ProfessorsProfessors of Université de NantesYoann Baveye

Yoann Baveye

Université de Nantes

H-index: 13

Europe-France

About Yoann Baveye

Yoann Baveye, With an exceptional h-index of 13 and a recent h-index of 11 (since 2020), a distinguished researcher at Université de Nantes, specializes in the field of Affective Computing, Computer Vision, Image Processing, Machine learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

A framework to map vmaf with the probability of just noticeable difference between video encoding recipes

2020 Index IEEE Transactions on Multimedia Vol. 22

Towards better quality assessment of high-quality videos

Rate-distortion video coding and uncertainties: to be blindly chasing marginal improvement or to be greener

Towards perceptually-optimized compression of user generated content (ugc): Prediction of ugc rate-distortion category

Yoann Baveye Information

University	Université de Nantes
Position	R&D engineer Capacités
Citations(all)	1027
Citations(since 2020)	605
Cited By	659
hIndex(all)	13
hIndex(since 2020)	11
i10Index(all)	19
i10Index(since 2020)	13
Email	Access Email
University Profile Page	Université de Nantes
Google Scholar	View Google Scholar Profile

Yoann Baveye Skills & Research Interests

Affective Computing

Computer Vision

Image Processing

Machine learning

Top articles of Yoann Baveye

Title	Journal	Author(s)	Publication Date
A framework to map vmaf with the probability of just noticeable difference between video encoding recipes		Jingwen Zhu Suiyi Ling Yoann Baveye Patrick Le Callet	2022/6/26
2020 Index IEEE Transactions on Multimedia Vol. 22	IEEE Transactions on Multimedia	S Agethen X Alameda-Pineda S Amini P An F Angelini ...	2020/12
Towards better quality assessment of high-quality videos		Suiyi Ling Yoann Baveye Deepthi Nandakumar Sriram Sethuraman Patrick Le Callet	2020/10/16
Rate-distortion video coding and uncertainties: to be blindly chasing marginal improvement or to be greener		Suiyi Ling Yoann Baveye Patrick Le Callet	2020/8/21
Towards perceptually-optimized compression of user generated content (ugc): Prediction of ugc rate-distortion category		Suiyi Ling Yoann Baveye Patrick Le Callet Jim Skinner Ioannis Katsavounidis	2020/7/6