基本信息

郑权  男 硕导 中国科学院软件研究所
电子邮件: zhengquan@iscas.ac.cn
通信地址: 北京市海淀区中关村南四街4号中科院软件所
邮政编码: 100190

研究领域

人工智能,计算机图形学,计算成像

招生信息

欢迎相关专业(包括且不限于AI、CS、SE、CE、Automation、Math、Optics等)的学生报名

招生专业

083500-软件工程,​081203-计算机应用技术,081200-计算机科学与技术

招生方向
光学智能计算,计算摄像,计算机图形学,三维计算机视觉

教育背景

2012-09--2017-07   中国科学院大学   工学博士学位
2008-09--2012-06   大连理工大学   工学学士学位

工作经历

工作简历
2021-11~现在, 中国科学院软件研究所, 副研究员
2019-10~2021-10,德国马克斯普朗克计算机科学研究所, 研究科学家
2017-10~2019-10,美国马里兰大学, 博士后
学术兼职

国际会议:

SIGGRAPH,SIGGRAPH Asia,Eurographics,AAAI,NeurIPS等会议审稿专家。


学术刊物:

Computer & Graphics,Visual Computer, Journal of Computer Graphics Techniques,计算机辅助设计与图形学学报,软件学报,系统仿真学报等期刊审稿专家。


其他:

2023-04~今,中国图象图形学学会三维视觉专委会,委员

出版信息

[1] S. Cui, B. Wang, Q. Zheng. Neural Invertible Variable-degree Optical Aberrations Correction. Optics Express, 2023, 31(9) : 13585-13600.

[2] B. Wang, F. Xu, Q. Zheng. A Survey on Facial Image Deblurring. Computational Visual Media, 2023, 10(1) : 3-25.

[3] S. Cui, F. Xu, X. Tang, Q. Zheng. Model Driven Deep Unfolding Network for Extreme Low-Light Image Enhancement and Denoising. International Joint Conference on Neural Networks, 2023. (IJCNN 2023)

[4] Y. Xia, F. Xu, Q. Zheng. Zero-Shot Adaptive Low Light Enhancement with Retinex Decomposition and Hybrid Curve Estimation. International Joint Conference on Neural Networks, 2023. (IJCNN 2023)

[5] X. Su, Y. Lin, Q. Zheng, F. Wu, C. Zheng, J. Zhao. GSGAN: Learning Controllable Geospatial Images Generation. IET Image Processing, 2022, 17(2) : 401-417.

[6] M. Chu, L. Liu, Q. Zheng, E. Franz, H.-P. Seidel, C. Theobalt, R. Zayer. Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data. ACM Transactions on Graphics (TOG), 2022, 41(4) : 119:1-119:14. (SIGGRAPH 2022)

[7] Q. Zheng, G. Singh, H.-P. Seidel. Neural Relightable Participating Media Rendering. Thirty-fifth Conference on Neural Information Processing Systems, 2021 : 15203-15215. (NeurIPS 2021)

[8] Q. Zheng, V. Babaei, G. Wetzstein, H.-P. Seidel, M. Zwicker, G. Singh. Neural Light Field 3D Printing. ACM Transactions on Graphics (TOG), 2020, 39(6) : 207:1-207:12. (SIGGRAPH ASIA 2020)

[9] X. Meng, Q. Zheng, A. Varshney, G. Singh, M. Zwicker. Real-time Monte Carlo Denoising with the Neural Bilateral Grid. Thirty-first Eurographics Symposium on Rendering, 2020 : 13-24. (EGSR 2020)

[10] Q. Zheng, M. Zwicker. Learning to Importance Sample in Primary Sample Space. Computer Graphics Forum (CGF), 2019, 38(2) : 169-179. (Eurographics 2019)

[11] Y. Liu, C. Zheng, Q. Zheng, H. Yuan. Removing Monte Carlo Noise Using a Sobel Operator and a Guided Image Filter. The Visual Computer, 2018, 34(4) : 589-601.

[12] Y. Cheng, Q. Zheng, J. Peng, P. Lv, C. Zheng. Optical simulation of flying targets using physically based renderer. Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2018, 10697

[13] Q. Zheng, C. Zheng. NeuroLens: Data-Driven Camera Lens Simulation Using Neural Networks. Computer Graphics Forum (CGF), 2017, 36(8) : 390-401. (Eurographics 2017)

[14] Q. Zheng, C. Zheng. Adaptive Sparse Polynomial Regression for Camera Lens Simulation. The Visual Computer, 2017, 33(6) : 715-724.

[15] H. Yuan, C. Zheng, Q. Zheng, Y. Liu. Adaptive Rendering Based on Adaptive Order Selection. The 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017, pp. 37-45.

[16] Q. Zheng, C. Zheng. Adaptive Light Paths Generation through Full Lens Model. The 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 2016, pp. 1846-1851.

[17] Q. Zheng, C. Zheng. Visual Importance-Based Adaptive Photon Tracing . The Visual Computer, 2015 , 31(6) : 1001-1010.

[18] Q. Zheng, C. Zheng. Photon shooting with programmable scalar contribution function. The 8th International Conference on Image and Graphics, 2015, vol. 9219, pp. 80-93.



科研活动

   
科研项目

(1) 面向无人机*********, 国家任务/专项项目, 负责人, 2022-10--2024-09

指导学生

   
已毕业学生

孟晓旭(2020已毕业) PhD (联合指导)

在学学生

王惜 硕士研究生 081200-计算机科学与技术