Fang:
A lightweight network for smoke semantic segmentation. Pattern Recognit. 137: 109289 (2023) - [c3]Kang Li, Chunmei Wang, Chunli Meng, Feiniu Yuan:
LightNet+: Boosted Light-Weighted Network for Smoke Semantic Segmentation. IFTC (1) 2023: 69-84 - 2022
- [j38]Xiangfen Zhang, Yan Liu, Qingyi Zhang, Feiniu Yuan:
Multi-Modality Reconstruction Attention and Difference Enhancement Network for Brain MRI Image Segmentation. IEEE Access 10: 31058-31069 (2022) - [j37]Feiniu Yuan, Kang Li, Chunmei Wang, Jinting Shi, Yaowen Zhu:
Fully extracting feature correlation between and within stages for semantic segmentation. Digit. Signal Process. 127: 103578 (2022) - [j36]Feiniu Yuan, Yaowen Zhu, Kang Li, Zhijun Fang, Jinting Shi:
An anisotropic non-local attention network for image segmentation. Mach. Vis. Appl. 33(2): 23 (2022) - [j35]Feiniu Yuan, Zeshu Dong, Lin Zhang, Xue Xia, Jinting Shi:
Cubic-cross convolutional attention and count prior embedding for smoke segmentation. Pattern Recognit. 131: 108902 (2022) - 2021
- [j34]Feiniu Yuan, Yu Zhou, Xue Xia, Xueming Qian, Jian Huang:
A confidence prior for image dehazing. Pattern Recognit. 119: 108076 (2021) - [j33]Feiniu Yuan, Lin Zhang, Xue Xia, Qinghua Huang, Xuelong Li:
A Gated Recurrent Network With Dual Classification Assistance for Smoke Semantic Segmentation. IEEE Trans. Image Process. 30: 4409-4422 (2021) - 2020
- [j32]Feiniu Yuan, Yu Zhou, Xue Xia, Jinting Shi, Yuming Fang, Xueming Qian:
Image dehazing based on a transmission fusion strategy by automatic image matting. Comput. Vis. Image Underst. 194: 102933 (2020) - [j31]Qinghua Huang, Yonghao Huang, Yaozhong Luo, Feiniu Yuan, Xuelong Li:
Segmentation of breast ultrasound image with semantic classification of superpixels. Medical Image Anal. 61: 101657 (2020) - [j30]Feiniu Yuan, Gang Li, Xue Xia, Jinting Shi, Lin Zhang:
Encoding features from multi-layer Gabor filtering for visual smoke recognition. Pattern Anal. Appl. 23(3): 1117-1131 (2020) - [j29]Yuming Fang, Guanqun Ding, Wenying Wen, Feiniu Yuan, Yong Yang, Zhijun Fang, Weisi Lin:
Salient Object Detection by Spatiotemporal and Semantic Features in Real-Time Video Processing Systems. IEEE Trans. Ind. Electron. 67(11): 9893-9903 (2020) - [j28]Feiniu Yuan, Lin Zhang, Xue Xia, Qinghua Huang, Xuelong Li:
A Wave-Shaped Deep Neural Network for Smoke Density Estimation. IEEE Trans. Image Process. 29: 2301-2313 (2020) - [j27]Qinghua Huang, Fengxin Pan, Wei Li, Feiniu Yuan, Hangtong Hu, Jinhua Huang, Jie Yu, Wei Wang:
Differential Diagnosis of Atypical Hepatocellular Carcinoma in Contrast-Enhanced Ultrasound Using Spatio-Temporal Diagnostic Semantics. IEEE J. Biomed. Health Informatics 24(10): 2860-2869 (2020)
2010 – 2019
- 2019
- [j26]Feiniu Yuan, Jinting Shi, Xue Xia, Lin Zhang, Shuying Li:
Encoding pairwise Hamming distances of Local Binary Patterns for visual smoke recognition. Comput. Vis. Image Underst. 178: 43-53 (2019) - [j25]Zhifang Xia, Weiling Chen, Qiaohong Li, Feiniu Yuan, Chuangeng Tian, Lu Tang:
Prediction of mobile image saliency and quality under cloud computing environment. Digit. Signal Process. 91: 66-76 (2019) - [j24]Feiniu Yuan, Jinting Shi, Xue Xia, Qinghua Huang, Xuelong Li:
Co-occurrence matching of local binary patterns for improving visual adaption and its application to smoke recognition. IET Comput. Vis. 13(2): 178-187 (2019) - [j23]Feiniu Yuan, Gang Li, Xue Xia, Bangjun Lei, Jinting Shi:
Fusing texture, edge and line features for smoke recognition. IET Image Process. 13(14): 2805-2812 (2019) - [j22]Feiniu Yuan, Lin Zhang, Xue Xia, Boyang Wan, Qinghua Huang, Xuelong Li:
Deep smoke segmentation. Neurocomputing 357: 248-260 (2019) - [j21]Feiniu Yuan, Xue Xia, Jinting Shi:
Holistic learning-based high-order feature descriptor for smoke recognition. Int. J. Wavelets Multiresolution Inf. Process. 17(2): 1940005:1-1940005:18 (2019) - [j20]Feiniu Yuan, Tiantian Tang, Xue Xia, Jinting Shi, Shuying Li:
Dual-Encoded Features from Both Spatial and Curvelet Domains for Image Smoke Recognition. KSII Trans. Internet Inf. Syst. 13(4): 2078-2093 (2019) - [j19]Feiniu Yuan, Lin Zhang, Boyang Wan, Xue Xia, Jinting Shi:
Convolutional neural networks based on multi-scale additive merging layers for visual smoke recognition. Mach. Vis. Appl. 30(2): 345-358 (2019) - [j18]Yuming Fang, Xiaoqiang Zhang, Feiniu Yuan, Nevrez Imamoglu, Haiwen Liu:
Video saliency detection by gestalt theory. Pattern Recognit. 96 (2019) - [c2]Yu Zhou, Feiniu Yuan, Xue Xia, Ya Li:
Single Image Haze Removal by Feature Mapping. ICME Workshops 2019: 144-149 - 2018
- [j17]Feiniu Yuan, Xue Xia, Jinting Shi:
Mixed co-occurrence of local binary patterns and Hamming-distance-based local binary patterns. Inf. Sci. 460-461: 202-222 (2018) - [j16]Feiniu Yuan, Xue Xia, Jinting Shi, Lin Zhang, Jifeng Huang:
Learning multi-scale and multi-order features from 3D local differences for visual smoke recognition. Inf. Sci. 468: 193-212 (2018) - [i1]Feiniu Yuan, Lin Zhang, Xue Xia, Boyang Wan, Qinghua Huang, Xuelong Li:
Deep Smoke Segmentation. CoRR abs/1809.00774 (2018) - 2017
- [j15]Feiniu Yuan, Xue Xia, Jinting Shi, Hongdi Li, Gang Li:
Non-Linear Dimensionality Reduction and Gaussian Process Based Classification Method for Smoke Detection. IEEE Access 5: 6833-6841 (2017) - [j14]Zhijian Yin, Boyang Wan, Feiniu Yuan, Xue Xia, Jinting Shi:
A Deep Normalization and Convolutional Neural Network for Image Smoke Detection. IEEE Access 5: 18429-18438 (2017) - [j13]Yuming Fang, Zhijun Fang, Feiniu Yuan, Yong Yang, Shouyuan Yang, Neal N. Xiong:
Optimized Multioperator Image Retargeting Based on Perceptual Similarity Measure. IEEE Trans. Syst. Man Cybern. Syst. 47(11): 2956-2966 (2017) - 2016
- [j12]Yong Yang, Weiguo Wan, Shuying Huang, Feiniu Yuan, Shouyuan Yang, Yue Que:
Remote Sensing Image Fusion Based on Adaptive IHS and Multiscale Guided Filter. IEEE Access 4: 4573-4582 (2016) - [j11]Feiniu Yuan, Jinting Shi, Xue Xia, Yuming Fang, Zhijun Fang, Tao Mei:
High-order local ternary patterns with locality preserving projection for smoke detection and image classification. Inf. Sci. 372: 225-240 (2016) - [j10]Feiniu Yuan, Jinting Shi, Xue Xia, Yong Yang, Yuming Fang, Rui Wang:
Sub Oriented Histograms of Local Binary Patterns for Smoke Detection and Texture Classification. KSII Trans. Internet Inf. Syst. 10(4): 1807-1823 (2016) - 2015
- [j9]Feiniu Yuan, Zhijun Fang, Shiqian Wu, Yong Yang, Yuming Fang:
Real-time image smoke detection using staircase searching-based dual threshold AdaBoost and dynamic analysis. IET Image Process. 9(10): 849-856 (2015) - 2014
- [j8]Feiniu Yuan:
Rotation and scale invariant local binary pattern based on high order directional derivatives for texture classification. Digit. Signal Process. 26: 142-152 (2014) - [c1]Yuming Fang, Weisi Lin, Zhijun Fang, Jianjun Lei, Patrick Le Callet, Feiniu Yuan:
Learning visual saliency for stereoscopic images. ICME Workshops 2014: 1-6 - 2013
- [j7]Feiniu Yuan, Kai-Hsiang Chuang, Jimin Liu:
A Variational Surface Deformation and Subdivision-Based Modeling Framework for Noisy and Small $n$-Furcated Tube-Like Structures. IEEE Trans. Biomed. Eng. 60(6): 1589-1598 (2013) - 2012
- [j6]Feiniu Yuan:
An Interactive Concave Volume Clipping Method Based on GPU Ray Casting with Boolean Operation. Comput. Informatics 31(3): 551- (2012) - [j5]Feiniu Yuan:
A double mapping framework for extraction of shape-invariant features based on multi-scale partitions with AdaBoost for video smoke detection. Pattern Recognit. 45(12): 4326-4336 (2012) - [j4]Feiniu Yuan, Yanling Chi, Su Huang, Jimin Liu:
Modeling n-Furcated Liver vessels From a 3-D Segmented Volume Using Hole-Making and Subdivision Methods. IEEE Trans. Biomed. Eng. 59(2): 552-561 (2012) - 2010
- [j3]Feiniu Yuan:
An integrated fire detection and suppression system based on widely available video surveillance. Mach. Vis. Appl. 21(6): 941-948 (2010)
2000 – 2009
- 2008
- [j2]Feiniu Yuan:
A fast accumulative motion orientation model based on integral image for video smoke detection. Pattern Recognit. Lett. 29(7): 925-932 (2008) - 2006
- [j1]Feiniu Yuan, Guangxuan Liao, Weicheng Fan, Wenhui Lang, Zhengmin Liu:
An Interactive 3d Visualization System Based on Pc Using Intel Simd, 3d Texturing and Thinning Techniques. Int. J. Pattern Recognit. Artif. Intell. 20(3): 393-416 (2006)
Coauthor Index
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last updated on 2024-09-21 23:41 CEST by the dblp team
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