Or Perel

I will be joining the NVIDIA Toronto AI Lab research group on November 2021. I recently worked as an Applied Scientist at Amazon Rekognition, where I researched deep learning solutions for computer vision problems. Before that I was a Research Engineer at Autodesk. Previously I was a System Architect and a Software Engineer at Ofek, IAF. I’m a M.Sc. graduate of Computer Sciences in Tel Aviv University, under the supervision of Prof. Daniel Cohen-Or. I received my B.Sc. in Electrical Engineering & Computer Sciences from Tel Aviv University. I am also a Mamram Alumni.

My research interests are in computer vision & graphics, and include 3D deep learning, neural implicit functions and document analysis. I am also a Geometric Algebra enthusiast.

Publications

  1. Mesh Draping: Parametrization-Free Neural Mesh Transfer
    Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, and Daniel Cohen-Or
    arxiv 2021
  2. SAPE: Spatially-Adaptive Progressive Encoding for Neural Optimization
    Amir Hertz, Or Perel, Raja Giryes, Olga Sorkine-Hornung, and Daniel Cohen-Or
    NeurIPS 2021
  3. Learning Multimodal Affinities for Textual Editing in Images
    Or Perel, Oron Anschel, Omri Ben-Eliezer, Shai Mazor, and Hadar Averbuch-Elor
    Transaction on Graphics, Presented at SIGGRAPH 2021
  4. Can You Read Me Now? Content Aware Rectification Using Angle Supervision
    Amir Markovitz, Inbal Lavi, Or Perel, Shai Mazor, and Roee Litman
    In ECCV 2020
  5. Best Paper
    READ: Recursive Autoencoders for Document Layout Generation
    Akshay Gadi Patil, Omri Ben-Eliezer, Or Perel, and Hadar Averbuch-Elor
    In CVPR Text and Documents in the Deep Learning Era Workshop 2020