Sina Honari

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I am a postdoctoral researcher in the computer vision lab (CVlab) at EPFL working with Pascal Fua and Mathieu Salzmann. I completed my PhD in 2019 at Mila and University of Montreal under supervision of Christopher Pal and Pascal Vincent. I held a short-term postdoctoral position at Mila and Polytéchnique Montréal with Christopher Pal before joining CVlab.

My broad research domains are developing machine learning and deep learning techniques for computer vision problems. In particular, I am interested in developing semi-supervised, self-supervised, and unsupervised learning techniques, by leveraging task-related, computer-vision, or auxiliary priors. My other areas of interest are multi-view geometry, 3D modelling, generative networks, and anomaly detectin. My goal is to make deep learning techniques applicable to problems where few or no labelled data exist.

During my studies, I interned at Morgan Stanely as a trade technology analyst and at NVIDIA’s Learning & Perception Research team (led by Jan Kautz) as a deep learning researcher. My PhD was partially funded by Fonds de Recherche du Québec - Nature et Technologies (FRQNT).