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

研招专业

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

招生方向

光学智能计算,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   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


发表论文

[1] 3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation. The Thirty-Fourth IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, 第3作者.

[2] Neural Invertible Variable-degree Optical Aberrations Correction. Optics Express, 31(9), 2023, 通讯作者.

[3] A Survey on Facial Image Deblurring. Computational Visual Media, 10(1), 2024, 通讯作者.

[4] Model Driven Deep Unfolding Network for Extreme Low-Light Image Enhancement and Denoising. International Joint Conference on Neural Networks, 2023, 通讯作者.

[5] Zero-Shot Adaptive Low Light Enhancement with Retinex Decomposition and Hybrid Curve Estimation. International Joint Conference on Neural Networks, 2023, 通讯作者.

[6] GSGAN: Learning Controllable Geospatial Images Generation. IET Image Processing, 17(2), 2022, 第3作者.

[7] Physics Informed Neural Fields for Smoke Reconstruction with Sparse Data. ACM Transactions on Graphics (TOG), 41(4), SIGGRAPH 2022, 第3作者.

[8] Neural Relightable Participating Media Rendering. The Thirty-Fifth Conference on Neural Information Processing Systems (NeurIPS), 2021, 第1作者.

[9] Neural Light Field 3D Printing. ACM Transactions on Graphics (TOG), 39(6), SIGGRAPH Asia 2020, 第1作者.

[10] Real-time Monte Carlo Denoising with the Neural Bilateral Grid. The Thirty-First Eurographics Symposium on Rendering (EGSR), 2020, 第2作者.

[11] Learning to Importance Sample in Primary Sample Space. Computer Graphics Forum (CGF), 2019, 38(2), Eurographics 2019, 第1作者.

[12] Removing Monte Carlo Noise Using a Sobel Operator and a Guided Image Filter. The Visual Computer, 34(4), 2018, 第3作者.

[13] Optical simulation of flying targets using physically based renderer. The Fourth Seminar on Novel Optoelectronic Detection Technology and Application, 2018, 第2作者.

[14] NeuroLens: Data-Driven Camera Lens Simulation Using Neural Networks. Computer Graphics Forum (CGF), 36(8), Eurographics 2017, 第1作者.

[15] Adaptive Sparse Polynomial Regression for Camera Lens Simulation. The Visual Computer, 2017, 33(6), 第1作者.

[16] Adaptive Rendering Based on Adaptive Order Selection. The Twelfth International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2017, 第3作者.

[17] Adaptive Light Paths Generation through Full Lens Model. The Twelfth International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery, 2016, 第1作者.

[18] Visual Importance-Based Adaptive Photon Tracing. The Visual Computer, 31(6), 2015, 第1作者.

[19] Photon shooting with programmable scalar contribution function. The Eighth International Conference on Image and Graphics, 2015, 第1作者.


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

张永乐  硕士研究生 085405-软件工程