Published in Transactions on Machine Learning Research (TMLR), 2024
Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus
This paper delineates good practices for leveraging current large pretrained visual models to train a small model on a specific task.
Published in IEEE / CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023
Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal
This paper proposes a method for automatically learning optimal data augmentation policies.
Published in arXiv preprint, 2024
Juliette Marrie, Romain Ménégaux, Michael Arbel, Diane Larlus, Julien Mairal
This paper proposes an efficient, learning-free approach for transferring 2D visual representations into 3D Gaussian Splatting scenes.