computational imaging

Space-Time Tomographic Reconstruction of Deforming Objects

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B1 L2 R2202

In this thesis, a variety of applications in computer vision and graphics of inverse problems using tomographic imaging modalities will be presented: (i) The first application focuses on the CT reconstruction with a specific emphasis on recovering thin 1D and 2D manifolds embedded in 3D volumes. (ii) The second application is about space-time tomography (iii) Base on the second application, the third one is aiming to improve the tomographic reconstruction of time-varying geometries undergoing faster, non-periodic deformations, by a warp-and-project strategy. Finally, with a physically plausible divergence-free prior for motion estimation, as well as a novel view synthesis technique, we present applications to dynamic fluid imaging which further demonstrates the flexibility of our optimization frameworks

Optimization and Learning in Computational Imaging

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B9 H1 R2322

The Machine Learning Hub Seminar Series presents “Optimization and Learning in Computational Imaging” by Dr. Wolfgang Heidrich, Professor in Computer Science at KAUST. He leads the AI Initiative and is the Director of the KAUST Visual Computing Center. Computational imaging systems are based on the joint design of optics and associated image reconstruction algorithms. Historically, many such systems have employed simple transform-based reconstruction methods. Modern optimization methods and priors can drastically improve the reconstruction quality in computational imaging systems. Furthermore, learning-based methods can be used to design the optics along with the reconstruction method, yielding truly end-to-end learned imaging systems, blurring the boundary between imaging hardware and software.

Jinhui Xiong wins Best Paper Award at VMV 2019

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Fourth-year computer science Ph.D. student Jinhui Xiong won the best paper award at this year’s 24th International Symposium on Vision, Modeling, and Visualization (VMV) 2019.

Yidan Zheng

Ph.D. Student, Computer Science
Yidan is a MS/PhD student in Computer Science at King Abdullah University of Science and Technology since August 2022, under the supervision of Prof. Wolfgang Heidrich in Computational Imaging Group. Education and Early Career Yidan obtained her bachelor’s degree in Measurement and Control Technology and Instrument from University of Science and Technology of China in 2020. Research Interest Yidan is interested in developing novel computational imaging systems in both hardware and software.

Xinge Yang

Ph.D. Student, Computer Science
Xinge Yang is a computer science PhD student at KAUST, working on computational optics and computational imaging.

Qiang Fu

Research Scientist, Computer Science
Qiang Fu is a Research Scientist in the Computational Imaging Group (VCCIMAGING) working with Professor Wolfgang Heidrich at King Abdullah University of Science and Technology (KAUST). Education and Early Career Qiang Fu obtained his bachelor degree in Manufacturing and Design Automation of Machinery from University of Science and Technology of China in 2007. He has a Ph. D. in Optical Engineering from University of Chinese Academy of Sciences (2012). In 2012, Qiang joined the Academy of Opto-Electronics at Chinese Academy of Sciences as an Assistant Research Fellow. After 2 years

Julio Rey Ramirez

Ph.D. Student, Computer Science
Julio Rey Ramirez is a Master student under the supervision of Prof. Wolfgang Heidrich at the Visual Computing Center (VCC) in King Abdullah University of Science and Technology (KAUST). Education and Early Career Julio Rey Ramirez was an electronics engineer from National University of Colombia (UNAL). He worked as laboratory assistant in the lighting testing lab (LABE) at UNAL from 2015 to 2018. Julio Rey Ramirez joined KAUST as a visiting student in 2019, and worked in the programming of machine vision cameras and computational microscopy under the supervision of professor Wolfgang Heidrich

Jinhui Xiong

Ph.D. Student, Computer Science
Jinhui Xiong is a Ph. D. candidate in the Computational Imaging Group (VCCIMAGING) under the supervision of Professor Wolfgang Heidrich at King Abdullah University of Science and Technology (KAUST). Education and Early Career Jinhui Xiong obtained his bachelor degree in Electronic Engineering from City University of Hong Kong (CityU) in Hong Kong in 2015. Then, he joined KAUST and received his masters in Computer Science in 2017. During his bachelor study, he spent two years on CUDA programming for various projects in Dr. Jun Fan’s lab. In 2014, he worked as an assistant researcher at EMC

Guangming Zang

Research Engineer, Computer Science
Guangming Zang is a research engineer in the Computational Imaging Group (VCCIMAGING) under the supervision of Professor Wolfgang Heidrich at King Abdullah University of Science and Technology (KAUST). Education and Early Career Guangming obtained his bachelor degree in Software Engineering from China University of Geosciences in Wuhan, China in 2013. He received his master degree in Computer Science from University of Chinese Academy of Sciences in China. Before joining KAUST, Guangming was a research assistant (2013 – 2014) at The National Space Science Center at Chinese Academy of Sciences