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个人简介

1)2002年-至今,就职于西安交通大学,主要从事图形图像处理与视频分析算法、软件开发新技术、软件项目管理方法与技术的研究与教学工作。 2)1996年—2002年,就职于日本PSB株式会社,担任情报事业本部金融系统开发部部长,从事大型金融、保险软件研发与项目管理。 3)1992年—1996年,就职于中国煤田地质总局航测遥感局图像处理研究所,主要从事地理信息与遥感图像处理的方法研究与系统开发工作。 4)1989年—1991年,就职于中国科学院遥感应用研究所,参加了我国“七五”攻关项目“高空机载遥感系统”的研究与开发工作。

研究领域

1. 场景图像中文字检测与提取 2. 手势识别 3. 动作识别 4. 文档图像分析与理解 5. 目标表面缺陷检测与三维重建

近期论文

查看导师新发文章 (温馨提示:请注意重名现象,建议点开原文通过作者单位确认)

[1] Qianwen Lv, Yonghong Song, Few-shot learning Combine Attention Mechanism-Based Defect Detection in Bar Surface, ISIJ, Vol.59, No.6 [2] Qianwen Lv, Yonghui He, Yonghong Song, Improved Sacked Denoising Autoencoders–Based Defect Detection in Bar Surface, CAC2018,in Xi’an, China, 30,November,2018,pp.894-899 [3] Xu Tang, Yonghong Song, Yuanlin Zhang, Feature Fusion for Weakly Supervised Object Localization, CAC2018,in Xi’an, China, 30,November,2018,pp.3268-3273 [4] Xiang He, Yonghong Song, Yuanlin Zhang, A coarse-to-fine scene text detection method based on Skeleton-cut detector and Binary-Tree-Search based rectification, Pattern Recognition Letters,Volumes 112(2018), Pages27-33 [5] Yaru Qiu , Yonghong Song, Multi-view Gait Recognition Method Based on RBF Network, 2018 Chinese Conference on Biometric Recognition, in Urumqi, China, 11-12 August,2018,Springer Nature Switzerlang AG2018, J.Zhou et al.(Eds):CCBR2018,LNCS 10996, pp.96-108,2018. [6] Jia Li, Yonghong Song, Yuanlin Zhang, Face Aging with Improved Invertible Conditional GANs, 2018 International Conference on Pattern Recognition (ICPR2018), in Beijing, China, 20-24 August, 2018 [7] Peng Du, Yonghong Song, Yuanlin Zhang,Which Part is Better: Multi-Part Competition Network for Person Re-identification, 2018 International Conference on Pattern Recognition (ICPR2018), in Beijing, China, 20-24 August, 2018 [8] Xiaoyu Li, Yonghong Song, Yuanlin Zhang, A Bidirectional Information Aggregation Architecture for Scene Text Detection, 2018 13th IAPR International Workshop on Document Analysis Systems(DAS2018), in Vienna, Austria , 24-27 April,2018 [9] Chen Wu, Yonghong Song, and Yuanlin Zhang,Multi-View Gait Recognition Using 2D-EGEI and NMF, The IEEE International Conference on Identity, Security and Behavior Analysis (ISBA 2018) , in Singapore, January 10-12,2018 [13] Tongwen Xu, Yonghong Song, and Yuanlin Zhang,Multiple Metric Learning in Kernel Space for Person Re-identification,The 2017 Chinese Conference on Computer Vision, in Tianjin,China,on September 12-14,2017,CCCV 2017: Computer Vision pp 292-302 [14] Jingjia Chen, Yonghong Song and Yuanlin Zhang,Information Gain Product Quantization for Image Retrieval,The 9th International Conference on Image and Graphics (ICIG),in Shanghai, China, on September 13 - 15, 2017. [15] Shenghua Wei, Yonghong Song, Yuanlin Zhang, HUMAN SKELETON TREE RECURRENT NEURAL NETWORK WITH JOINT RELATIVE MOTION FEATURE FOR SKELETON BASED ACTION RECOGNITION, 2017 IEEE International Conference on Image Processing ( ICIP 2017 ), in Beijing, China from 17-20 September 2017. [16] Xiang He, Yonghong Song, Yuanlin Zhang, SCENE TEXT DETECTION BASED ON SKELETON-CUT DETECTOR, 2017 IEEE International Conference on Image Processing ( ICIP 2017 ), in Beijing, China from 17-20 September 2017. [17] Zhi Zhang, Shenghua Wei, Yonghong Song*, Yuanlin Zhang, Gesture Recognition Using Enhanced Depth Motion Map and Static Pose Map ,12th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2017) , May 30 –June 3, 2017 in Washington, DC [18] Qi Chen, Yonghong Song, Yuanlin Zhang, Scene Text Extraction with Local Symmetry Transform, 15th IAPR International Conference on Machine Vision Applications (MVA) Nagoya University, Nagoya, Japan, May 8-12, 2017. [19] Xiaobing Wang, Yonghong Song, YuanlinZhang, Jingmin Xin, A hierarchical recursive method for text detection in natural scene images,Journal: Multimed Tools Appl (2017) 76:26201–26223 DOI 10.1007/s11042-016-4099-2,Volume 76, Issue 24, December 2017,ISSN: 1380-7501 [20] Yufei Shang, Yonghong Song and Yuanlin Zhang, Enhanced Active Color Image For Gait Recognition,2016 Chinese Conference on Biometric Recognition, in Chengdu, China, October 14-16, 2016 ,Springer International Publishing AG2016,ISSN:0302-9743,CCBR 2016,LNCS9967,pp.462-470,2016

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