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Published in CAp, 2022
Recommended citation: "Estimation Contrastive de la Similarité pour un Apprentissage Flou Auto-Supervisé" Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu; Conférence sur l’Apprentissage Automatique (CAp), 2022
Published in WACV, 2023
Recommended citation: "Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning" Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault, Stéphane Canu; Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023, pp. 2706-2716
Published in arXiv, 2023
Recommended citation: "COMEDIAN: Self-Supervised Learning and Knowledge Distillation for Action Spotting using Transformers" Julien Denize, Mykola Liashuha, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault; arXiv:abs/2309.01270, 2023
Published in MVAP, 2023
Recommended citation: "Similarity Contrastive Estimation for Image and Video Soft Contrastive Self-Supervised Learning" Julien Denize, Jaonary Rabarisoa, Astrid Orcesi, Romain Hérault; Machine Vision and Applications, 2023
Published:
Speaker for the DATAAI institute at the Workshop Franco-Allemand Computer Vision that brought together German and French researchers on various subjects. I presented our work Similarity Contrastive Estimation for Self-Supervised Soft Contrastive Learning, later published.
Tutorial, CEA List, SIALV Laboratory, 2022
Taught how to effectively use the internal HPC cluster to optimize Deep Learning experiments.
Course Lecturer, CentraleSupélec, Université Paris-Saclay, 2022
The course was taking place in the M2 Big Data Management and Analytics (BDMA) and taught in English as the students were all registered to Erasmus or Erasmus Mundus.