I am a third-year PhD candidate (exp. graduation on 05/2023) in the Imagine research group at École des Ponts ParisTech (ENPC) under the supervision of Mathieu Aubry. Before that, I received my engineering degree in mathematics and computer science from Mines ParisTech.
I am interested in machine learning, computer vision and graphics. My research currently focuses on finding ways to solve computer vision tasks without human annotation, through self-supervised techniques or unsupervised algorithms. Representative papers are highlighted.
We present UNICORN 🦄, an unsupervised framework leveraging cross-instance consistency for high-quality 3D reconstructions from single-view images.
We characterize 3D shapes as affine transformations of linear families learned without supervision, and showcase its advantages on large shape collections.
An unsupervised learning framework to decompose images into object layers modeled as transformations of learnable sprites.
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Last update: May 2022