Romain Vuillemot

Assistant Professor in Computer Science
Maître de Conférence en Informatique
Department of Math and Computer Science (Math-Info)
École Centrale de Lyon
36 avenue Guy de Collongue
69134 Écully CEDEX
France

LIRIS Laboratory
Laboratoire d’InfoRmatique en Image et Systèmes d’information
CNRS UMR 5205
SICAL team

Research interests

Visualization in data science
Sports data analysis and visualization
Video tracking for situated visualization
Computer-aided design and prototyping

Current Projects

GLACIS - Graphical languages for creating infographics
NEPTUNE - Improving elite swimmers performance
TTVis - Table tennis tactics detection and visualization
AMIGO - Visual analysis of motion platform

Recent Activities

June 2023 I organized the Sciences 2024 Challenge at Ecole Centrale de Lyon gathering +50 participants and 14 student projects on the topic of sports and data science.
Jan. 2023 I presented Swimtrack, a MediaEval Benchmark for swimmers detection and tracking, at the MediaEval 2022 workshop
Ecole Centrale de Lyon is starting a new Bachelor in Data Science. Feel free to apply for the 2023 intake! We are also hiring a new faculty member to teach in this program.
Dec. 2022 Nicolas Jacquelin successfully defended his PhD on Swimmers Detections and Tracking. His slides manuscript is available here and the defense slides here.
Nov. 2022 Liqun Liu successfully defended his PhD on Traffic Data Visualization
Oct. 2022 I organized a tutorial in Sports Data Visualization at the IEEE VIS 2022 conference
Sept. 2022 Aymeric Erades started his PhD on Table Tennis tactics detection and visualization in collaboration with the French Table Tennis Federation (FFTT)
May 2022 PhD Defense of Théo Jaunet on Interactive Visualizations for Deep Learning Interpretability
Sept. 2021 Will start a (half) sabatical year (CRCT CNRS)
July 2021 IEEE Vis’21 paper on VQA visualisations with Théo Jaunet
May 2021 Talked at DEVI seminar on sports analysis & visualization
June 2020 CNRS Journal wrote an article on my work on COVID-19 meta-analysis visualizations.