Depth and transient imaging records a more figurative world. With my work on end-to-end design of computational camera from the optics to recovery algorithms, the way to record more are expanded.
- B.S., Optical Information Science and Technology, Huazhong University of Science and Technology, Wuhan, China, 2015
- M.S., Electrical Engineering, KAUST, Thuwal, Saudi Arabia, 2017
Honors & Awards
- The ABU Asia-Pacific Robot Contest (ABU Robocon), 1st Rank Award, China, 2015
- National Undergraduate Electric and Electronic Contest, 2nd Rank Award, China, 2013
- IEEE student Membership
- ACM student Membership
- CVF student Membership
Qilin Sun 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
Qilin Sun obtained his bachelor degree in Optical Information Science and Technology from Huazhong University of Science and Technology in Wuhan, China in 2015. After that, he joined KAUST and received his master degree in Electrical Engineering in 2017.
Qilin is interested in Computational photography, Time-of-flight and transient imaging, HDR imaging, Optimization, Deep learning, nanofabrication, Optics and robotics. He’s currently focusing on end-to-end design of computational camera with jointly designing optics and recovery algorithms.
Honors and Awards
Qilin Sun was awarded the 2nd award in the National Undergraduate Electric and Electronic Contest in China, 2013. In 2015, he won the 1st rank award in the ABU Asia-Pacific Robot Contest (ABU Robocon) in China.
Qilin Sun has many publications in his field of research. The most recent paper is titled “Depth and Transient Imaging with Compressive SPAD Array Cameras.” By Qilin Sun, X. Dun, Y. Peng and W. Heidrich. This paper was published in Computer Vision and Pattern Recognition (CVPR) Conference at IEEE in 2018.