Théo Ladune
Scholar

Théo Ladune

Google Scholar ID: sp2hQtcAAAAJ
Ph. D., Video Coding Researcher @ Orange
Image and Video CodingDeep Learning
Citations & Impact
All-time
Citations
309
 
H-index
9
 
i10-index
9
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Published multiple papers on Cool-chic at IEEE DCC 2024, ICCV 2023, IEEE MMSP 2023; Two papers accepted at the Challenge of Learned Image Coding @ CVPR 2021 with one winning the challenge; Received the best paper award @ IEEE MMSP 2020.
Research Experience
  • Current work focuses on Cool-chic, a lightweight neural image & video codec based on overfitting.
Education
  • PhD in signal processing from the University of Rennes, France, defended in October 2021.
Background
  • Research interests include image/video coding using learning-based methods.
Miscellany
  • Personal interests not mentioned.
Co-authors
0 total
Co-authors: 0 (list not available)