Rupayan MALLICK - Admis au titre de docteur

Adresse Professionnelle
Office 273, LaBRI, Domaine Universitaire, 351, Cours de la Libération, 33405
TALENCE FRANCE
rupayanm13@gmail.com
rupayan.mallick@u-bordeaux.fr

Projet professionnel :

Teacher/researcher, higher education teaching personnel
Researcher within an academic field
Researcher within a company, R&D in the private sector
Steering research and innovation, managing innovative projects, steering innovative structures
Work relating to research assistance and support, innovation and promotion, developing innovative Spin-Offs and Start-Ups
Scientific mediation, scientific communication and journalism, scientific edition, international relations

Techniques maîtrisées :
Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning, Image Processing, Signal Processing.

Doctorat Informatique

Thèse soutenue le 20 octobre 2023 - Université de Bordeaux

Ecole doctorale : Mathématiques et Informatique

Sujet : Apprentissage Profond explicable Application sur les données multimodales

Mots-clés de la thèse : Deep-Learning,Multimodal Learning,Explainable AI,

Direction de thèse : Jenny BENOIS-PINEAU

Co-direction de thèse : Akka ZEMMARI

Unité de recherche : LaBRI - Laboratoire Bordelais de Recherche en Informatique UMR 5800 - Talence
Intitulé de l'équipe : Images et Son

Master - IMAGE PROCESSING AND COMPUTER VISION

obtenu en août 2020 - Université de Bordeaux

Production scientifique

- Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Thinhinane Yebda, Hélène Amieva, Laura Middleton 2022. A Hybrid Transformer Network for Detection of Risk Situations on Multimodal Life-Log Health Data Proceedings of the 3rd ACM Workshop on Intelligent Cross-Data Analysis and Retrieval, ICMR 2022, 22-26, https://dl.acm.org/doi/abs/10.1145/3512731.3534212
- Rupayan Mallick,Thinhinane Yebda, Jenny Benois-Pineau, Akka Zemmari, Marion Pech and Helene Amieva 2022. Detection of Risky Situations for Frail Adults with hybrid Neural Networks on Multimodal Health Data IEEE Multimedia, 8, https://ieeexplore.ieee.org/abstract/document/9699016
- Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari 2022. I Saw: A Self-Attention Weighted Method for Explanation of Visual Transformers 2022 IEEE International Conference on Image Processing (ICIP), 3271 - 3275, https://ieeexplore.ieee.org/document/9897347
- Rupayan Mallick, Jenny Benois-Pineau, Akka Zemmari, Marion Pech, Thinhinane Yebda, Hélène Amieva, Laura Middleton 2022. Pooling Transformer for Detection of Risk Events in In-The-Wild Video Ego Data 26th International Conference on Pattern Recognition, 2022, 8, n.a
- Mallick Rupayan, Yebda Thinhinane, Benois-Pineau Jenny, Zemmari Akka, Pech Marion, Amieva Helene. 2021. A GRU neural network with attention mechanism for detection of risk situations on multimodal lifelog data. 2021 International Conference on Content-Based Multimedia Indexing (CBMI), (IEEE), 6, https://ieeexplore.ieee.org/abstract/document/9461910

Langues Vivantes : Français B1 - Intermédiaire - Anglais C2 - Maternel - Bengali C2 - Maternel

Dernière mise à jour le 7 septembre 2023