About me

I am Yazeed Alharbi. I am currently working as a research scientist at the National Center for AI (NCAI) where I lead several technical teams from use-case definition to delivery of products.

Most of my work is focused on disentanglement: how deep learning architectures separate between different concepts. Starting with GANs, I worked on how style and content can be separated without complicated losses. This has lead to published work under the supervision of Professor Peter Wonka during my PhD at KAUST. Next, I moved to how language models can aid GANs and diffusion models in disentangling textual concepts from unrelated visual content.

Recent news

[2024] Served as a reviewer for CVPR2024

[2023] Participated in a panel discussion on AI for smart cities at Albaha University

[2023] Served as a reviewer for ICCV2023

[2022] Presented some of our work in NCAI at the global AI summit in Riyadh

[2021] Joined R&D at NCAI as a research scientist

[2020] Paper nominated for best paper award at CVPR2020

[2020] Paper accepted to CVPR2020 for oral presentation

[2019] Paper accepted to CVPR2019