Qiang Fu is a Research Scientist at King Abdullah University of Science and Technology (KAUST) in the Computational Imaging Group at the Visual Computing Center, working with Prof. Wolfgang Heidrich.
Qiang Fu’s research interests lie in the multidisciplinary research areas of computational imaging and display that develops emerging and fast-growing visual computing technologies by integrating state-of-the-art techniques in computer vision, computer graphics, optics, machine learning, inverse problem, and micro/nano-fabrication. Such developing technologies could harness applications in various areas, including photography, machine vision, virtual/mixed reality, underwater imaging, medical imaging, microscopy, endoscopy, remote sensing, and so on.
Feel free to contact me by email: email@example.com or firstname.lastname@example.org
PhD in Optical Engineering, 2012
University of Chinese Academy of Sciences
BSc in Mechanical Engineering, 2007
University of Science and Technology of China
March 12, 2021 A paper Transfer Deep Learning for Reconfigurable Snapshot HDR Imaging Using Coded Masks was published by Computer Graphics Forum.
March 6, 2021 A paper Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging was accepted by CVPR 2021.
March 3, 2021 A paper Linear Polarization Demosaicking for Monochrome and Color Polarization Focal Plane Arrays was published by Computer Graphics Forum.
February 1, 2021 A paper Robust statistical phase-diversity method for high-accuracy wavefront sensing was published by Optics and Lasers in Engineering.
December 13, 2020 A paper Upgrading the Gemini Planet Imager calibration unit with a photon counting focal plane wavefront sensor was accepted by SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems VII.
December 13, 2020 A paper Optical design and preliminary results of NEW EARTH, first Canadian high-contrast imaging laboratory test bench was accepted by SPIE Astronomical Telescopes + Instrumentation, Adaptive Optics Systems VII.
August 20, 2020 A poster Reflection Removal via Realistic Training Data Generation was accepted as a poster by SIGGRAPH 2020.
March 18, 2020 A paper Learning Rank-1 Diffractive Optics for Single-shot High Dynamic Range Imaging was accepted as an oral paper by Computer Vision and Pattern Recognition (CVPR) 2020.
September 25, 2019 A paper Quantitative Phase and Intensity Microscopy Using Snapshot White Light Wavefront Sensing was accepted and published on Nature Scientific Reports.
August 30, 2019 Two papers Reconfigurable HDR Reconfigurable Snapshot HDR Imaging Using Coded Masks and Inception Network and Polarization Demosaicking for Monochrome and Color Polarization Focal Plane Arrays were accepted by the 24th International Symposium on Vision, Modeling and Visualization (VMV 2019).
June 24, 2019 A paper A model for classical wavefront sensors and snapshot incoherent wavefront sensing was accepted and presented by OSA Computational Optical Sensing and Imaging in Munich.
March 23, 2019 A paper Compact Snapshot Hyperspectral Imaging with Diffracted Rotation was conditionally accepted to SIGGRAPH 2019.
August 15, 2018 A paper Megapixel Adaptive Optics: Towards Correcting Large-Scale Distortions in Computational Cameras was presented at SIGGRAPH 2018 in Vancouver.