Or Litany

Or Litany
orlitany at gmail dot com

I am a postdoctoral researcher at Stanford University working under Prof. Leonidas Guibas. Before that I was a postdoc at FAIR working under Prof. Jitendra Malik. Previously, I was a postdoc at the Technion and a research intern at Microsoft, Intel and Google. I received my PhD from Tel-Aviv University, where I was advised by Prof. Alex Bronstein. I received my B.Sc. in Physics and Mathematics from the Hebrew University under the auspices of “Talpiot”.

My research interests include: 3D deep learning, computational shape analysis and representation learning.

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Invited talks

NEW VoteNet and ImVoteNet
Stanford GCafe Seminar
slides / video

Geometric Deep Learning: Introduction
Deep Learning for Science School
slides / video

Deep Learning for “Exotic” Data Like 3D Meshes and Point-Clouds
San Francisco Deep Learning Meetup
slides / video

Deep Hough Voting for 3D object detection in point clouds
Xerox PARC, NYU, Cornell-Tech, ICCV
slides / video
SOSELETO: A Unified Approach to Transfer Learning and Training with Noisy Labels
ICLR LLD workshop, New Orleans
slides / talk

Workshops / Tutorials

NEW Learning 3D Representations for Shape and Appearance
With: Srinath Sridhar, Leonidas Guibas, Gordon Wetzstein, Shubham Tulsiani, Tanner Schmidt, Vincent Sitzmann
Workshop at ECCV 2020
Deep Learning for Computer Graphics and Geometry Processing
With: Niloy J. Mitra, Iasonas Kokkinos, Leonidas Guibas, Michael Bronstein, Emanuele Rodolà, Federico Monti
Tutorial at Eurographics 2019
Functional Maps: A Flexible Representation for Learning and Computing Correspondence
With: Maks Ovsjanikov, Emanuele Rodolà, Leonidas Guibas
Tutorial at ECCV 2018
Deep Learning and Geometry With: Ron Kimmel, Emanuele Rodolà, Michael Bronstein, Alex Bronstein
Workshop at EUSIPCO 2017

Publications

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