电子信息工程系

仲元红




仲元红 : 博士,副教授,硕士生导师。

联系方式: Email: zhongyh@cqu.edu.cn;

个人简介:

     重庆合川人,男,工学博士, IEEE-senior member,中国人工智能学会会员,中国图象图形学会会员,中国电子学会会员,国家科技专家库评审专家、重庆市科技局专家、重庆市经信委专家,之江实验室青年人才委员会委员,目前于bat365在线平台任教,先后承担本科“数字信号处理”、 “机器视觉与模式识别” 和研究生“实时信号处理系统设计”、 DSP技术”等课程教学;指导本科生、研究生参加专业学科竞赛获全国一等奖1项、二等奖4项及其他奖若干。长期从事计算机视觉,智能信息处理,智能硬件等方面的研究。目前主持国家自然科学基金、重庆市技术创新与应用发展等纵向项目多项,主研科技部、省部级项目以及主持横向科研项目多项,以第一作者或通讯作者发表SCI/EI收录期刊论文20余篇,参编专著一本,参编标准多项,多个国际著名期刊的评审人,获权发明及实用新型专利20余项,转让多项。

主要研究领域:

1)图像恢复(图像低光增强、超分辨、压缩感知等)

2)图像目标检测、分割与识别(文字检测、异常检测、医学图像分割等)

3)视频智能分析(异常检测、骨架提取、动作识别等)

4)智能无人自主系统感知与决策(激光SLAM、VSLAM、多源融合感知等)

5)硬件设计与边缘智能

发表论文(近5年)

[1]Yuanhong Zhong*,Chenxu Zhang, Jin Li. Image Compressed Sensing Reconstruction via Deep Image Prior With Structure-Texture Decomposition, IEEE Signal Processing Letters,vol 30,pp85–89,2023.2.2.

[2]Yuanhong Zhong*,Chenxu Zhang,Fan Ren,et al. Scalable Image Compressed Sensing With Generator Networks[J], IEEE Transactions on Computational Imaging,vol.8,pp.1025 – 1037,2022.12.1, DOI: 10.1109/TCI.2022.3224281.

[3]Yuanhong Zhong*, Xia Chen, Yongting Hu et al. Bidirectional spatio-temporal feature learning with multi-scale evaluation for video anomaly detection[J], IEEE Transactions on Circuits and Systems for Video Technology, vol 32,No 18. 2022.7.13. DOI: 10.1109/TCSVT.2022.3190539

[4] Yuanhong Zhong*, Shuangshuang Hu, Guan Huang et al., WF-SLAM: A Robust VSLAM for Dynamic Scenarios via Weighted Features[J], IEEE Sensors Journal, vol. 22, no. 11, pp. 10818-10827, June, 2022.

[5] Yuanhong Zhong*, Xinyu Cheng, Tao Chen et al. PRPN: Progressive region prediction network for natural scene text detection[J] , Knowledge-Based Systems, Vol 236,2022,107767.

[6] Yuanhong Zhong*, Xia Chen, Jinyang Jiang, et al. A cascade reconstruction model with generalization ability evaluation for anomaly detection in videos[J], Pattern Recognition, 2022, 122: 108336.

[7] Zhong Yuanhong*, Chen Xia, Jiang J, et al. Reverse erasure guided spatio-temporal autoencoder with compact feature representation for video anomaly detection[J]. SCIENCE CHINA-Information Sciences, 2022, 65: 194101.doi: 10.1007/s11432-021-3444-9

[8]Zhang D , Zhu B , Zhong Yuanhong*. MBMR-Net: multi-branches multi-resolution cross-projection network for single image super-resolution[J]. Applied Intelligence, 2022.

[9]Xiaoming Liu, Yan Yang, Yuanhong Zhong*, et al. Super-Pixel Guided Low-Light Images Enhancement with Features Restoration,Sensors, vol.22 ,No.10(2022), 3667.

[10]Zhong Yuanhong*; Zhang Jing; Zhou Zhaokun; et al.  Recovery of image and video based on compressive sensing via tensor approximation and Spatio-temporal correlation[J], Multimedia Tools and Applications ,2021,80(5): 7433-7450.

[11]Chen MengNi ; Zhong Yuanhong*;  Feng Yi, et al .Machine learning for nanohertz gravitational wave detection and parameter estimation with pulsar timing array[J], Science China –Physics Mechanics&Astronomy, 2020,63(12).

[12]Zhong Yuanhong*; Cheng Xinyu; Zhou Zhaokun et al. Specific category region proposal network for text detection in natural scene[J], IET Image Processing,2020,14(9) :1832-1839.

[13]Zhou Zhaokun; Zhong Yuanhong*; Liu Xiaoming ,et al; DC-MMD-GAN: A New Maximum Mean Discrepancy Generative Adversarial Network Using Divide and Conquer[J], Applied Sciences-Basel,2020,10(18).

[14]Yuanhong Zhong*; Jing Zhang; Xinyu Cheng, et al. Reconstruction for block-based compressive sensing of image with reweighted double sparse constraint[J], EURASIP Journal on Image and Video Processing, 2019, 2019(63).

[15]Yuan hong Zhong*; Shun Zhang; Rongbu He et al. A Convolutional Neural Network Based Auto Features Extraction Method for Tea Classification with Electronic Tongue[J]. Applied Science-BASEL. 2019, Vol.9, No.12, 2518.

[16]Yuanhong Zhong*; Junyuan Gao; Qilun Lei; et al . A Vision-Based Counting and Recognition System for Flying Insects in Intelligent Agriculture[J], Sensors ,  vol.18. No.5 (2018), 1489.

[17] 仲元红*, 周宇杰, 张静, 张晨旭. 基于非局部先验的深度压缩感知图像重构网络[J]. 电子与信息学报. 2022.6.8, doi: 10.11999/JEIT211506.

授权专利(部分)

[1]仲元红;李琅;张静;马心怡;成欣雨;黄关;周昭坤基于重权值的双重稀疏约束的图像块压缩感知重构方法; 中国, ZL201910357504.1, 申请日:2019-04-29;授权日:2021-02-02

[2]仲元红 ;张超 ;张明恒 ;李瑾熙 ;一种基于深度学习的低速自动驾驶小车控制方法及系统,中国ZL201910388213.9,申请日:2019-05-10授权日: 2022.06.17

[3]仲元红; 樊涛; 吴雪松; 毛薇,基于神经网络的语音与情绪的同步识别方法,授权专利号:ZL201810533830.9,申请日:2018.05.29,授权日:2020.04.17

[4]仲元红,张钊源; 丁睿; 张顺; 黄关; 张静; 成欣雨; 周昭坤,基于视觉SLAM和网络地图结合的机器人城市导航系统,授权专利号:ZL201810764916.2,申请日:2018.07.12,授权日:2020.01.24

[5]仲元红;成欣雨; 邱琴; 何婷; 沈宪伟; 刘世勇; 雷绮仑; 张钊源; 张顺,一种用于圆柱面二维码贴的预畸变二维码生成方法,授权专利号:Z201710344070.2,申请日:2017.05.16,授权日:2019.08.16

[6]仲元红;张顺; 欧翔; 周瑶; 雷绮仑; 张钊源; 杨萍; 李瑾,基于数学形态学的四阶偏微分方程图像去噪方法,授权专利号:ZL 201610752875.6,申请日:2016.08.29,授权公告日:2019.05.24

[7]仲元红;陈钱; 狄梦之; 符军; 欧翔; 李瑾,可穿戴旋翼飞行器,授权专利号:ZL 201610335584.7申请日:2016.05.19, 授权公告日:2018.01.09

[8]仲元红;刘晓明; 邵毅敏; 韩术; 葛克军; 查小东; 刘世勇; 杨萍,一种图像分析齿轮碰撞/损伤形变过程的方法及系统, 授权专利号:ZL201310550653.2,申请日:2013.11.08,授权公告日:2015.08.05

科研项目(部分)

[1]重庆市科技局,技术创新与应用发展面上项目,No.cstc2019jscx-msxmX0167,中小学幼儿园校园公共区域异常事件感知系统研究与应用,2019-09至2021-10,在研,主持。

[2] 2021年第二批教育部协同育人项目,No. 202102333013,基于人形机器人的机器视觉课程教学改革研究与探索,2021-10至2022-10,在研,主持。

[3]国家自然科学基金委员会,青年项目,No.61501069,面向无线多媒体传感器网络的高效压缩视频感知,2016-01至2018-12,已结题,主持;

[4]中央高校基本科研业务费,面上项目,No. CDJZR12160015,基于CS图像编码的无线多媒体传感器网络研究,2012.9至2015-1;已结题,主持;

[5]中央高校基本科研业务费,董事长专项,No.106112016CDJXZ168815,面向群体事件的视频感知关键技术研究,2016.9至2017-1;已结题,主持;

[6]国网重庆市电力公司长寿供电分公司,横向科研项目,高耗能工业企业负荷特性的园区能源互联网碳排放优化关键技术研究服务,2022.5至2023-12;在研,主持;

参与标准编写

[1]ITU-T H.845.10 "Conformance of ITU-T H.810 personal health system: Personal Health Devices interface Part 5J: Insulin pump".

[2] ISO/IEEE 11073-40101:2022 Health informatics—Device interoperability—Part 40101: Foundational— Cybersecurity—Processes for vulnerability assessment.

[3]ISO/IEEE 11073-40102:2022 Health informatics — Device interoperability — Part 40102: Foundational — Cybersecurity — Capabilities for mitigation.

[4]ISO/IEEE 11073-10404:2022 Health informatics—Personal health device communication Part 10404: Device specialization— Pulse oximeter.

[5] ISO/IEEE 11073-20601:2022 Health informatics—Personal health device communication Part 20601: Application profile—Optimized Exchange Protocol.