袁非牛，男，教授，博士，博士生導師，副院長，上海市中小學在線教育研究基地副主任，學科帶頭人。CCF高級會員，IEEE高級會員，CCF多媒體專委會委員，中國圖象圖形學會多媒體專委會委員，上海市圖像圖形學會理事，《中國圖象圖形學報》編委。2011年，江西省高校中青年骨干教師。2013年，南昌市科技創(chuàng)新領(lǐng)軍人才“洪城特聘專家”。2014年，江西省青年科學家培養(yǎng)對象。2015~2018年，江西省重點學科“計算機科學與技術(shù)”學科帶頭人，江西財經(jīng)大學“圖像處理與智能信息處理”創(chuàng)新團隊負責人、智能信息處理研究所所長，江西省數(shù)字媒體重點實驗室副主任。曾獲原機械工業(yè)部“部級優(yōu)秀畢業(yè)生”、中國科學院“院長優(yōu)秀獎”、江西財經(jīng)大學“科研十強”、“十大優(yōu)秀研究生導師”等榮譽。

主持國家科技支撐計劃子專題、國家自然科學基金項目、中國博士后基金、國家重點實驗室開放課題、江西省自然科學基金、江西省高�？萍悸涞赜媱濏椖�、江西省教育廳科技項目等項目。在IEEE Transactions on Image Processing、IEEE Transactions on Biomedical Engineering、Pattern Recognition、Fire Safety Journal、Digital Signal Processing、Information Sciences、Neurocomputing、Computer Vision and Image Understanding、計算機學報等上發(fā)表論文90多篇。其中，SCI/EI收錄50多篇，JCR Q1區(qū)以上20多篇。授權(quán)國內(nèi)發(fā)明專利5項。

積極開展產(chǎn)學研合作。例如，已經(jīng)成功為江西科泰華軟件公司(http://www.jxkth.com)解決人臉識別、圖像分割、人像摳圖和美顏等算法難題，這些算法已經(jīng)應用在自助拍照機等產(chǎn)品上，并研發(fā)出基于Windows、Android和iOS系統(tǒng)的證件照摳圖算法模塊，相關(guān)產(chǎn)品已在在全國各地公安派出所應用，產(chǎn)生很好的社會效應和幾千萬元的經(jīng)濟效益。采用深度學習算法，提出一種專門的端對端人像摳圖網(wǎng)絡(luò)模型，實現(xiàn)了快速、準確的全自動人像摳圖智能算法，并在二代身份證自助拍照系統(tǒng)、駕駛證自助拍照系統(tǒng)等廣泛應用。

在視頻煙霧事件檢測的方面，提出基于AdaBoost算法和分區(qū)不變性特征的視頻煙霧檢測等方法，并采用Visual C++開發(fā)出一套視頻煙霧檢測系統(tǒng)。為了方便探索新的視頻煙霧檢測算法，我們拍攝了幾組煙霧和非煙霧視頻，并采用手工方法建立了幾套煙霧和非煙霧靜態(tài)圖像庫。

積極開展產(chǎn)學研合作。例如，已經(jīng)成功為公司解決人臉識別、圖像分割、人像摳圖和美顏等算法難題，這些算法已經(jīng)應用在自助拍照機等產(chǎn)品上，并研發(fā)出基于Windows、Android和iOS系統(tǒng)的證件照摳圖算法模塊，相關(guān)產(chǎn)品已在在全國各地公安派出所應用，產(chǎn)生很好的社會效應和幾千萬元的經(jīng)濟效益。采用深度學習算法，提出一種專門的端對端人像摳圖網(wǎng)絡(luò)模型，實現(xiàn)了快速、準確的全自動人像摳圖智能算法，并在二代身份證自助拍照系統(tǒng)、駕駛證自助拍照系統(tǒng)等廣泛應用。

[1].FeiniuYuan, Lin Zhang, Xue Xia,Qinghua Huang, Xuelong Li, "A Gated Recurrent Network with DualClassification Assistance for Smoke Semantic Segmentation,"IEEETransactions on Image Processing, DOI: 10.1109/TIP.2021.3069318, online. (JCR Q1區(qū)，中科院1區(qū)，影響因子6.790)

[2].FeiniuYuan, Lin Zhang, Xue Xia, Qinghua Huang, Xuelong Li," A Wave-shaped Deep Neural Network for Smoke Density Estimation,"IEEE Transactions on Image Processing,vol. 29, 2020, pp. 2301-2313. (JCR Q1區(qū)，中科院1區(qū)，影響因子6.790)

[3].FeiniuYuan, Yu Zhou, Xue Xia, Jinting Shi, Yuming Fang,Xueming Qian “Image dehazing based on a transmission fusion strategy byautomatic image matting,”ComputerVision and Image Understanding, vol. 194, 2020, pp. 1-11.(JCR Q1區(qū)，CCF 推薦的B類期刊，影響因子2.645，SCI期刊)

[4]. YumingFang, Guanqun Ding, Wenying Wen,Feiniu Yuan, Yong Yang, Zhijun Fang,Weisi Lin, "Salient Object Detection by Spatiotemporal and SemanticFeatures in Real-Time Video Processing Systems,"IEEE Transactions on Industrial Electronics, vol. 67, no. 11, 2020, pp. 9893-9903.(JCR Q1區(qū)，中科院1區(qū)，影響因子7.503)

[5]. QinghuaHuang, Yonghao Huang, Yaozhong Luo,FeiniuYuan, Xuelong Li, "Segmentation of breast ultrasound image withsemantic classification of superpixels,"Medical Image Analysis, vol. 61, 2020, pp. 1-13. (JCR Q1區(qū)，中科院1區(qū)，影響因子8.880)

[6]. QinghuaHuang, Fengxin Pan, Wei Li,Feiniu Yuan,Hangtong Hu, Jinhua Huang, Jie Yu, Wei Wang, " Differential Diagnosis ofAtypical Hepatocellular Carcinoma in Contrast-Enhanced Ultrasound UsingSpatio-Temporal Diagnostic Semantics, ”IEEEJournal of Biomedical and Health Informatics, , vol. 24, no. 10, 2020, pp.2860 - 2869. (JCR Q1區(qū)，中科院2區(qū)，影響因子4.217)

[7].FeiniuYuan,GangLi, Xue Xia, Lin Zhang, Jinting Shi,“Multi-layer Gabor Filtering for VisualSmoke Recognition,”Pattern Analysis andApplications, 23, 2020, pages1117u20131131. (JCR Q2區(qū)，SCI)

[8].袁非牛,章琳,史勁亭,夏雪,李鋼.自編碼神經(jīng)網(wǎng)絡(luò)理論及應用綜述.計算機學報,42(1), 2019: 203-230. (EI：20191706819309)

[9]. YumingFang, Xiaoqiang Zhang,Feiniu Yuan (通訊作者),Nevrez Imamoglu, Haiwen Liu, " Video Saliency Detection by Gestalt Theory,"Pattern Recognition, vol. 96,no. 12, Dec. 2019, pp. 1-11. (JCR Q1區(qū)，中科院1區(qū)，影響因子5.898)

[10].Feiniu Yuan,Lin Zhang, Xue Xia, Boyang Wan, Qinghua Huang, Xuelong Li, “Deep SmokeSegmentation,”Neurocomputing, vol.357, 2019, pp. 248u2013260.(SCI期刊，JCRQ1區(qū)，中科院2區(qū)，影響因子4.072)

[11].Feiniu Yuan,Gang Li, Xue Xia, Lin Zhang, Jinting Shi, “FusingTexture, Edge and Line Features for Smoke Recognition,”IET Image Processing, vol. 13, no. 14, 2019, pp. 2805-2812.(JCR Q1區(qū)，CCF 推薦的C類期刊，SCI期刊論文，影響因子2.004)

[12].Feiniu Yuan,Jinting Shi, Xue Xia, Qinghua Huang, and Xuelong Li, “Co-occurrence Matching ofLocal Binary Patterns for Improving Visual Adaption and Its application toSmoke Recognition,”IET Computer Vision,Volume 13, Issue 2, March 2019, pp. 178u2013187.(JCR Q2區(qū)， CCF 推薦的C類期刊，SCI期刊論文，影響因子1.648)

[13].Feiniu Yuan,Lin Zhang, Boyang Wan, Xue Xia and Jinting Shi, "Convolutional NeuralNetworks based on Multi-Scale Additive Merging Layers for Visual SmokeRecognition, "Machine Vision andApplications, vol. 30, no. 2, 2019, pp. 345u2013358. (CCF 推薦的C類期刊，JCR Q2區(qū)，SCI期刊論文，影響因子1.788)

[14].FeiniuYuan, Tiantian Tang, Xue Xia, Jinting Shi, and ShuyingLi, "Dual-Encoded Features from Both Spatial and Curvelet Domains forImage Smoke Recognition, "KSIITransactions on Internet and Information Systems, vol. 13, no. 4, pp.2078-2093, 2019.(SCI期刊，JCRQ3區(qū))

[15].Feiniu Yuan,Xue Xia, Jinting Shi, “Holistic learning-based high-order feature descriptorfor smoke recognition”InternationalJournal of Wavelets, Multiresolution and Information Processing, vol. 17,no. 2, 2019. (SCI期刊，JCRQ3區(qū))

[16]. Zhifang Xia, Weiling Chen, Qiaohong Li,FeiniuYuan, Chuangeng Tian, Lu Tang, "Prediction of Mobile Image Saliencyand Quality Under Cloud Computing Environment, "Digital Signal Processing, vol. 91, 2019, pp.66-76. (JCR Q1區(qū)，影響因子2.792)

[17].Feiniu Yuan,Jinting Shi, Xue Xia, Lin Zhang, Shuying Li, "Encoding Pairwise HammingDistances of Local Binary Patterns for Visual Smoke Recognition,"Computer Vision and Image Understanding,vol. 178, pp. 43-53, Jan. 2019.(JCR Q1區(qū)，CCF推薦的B類期刊，影響因子2.645，SCI期刊)

[18]. Yu Zhou,Feiniu Yuan(通訊作者), XueXia, Ya Li, "Single image haze removal by feature mapping, "ICME Workshop, Shanghai, China, July 8to 12, 2019, pp. 144-149. (CCF B類會議，EI：20193607389700)

[19]. 夏雪，袁非牛(通訊作者)，章琳，楊龍箴，史勁亭，“從傳統(tǒng)到深度：視覺煙霧識別、檢測到分割”，中國圖象圖形學報，火情與煙霧專欄，特邀投稿，vol. 24, no. 10, 2019: 1627-1647.

[20]. 楊龍箴，袁非牛(通訊作者)，楊壽淵，雷幫軍，“基于連續(xù)圖卷積模型的視頻煙霧檢測方法”，中國圖象圖形學報，火情與煙霧專欄，特邀投稿，vol. 24, no. 10, 2019: 1658-1669.

[21].袁非牛，李鋼，夏雪，章琳，周宇. 采用聚合Gabor核和局部二元模式的煙霧識別方法.小型微型計算機系統(tǒng), vol.40, no. 4, 2019: 827-833.

[22].袁非牛，夏雪，李鋼，章琳，史勁亭. 面向煙霧識別與紋理分類的Gabor網(wǎng)絡(luò).中國圖象圖形學報,24(2), 2019: 269-281.

[23].Feiniu Yuan,Xue Xia, Jinting Shi, Lin Zhang, Jifeng Huang, "Learning multi-scale andmulti-order features from 3D local differences for visual smokerecognition,"Information Sciences,vol. 468, pp. 193-212, Nov. 2018. (JCRQ1區(qū)區(qū)，中科院1區(qū)，影響因子5.524)

[24].Feiniu Yuan,Xue Xia, Jinting Shi, “Mixed Co-occurrence of Local Binary Patterns andHamming-distance-based Local Binary Patterns,”Information Sciences, vol. 460u2013461, pp. 202-222, Sep. 2018. (JCR Q1區(qū)，中科院1區(qū)，影響因子5.524)

[25]. 史勁亭,袁非牛(通訊作者),夏雪.視頻煙霧檢測研究進展.中國圖象圖形學報,23(3) , 2018: 303-322.

[26]. Zhijian Yin, Boyang Wan,Feiniu Yuan (通訊作者),Xue Xia, Jinting Shi, "A deep normalization and convolutional neuralnetwork for image smoke detection, "IEEEAccess, vol. 5，pp.18429 u2013 18438, Aug. 2017. (JCR Q1區(qū)，影響因子4.098，SCI期刊論文)

[27].FeiniuYuan, Xue Xia, Jinting Shi, Hongdi Li, Gang Li,"Non-linear Dimensionality Reduction and Gaussian Process basedClassification Method for Smoke Detection,"IEEE Access, vol.5, pp. 6833-6841, Apr. 2017. (JCR Q1區(qū)，影響因子4.098，SCI期刊論文)

[28]. Yuming Fang, Zhijun Fang,Feiniu Yuan, Yong Yang, Shouyuan Yang,Neal N. Xiong. Optimized Multi-operator Image Retargeting Based on PerceptualSimilarity Measure.IEEE Transactions onSystems, Man, and Cybernetics: Systems, Volume 47, Issue 11，pp.2956-2966, Oct. 2017. (JCR Q1, SCI，影響因子7.351)

[29]. 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, vol. 4, pp. 4573-4582,Aug. 2016. (JCR Q1區(qū)，影響因子4.098，SCI)

[30].FeiniuYuan, Jinting Shi, Xue Xia, Yuming Fang, Zhijun Fang,Tao Mei, “High-order local ternary patterns with locality preserving projectionfor smoke detection and image classification,”Information Sciences, vol. 372, pp. 225-240, Dec. 2016. (JCR Q1區(qū)，中科院1區(qū)，影響因子5.524，SCI).

[31].FeiniuYuan, Jinting Shi, Xue Xia, Yong Yang, Yuming Fang, RuiWang. Sub Oriented Histograms of Local Binary Patterns for Smoke Detection andTexture Classification.KSIITransactions on Internet and Information Systems, vol. 10, no. 4, pp.1807-1823, Apr. 2016.(SCI期刊，JCRQ3區(qū))

[32].FeiniuYuan, Zhijun Fang, Shiqian Wu, Yong Yang, Yuming Fang. AReal-Time Video Smoke Detection Using Staircase Searching Based Dual ThresholdAdaBoost and Dynamic Analysis.IET ImageProcessing, vol. 9, no. 10, pp. 849-856, Oct. 2015.(JCR Q1區(qū)，CCF 推薦的C類期刊，影響因子2.004)

[33].FeiniuYuan. Rotation and Scale Invariant Local Binary PatternBased on High Order Directional Derivatives for Texture Classification.Digital Signal Processing, vol. 26, no.3, pp. 142-152, Mar. 2014. (JCR Q1區(qū)，影響因子2.792).

[34].Feiniu Yuan,Kai-Hsiang Chuang, and Jimin Liu. A Variational Surface Deformation andSubdivision Based Modeling Framework for Noisy and Small n-Furcated Tube-LikeStructures.IEEE Transactions onBiomedical Engineering, vol. 60, no. 6, pp. 1589-1598, Jun. 2013. (JCR Q1區(qū)，中科院2區(qū)，影響因子4.491)

[35].Feiniu Yuan.A double mapping framework for extraction of shape-invariant features based onmulti-scale partitions with Adaboost for video smoke detection.Pattern Recognition, vol. 45, no. 12, pp.4326-4336, Dec. 2012. (JCR Q1區(qū)，中科院1區(qū)，影響因子5.898)

[36].Feiniu Yuan,Yanling Chi, Su Huang, and Jimin Liu. Modeling n-Furcated Liver vessels From a3D Segmented Volume Using Hole Making and Subdivision Methods.IEEE Transactions on Biomedical Engineering,vol. 59, no. 2, pp. 552-561, Feb. 2012. (JCRQ1區(qū)，中科院2區(qū)，影響因子4.491)

[37].Feiniu Yuan.An interactive concave volume clipping method based on GPU ray casting withboolean operation.Computing andInformatics, vol. 31, no. 3, pp. 551-571, Sep. 2012. (SCI收錄期刊論文)

[38].FeiniuYuan. Video-based smoke detection with histogramsequence of LBP and LBPV pyramids.FireSafety Journal, vol. 46, no. 3, pp. 132-139, Mar. 2011. (JCR Q1區(qū)，火災科學國際權(quán)威期刊，影響因子1.659，該論文為2011~2016年《FireSafety Journal》近5年most cited paper)

[39].FeiniuYuan. An integrated fire detection and suppressionsystem based on widely available video surveillance.Machine Vision and Applications, vol. 21, no. 6, pp. 941-948, Jun.2010. (CCF 推薦的C類期刊，JCRQ2區(qū)，影響因子1.788，SCI收錄期刊論文)

[1].基于Gabor卷積網(wǎng)絡(luò)的多隱層高斯過程煙霧特征建模研究，國家自然科學基金(61862029)，項目負責人，2019-2022。

[2].煙霧流形建模及其在視頻煙霧事件檢測中的應用，國家自然科學基金(61363038)，項目負責人，2014-2017。

[3].面向煙霧檢測的局部二元模式多級提升方法研究，國家自然科學基金(61063034)，項目負責人，2011-2013。

[4].高原古建筑火災視頻煙霧探測技術(shù)研究，國家科技支撐計劃“以布達拉宮為代表的高原古建筑火災安全技術(shù)研究”子專題(2006BAK06B07)，項目負責人，2006-2008。

[5]. 江西省青年科學家培養(yǎng)對象，江西省科學技術(shù)廳(20142BCB23014)，項目負責人，2015-2017。

[6].袁非牛，南昌市科技創(chuàng)新領(lǐng)軍人才“洪城特聘專家”，人像比對應用共享服務平臺開發(fā)項目，項目負責人，2013-2014。