Emmanuelle Salin
Dr. Emmanuelle Salin
Department Artificial Intelligence in Biomedical Engineering (AIBE)
Lehrstuhl für Maschinelles Lernen und Datenanalytik
- Email: emmanuelle.salin@fau.de
| since 06/2024 | PostDoc and Group Leader
Machine Learning and Data Analytics Lab, |
| 2020 – 2023 | Ph.D. in Multimodal Vision Language Machine Learning, Aix Marseille University, France. Supervisors: Benoit Favre and Stephane Ayache |
| 2016 – 2020 | Master of Engineering at CentraleSupélec, Paris Saclay University, France |
| 2020 (6 months) | R&D Intern in the Data Science team at Dassault Systèmes, Vélizy-Villacoublay, France |
| 2019 (6 months) | R&D Intern at Xbrain, Menlo Park, USA |
-
Center for AI in Medicine
(Own Funds)
Term: since 1. May 2024
2023
- Salin E., Ayache S., Favre B.:
Towards an Exhaustive Evaluation of Vision-Language Foundation Models
2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 (Paris, 2. October 2023 - 6. October 2023)
In: Proceedings - 2023 IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2023 2023
DOI: 10.1109/ICCVW60793.2023.00041
BibTeX: Download
2022
- Nikolaus M., Salin E., Ayache S., Fourtassi A., Favre B.:
Do Vision-and-Language Transformers Learn Grounded Predicate-Noun Dependencies?
2022 Conference on Empirical Methods in Natural Language Processing (Abu Dhabi, 7. December 2022 - 11. December 2022)
In: Yoav Goldberg, Zornitsa Kozareva, Yue Zhang (ed.): Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, Abu Dhabi: 2022
DOI: 10.18653/v1/2022.emnlp-main.100
BibTeX: Download - Salin E., Farah B., Ayache S., Favre B.:
Are Vision-Language Transformers Learning Multimodal Representations? A Probing Perspective
In: Proceedings of the AAAI Conference on Artificial Intelligence 36 (2022), p. 11248-11257
ISSN: 2374-3468
DOI: 10.1609/aaai.v36i10.21375
BibTeX: Download
- Arijana Bohr, Emmanuelle Salin: DigiLut Challenge (2nd place) (Health Data Hub) – 2024
Machine Learing for Time Series WS 24/25
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Year |
Student |
Title |
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2024/25 |
Synthetic data for clinical machine learning |
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|
2024/25 |
Semantic annotation, topic, and similarity analysis of a large corpus of clinical documentation forms |
|
|
2024/25 |
Ziheng Dai |
Differential analysis of multi-modal omics data from IBD mouse models (Project collaboration with Prof. Dr. David Blumenthal- Project Biomedical Network Science) |
|
2024/25 |
Comparing Performance and Transparency of Multimodal Foundation Models in Healthcare (Master’s Thesis) |
|
|
2024/25 |
Automated Pose Estimation of Mice Paws |
|
|
2024/25 |
Automated Tracking and Action Recognition for Mice |