Simon Perche
I am currently a PhD student in computer graphics at LIRIS laboratory in France since October 2021. My thesis is about virtual worlds’ authoring and creation. Virtual worlds are frequently used in the entertainment industry (video games, movies) to provide users with a unique and extraordinary experience. My work focuses on application of deep-learning methods to the creation or edition of natural landscapes, terrain, vegetation and all elements composing a virtual world, in order to facilitate artists’ workflow.
I am part of the Ampli project (Learning and Inverse Procedural Modeling for Authoring Large Virtual Worlds) which aims to propose high-level techniques to assist artists. This project is in collaboration with Ubisoft Paris, University of Cape Town and the CIRAD. Within the LIRIS, I am a member of the research team Arches.
Information and contact
Publications
All my publications, published in peer-reviewed conferences or journals.
Article - Data-Augmentation for Deep Learning Based Remote Photoplethysmography Methods
Article - An assessment of algorithms to estimate respiratory rate from the remote photoplethysmogram
Experience
Final year internship
Physiological signals analysis and processing
- Estimation of heart rate remotely using Deep Learning (PyTorch)
Engineer internship
Physiological signals analysis and processing
- Physiological signals processing to determine stress state
- Respiratory rate state of the art review
- Two months business trip to Tokyo