基本信息

郑权  中国科学院软件研究所

电子邮件: zhengquan [at] iscas [dot] ac [dot] cn

通信地址: 北京市海淀区中关村南四街4号

邮政编码: 100190

研究领域

计算机图形学,三维计算机视觉计算成像人工智能

招生信息

面向相关专业(包括且不限于人工智能、软件工程、计算机科学等)招收研究生。欢迎热爱学习、勤奋踏实、对科研有兴趣、编程能力扎实的有志学生联系报名。

研招专业

081200-计算机科学与技术085405-软件工程083500-软件工程,081203-计算机应用技术

招生方向

​计算机图形学,三维计算机视觉计算摄像

教育背景

2012-09--2017-07   中国科学院大学   博士学位
2008-09--2012-06   大连理工大学   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
学术服务

2023-04~今,中国图像图形学会三维视觉专委会,委员

2023-11~今,系统仿真学报,青年编委,青年副主编

2026-01~今,中国仿真学会复杂系统建模与仿真专委会,委员

出版信息


发表论文

[1] P. Wu, H. Weng, Q. Zheng*, Y. Zhan, et al. CLIP-Guided Unsupervised Semantic-Aware Exposure Correction. The Fifty-first International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2026.

[2] Y. Zhang, Y. Wang, Q. Zheng*. ReliableGS: Geometric Reliability-Regularized Gaussian Splatting for Transparent Surface Reconstruction. The Forty-third Computer Graphics International Conference (CGI), 2026.

[3] X. Wang, Q. Zheng. LightLLIE: Lightweight Low-Light Image Enhancement via Dual Attention and Re-parameterization. 2025 International Joint Conference on Neural Networks (IJCNN), 2025.

[4] X. Wang, Q. Zheng. Revitalize Supervised Low-Light Image Enhancer: Learning Source-free Fast Scene Adaptation. The Twenty-first International Conference on Intelligent Computing, 2025.

[5] S. Zhang, Y. Zhang, Q. Zheng, R. Ma, et al. 3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation. The Thirty-fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.

[6] B. Wang, F. Xu, Q. Zheng. A Survey on Facial Image Deblurring. Computational Visual Media, 10(1), 2024.

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

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

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

[10] X. Su, Y. Lin, Q. Zheng, F. Wu, et al. GSGAN: Learning Controllable Geospatial Images Generation. IET Image Processing, 17(2), 2022.

[11] M. Chu, L. Liu, Q. Zheng, E. Franz, et al. Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data. ACM Transactions on Graphics (TOG), 41(4), SIGGRAPH 2022.

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

[13] Q. Zheng, V. Babaei, G. Wetzstein, H.-P. Seidel. Neural Light Field 3D Printing. ACM Transactions on Graphics (TOG), 39(6), SIGGRAPH Asia 2020.

[14] X. Meng, Q. Zheng, A. Varshney, G. Singh, et al. Real-time Monte Carlo Denoising with the Neural Bilateral Grid. The Thirty-first Eurographics Symposium on Rendering (EGSR), 2020.

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

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

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

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

[19] Q. Zheng, C. Zheng. Adaptive Sparse Polynomial Regression for Camera Lens Simulation. The Visual Computer, 33(6), 2017.

[20] H. Yuan, C. Zheng, Q. Zheng, Y. Liu. Adaptive Rendering Based on Adaptive Order Selection. The Twelfth International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017.

[21] Q. Zheng, C. Zheng. Adaptive Light Paths Generation through Full Lens Model. The Twelfth International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 2016.

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

[23] Q. Zheng, C. Zheng. Photon shooting with programmable scalar contribution function. The Eighth International Conference on Image and Graphics, 2015.

[24] Q. Zheng, C. Zheng. 视点重要度驱动的自适应光子追踪. 计算机辅助设计与图形学学报, 27(12), 2015.

[25] Q. Zheng, C. Zheng, et al. 镜头重影效果的真实感绘制. 计算机辅助设计与图形学学报, 27(5), 2015.

出版专著

(1)光学成像效果绘制,科学出版社,2024-01,第2作者

指导学生

   
已指导学生

王惜    硕士研究生 081200-计算机科学与技术

现指导学生

​张永乐 硕士研究生 085405-软件工程

汪宇豪 硕士研究生 081200-计算机科学与技术