Summary
Kai Cui is a Staff Engineer at Qualcomm with eight years of experience specializing in color image/video processing and compression, grounded in a Dr.-Ing. from TUM. He develops ML and deep-learning solutions for inverse problems across camera pipelines and ISPs, including demosaicking, denoising, super-resolution, and neural in-loop filtering that augment conventional codecs. His work spans both hybrid approaches—combining traditional video coding with neural enhancements—and end-to-end learned compression systems, pushing video coding capabilities beyond VVC. A seasoned researcher and mentor, he supervised over 15 theses during his PhD and brings practical R&D experience from academia to industry in Bavaria. Notably, his profile reflects a rare blend of deep theoretical grounding and hands-on engineering for production-grade video coding R&D.
8 years of coding experience
10 years of employment as a software developer
Doktor der Ingenieurwissenschaften (Dr.-Ing) Image/video processing and compression, Doktor der Ingenieurwissenschaften (Dr.-Ing) Image/video processing and compression at Technical University of Munich
Master's degree Electrical Electronics and Communications Engineering, Master's degree Electrical Electronics and Communications Engineering at Harbin Institute of Technology