袁非牛

袁非牛，男，博士，上海師範大學教授，博士生導師，副院長。主要研究方向為人工智慧、深度學習、模式識別、醫學圖像處理、3D重建、虛擬現實。

基本介紹

• 中文名：袁非牛
• 國籍：中國
• 民族：漢
• 畢業院校：中國科學技術大學
• 學位/學歷：博士
• 專業方向：圖像處理、模式識別、三維可視化
• 職務：副院長

個人簡介

 袁非牛，男，教授，博士，博士生導師，副院長，上海市人文社科重點研究基地“上海市中國小線上教育研究中心”副主任，院學術委員會副主任，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。2011年，江西省高校中青年骨幹教師。2013年，南昌市科技創新領軍人才“洪城特聘專家”。2014年，江西省傑青。2015~2018年，江西省重點學科“計算機科學與技術”學科帶頭人，江西財經大學“圖像處理與智慧型信息處理”創新團隊負責人、智慧型信息處理研究所所長，江西省數字媒體重點實驗室副主任。曾獲原機械工業部“部級優秀畢業生”、中國科學院“院長優秀獎”、江西財經大學“科研十強”、“十大優秀研究生導師”等榮譽。

主持國家科技支撐計畫子專題、國家自然科學基金項目、中國博士後基金、國家重點實驗室開放課題、江西省自然科學基金、江西省高校科技落地計畫項目、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、計算機學報等上發表論文90多篇。其中，SCI/EI收錄50多篇，JCR Q1區以上20多篇。授權國內發明專利5項。

科研成果

在視頻煙霧事件檢測的方面，提出基於AdaBoost算法和分區不變性特徵的視頻煙霧檢測等方法，並採用Visual C++開發出一套視頻煙霧檢測系統。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，並採用手工方法建立了幾套煙霧和非煙霧靜態圖像庫。

積極開展產學研合作。例如，已經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，這些算法已經套用在自助拍照機等產品上，並研發出基於Windows、Android和iOS系統的證件照摳圖算法模組，相關產品已在在全國各地公安派出所套用，產生很好的社會效應和幾千萬元的經濟效益。採用深度學習算法，提出一種專門的端對端人像摳圖網路模型，實現了快速、準確的全自動人像摳圖智慧型算法，並在二代身份證自助拍照系統、駕駛證自助拍照系統等廣泛套用。

發表的部分論文

 [1].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 Transactions on Industrial Electronics, online. (JCR Q1區，中科院1區，影響因子7.503)

[2].Qinghua Huang, Yonghao Huang, Yaozhong Luo, Feiniu Yuan, Xuelong Li, Segmentation of breast ultrasound image with semantic classification of superpixels, Medical Image Analysis, vol. 61, 2020, pp. 1-13. (JCR Q1區，中科院1區，影響因子8.880)

[3].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 Journal of Biomedical and Health Informatics, online. (JCR Q1區，中科院2區，影響因子4.217)

[4].Feiniu Yuan,Gang Li, Xue Xia, Lin Zhang, Jinting Shi, “Multi-layer Gabor Filtering for Visual Smoke Recognition,” Pattern Analysis and Applications, under review, online. (JCR Q2區，SCI)

[5].Feiniu Yuan, 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，中科院1區，影響因子6.790)

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

[7].袁非牛, 章琳, 史勁亭, 夏雪, 李鋼. 自編碼神經網路理論及套用綜述. 計算機學報, 42(1), 2019: 203-230. (EI：20191706819309)

[8].Yuming Fang, 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，中科院1區，影響因子5.898)

[9].Feiniu Yuan, Lin Zhang, Xue Xia, Boyang Wan, Qinghua Huang, Xuelong Li, “Deep Smoke Segmentation,” Neurocomputing, vol. 357, 2019, pp. 248–260. (SCI期刊，JCR Q1區，中科院2區，影響因子4.072)

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

[11].Feiniu Yuan, Jinting Shi, Xue Xia, Qinghua Huang, and Xuelong Li, “Co-occurrence Matching of Local Binary Patterns for Improving Visual Adaption and Its application to Smoke Recognition,” IET Computer Vision, Volume 13, Issue 2, March 2019, pp. 178–187. (JCR Q2區， CCF 推薦的C類期刊，SCI期刊論文，影響因子1.648)

[12].Feiniu Yuan, Lin Zhang, Boyang Wan, Xue Xia and Jinting Shi, Convolutional Neural Networks based on Multi-Scale Additive Merging Layers for Visual Smoke Recognition,  Machine Vision and Applications, vol. 30, no. 2, 2019, pp. 345–358. (CCF 推薦的C類期刊，JCR Q2區，SCI期刊論文，影響因子1.788)

[13].Feiniu Yuan, Tiantian Tang, Xue Xia, Jinting Shi, and Shuying Li, Dual-Encoded Features from Both Spatial and Curvelet Domains for Image Smoke Recognition,  KSII Transactions on Internet and Information Systems, vol. 13, no. 4, pp. 2078-2093, 2019. (SCI期刊，JCR Q3區)

[14].Feiniu Yuan, Xue Xia, Jinting Shi, “Holistic learning-based high-order feature descriptor for smoke recognition” International Journal of Wavelets, Multiresolution and Information Processing, vol. 17, no. 2, 2019. (SCI期刊，JCR Q3區)

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

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

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

[18].夏雪，袁非牛 (通訊作者)，章琳，楊龍箴，史勁亭，“從傳統到深度：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.

[19].楊龍箴，袁非牛 (通訊作者)，楊壽淵，雷幫軍，“基於連續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.

[20].袁非牛，李鋼，夏雪，章琳，周宇. 採用聚合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, vol. 40, no. 4, 2019: 827-833.

[21].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網路. 中國圖象圖形學報, 24(2), 2019: 269-281.

[22].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, Information Sciences, vol. 468, pp. 193-212, Nov. 2018. (JCR Q1區區，中科院1區，影響因子5.524)

[23].Feiniu Yuan, Xue Xia, Jinting Shi, “Mixed Co-occurrence of Local Binary Patterns and Hamming-distance-based Local Binary Patterns,” Information Sciences, vol. 460–461, pp. 202-222, Sep. 2018. (JCR Q1區，中科院1區，影響因子5.524)

[24].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.

[25].Zhijian Yin, Boyang Wan, Feiniu Yuan (通訊作者), Xue Xia, Jinting Shi, A deep normalization and convolutional neural network for image smoke detection,  IEEE Access, vol. 5，pp. 18429 – 18438, Aug. 2017. (JCR Q1區，影響因子4.098，SCI期刊論文)

[26].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, vol.5, pp. 6833-6841, Apr. 2017. (JCR Q1區，影響因子4.098，SCI期刊論文)

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

[28].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，影響因子4.098，SCI)

[29].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,” Information Sciences, vol. 372, pp. 225-240, Dec. 2016. (JCR Q1區，中科院1區，影響因子5.524，SCI).

[30].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 Transactions on Internet and Information Systems, vol. 10, no. 4, pp. 1807-1823, Apr. 2016. (SCI期刊，JCR Q3區)

[31].Lei Shu, Yuming Fang, Zhijun Fang, Yong Yang, Feiniu Yuan, Fengchang Fei. Image Interpolation Based on Saliency Information. International Journal of Signal Processing, Image Processing and Pattern Recognition, vol.8, no.10, pp. 97-106, Oct. 2015. (EI：20160601905087)

[32].Feiniu Yuan, Zhijun Fang, Shiqian Wu, Yong Yang, Yuming Fang. A Real-Time Video Smoke Detection Using Staircase Searching Based Dual Threshold AdaBoost and Dynamic Analysis. IET Image Processing, vol. 9, no. 10, pp. 849-856, Oct. 2015. (JCR Q1區，CCF 推薦的C類期刊，影響因子2.004)

[33].Feiniu Yuan. Rotation and Scale Invariant Local Binary Pattern Based on High Order Directional Derivatives for Texture Classification. Digital Signal Processing, vol. 26, no. 3, pp. 142-152, Mar. 2014. (JCR Q1區，影響因子2.792, SCI引用34次).

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

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

[36].Feiniu Yuan, Yanling Chi, Su Huang, and Jimin Liu. Modeling n-Furcated Liver vessels From a 3D Segmented Volume Using Hole Making and Subdivision Methods. IEEE Transactions on Biomedical Engineering, vol. 59, no. 2, pp. 552-561, Feb. 2012. (JCR Q1區，中科院2區，影響因子4.491，SCI引用10次)

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

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

[39].Feiniu Yuan. An integrated fire detection and suppression system 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，JCR Q2區，影響因子1.788，SCI收錄期刊論文)

[40].Feiniu Yuan. Real time multiple planes based volume clipping on the programmable graphics process unit. Optica Applicata, vol. 39, no. 2, pp. 331-345, Jun. 2009. (JCR Q3區，SCI收錄期刊論文)

[41].Feiniu Yuan. A fast accumulative motion orientation model based on integral image for video smoke detection. Pattern Recognition Letters, vol. 29, no. 7, pp. 925-932, Jul. 2008. (JCR Q1區，影響因子2.810)

近期主持的項目

[1].基於Gabor卷積網路的多隱層高斯過程煙霧特徵建模研究，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套用，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].高原古建築火災視頻煙霧探測技術研究，國家科技支撐計畫“以布達拉宮為代表的高原古建築火災安全技術研究”子專題(2006BAK06B07)，項目負責人，2006-2008。

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

[6].袁非牛，南昌市科技創新領軍人才“洪城特聘專家”，人像比對套用共享服務平台開發項目，項目負責人，2013-2014。