FICUS: Few-shot Image Classification with Unsupervised Segmentation
Lys, et al. (2024). "FICUS: Few-shot Image Classification with Unsupervised Segmentation." EUSIPCO.
CV
Education
- Engineering degree, IMT Atlantique, 2021-present
- Mathematical and Computational Engineering specialization
- Machine Learning, Deep Learning, Computer Vision, Signal Processing, Optimization
- M.Sc. Engineering Sciences and Applications, University of Rennes 1, 2023-2024
- Academic exchange, University of Technology Sydney, 2023
Work experience
- April 2024 - Present: Research Intern
- Criteo AI Lab, Paris
- Studied diffusion models for image generation
- Supervisor: Jaspreet Sandhu, Thibaut Issenhuth, Ludovic Dos Santos
- Summer 2023: Research Intern
- BRAIn team, IMT Atlantique
- Fine-tuned SAM, studied data augmentation techniques
- Supervisor: Bastien Pasdeloup
- February 2022: Developer Intern
- French Polynesia’s government IT Department
- Development of a Web application for network management, automation of database migrations
Skills
- Computer Science
- Python, SQL, Java, R, Julia, C++, Matlab, Jupyter
- Machine Learning
- Numpy, Pandas, sklearn, statistical and probabilistic models
- Deep Learning
- PyTorch, Tensorflow, Keras, CNNs and Vision Transformers training
- Distributed operations
- Hadoop, Spark, multi-gpu training (PyTorch distributed, Accelerate, NCCL)
- Soft Skills
- Agile methods, communication, applied research
- Languages
- English (C1, IELTS 7.5), Mandarin (B2.1, HSK3 equivalent, intensive summer study at Beijing Language and Culture University), basic Spanish