Youssef Alami Mejjati

I'm a machine learning engineer, with a passion for computer vision and graphics.

About me

About me

Hi there, I am Youssef Alami Mejjati, a final year PhD candidate in the university of Bath, UK, and a recipient of the Marie Curie Fire fellowship. I am supervised by Dr Kwang In Kim, Dr James Tompkin and Prof Darren Cosker.

I am particularly interested in facilitating the image generation and editing pipelines for artists, professionals and practitioners.

Currently, advanced image creation requires professional software, human expertise and a lot of time. As a consequence, the creativity of many individuals cannot be seamlessly expressed. My goal is to solve this through AI powered algorithms allowing users to express their ideas and imagination in a controllable manner with only few clicks.

My hobbies include:
Hiking🏔, Travelling🛬, Geography🗺, Running🏃, Climbing🧗‍, Tennis🎾.

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Look here! A parametric learning based approach to redirect visual attention.

Youssef Alami Mejjati, Celso F. Gomez, Kwang In Kim, Eli Shechtman, Zoya Bylinskii

European Conference on Computer Vision 2020 (ECCV 2020)

Paper Project page Code

Unsupervised Attention-Guided Image to Image Translation.

Youssef Alami Mejjati, Christian Richardt, James Tompkin, Darren Cosker, Kwang In Kim

Conference on Neural Information Processing Systems 2018 (NeurIPS 2018)

Paper Code

Generating object Stamps.

Youssef Alami Mejjati, Zejiang Shen, Michael Snower, Aaron Gokaslan, Oliver Wang, James Tompkin, Kwang In Kim

CVPR workshop: AI for content creation 2020 (AI4CCW 2020)

Paper Code

Multi-Task Learning by Maximizing Statistical Dependence.

Youssef Alami Mejjati, Darren Cosker, Kwang In Kim

Conference on Computer Vision and Pattern Recognition 2018 (CVPR 2018)




University of Bath

PhD, Computer Science

Researching image editing and synthesis through generative adversarial networks.

Supervised by: Dr Kwang In Kim, Dr James Tompkin, Prof Darren Cosker.


École Polytechnique

Data Science summer school

One week of lectures from world leader scientists in the machine learning community.


Universidad Autónoma de Madrid

Machine learning summer school

Two intensive weeks of machine learning lectures given by leading scientists.



International Computer Vision Summer School

One week of lectures from world leaders in computer vision and machine learning.


Telecom SudParis

M.Sc and undergraduate in applied mathematics and statistics

4 years studying machine learning and statistical analysis for pattern recognition.

Supervised by: Prof Mounir El Yacoubi and Dr Jérémie Jakubowicz.


Lycée Dumont d'Urville

French preparatory classes (CPGE)

2 years of intense STEM based studies to prepare for admission exams to Top engineering schools in France.



Adobe Research

Research Intern

Designed and implemented an algorithm to redirect visual attention in photographs. Published in ECCV 2020 proceedings, and is patent pending.

Supervised by: Dr Eli Shechtman and Dr Zoya Bylinskii.


University of Bath

Teaching assistant

CM50249: Visual understanding 2.

CM50264: Machine Learning 1.

CM50269: Neural Computation.


Dassault Systemes

Research Intern

Designed and implemented a recommendation system to recommend similar profiles inside the company.

Supervised by: Prof Mounim El Yacoubi and Dr Soufiane Rital.


Faculté polytechnique de Mons

Research Intern

Implemented and tested people re-identification algorithms using convolutional neural networks.

Supervised by: Dr Matei Mancas and Dr Marc Decombas.


Telecom ParisTech

Research Intern

Designed and implemented an algorithm for content aware zooms using seam carving.

Supervised by: Dr Gilles Bailly and Dr Marc Decombas.


University of Ottawa

Research Intern

I did a state of the art survey on people re-identification and implemented and combined state of the art algorithms.

Supervised by: Dr Marc Decombas and Prof Robert Laganière.

Life Journey


Bath, UK


PhD studies.


Paris, FR


Undergraduate and M.Sc studies.


Toulon, FR


Preparatory classes.


Fes, Morocco


Born and raised.

Let's Get In Touch!

I'm always open to new projects and collaborations!

+44 739 11 23 814