Rajaei Khatib

I am an Electrical Engineering Ph.D. student at Tel-Aviv University, advised by Prof. Raja Giryes.

My research is in the area of Artificial Intelligence and it focuses on the usage of 3D data. My research goal is to explore new 3D representations, and their integration with Generative AI methods such as Diffusion Models. Our vision is to use this unique integration in order to take the current 3D solutions a step forward.

In the meanwhile, I also serve as a Lecturer for the Python Programming course.

Previously, I obtained a B.Sc. (Cum Laude) and M.Sc. from the department of Computer Science at the Technion, where I was advised by Prof. Michael Elad. My M.Sc. thesis was about unfolding greedy sparse pursuit algorithms into deep neural networks

Publications

TriNeRFLet: A Wavelet Based Triplane NeRF Representation
Rajaei Khatib and Raja Giryes
ECCV 2024
Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond
Rajaei Khatib, Dror Simon and Michael Elad.
JVCIR 2021