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Associate Professor

Supervisor of Master's Candidates

Date of Employment:2006-06-30

School/Department:微电子与通信工程学院

Education Level:With Certificate of Graduation for Doctorate Study

Gender:Male

Contact Information:zhongyh@cqu.edu.cn

Degree:Doctoral degree

Status:Employed

Alma Mater:重庆大学

Discipline:Communications and Information Systems
Signal and Information Processing
Other specialties in Information and Communications Engineering

Yuanhong Zhong

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Gender:Male

Education Level:With Certificate of Graduation for Doctorate Study

Alma Mater:重庆大学

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仲元红 : 博士,副教授,硕士生导师。联系方式: 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,目前于重庆大学微电子与通信工程学院电子系任教,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。作为项目负责人主持国家自然科学基金青年基金及面上项目、科技部重点研发项目课题、重庆市科技局自然科学基金面上项目、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40余篇,参编专著一本,参编标准多项,多个国内/国际知名期刊评审人,获权发明及实用新型专利20余项,转让多项。成果获得重庆市科技进步二等奖1项,中国仪器仪表学会科技进步二等奖1项,重庆市产学研创新成果一等奖1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(近三年)[1]Yuanhong Zhong*, Guangxia Yang, Daidi Zhong, Xun Yang, Shanshan Wang, Zhangling Duan. Local-Global Feature Fusion for Enhancing 3D Human Pose Estimation[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2025.09, DOI:10.1109/TCSVT.2025.3608047(Early Access)[2]Yuanhong Zhong*, Ge Yan, Ruyue Zhu, Ping Gan, Xuerui Shen. Early Traffic Accident Anticipation via Feature Consistency Representation and Soft Label Regression[J]. ACM Transactions on Multimedia Computing, Communications, and Applications, 2025.09, DOI: 10.1145/3767737(Early access)[3]Yuanhong Zhong*, Ge Yan, Yongting Hu, Dong Zhu, Ruyue Zhu. A Two-Stage Framework With Memory for Anomaly Detection via Video Decomposition and Bidirectional Consistency[J]. IEEE Transactions on Circuits and Systems for Video Technology. Vol 35, No.11, 2025.11.[4]Yongting Hu, Yuanhong Zhong*, Jinkai Li , Xin Wang. Learning multiscale residual prototypes and global-local correspondence for video anomaly detection[J].Computer Vision and Image Understanding,Vol 262, Dec 2025, 104524.[5]Yuanhong Zhong*,Ruyue Zhu, Ge Yan, Ping Gan, Xuerui Shen,Dong Zhu. Inter-Clip Feature Similarity Based Weakly Supervised Video Anomaly Detection via Multi-Scale Temporal MLP[J]. IEEE Transactions on Circuits and Systems for Video Technology, vol 35,No.2.2025.[6]Yuanhong Zhong*, Qianfeng Xu, Daidi Zhong, Xun Yang,Shanshan Wang. FaSRnet: a feature and semantics refinement network for human pose estimation[J]. Frontiers of Information Technology & Electronic Engineering, vol 25 ,513–526, 2024. [7]Yuanhong Zhong*, Zhang Chenxu, Yang Xun, et al. Video Compressed Sensing Reconstruction via an Untrained Network with Low-Rank Regularization[J]. IEEE Transactions on Multimedia, vol 26. 2024.[8]Yuanhong Zhong*, Guangxia Yang, Daidi Zhong. Frame-Padded Multiscale Transformer for Monocular 3D Human Pose Estimation[J]. IEEE Transactions on Multimedia, vol 26. 2024. [9]Yuanhong Zhong*, Yang Guangxia, Deng Dihang, et al. Mask-SL RCNN: Feature-enhanced 3D Object Detection Network for Point Clouds[J]. IEEE Photonics Journal, vol 15, No.5, 2023.[10]Yuanhong Zhong*, Hu Yongting, Tang Panliang, et al. Associative Memory with Spatio-Temporal Enhancement for Video Anomaly Detection[J]. IEEE Signal Processing Letters, vol 30, 2023.[11]Yuanhong Zhong*,Chenxu Zhang, Jin Li. Image Compressed Sensing Reconstruction via Deep Image Prior With Structure-Texture Decomposition[J], IEEE Signal Processing Letters,vol 30 ,2023.2.[12]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.[13]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. [14] 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.[15] 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.[16] 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.[17] 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[18]Zhang D , Zhu B , Zhong Yuanhong*. MBMR-Net: multi-branches multi-resolution cross-projection network for single image super-resolution[J]. Applied Intelligence, 2022.[19]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.[20] 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.部分授权专利[1]仲元红,钟代笛,徐乾锋,冉琳,王新月,郭雨薇,魏晓燕,赵艳霞,黄智勇,周庆,葛亮,唐枋,刘继武.一种基于视觉图像的人体动作评估方法.中国, ZL202111423509.3,授权日:2025-02-07.[2]仲元红,胡永婷,祝如越,严格,孙树海,钟代笛,黄智勇,韩术,周庆. 基于时空增强关联记忆的视频异常检测方法.中国,ZL202310950812.1, 授权日:2025-06-10.[3]仲元红,张晨旭(学),祝如越,孙树海,张艺. 图像压缩感知方法、恢复方法、设备、系统及存储介质.中国,ZL202210131265.X, 授权日:2024-02-13.[4]仲元红,黄关,胡双双,邓迪杭,张靖怡,陈霞,周宇杰,张晨旭,徐乾锋. 一种基于语义和几何的联合优化动态SLAM方法.中国, ZL202011241578.8, 授权日:2024-01-12.[5]仲元红,陈霞,朱冬,张建,杨易.基于重构和预测的异常检测方法.中国, ZL202111016334.4, 授权日:2023-09-12.[6]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,授权日:2021-02-02.[7]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, 授权日: 2022.06.17.[8]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.中国, ZL201810533830.9,授权日:2020.04.17.[9]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.中国, ZL201810764916.2,授权日:2020.01.24.[10]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. 中国, ZL 201710344070.2,授权日:2019.08.16.[11]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. 中国, ZL 201610752875.6,授权日:2019.05.24.[12]仲元红,陈钱,狄梦之,符军,欧翔,李瑾. 可穿戴旋翼飞行器.中国, ZL201610335584.7, 授权日:2018.01.09.部分科研项目[1]科学技术部, 国家重点研发计划课题,No.2023YFC3606101,面向主动健康的智能设备微内核操作系统与数据交换中间件研发与应用, 2023-12至2026-11,在研,主持。[2]国家自然科学基金委员会,面上项目,No. 62372074,面向巡检移动视角的持续视频异常检测,2024-01至2027-12,在研,主持;[3]中国计算机学会,CCF-联想蓝海科研基金,CCF-Lenovo OF 20240106,通过Color Sensor高精度提取物体颜色/纹理特征,2024-12至2025-12,在研,主持;[4]重庆市科技局,自然科学基金面上项目,No. CSTB2023NSCQ-MSX0274,基于高级语义推理的视频异常检测研究,2023-07至 2026-06, 在研,主持;[5]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,已结题,主持。[6]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。[7]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;[8]中央高校基本科研业务费,校长专项,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;部分参编国际标准[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.