Saman Motamed

Doctoral Student

Email: [email protected]

About me

I am Saman (Sam) Motamed, a first year PhD student at the Institute for Computer Science, Artificial Intelligence and Technology, Sofia University from April 2023. I am supervised by Prof. Luc Van Gool.

Broadly speaking, my interests revolve around generative vision models, unsupervised learning, and harnessing the power of large vision and language models towards personalised tasks.

Education

KAUST, September 2022 – Feb 2023
Visiting Researcher
Carnegie Mellon University, August 2021 – November 2022
Visiting Researcher
University of Toronto, September 2019 – June 2021
M.S in Medical Science 
University of Toronto, September 2014 – July 2019
H.B.Sc. in Computer Science (With High Distinction)

Awards

Institute of Medical Science, University of Toronto, Open Fellowship Award (Top 5% of department) – 2021

Canada Graduate Scholarship – NSERC – 2020

Publications

Generative Visual Prompt: Unifying Distributional Control of Pre-Trained Generative Models
Chen Henry Wu, Saman Motamed, Shaunak Srivastava, Fernando De La Torre
NeurIPS 2022

RANDGAN: randomized generative adversarial network for detection of COVID-19 in chest X-ray

Saman Motamed, Patrik Rogalla, Farzad Khalvati

Nature Scientific Reports

Data augmentation using Generative Adversarial Networks (GANs) for GAN-based detection of Pneumonia and COVID-19 in chest X-ray images

Saman Motamed, Patrik Rogalla, Farzad Khalvati

Informatics In Medicine Unlocked

Multi-class Generative Adversarial Networks: Improving One-class Classification of Pneumonia Using Limited Labeled Data

Saman Motamed, Farzad Khlvati

IEEE EMBC 2021

Inception-GAN for Semi-supervised Detection of Pneumonia in Chest X-rays

Saman Motamed, Farzad Khalvati

IEEE EMBC 2021