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張凱兵

作者: 時間:2016-10-25 點擊數:

所屬學科專業:控制科學與工程

導師簡介:

張凱兵,1975年生同创娱乐网站,男,模式識別與智能系統專業工學博士,信息與通信工程學科博士后,悉尼科技大學訪問學者。擔任IEEE Signal Processing Letters同创娱乐网站、Information Sciences、IEEE Transactions on Cybernetics Pattern Recognition同创娱乐网站同创娱乐网站、IEEE Trans. on Image Processing等多個國際期刊的審稿人同创娱乐网站。承擔國家自然科學基金同创娱乐网站、中國博士后科學基金、省科技廳、省教育廳科學技術項目以及教育廳優秀中青年創新團隊項目的研究。近5年來,在IEEE Trans. on Image Processing同创娱乐网站、IEEE Trans. on Neural Networks and Learning Systems同创娱乐网站、IEEE Access, Neurocomputing、Signal Processing(Elsevier)同创娱乐网站、CVPRICIP等國際期刊和會議發表論文30余篇同创娱乐网站,獲陜西省科學技術獎一等獎同创娱乐网站,教育部高等學??茖W研究優秀成果獎二等獎,陜西省高等學??茖W技術一等獎。獲評2018年度ACM西安“新星獎”(排名第一)和ACM中國“新星獎”提名,2014年度西安電子科技大學優秀博士論文。曾指導學生獲全國大學生軟件設計大賽一等獎同创娱乐网站,第十三屆中國研究生電子設計競賽西北賽區三等獎。

主要研究方向:影像超分辨重建及質量評價、計算機視覺檢測與分析、跨模態人臉合成與識別、智能交通視頻分析與理解、交通大數據分析及應用同创娱乐网站、深度學習等。

近年來主持的主要科研項目

1.基于多視角特征集成學習的圖像超分辨重建方法(陜西省自然科學基礎研究計劃重點項目,2018.1—2020.12)

2.資源受限環境下實時超分辨重建方法研究(國家自然科學基金面上項目, 2015.1—2018.12)

3.基于多線性映射關系學習的實時高質量圖像超分辨重建(博士后基金特別資助, 2014.1—2016.6)

4.基于稀疏一致性字典學習超分辨重建方法研究(中國博士后基金一等資助,2014.1—2015.12)

5.基于多視角特征學習的雙低油菜缺素智能診斷方法(省自然科學基金, 2016.1—2018.12)

6.多尺度相似性冗余結構學習超分辨重建方法研究(省自然科學基金, 2012.1—2014.12)

7.基于非局部正則化和字典學習超分辨重建方法(省教育廳中青年項目, 2012.1—2013.12)

近年來主要科研成果:

1.張凱兵,王珍,等.基于級聯回歸基學習的單幀圖像超分辨重建方法, 2018. 6,中國,申請號:201810689607.3.

2.張凱兵同创娱乐网站同创娱乐网站,閆亞娣同创娱乐网站,等.基于顏色相似性和位置聚集性的顯著性織物疵點檢測方法,2018. 6同创娱乐网站,中國同创娱乐网站,申請號:201810687458.7

3.張凱兵,王珍,等.一種基于AdaBoost實例回歸的超分辨率重建方法, 2018. 4同创娱乐网站,中國,申請號:201810320295.9.

4.張凱兵,王珍,等.一種基于多級字典學習的殘差實例回歸超分辨重建方法, 2018. 4,中國同创娱乐网站,申請號:201810320484.6.

5.高新波同创娱乐网站,張凱兵,等,基于對偶約束的聯合學習超分辨方法,2012. 10,中國,授權號:ZL 201010298564.x.

6.高新波,沐廣武,張凱兵,李潔同创娱乐网站,等.基于高分辨率字典的稀疏表征圖像超分辨重建方法, 2011. 8,中國同创娱乐网站,申請號:201110058174.x.

7.復雜紡織品缺陷圖像分析及產品開發,2018年陜西省科學技術,一等獎(排序8)

8.異構可視媒體的內容分析與可信服務研究,2015年度陜西省科學技術,一等獎(排序9)

9.臨地空間信息柵格網理論與關鍵技術, 2013年度高等學?同创娱乐网站?茖W研究優秀成果獎(科學技術),二等獎(排序7).

10.視頻監控序列中基于畫像的人臉檢索同创娱乐网站,2011年度陜西省高等學??茖W技術獎,二等獎(排序7).

11.2014年西安電子科技大學優秀博士論文.

12.2018年度ACM西安“新星獎”獎(排名第一).

發表論文:

期刊論文:

[1]Kaibing Zhang (張凱兵), Zhen Wang, Jie Li, Xinbo Gao, and ZenggangXiong, Learning recurrent residual regressors for single imagesuper-resolution,Signal Processing,2018,to be published.(SCI檢索,IF=3.470/2017)

[2]Kaibing Zhang (張凱兵), Yadi Yan, Pengfei Li, Junfeng Jing, Xiuping Liu, Zhen Wang.Fabric defect detection using salience metric for color dissimilarity and positional aggregation,2018,IEEE Access,DOI: 10.1109/ACCESS.2018.2868059.(SCI檢索,IF=3.577/2017)

[3]Kaibing Zhang (張凱兵), Dacheng Tao,Xinbo Gao,Xuelong Li*, and Jie Li , Coarse-to-fine learning for single image super-resolution,IEEE Transactions Neural Networks and Learning Systems,2017, 28(5):1109-1122. (SCI:000401981800008同创娱乐网站,IF=7.982/2017)

[4]Kaibing Zhang (張凱兵), Jie Li, ZenggangXiong, Xiuping Liu, and Xinbo Gao*, Optimized multiple linear mappings for single image super-resolution,Optics Communications,2017,404,169-176. (SCI: 000412617900023, IF=1.860/2017)

[5]Kaibing Zhang (張凱兵), Jie Li, Haijun Wang, Xiuping Liu, and Xinbo Gao*, Learning local dictionaries and similarity structures for single image super-resolution,Signal Processing, 2018, 142: 231–243 (SCI: 000412611900025, IF=3.470/2017)

[6]Single image super-resolution using regularization of non-local steering kernel regression,Signal Processing, 2016,123: 53-63. (SCI, IF=3.470/2017)

[7]Kaibing Zhang (張凱兵), Dacheng Tao*, Xinbo Gao, Xuelong Li, and ZenggangXiong, Learning multiple linear mappings for efficient single image super-resolution,IEEE Transactions on Image Processing,2015, 24(3) 846–861. (SCI:000348458000002,IF=5.071/2017)

[8]Cheng Deng, Jie Xu,Kaibing Zhang(張凱兵),Dacheng Tao, XinboGao,andXuelong Li, Similarity constraints based structured output regression machine: an approach to image super-resolution,IEEE Transactions Neural Networks and Learning Systems,2016,27(2):2472-2485.(SCI:000388919600002, IF=7.982/2017)

[9]Haijun Wang, Xinbo Gao,Kaibing Zhang (張凱兵),Jie Li, Single image super-resolution using Gaussian process regression with dictionary-based sampling and Student-t likelihood,IEEE Transactions on Image Processing,26(7): 3556-3568, 2017. (SCI:000402136500020,IF=5.071/2017)

[10]Haijun Wang, Xinbo Gao,Kaibing Zhang (張凱兵),Jie Li, Image super-resolution using non-local Gaussian process regression,Neurocomputing, 2016,194: 95-106. (SCI: 000376548100010, IF= 3.317/2016)

[11]Haijun Wang, Xinbo Gao,Kaibing Zhang (張凱兵),Jie Li, Single image super-resolution using active-sampling Gaussian process regression,IEEE Transactions on Image Processing,25(2): 935-948, 2015. (SCI:000368938400005,IF=5.071/2017)

[12]Haijun Wang, Xinbo Gao,Kaibing Zhang (張凱兵),Jie Li, Fast single image super-resolution using sparse Gaussian process regression,Signal Processing, 2017, 134: 52-62. (SCI:000393243800005,IF=3.470/2017)

[13]Jifei Yu, Xinbo Gao, , Xuelong Li*, Dacheng Tao, andKaibing Zhang (張凱兵),A unified learning framework for single image super-resolution.IEEE Transactions Neural Networks and Learning Systems,2014, 25(3):780–792. (SCI: 000333098700011, IF=7.982/2017)

[14]Kaibing Zhang (張凱兵), Xinbo Gao, Dacheng Tao, and Xuelong Li*,Single image super-resolution with multi-scale similarity learning,IEEETransactionsonNeural Networks and Learning Systems,2013, 24(10): 1648-1659.(SCI: 000325981400012, EI: 20134216849774, IF=7.982/2017)

[15]Kaibing Zhang (張凱兵),Xinbo Gao, Xuelong Li*, and Dacheng Tao, Partially supervised neighbor embedding for example–based image super–resolution,IEEE Journal of Selected Topics in Signal Processing,2011, 5:(2): 230–239. (SCI: 000288458100003, EI: 20111313857082,IF=4.361/2017)

[16]Kaibing Zhang (張凱兵), Xinbo Gao, Dacheng Tao, and Xuelong Li*,Single image super–resolution with non–local means and steering kernel regression.IEEE Transactions on Image Processing,2012, 21(11):4544–4556.(SCI:000310140700005,EI:20124415619794,IF=5.071/2017)

[17]Kaibing Zhang (張凱兵),Guangwu Mu, Yuan Yuan*, Xinbo Gao, and Dacheng Tao,Video superresolution with 3D adaptive normalized convolution,Neurocomputing,2012, 94:140–151. (SCI:000307087000014, EI: 20122815227441, IF= 3.241/2017)

[18]Xinbo Gao,Kaibing Zhang (張凱兵),Dacheng Tao, and Xuelong Li*,Joint learning for single image super–resolution via a coupled constraint,IEEE Transactions on Image Processing,第21卷同创娱乐网站,第2期同创娱乐网站,469–480, 2012. (SCI: 000300559700004, EI: 20120514729691, IF=5.071/2017)

[19]Xinbo Gao,Kaibing Zhang (張凱兵),Dacheng Tao, and Xuelong Li*,Single image super–resolution with sparse neighbor embedding,IEEE Transactions on Image Processing,2012, 21(7):3194–3205. (SCI: 000305577600007, EI: 20122615154413,IF=5.071/2017)

[20]Xinbo Gao, Qian Wang, Xuelong Li*, Dacheng Tao, andKaibing Zhang (張凱兵),Zernike–moment–based image super resolution.IEEE Transactions on Image Processing,2011,20(10): 2738–2747. (SCI: 000295008100004, EI: 20113814351126, IF=5.071/2017)

[21]張凱兵同创娱乐网站,李春生,章愛群.基于HSV空間顏色直方圖的油菜葉片缺素診斷[J].農業工程學報, 2016, 32(19):179-187.(EI20163902855601)

[22]李云紅,王珍,張凱兵,等.基于學習的圖像超分辨重建方法綜述.計算機工程與應用, 2018,54(15): 13-21.(CSCD-E)

[23]閆亞娣,張凱兵,李鵬飛,王珍,朱丹妮.基于可控高斯核的色織物疵點檢測方法.計算機工程與應用, 2018,錄用待發表.(CSCD-E)

[24]張凱兵,王珍,優化的Adaboost回歸超分辨重建.計算機工程與應用, 2018,錄用待發表.(CSCD-E)

會議論文:

[1]Kaibing Zhang (張凱兵)*,Xinbo Gao, Dacheng Tao, and Xuelong Li,Multi–scale dictionary for single image super–resolution.Proc. Computer Vision and Pattern Recognition (CVPR),Jun.16–21, Rhode Island, USA, pp1114–1121.2012.(EI20124015484215, Acceptance rate= 24%)

[2]Kaibing Zhang (張凱兵)*,Xinbo Gao, Dacheng Tao, and Xuelong Li, Image super-resolution via non-local steering kernel regression regularization.Proc. IEEE International Conference on Image Processing(ICIP), Sep.15–18, pp. 943 – 946, Melbourne, Australia, 2013. (EI:20141117461493)

[3]Guangwu Mu *, Xinbo Gao,Kaibing Zhang (張凱兵),Xuelong Li, and Dacheng Tao, Single image super resolution with high resolution dictionary.Proc. IEEE International Conference on Image Processing(ICIP),Sep.11–14, pp 1141–1144, Brussels, Belguim, 2011. (EI: 20120514729838)

[4]Kaibing Zhang (張凱兵)*, Jun Lu, Handwritten character recognition via sparse representation and multiple classifiers combination.Proc. IEEE International Conference on Information Theory and Information Security (ICITIS), pp. 1139-1142, 2010. (EI20110813683711)

[5]Chunman Yan,Kaibing Zhang (張凱兵), Yunping Qi, Image denoising using modifed nonsubsampled Contourlet transform combined with Gaussian scale mixtures model,Proc. International Conference on Intelligence Science and Big Data Engineering(IScIDE), 2015. (EI:20155301740838)

[6]Kaibing Zhang (張凱兵)*,Hongxing Xia, Haijun Wang, Chunman Yan, Xinbo Gao, Single image super-resolution with one-pass algorithm and local neighbor regression,Proc. International Conference on Communication Technology,2016,930-935.(EI:20161502215082)

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