Welcome to my homepage. I am a researcher at Ecole Polytechnique, supported by ERC grant. Previously, I was a Marie Curie Early Stage researcher for about a year in the famous Computer Vision Dept. (Bernt Schiele et al.) at MPI for Informatics, Saarbrucken. Before that, I graduated with a Masters degree in Applied Math with distinction and a formal training in machine learning and computer vision MVA Masters programme
My research interests are centered around large scale learning on collections of 2D images, 3D geometric shapes and large networks or graphs.
Reviewing: Neurips’19,’20,’21, ICML ‘20,’21 ICLR’21, AISTATS’21
Accepted an Invitation to give a talk on ‘Learning based correspondence’ at SGI’21 by MIT
Learning Symmetry aware Canonical Embedding Preprint here
Low Rank Matrix Decomposition on Graphs Preprint here
We got another best paper award Nomination, this time at CVPR 2020! Top 26 out of 6000 submissions.
We got a Best Paper Award Nomination( 7 out of 4000 +) at ICCV 2019.
I gave an invited lecture on deep autoencoders to second year Polytechnique students.
I came back to academia and joined Ecole Polytechnique. (March,2019)
presented Foreground Clustering at Neurips 2018.