王光成,讲师(校聘副教授),2022年于武汉大学计算机学院、国家多媒体软件工程技术研究中心获博士学位。长期从事图像视频处理研究,在IEEE/ACM汇刊上发表论文10余篇,2篇入选ESI高被引论文,1篇长期入选期刊Popular榜单,Google scholar被引1700余次,授权专利7项。主持国家自然科学基金青年项目1项、南通市自然科学基金青年项目1项与省重点实验室开放基金1项,参研国家自然科学基金重点项目1项、国家自然科学基金联合重点项目1项、面上项目2项和产学研项目1项(武汉大学-OPPO),担任20余个著名SCI期刊审稿人。获IEEE智能信号处理和通信系统全球专题会议(ISPACS2022)最佳论文奖、中国自动化学会科技进步二等奖。(邮箱:wanggc@ntu.edu.cn)
研究方向
图像视频处理
获奖情况
2023年获中国自动化学会科技进步二等奖
2023年获IEEE国际信息、通信和网络会议(ICICN2023)最佳Poster奖
2022年获IEEE智能信号处理和通信系统全球专题会议(ISPACS2022)最佳论文奖
2021年获CSIG FAT-AI 2021开放场景口罩人脸识别挑战赛高校团队冠军
2020年获武汉大学研究生学术创新奖
科研项目
国家自然科学基金委员会, 青年科学基金项目, 62401296, 面向人机协作救援的六自由度全景视频质量评价与修复方法研究, 2025-01-01 至 2027-12-31, 30万元, 在研, 主持
南通市科技局,青年科学基金项目: 自动驾驶场景下视角合成质量评价方法研究,2023-09-01至2026-08-31,20万元,在研,主持
国家自然科学基金委员会, 重点项目, 62431014, 低空信道智能建模与预测推理, 2025-01-01 至2029-12-31, 225万元, 在研, 参与
国家自然科学基金委员会, 面上项目, 62171326, 基于重叠说话人噪声对抗机理的语音分离关键技术研究, 2022-01-01 至 2025-12-31, 63万元, 在研, 参与
国家自然科学基金委员会, 面上项目, 62071339, 多通道多尺度时空融合的监控视频超分辨率重建, 2021-01-01 至 2024-12-31, 63万元, 资助期满, 参与
国家自然科学基金委员会, 联合基金项目, U1903214, 面向监控摄像机网络的全局可信身份识别的理论与方法, 2020-01-01 至 2023-12-31, 250万元, 结题, 参与
OPPO公司, 产学研合作项目,视频异常检测与视频质量评估能力构建项目, 2022-03 至 2023-02, 80.5万元, 结题, 参与
学术论文
1.图像/视频质量评价及增强
[1] Guangcheng Wang, Kui Jiang, Ke Gu, Hongyan Liu, Hantao Liu and Wenjun Zhang, Coarse- and Fine-Grained Fusion Hierarchical Network for Hole Filling in View Synthesis, IEEE Transactions on Image Processing, vol. 33, pp. 322-337, 2024.
[2] Guangcheng Wang, Baojin Huang, Ke Gu, Yuchen Liu, Hongyan Liu, Quan Shi, Guangtao Zhai and Wenjun Zhang, No-Reference Multi-Level Video Quality Assessment Metric for 3D-Synthesized Videos, IEEE Transactions on Broadcasting, vol. 70, no. 2, pp. 584-596, 2024.
[3] Jifan Yang, Zhongyuan Wang, Guangcheng Wang, Baojin Huang, Yuhong Yang and Weiping Tu, Auxiliary Information Guided Self-attention for Image Quality Assessment, ACM Transactions on Multimedia Computing, Communications and Applications, vol. 20, no. 4, pp. 1-23, 2024.
[4] Hancheng Zhu, Zhiwen Shao, Yong Zhou, Guangcheng Wang, Pengfei Chen and Leida Li, Personalized Image Aesthetics Assessment with Attribute-guided Fine-grained Feature Representation, Proceedings of the 31st ACM International Conference on Multimedia, 2023, pp. 6794-6802.
[5] Hui Wang, Guangcheng Wang, Wenjun Xia, Ziyuan Yang, Hui Yu, Leyuan Fang and Yi Zhang, Blind Image Quality Assessment via Deep Response Feature Decomposition and Aggregation, IEEE Journal of Selected Topics in Signal Processing, vol. 17, no. 6, pp. 1165-1177, 2023.
[6] Kui Jiang, Zhongyuan Wang, Peng Yi, Chen Chen, Guangcheng Wang, Zhen Han, Junjun Jiang and Zixiang Xiong, Multi-Scale Hybrid Fusion Network for Single Image Deraining, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 7, pp. 3594-3608, 2023.
[7] Guangcheng Wang, Zhongyuan Wang, Ke Gu, Kui Jiang and Zheng He, Reference-Free DIBR-Synthesized Video Quality Metric in Spatial and Temporal Domains, IEEE Transactions on Circuits and Systems for Video Technology, vol. 32, no. 3, pp. 1119-1132, 2022.
[8] Guangcheng Wang, Zhongyuan Wang, Ke Gu, Leida Li, Zhifang Xia, and Lifang Wu, Blind Quality Metric of DIBR-Synthesized Images in the Discrete Wavelet Transform Domain, IEEE Transactions on Image Processing, vol. 29, pp. 1802-1814, 2020.
[9] Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Tao Lu and Junjun Jiang, Edge-Enhanced GAN for Remote Sensing Image Superresolution, IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 8, pp. 5799-5812, 2019.
2.人脸图像分析与理解
[1] Baojin Huang, Guangcheng Wang, Kui Jiang and Zhongyuan Wang, DALFace: Dynamic Association Learning for Face Recognition, IEEE Transactions on Multimedia, accepted, in press, 2025.
[2] Baojin Huang, JiaqiMa, Guangcheng Wang (通信作者) and Hui Wang, HDL: Hybrid and Dynamic Learning for Fake Face Recognition, IEEE Transactions on Artificial Intelligence, early access, doi: 10.1109/TAI.2025.3537963, 2025.
[3] Zhongyuan Wang, Baojin Huang, Guangcheng Wang, Peng Yi and Kui Jiang, Masked Face Recognition Dataset and Application, IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 5, no. 2, pp. 298-304, 2023.
[4] Baojin Huang, Zhongyuan Wang, Guangcheng Wang, Kui Jiang, Zhen Han, Tao Lu and Chao Liang, PLFace: Progressive learning for face recognition with mask bias, Pattern Recognition, Vol. 135, pp. 109142, 2023.
[5] Baojin Huang, Zhongyuan Wang, Guangcheng Wang, Zhen Han and Kui Jiang, Local eyebrow feature attention network for masked face recognition, ACM Transactions on Multimedia Computing, Communications and Applications, vol. 19, no. 3, pp. 1-19, 2023.
[6] Guangcheng Wang, Zhongyuan Wang, Baojin Huang, Kui Jiang, Zheng He, Hancheng Zhu, Jinsheng Xiao and Xin Tian, Two-stage unsupervised facial image quality measurement, Information Sciences, Vol. 611, pp. 432-445, 2022.
[7] Guangcheng Wang, Zhongyuan Wang, Kui Jiang, Baojin Huang, Zheng He, Ruimin Hu, Silicone mask face anti-spoofing detection based on visual saliency and facial motion, Neurocomputing, vol. 458, pp. 416-427, 2021.
[8] Kui Jiang, Zhongyuan Wang, Peng Yi, Guangcheng Wang, Ke Gu and Junjun Jiang, ATMFN: Adaptive-Threshold-Based Multi-Model Fusion Network for Compressed Face Hallucination, IEEE Transactions on Multimedia, vol. 22, no. 10, pp. 2734-2747, 2020.
3.空气质量监测
[1] Guangcheng Wang, Quan Shi, Han Wang, Ke Gu, Mengting Wei, Lai-Kuan Wong and Mingxing Wang, Vision-Based PM2.5 Concentration Estimation with Natural Scene Statistical Analysis, IEEE Transactions on Artificial Intelligence, vol. 5, no. 6, pp. 2805-2815, 2024.
[2] Guangcheng Wang, Quan Shi, Han Wang, Kezheng Sun, Yuxuan Lu and Kexin Di, Multi-modal image feature fusion-based PM2.5 concentration estimation, Atmospheric Pollution Research, vol. 13, no. 3, pp. 101345, 2022.
[3] Kezheng Sun, Lijuan Tang, JianSheng Qian, Guangcheng Wang (通信作者) and Cairong Lou, A deep learning-based pm2. 5 concentration estimator, Displays, vol. 69, pp. 102072, 2021.
专利
王光成; 金磊; 王晗; 施佺; 黄聪,一种多层级无参考3D合成视频质量评价方法,发明专利,申请(专利)号:CN202410489926.5, 受理时间:2024-04-23
王光成; 施佺; 王晗; 黄聪; 刘文杰; 姜鸿星, 一种基于图像自然场景统计分析的PM-(2.5)浓度测量方法, 发明专利, 申请(专利)号: CN202310420090.9, 受理时间:2023-04-19
王中元; 黄宝金; 王光成; 熊张洋; 洪琪; 吴浩; 易鹏, 一种口罩人脸识别方法及系统, 发明专利, 专利号: CN111460962B, 授权时间:2023-05-05
王中元; 何政; 王光成; 傅佑铭, 一种对抗攻击样本扰动的去除方法, 发明专利, 专利号: CN109740615B, 授权时间:2023-04-07
汤丽娟; 孙克争; 王鑫; 王光成, 一种半参考型超分辨率重构图像质量评价模型的建立方法, 发明专利, 专利号: CN109447903B, 授权时间:2022-11-18
王中元; 王光成; 傅佑铭, 一种基于自由能理论和动态纹理分析的伪装人脸识别方法, 发明专利, 专利号: CN111126190B, 授权时间:2022-07-05
王中元; 黄宝金; 邵振峰; 梁步云; 王光成; 易鹏; 江奎, 基于图卷积融合网络的口罩人脸识别方法、系统及设备, 发明专利, 专利号: CN114360033B, 授权时间:2022-06-14
王中元; 王光成; 黄宝金; 韩镇; 曾康利, 一种面向身份识别的人脸质量感知方法及系统, 发明专利, 专利号: CN112287770B, 授权时间:2022-06-07
王中元; 王光成; 肖晶; 何政, 一种基于微表情识别的伪装人脸检测方法, 发明专利, 专利号: CN110084152B, 授权时间:2022-03-15