Research Interests
My research interests focus on deep learning, particularly generative models, and their applications in various domains such as computer vision. I am particularly interested in developing novel deep learning algorithms to enhance human motion encoding.
Current Projects
Human Motion Generation
Description: This project involves developing deep learning models for human motion generation from text (text to motion).
Collaborators: Dr. Benjamin Allaert, Dr. Hazem Wannous
Status: Ongoing
Human Motion Encoding
Description: This project focuses on creating deep learning for enhanced human motion encoding.
Collaborators: Dr. Benjamin Allaert, Dr. Hazem Wannous
Status: Ongoing
Events & Challenges
Data Challenge
Description: Implementation and Supervising of Data Challenge on Hand Gesture Recognition.
Year: 2022
Institution: IMT Nord Europe, Lille, France
Data Challenge
Description: Implementation and Supervising of Data Challenge on Facial Gesture Recognition.
Year: 2023
Institution: IMT Nord Europe, Lille, France
Data Challenge
Description: Implementation and Supervising of Data Challenge on Facial Gesture Spotting.
Year: 2024
Institution: Centrale Lille, Lille, France
IT Hackathon
Description: Supervising of IMT & TUM GreenHack IT Hackathon 2nd Edition.
Year: 2024
Institution: Télécom Paris, Paris, France
Young Researchers Seminars
Description: Organization of young researchers seminars at the IMT Nord Europe.
Year: 2024
Institution: IMT Nord Europe, Lille, France