Summary
Sebastian Dille is a PhD researcher and research assistant at Simon Fraser University with six years of experience at the intersection of computational photography, HDR reconstruction, and deep learning for VFX and image editing. His work includes peer-reviewed contributions to ECCV and CVPR on single-image HDR, class-agnostic segmentation, and high-resolution monocular depth enhancement, and he spent a summer at Netflix researching image fidelity and scene-referred reconstruction. Prior to academia he supervised digital postproduction and worked as a compositor, giving him rare end-to-end expertise from film production to cutting-edge ML research. Based in Vancouver, he blends practical production pipelines with rigorously evaluated algorithms, and his background suggests a knack for translating cinematic problems into reproducible, high-impact research.
6 years of coding experience
Bachelor of Engineering (B.Eng.), Audiovisuelle Medien, 1,6, Bachelor of Engineering (B.Eng.), Audiovisuelle Medien, 1,6 at Media University Stuttgart
Master of Engineering (M.Eng.), Media and Imaging Technology, 1,6, Master of Engineering (M.Eng.), Media and Imaging Technology, 1,6 at TH Köln
Doctor of Philosophy - PhD, Computing Science, Doctor of Philosophy - PhD, Computing Science at Simon Fraser University
English, Spanish, French