个人资料：
姓名：郭继昌
职称：教授/博士生导师
学科专业：信息与通信工程
通讯地址：天津大学电气自动化与信息工程学院26教学楼D区
电子信箱：jcguo@tju.edu.cn
主要经历：
分别于南京理工大学、天津大学获得学士、硕士、博士学位，现任天津大学电气自动化与信息工程学院教授、博士研究生导师。2000.4－2000.9日本JICA中心访学，2005.4-2006.3东京理科大学高级访问学者，2010.12-2011年1月美国德州农工大学、Rice大学等交流访问，2017.10-2017.11澳大利亚国立大学CSC交流项目。
主要研究方向：
研究方向：智能视频/图像分析、识别及处理；滤波器理论及设计等。
主要科研项目：
1、2023.1—2025.12，科技创新2030“新一代人工智能”重大项目子课题，类脑通用视觉模型及应用，子课题负责人
2. 2022.1—2025.12，国家自然科学基金项目，低质图像增强对机器视觉任务性能的影响研究，负责人
3. 2018.1—2021.12，国家自然科学基金项目，水下成像层次化建模及水下图像视频清晰化方法研究，负责人
4. 2015.4—2018.3，天津市自然科学基金项目，基于统计模型的图像主动隐写分析研究，负责人
5. 2014.4—2017.12，973计划项目子课题，网络大数据感知融合与表示方法研究，负责人
6. 2013.1—2015.1，编码端资源受限的多视点立体视频编解码系统框架，博士点基金，负责人
7. 2010.1，国家高技术研究发展计划（863计划）子课题，网络立体电视系统研制与应用示范，负责人
8. 2010.4，天津市科技支撑计划，嵌入式视频监控系统运动目标检测与跟踪软件开发，负责人
9. 2009.7，国家高技术研究发展计划（863计划），网络立体电视终端及关键技术研究，负责人
近期代表学术成果：
在国内外期刊和国际会议上发表论文150余篇，其中高被引论文3篇，近期学术论文包括：
1. Yue, H., Guo, J., Yin, X., Zhang, Y., Wen, B., & Li, C. Salient Object Detection Toward Single-Pixel Imaging. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(1), 235–247.
2. Wang, Y., Guo, J., Wang, R., He, W., & Li, C. TIENet: task-oriented image enhancement network for degraded object detection. Signal, Image and Video Processing, 2024, 18(1), 1–8.
3. Yue, Huihui; Guo, Jichang; Yin, Xiangjun; Zhang, Yi; Zheng, Sida; Deep Label Prior: Pre-Training-Free Salient Object Detection Network Based on Label Learning, IEEE Transactions on Multimedia, 2023, 25:6067-6078
4. Wang, Y., Guo, J., He, W., Gao, H., Yue, H., Zhang, Z., & Li, C. Is Underwater Image Enhancement All Object Detectors Need? IEEE Journal of Oceanic Engineering, 2023, 1–16.
5. Gao, Huan; Guo, Jichang; Wang, Yudong; Dong, Jianan; Dual attention guided multi-scale fusion network for RGB-D salient object detection, Signal Processing: Image Communication[J], 2023.10, v 118
6. Xu, Kun; Guo, Jichang; A Novel Edge-Inspired Depth Quality Evaluation Network for RGB-D Salient Object Detection, Journal of Grid Computing, 202309, 21(3)
7. Zhang, Yi; Guo, Jichang; Yue, Huihui; Yin, Xiangjun; Zheng, Sida; Transformer guidance dual-stream network for salient object detection in optical remote sensing images, Neural Computing and Applications, 202308, 35(24):17733-17747
8. He, Wanru; Guo, Jichang; Wang, Yudong; Zheng, Sida; Edge-guided dynamic feature fusion network for object detection under foggy conditions, Signal, Image and Video Processing, 2023.07, 17(5):1975-1983
9. Yue, Huihui; Guo, Jichang; Yin, Xiangjun; Zhang, Yi; Zheng, Sida; Zhang, Zenan; Li, Chongyi; Salient object detection in low-light images via functional optimization-inspired feature polishing, Knowledge-Based Systems, 202212，V257
10. Huan Gao, Jichang Guo, Guoli Wang, Qian Zhang, Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation, CVPR2022, 202205
11. Gu Xiangyuan; Guo Jichang; Li Chongyi; Xiao Lijun , A feature selection algorithm based on redundancy analysis and interaction weight, Applied Intelligence, 2021, 51(4):2672-2686
12. Gu Xiangyuan; Guo Jichang , A feature subset selection algorithm based on equal interval division and three-way interaction information, Soft Computing, 2021, 25(13): 8785-8795
13. Qi Qing; Guo Jichang; Li Chongyi; Xiao Lijun, Blind face images deblurring with enhancement, Multimedia Tools and Applications, 2021, 80(2): 2975-2995
14. Wang, Yudong ; Guo, Jichang; Gao, Huan; Yue, Huihui , UIEC^2-Net: CNN-based underwater image enhancement using two color space , Signal Processing: Image Communication, 2021, 96
15. Chongyi Li , Chunle Guo , Jichang Guo, Ping Han, etal.,PDR-Net: Perception-Inspired Single Image Dehazing Network With Refinement, IEEE Transactions on Multimedia, 2020,22(3): 704-716
16. Xiangyuan Gu,Jichang Guo,Huiwen Wei,Yanhong He, Spatial-domain steganalytic feature selection based on three-way interaction information and KS test, Soft Computing , 2020, 24(1):333–340
17. Qing Qi, Jichang Guo, Weipei Jin,EGAN: Non-uniform image deblurring based on edge adversarial mechanism and partial weight sharing network, Signal Processing: Image Communication, 2020, 88:115952
18. Gu Xiangyuan; Guo Jichang，A study on Subtractive Pixel Adjacency Matrix features，Multimedia Tools and Applications，78(14):19681-19695
19. Chunle Guo,Chongyi Li, Jichang Guo，et al. Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE Computer Society, 2020, 1777-1786
20. Huihui Yue, Jichang Guo, Xiangjun Yin，MS-DRDNet: Optimization-Inspired Deep Compressive Sensing Network for MRI，Pattern Recongnition and Computer Vision-3rd Chinese Conference(PRCV 2020), Nanjing,China, 2020,382-394
21. Qing Qi, Jichang Guo, Blind Text Images Deblurring based on a Generative Adversarial Network, IET Image Processing, 2019, 13(14):2850-2858
22. Guo CL; Li CY; Guo JC，etc，Hierarchical Features Driven Residual Learning for Depth Map Super-Resolution，IEEE TRANSACTIONS ON IMAGE PROCESSING，2019，28(5):2545-2557
23. 郭继昌，茹丽，郭春乐，基于梯度通道和优化透射率的水下图像复原，吉林大学学报（ 工学版），2020，50(4):1435-1442
24. 郭继昌，何艳红，魏慧文，利用模块化残差网络的图像隐写分析，西安电子科技大学学报，2019，46(1):79-85
25. 郭继昌，吴洁，郭春乐，朱明辉，基于残差连接卷积神经网络的图像超分辨率重构，吉林大学学报(工学版)，2019，49(5):1726-1734
26. 郭继昌, 李重仪, 郭春乐等, 水下图像增强和复原方法研究进展，中国图象图形学报, 2017, 22(3): 273-285.
27. 郭继昌, 李重仪, 张艳等, 面向水下图像的质量评价方法，中国图象图形学报, 2017, 22(1)：1-8.
28. Li, C., Guo, J., & Guo, C. Emerging from Water: Underwater Image Color Correction Based on Weakly Supervised Color Transfer. IEEE Signal Processing Letters, 2018，25(3), 323–327.(高被引论文)
29. Li, CY; Guo, JC; Pang, YW; LightenNet: A Convolutional Neural Network for weakly illuminated image enhancement, PATTERN RECOGNITION LETTERS, 201803, 104:15-22（高被引论文）
30. Li Chongyi, Guo Jichang, Cong Runmin, Pang Yanwei, Wang Bo, “Underwater image enhancement by dehazing with minimum information loss and histogram distribution prior,” IEEE Transactions on Image Processing, 2016, 25(12): 5664-5677. （高被引论文）
31. Li Chongyi, Guo Jichang, Chen Shanji, Tang Yibin, Pang Yanwei, Wang Jian, “Underwater image restoration based on minimum information loss principle and optical properties of underwater imaging,” IEEE International Conference on Image Processing (ICIP), 2016: 1993-1997.
32. C. Li, J. Guo, Y. Pang, S. Chen, and J. Wang, Single underwater image restoration by blue-green channels dehazing and red channel correction, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2016
33. Li Chongyi, Guo Jichang, Wang Bo, Cong Runmin, Zhang Yan, Wang Jian, “Single underwater image enhancement based on color cast removal and visibility restoration,” Journal of Electronic Imaging, 2016, 25(3): 033012-033012.
34. C. Li and J. Guo, Underwater image enhancement by dehazing and color correction, Journal of Electronic Imaging, 2015, 24(3): 033023-033023
35. B. Wang, J. Guo, and Y. Zhang, Hierarchical feature concatenation-based kernel sparse representations for image categorization, The Visual Computer, 2016: 1-17
主要讲授课程：
(1) 软件技术基础（本科生）
(2) 科学计算语言（本科生）
(3) 电子信息工程导论（本科生）
(4) 计算机语音信号处理（硕士生）
其他（社会兼职等）：
《数据采集与处理》、《中国图象图形学报》期刊编委
中国高等教育学会电子教育分会理事，天津通信学会副理事长
