西安电子科技大学人工智能学院导师教师师资介绍简介-谢雪梅

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基本信息

谢雪梅　教授博导
博士学科：计算机科学与技术080902)
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硕士学科：计算机科学与技术
工作单位：人工智能学院

联系方式
通信地址：西安电子科技大学134信箱
电子邮箱：xmxie@mail.xidian.edu.cn
办公电话：
办公地点：北校区主楼II-134
ORCID: https://orcid.org/0000-0001-7857-0845

个人简介
研究方向：
行为识别及目标检测 (Human Action Recognition &Object Detection)
场景理解与视频分析 (Scene understanding & Video analysis)
深度学习特征表示 (Deep learning & representation)
主持项目：
自然基金重点项目——面向弱小目标的机器学习与智能认知方法(**)
自然基金面上项目——面向大数据的预期形状导向压缩感知成像的重建方法研究
陕西省基金项目——智能视频监测及人员危害行为预警技术

工作经历及教育背景：
2007 至今西安电子科技大学教授博导
2005-2007 西安电子科技大学副教授
2004.3-2004.7 香港大学助理研究员(R.A.)
1998-2004 香港大学博士
1991-1994 西安电子科技大学硕士

主要研究方向
ActionRecognition
Multimodal action recognition
Knowledge embedded two-person action recognition

Action recognition includes predicting not only abnormal events like stealing, murdering and other criminals, but also the trends. Thus even we can see though the camera what people are thinking.
项目：智能视频监测及人员危害行为预警技术
Human PoseEstimation

Human pose estimation solves the problem of localizing human body parts in images. It can be applied to many computer vision tasks such as action recognition, human tracking, and it is the underlying key technique for many commercial applications, such as Motion Sensing Gaming, Augmented or Mixed Reality et cetera.
Human-object Interaction
Network
Application

Human-Object Interactions (HOI) detection aims to localize a person, an object, as well as identify the interaction between the person and the object.
项目：面向智联网机器人的人物交互关系研究
Scene Understanding & Object Detection

Image/video Reconstruction

Research Activity
Research team

科学研究
本人承担的科研项目（包含已结题和在研）
主持：
一项国家自然基金重点项目、
四项国家自然科学基金、
一项陕西省重点项目、
两项教育部博士点基金、
一项教育部“新世纪优秀人才计划”、
*科研项目*、
一项中央高校基金科研费资助。

学术论文
2020：
[1] Jianan Li, XuemeiXie, Qingzhe Pan, et al. SGM-Net: Skeleton-guided multimodal network for action recognition [J]. Pattern Recognition, 2020.
[2] Jianan Li, XuemeiXie,YuhanCao, et al. Knowledge Embedded GCN for Skeleton-based Two-person Interaction Recognition [J]. Neurocomputing, 2020.
[3] Zhenyu Wang, Fu Li, Guangming Shi, Xuemei Xie al. Network pruning using sparse learning and genetic algorithm [J]. Neurocomputing, 2020.
[4] Wan Liu, XuemeiXie, Zhifu Zhao, et al. Perceptual spatial-temporal video compressive sensing network[C]. international conference graphics and image processing, 2020.
[5] Zhifu Zhao, XuemeiXie, Wan Liu, et al.A Hybrid-3D Convolutional Network for Video Compressive Sensing[J]. IEEE Access, 2020.
2019：
[1] Zhifu Zhao, XuemeiXie, Chenye Wang, et al. Visualizing and understanding of learned compressive sensing with residual network [J]. Neurocomputing, 2019.
[2] Kai Jin, XuemeiXie, Fangyu Wang, et al. Human Identification Recognition in Surveillance Videos[C]. international conference on multimedia and expo, 2019.
[3] Ferede S,XuemeiXie, Xing Jin, et al. Channel Feature Enhanced Detector for Small Ball Detection[C]. chinese conference on pattern recognition, 2019.
[4] Zhifu Zhao, XuemeiXie, Chenye Wang, et al. ROI-CSNet: Compressive sensing network for ROI-aware image recovery [J]. Signal Processing-image Communication, 2019.
[5]Jianqiang Song,Guangming Shi,Xuemei Xie, et al. Zero-Shot Learning Using Stacked Autoencoder with Manifold Regularizations, International Conference on Image Processing (ICIP), 2019.
[6] Jianqiang Song, XuemeiXie,Guangming Shi, et al.Multi-layer discriminative dictionary learning with locality constraint for image classification[J].Pattern Recognition, 2019.
[7] Jianxiu Yang, XuemeiXie, WenzheYang, et al. Effective Contexts for UAV Vehicle Detection[J]. IEEE Access, 2019.
[8] Guangming Shi, Wenfei Wan, Jingjian Wu,XuemeiXie, et al. SISRSet: Single image super-resolution subjective evaluation test and objective quality assessment[J].Neurocomputing, 2019.
[9]Weiping Ji,Jinjian Wu, Man Zhang, Guangming Shi, Xuemei Xie.Blind Image Quality Assessment with Joint Entropy Degradation,IEEE Access, 2019.
2018：
[1]Jiang Du, Xuemei Xie, Chenye Wang, Guangming Shi, Perceptual Compressive Sensing, The First Chinese Conference on Pattern Recognition and Computer Vision (PRCV) 2018.
[2]Xuemei Xie, Liao Quan and Lihua Ma, Gated Feature Pyramid Network for Object Detection, The First Chinese Conference on Pattern Recognition and Computer Vision (PRCV) 2018.
[3]Xuemei Xie, Wenzhe Yang, Guimei Cao, Jianxiu Yang, Real-time Vehicle Detection from UAV Imagery, IEEE BigMM 2018.
[4]Jinjian Wu, Zuoming Sun, Man Zhang, Xuemei Xie, Guangming Shi. Joint Entropy Degradation Based Blind Image Quality Assessment, IEEE BigMM 2018.
[5] Xuemei Xie, Wang Li, Jianan Li, Xun Xu.Local feature analysis for real-time action recognition, International Conference on Deep Learning Technology (ICDLT), 2018.
[6]Xuemei Xie, Chenye Wang, Jiang Du, Guangming Shi. Full image recover for block-based compressive sensing [C]. IEEE International Conference on Multimedia and Expo (ICME) 2018.
[7] Jiang Du,Xuemei Xie, Chenye Wang, Guangming Shi, Xun Xu, Yuxiang Wang. Fully convolutional measurement network for compressive sensing image reconstruction [J]. Neurocomputing, 2018.
[8] Jiang Du,Xuemei Xie, Chenye Wang, Guangming Shi. Color image reconstruction with perceptual compressive sensing, IEEE International Conference on Pattern Recognition (ICPR), 2018.
[9]石光明, 李莹玉, 谢雪梅.语义通讯智能时代的产物,模式识别与人工智能, 2018.
[10] Kai Jin, XuemeiXie, Fangyu Wang, et al.Real-Time Face Attendance Marking System in Non-cooperative Environ-ment,International Conference on Video andImageProcessing (ICVIP), 2018.
[11]XuemeiXie, Yongbo Li,Weisheng Dong, et al. Learning Parametric Sparse Models for Heavy Noisy Removal From Images[J]. IEEE Access, 2018.
[12] Jianqiang Song, Xuemei Xie, Guangming Shi, et al. Exploiting class-wise coding coefficients: Learning a discriminative dictionary for pattern classification[J].Neurocomputing, 2018.
[13] YongboLi, Weisheng Dong, XuemeiXie, et al. Image Super-resolution with Parametric Sparse Model Learning, IEEE Trans. on Image Processing, 2018.
[14]GuangmingShi, TaoHuang, Weisheng Dong, JinjianWu, and XuemeiXie, Robust Foreground Estimation via Structured Gaussian Scale Mixture Modeling, IEEE Trans. on Image Processing, 2018.
2017：
[1] Xie X, Xu X, Ma L, Shi G, Chen P. On the study of predictors in Single Shot Multibox Detector[C]. International Conference on Video and Image Processing, 2017.
[2]Fu Li, Baoyu Zhang, Guangming Shi, Yi Niu, Ruodai Li, Lili Yang and Xuemei Xie. “Single-Shot Dense Depth Sensing with Color Sequence Coded Fringe Pattern”, Sensors, 2017, 17(11), 2558.
[3]Ruodai Li, Fu Li, Yi Niu, Guangming Shi, Lili Yang, and Xuemei Xie. "Maximum a posteriori-based depth sensing with a single-shot maze pattern. " Optics Express ,25.21(2017):25332-25352.
[4]Jiang Du, Xuemei Xie, Guangming Shi, Hong Hu and Wang Li. An Improved Approach for Visualizing Dynamic Vision Sensor and its Video Denoising. ICVIP 2017.
[5]Xuemei Xie, Jiang Du, Guangming Shi, Jianxiu Yang, Wan Liu, Wang Li. "DVS Image" Noise Removal using K-SVD Method, ICGIP Oct. 2017
[6] Guimei Cao, Xuemei Xie, Wenzhe Yang, Quan Liao, Guangming Shi, Jinjian Wu. Feature-Fused SSD: Fast Detection for Small Objects. International Conference on Graphic and Image Processing, ICGIP Oct. 2017
[7]Jinjian Wu, Man Zhang, Guangming Shi, Xuemei Xie, and Wei Lin, “No-Reference Image Quality Assessment with Orientation Selectivity Mechanism”, IEEE ICIP2017.
[8]Xie Xuemei,Han Xiao,Liao Quan,Shi Guangming.Visualization and Pruning of SSD with the base network VGG16,ICDLT 2017:90-94.
[9]Xie Xuemei,Wang Chenye,Chen Shu,Shi Guangming,Zhaozhifu.Real-Time Illegal Parking Detection System Based on Deep Learning,ICDLT 2017：23-27
[10] Xuemei Xie, Yuxiang Wang, Guangming Shi, Chenye Wang, Jiang Du, Xiao Han. Adaptive measurement network for CS image reconstruction. CCCV2017 (The Chinese Conference on Computer Vision 2017)
[11]Xuemei Xie, Yazhong Zhang, Jinjian Wu*, et al, "Bag-of-Words Feature Representation for Blind Image Quality Assessment with Local Quantized Pattern", Neurocomputing， 2017.
[12]Wenfei Wan, Jinjian Wu*,Xuemei Xie, Guangming Shi. A Novel Just Noticeable Difference Model via Orientation Regularity in DCT Domain. IEEE Access,PP(99):1-1. 2017.
[13]Chao Wen, Xuemei Xie, Guangming Shi.Off-grid DOA estimation under nonuniform noise via variational sparse Bayesian learning.Signal Processing,no.137,pp.69-79,2017.
[14]Tao Huang, Weisheng Dong,XuemeiXie,GuangmingShi, and Xiang Bai, Mixed noise removal via Laplacian scale mixture modeling and nonlocal low-rank approximation,IEEE Trans. on Image Processing, 2017.
[15]Chao Wen, Guangming Shi, Xuemei Xie.Estimation of directions of arrival of multiple distributed sources for nested array. Signal Processing,vol.130,no.c,pp.315-322,2017.
2016：
[1]Fu Li, Dandan Jiao, Guangming Shi, Senior Member, IEEE, Yi Niu, Chunxiao Fan, and Xuemei Xie, “An AR Based Fast Mode Decision for H.265/HEVC Intra Coding ,”Multimedia Tools and Applications. 2016,75 (12):1-21.
[2]Chunxiao Fan, Yi Niu, Guangming Shi,?Fu Li, Fei Qi, Xuemei Xie, Dandan Jiao, “An Improved Signed Digit Representation Approach for Constant Vector Multiplication,”?IEEE Trans. on Circuits and Systems II: Express Briefs, 2016: 1–5.
[3]Yazhong Zhang, Jinjian Wu, Xuemei Xie, Guangming Shi, Blind Image Quality Assessment Based On Local Quantized Pattern, theConference on Multimedia PCM, 2016.
[4]YongboLi, Weisheng Dong, XuemeiXie, et al. Learning parametric sparse models for image super-resolution, NIPS, 2016.
2015：
[1]Li Yongbo,Dong Weisheng,Shi Guangming,Xie Xuemei. Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding.ICCV 2015.
[2]Chunxiao Fan, Fu Li, Guangming Shi, Yi Niu, Fei Qi, Xuemei Xie and Dandan Jiao, A hierarchical multiplier-free architecture for HEVC transform, Multimedia Tools and Applications，Vol.74, No.24,pp:1-19 2015.
[3]Yazhong Zhang, Jinjian Wu, Guangming Shi, Xuemei Xie, Yi Niu, Chunxiao Fan.Reduced-Reference Image Quality Assessment Based on DCT Entropy.IEICE Transaction on Fundamentals.Vol. E98-A, No. 12, pp. 2642-2649, 2015.
[4]Yaohai Lin, Xuemei Xie, Guangming Shi, Danhua Liu, and Dahua Gao,Compressive spectral imaging using variable number of measurements,Applied?optics,2015, 54(19): 5882-5888.
[5]Fu Li, Shan Gao, Guangming Shi, Qin Li, Lili Yang, Ruodai Li, Xuemei Xie. Single Shot Dual-Frequency Structured Light Based Depth Sensing,IEEE Journal of Selected Topics in Signal Processing,vol.9,no.3,pp.384-395,2015.
[6] Yazhong Zhang, Jinjian Wu, Guangming Shi and Xuemei Xie. Reduced-Reference Image Quality Assessment Based on Entropy Differences in DCT Domain.IEEE ISCAS 2015
2014：
[1]Qin Li, Fu Li, Guangming Shi, Shan Gao, Ruodai Li, Lili Yang, and Xuemei Xie,One-shot depth acquisition with a random binary pattern,Applied Optics, Vol. 53, Iss.30, pp. 7095–7102 2014
2013：
[1] DH Gao, DH Liu, XM Xie, XL Wu, and GM Shi, "High resolution multi-spectral imaging with random coded exposure", Journ. of Appl. Remote Sensing, vol.7, no.1, pp.1-13, Sep. 2013.
[2] GM Shi, CY Chen, J Lin, XM Xie and XY Chen, "Narrowband ultrasonic detection with high range resolution: separating echoes via compressed sensing and singular value decomposition", IEEE Trans. on Ultrason., Ferroelectr., and Freq. Control, vol.59, no.10, pp.2237-2253, Oct. 2012.
[3] LL Liang, GM Shi, and XM Xie, "Nonuniform directional filter banks with arbitrary frequency partitioning", IEEE Trans. on Image Proc., vol.20, no.1, pp.283-288, Jan. 2011.
[4] GM Shi, DH Gao, XX Song, XM Xie, XY Chen, and DH Liu, "High-resolution imaging via moving random exposure and its simulation", IEEE Trans. on Image Proc., vol.20, no.1, pp.276-282, Jan. 2011.
[5] W Zhong, GM Shi, and XM Xie,"Design of linear-phase nonuniform filter banks with partial cosine modulation", IEEE Trans. on Signal Proc., vol.58, no.6, pp.3390-3395, Jun. 2010.
[6] GM Shi, LL Liang, and XM Xie, "Design of diretional filter banks with arbitrary number of subbands", IEEE Trans. on Signal Proc., vol.57, no.12, pp.4936-4941, Dec. 2009.
[7] SS Yin, SC Chan, KM Tsui, and XM Xie, "On the theory and design of a class of PR uniform and recombination causal-stable IIR cosine modulated filter banks with rational sampling factors", IEEE Trans. on Circ. and Syst. II, vol.55, no.8, pp.776-780, Aug. 2008.
[8] XM Xie, SC Chan, and TI Yuk, “Design of linear-phase recombination nonuniform filter banks”, IEEE Trans. on Signal Proc., pp.2809-2814, Jul. 2006.
[9] SC Chan and XM Xie, “Biorothognal recombination nonuniform cosine-modulated filter banks and their multiplier-less realizations”, Journal of VLSI Signal Proc., vol.44,pp.5-23,Jun. 2006.
[10] XM Xie, SC Chan, and TI Yuk, “Design of perfect-reconstruction nonuniform recombination filter banks with flexible rational sampling factors”, IEEE Trans. on Circuits Syst. I, vol.52, no.9, pp.1965-1981, Sep. 2005.
[11] XM Xie and SC Chan, “Theory and design of a class of nonuniform filter banks with linearphase filters”, IEICE Trans. on Inf. & Syst., vol.E88_D, no.7, pp.1445-1452, Jul. 2005.
专利：
谢雪梅，王陈业，杜江，石光明，汪芳羽：基于分块观测的压缩感知网络及全图重构方法，1.8
石光明，杜江，王陈业，谢雪梅，汪芳羽：基于全图观测的压缩感知网络及感知损失重构方法，0.7
石光明，谢雪梅，高大化：基于语义定义的目标识别网络设计方法，6.0
谢雪梅，曹桂梅，杨文哲：基于深度学习的航拍车辆实时检测方法，5.9
谢雪梅，刘婉，赵至夫：基于卷积网络的时空视频压缩感知方法，3.X
谢雪梅，陈建宇，石光明：基于先验知识的双人交互行为识别方法，8.8
谢雪梅，王禹翔，石光明，王陈业，杜江，赵至夫：基于深度学习的自适应观测压缩感知图像重构方法，7.8
谢雪梅，李旺，杜江：基于共享K-SVD字典的DVS可视化视频去噪方法，9.9
石光明，廖泉，马丽华：构建城市道路车辆图像数据库的方法，3.2

荣誉获奖
1. 教育部“新世纪优秀人才”奖.
2. 第十八届中国科协年会全国科技工作者创新创业大赛陕西赛区银奖，排名第二.

科研团队
本人隶属人工智能学院石光明教授团队的成像与智能视觉/类脑智能技术工程研究中心。
http://web.xidian.edu.cn/gmshi/team.html

课程教学
研究生课程：
多速率信号处理与小波理论及应用

招生要求
本人隶属人工智能学院石光明教授团队。
团队的招生情况详情见：http://web.xidian.edu.cn/gmshi/zhaosheng.html
本人招生方向：电路与系统博士、电路与系统硕士
每年招生:5人
本人从事深度学习、强化学习、计算机视觉、图像及视频处理等方面的理论和应用研究。要求学生具备：
1）学习态度好；
2）数学好；
3）信号处理理论扎实；
4）英文好。

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