南京信息工程大学自动化学院导师教师师资介绍简介-闫胜业

删除或更新信息，请邮件至freekaoyan#163.com(#换成@)

本站小编 Free考研考试/2021-03-28

其他栏目

个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客

其他栏目

基本信息
教师姓名：闫胜业
职称：教授
所在单位：自动化学院

个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

科学研究
当前位置 : 中文主页 >> 科学研究

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客

其他栏目

基本信息
教师姓名：闫胜业
职称：教授
所在单位：自动化学院

个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

研究领域
当前位置 : 中文主页 >> 科学研究 >> 研究领域

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客

其他栏目

基本信息
教师姓名：闫胜业
职称：教授
所在单位：自动化学院
个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

论文成果
当前位置 : 中文主页 >> 科学研究 >> 论文成果

共0条0/0

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客

其他栏目

基本信息
教师姓名：闫胜业
职称：教授
所在单位：自动化学院
个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

专利
当前位置 : 中文主页 >> 科学研究 >> 专利

共0条0/0

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客

其他栏目

基本信息
教师姓名：闫胜业
职称：教授
所在单位：自动化学院
个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

著作成果
当前位置 : 中文主页 >> 科学研究 >> 著作成果

共0条0/0

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客

其他栏目

基本信息
教师姓名：闫胜业
职称：教授
所在单位：自动化学院
个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

科研项目
当前位置 : 中文主页 >> 科学研究 >> 科研项目

共0条0/0

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客

其他栏目

基本信息
教师姓名：闫胜业
职称：教授
所在单位：自动化学院

个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

教学研究
当前位置 : 中文主页 >> 教学研究

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客

其他栏目

基本信息
教师姓名：闫胜业
职称：教授
所在单位：自动化学院
个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

教学资源
当前位置 : 中文主页 >> 教学研究 >> 教学资源

共0条0/0

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客

其他栏目

基本信息
教师姓名：闫胜业

职称：教授
所在单位：自动化学院
个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

授课信息
当前位置 : 中文主页 >> 教学研究 >> 授课信息

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客

其他栏目

基本信息
教师姓名：闫胜业
职称：教授
所在单位：自动化学院
个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

教学成果
当前位置 : 中文主页 >> 教学研究 >> 教学成果

共0条0/0

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客

其他栏目

基本信息
教师姓名：闫胜业
职称：教授
所在单位：自动化学院
个人简介
学习与工作经历：教育背景： v 1996.9~2000.7 南昌航空大学
计算机应用技术专业获工学学士学位
v 2000.9~2003.7 北京工业大学
计算机应用技术专业获工学硕士学位
v 2003.9~2009.7 中国科学院计算技术研究所
计算机应用技术专业获工学博士学位
工作经历： v 2009.7~2011.1 松下新加坡实验室(Panasonic Singapore Lab) 研发工程师
v 2011.6~2012.11 新加坡南洋理工大学(Nanyang Technological University) 博士后（Postdoc Research Fellow）
v 2012.11~至今南京信息工程大学教师
研究领域：物体检测、物体识别、大数据分析、机器学习、特征点定位、轮廓提取、物体跟踪科研成果：1.Shengye Yan, and Qingshan Liu. InferringOccluded Features for Fast Object Detection SignalProcessing, 2014. (In Press).
2.Shengye Yan, Xinxing Xu, Dong Xu,Stephen Lin, and Xuelong Li. Image Classification with Densely Sampled Image Windowsand Generalized Adaptive Multiple Kernel Learning. IEEE Transactions on Cybernetics, 2014. doi: 10.1109/TCYB.2014.**.(Online)
3.Shengye Yan, Xinxing Xu, Dong Xu, and QingshanLiu. Learning the Object Location, View and Scale for Image Categorization withAdapted Classifiers. Information Sciences,281: 661–673, 2014.
4.Shengye Yan, Xinxing Xu, and QingshanLiu. Robust Text Detection inNatural Scenes Using Text Geometry and Visual Appearance. International Journal of Automation and Computing, 11(5), 480-488,2014.
5.Pengpeng Ji, Shengye Yan, Lin Li, and Qingshan Liu. Region-basednon-uniform spatial sampling for image classification. Journal of Electronics & InformationTechnology, 10(37): 2405-2411, 2014. (In Chinese)
6.Shengye Yan. Fast Training of BoostingCascade Based on Information Sharing. Journalof Electronics & Information Technology, 10(36): 2405-2411, 2014. (InChinese)
7.Shengye Yan, Jinjin, and Xuguang Liu. BuildingSeries of Cascaded Classifiers with Different Speed-accuracy Tradeoffs forObject Detection. Journal ofComputational Information Systems, 10(11): 4683–4690, 2014.
8.Shengye Yan, Jinjin, and Xuguang Liu. LearningFast Robust Face Detector with Dual Face Samples. Journal of Computational Information Systems, 10(4): 1597–1604,2014.
9.Pengpeng Ji, Shengye Yan, and Qingshan Liu. Region-Based Spatial Sampling forImage Classification. International Conf. on Image and Graphics, 2013. (ICIG2013)
10.Shengye Yan, Xinxing Xu, Dong Xu, StephenLin. Beyond Spatial Pyramids: A New Feature Extraction Framework for ImageClassification. European Conference on Computer Vision, 2012. (ECCV 2012).
11.Shengye Yan, Shiguang Shan, Xilin Chen, andWen Gao. Fea-Accu Cascade for Face Detection. InternationalConference on Image Processing, 2009. (ICIP 2009).
12.Shengye Yan, Shiguang Shan, and XilinChen. A Simple and Efficient Method to Remove Overlaps for Face Detection. Computer Knowledge and Technology，5(19): 5254-5262, 2009. (In Chinese)
13.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Locally Assembled Binary (LAB) Feature for Fast and Accurate FaceDetection. IEEE Computer Society Conference on Computer Vision and PatternRecognition 2008. (CVPR 2008).
14.Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao, and Jie Chen. Matrix-Structural Learning (MSL) of Cascaded Classifierfrom Enormous Training Set. IEEE Computer Society Conference on Computer Visionand Pattern Recognition 2007. (CVPR 2007).
15.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. Enhancing Human Face Detection by ResamplingExamples through Manifolds. IEEE Transactionson Systems, Man, and Cybernetics—Part A: Systems and Humans, 37(6), 2007.
16.Jie Chen, Shiguang Shan, Shengye Yan, Xilin Chen, and Wen Gao. Modificationof the AdaBoost-based Detector for Partially Occluded Faces. InternationalConference on Pattern Recognition, 2006. (ICPR 2006)
17.Zhiheng Niu, Shiguang Shan, Shengye Yan, Xilin Chen, Wen Gao. 2D Cascaded AdaBoost for Eye Localization. InternationalConference on Pattern Recognition, 2006. (ICPR 2006).
18.Ruiping Wang, Jie Chen, Shengye Yan, Shiguang Shan, Xilin Chen,Wen Gao. Face Detection Based on the Manifold. Audio-and Video-based Biometric Person Authentication, 2005. (AVBPA 2005).
19.Jie Chen, Ruiping Wang, Shengye Yan, Shiguang Shan, Xilin Chen,and Wen Gao. How to train a classifier based on the huge face database? Analysisand Modelling of Faces and Gestures, 2005. (AMFG 2005)
20.Jie Chen, Shiguang Shan, PengYang, Shengye Yan, Xilin Chen, and WenGao. Novel Face Detection Method Based on Gabor Feature.The 5th Chinese Conference on Biometric Recognition, 2004. (CCBR 2004)
21.Heng Liu, Shengye Yan, Xilin Chen, and Wen Gao, Rotated Face Detection inColor Images Using Radial Template (RT), International Conference onAcoustics, Speech and Signal Processing, 2003. (ICASSP 2003)

专利：
1.闫胜业,山世光,陈熙霖,高文。一种基于预分类器的物体检测方法。专利号: 0.

获奖信息
当前位置 : 中文主页 >> 获奖信息

共0条0/0

手机版
同专业硕导
欢迎您访问我们的网站，您是第位访客