重庆大学信息物理社会可信服务计算教育部重点实验室

信息物理社会可信服务计算教育部重点实验室

KEY LABORATORY OF DEPENDABLE SERvICE COMPUTING IN cYBER PHYSICAL SOCIETY( CHONGQING UNIVERSITY) MINISTRY OF EDUCATION

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葛永新的个人主页

计算机视觉,模式识别,大数据智能

葛永新

副教授

基本信息


职称:副教授

E-mail::yongxinge@cqu.edu.cn
研究方向:计算机视觉,模式识别,大数据智能

教育工作经历



1999.9—2003.6,重庆大学数理学院(现为数学与统计学院),获理学学士学位,

2003.9—2006.6,重庆大学数理学院(现为数学与统计学院),获理学硕士学位,

2007.9—2011.6,重庆大学计算机学院,获工学博士学位,

2008.9—2009.9,加拿大阿尔伯塔大学(University of Alberta)联合培养,

2011.8-2014.8,重庆大学软件学院(现为大数据与软件学院),讲师

2014.9 至今,重庆大学大数据与软件学院,副教授

主要科研项目



[1] 重庆市自然科学基金(基础研究与前沿探索项目):面向视频行为识别的多模态深度度量学习研究(cstc2018jcyjAX0410)负责人 2018.7—2021.6

[2] 国家自然科学基金青年基金:无控制条件下上下文感知和遮挡鲁棒的人脸对齐研究 (61402062) 负责人 2015.1-2017.12

[3] 重庆市前沿与应用基础(一般):无控制条件下利用上下文关系的人脸对齐研究 (cstc2015jcyjA40037)  负责人 2015.7-2018.6

[4] 博士点新教师基金:基于多特征和多标记流形学习的人体年龄估计方法研究(20130191120033)负责人 2014.1-2016.12

[5] 中央高校基金:视频监控系统中基于人体特征的年龄估计方法研究(CDJZR12 09 00 02) 负责人

[6] 中央高校基金:主动表观模型中若干关键问题的研究 (CDJXS10 18 11 33) 已结题 负责人

近年来部分科研论文(“*”为通讯作者)



期刊论文

[1]Yongxin Ge*, Xiaolei Qin, Dan Yang, Martin Jagersand. Deep Snippet Selective Network for Weakly Supervised Temporal Action Localization, Pattern Recognition. 2021.

[2]Xiaolei Qin,Yongxin Ge*, Hui Yu, Feiyu Chen, Dan Yang. Spatial Enhancement and Temporal Constraint for Weakly Supervised Action Localization. IEEE Signal Processing Letters, 2020, 27:1520-1524.

[3]Yongxin Ge*, Junyin Zhang, Chen Peng, Min Chen, Jiahong Xie, and Dan Yang. Deep Shape Constrained Network for Robust Face Alignment. Pattern Recognition Letters, 2020, 138:587-593.

[4]Xiaolei Qin,Yongxin Ge*, Jinyuan Feng, Dan Yang, Feiyu Chen, Sheng Huang, and Ling Xu. DTMMN: Deep Transfer Multi-Metric Network for RGB-D Action Recognition. Neurocomputing, 2020, 406:127-134.

[5]Chenqiu Zhao, Aneeshan Sain, Ying Qu,Yongxin Ge*, Haibo Hu*. Background Subtraction based on Integration of Alternative Cues in Freely Moving Camera. IEEE Transactions on Circuits and Systems for Video Technology (CSVT), 2019, 29(7): 1933-1945.

[6]Yongxin Ge*, Cheng Peng, Mingjian Hong, Sheng Huang, and Dan Yang. Joint local regressors learning for face alignment. Neurocomputing, 2016, 208:262-268.

[7]Venice Erin Liong, Jiwen Lu, andYongxin Ge*. Regularized Local Metric Learning for Person Re-Identification. Pattern Recognition Letters, 2015, 68: 288-296.

[8]Yongxin Ge*, Dan Yang, Jiwen Lu, Bo Li and Xiaohong Zhang. Active Appearance Models Using Statistical Characteristics of Gabor Based Texture Representation. Journal of Visual Communication and Image Representation, 2013, 24(5): 627-634.

会议论文

[9]Ziqiang Li,Yongxin Ge*, Jinyuan Feng, Xiaolei Qin, Jiaruo Yu, Hui Yu. Deep Selective Feature Learning for Action Recognition, 2020 IEEE International Conference on Multimedia and Expo (ICME). (Oral)

[10]Xiaolei Qin,Yongxin Ge, Liuwei Zhan, Guangrui Li, Sheng Huang, Hongxing Wang and Feiyu Chen. Joint Deep Learning for RGB-D Action Recognition. VCIP 2018 - IEEE International Conference on Visual Communications and Image Processing, Taichung, Taiwan, July 2, 2018. (Oral)

[11]Yongxin Ge*, Xinqian Gu, Min Chen, Hongxin Wang, and Dan Yang. Deep multi-metric learning for person re-identification. IEEE International Conference on Multimedia and Expo (ICME), 2018. (Oral)

[12]Cheng Peng,Yongxin Ge*, Mingjian Hong, Sheng Huang, and Dan Yang. Robust face alignment with cascaded coarse-to-fine auto-encoder. IEEE International Conference on Image Processing (ICIP), Beijing, China, Sep. 18-20, 2017. (Oral)

[13]Yongxin Ge*, Min Chen, Martin Jagersand and Dan Yang. Active appearance model search using partial least squares regression. The IEEE International Conference on Visual Communications and Image Processing (VCIP), 13 - 16 December 2015, Singapore. (Oral)

[14]Venice Erin Liong,Yongxin Ge*, and Jiwen Lu. Discriminative Regularized Metric Learning for Person Re-Identification. The 8thIAPR International Conference on Biometrics (ICB), May 19-22, 2015 Phuket, Thailand, 52-57.

[15]Venice Erin Liong, Jiwen Lu, andYongxin Ge*. Regularized Bayesian metric learning for person re-identification. ECCV 2014 Workshops, September 6 - 12, 2014, Zurich, Switzerland, 209-224.

[16]Yongxin Ge*, Jiwen Lu, Xin Feng and Dan Yang. Body-Based Human Age Estimation at a Distance. IEEE International Conference on Multimedia and Expo (ICME), San Jose, California, USA, July 15-19, 2013, 1-4. (short paper)

[17]Yongxin Ge*, Jiwen Lu, Fan Wu and Dan Yang. Age Estimation from Human Body Images. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) Vancouver, Canada, May 26 - 31, 2013, 2337-2341.

授权发明专利



[1] 重庆大学,葛永新,潘志辉, 徐玲, 洪明坚,杨梦宁,张小洪,杨丹,王洪星,黄晟,基于角阈值操作的代价敏感神经网络的警告分类方法,ZL201610392772.3,2019,中国。

[2] 重庆大学,葛永新,杨梦宁,马鹏,张小洪,洪明坚,徐玲,胡海波,一种人脸识别方法,ZL201210457794.5,2016,中国。

[3] 重庆大学,葛永新,杨丹,杨梦宁,张小洪,洪明坚,徐玲,胡海波,基于角点对CS距离匹配的图像配准方法,ZL201210171293.0,2014,中国。