Mohamed Amine Marnissi

Mohamed Amine Marnissi

I'm a

Specialized in computer vision and thermal imaging for advanced security systems and AI applications

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My CV

Awards

Best Ph.D. Thesis Award in Tunisia

2023 · National Research Excellence Recognition

Recognition for outstanding contributions in the field of Computer Vision and Artificial Intelligence applied to thermal imaging and multi-modal detection systems.

Mohamed Amine Marnissi honored by the President for excellence in Computer Vision and AI research
Presidential Recognition

Award ceremony with the President of Tunisia

Certificate of National Excellence awarded to Mohamed Amine Marnissi for AI and Computer Vision breakthroughs
Official Certificate

National Excellence Award Certificate

Education

2019-2022

Ph.D. in Computer Vision & AI

National Engineering School of Sfax (ENIS), Tunisia

Thesis: "Detection of Suspicious Events by Multi-Spectral Cameras in a Robotic Application using Deep Learning Approaches."

Computer Vision Deep Learning Object detection
2017-2018

Master's in Intelligent and Communicating Systems

National Engineering School of Sousse (ENISo), Tunisia

Thesis: "Crowd Density Estimation with Deep Learning."

Machine Learning Deep Learning Data Science
2013-2016

Engineering Degree in Computer Science

National Engineering School of Sfax (ENIS), Tunisia
Software Engineering Algorithms
2011-2013

Preparatory Institute in Math & Physics

Mathematics Physics

Publications

GAN-based Vision Transformer for Thermal Image Enhancement - CVPR Workshop Publication 2023

GAN-based Vision Transformer for High-Quality Thermal Image Enhancement
Mohamed Amine Marnissi, Abir Fathallah
Computer Vision and Pattern Recognition Workshop (CVPRW) 2023
Class A*

Citation
                @InProceedings{Marnissi_2023_CVPR,
                  author    = {Marnissi, Mohamed Amine and Fathallah, Abir},
                  title     = {GAN-Based Vision Transformer for High-Quality Thermal Image Enhancement},
                  booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops},
                  month     = {June},
                  year      = {2023},
                  pages     = {817-825}
              }
Domain Adaptive Object Detector Research Paper - Published in CVIU Journal Q1 Ranking

Improved domain adaptive object detector via adversarial feature learning
Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara
Computer Vision and Image Understanding (CVIU)
Q1 IF: 4.3

Citation
              @article{marnissi2023improved,
                title={Improved domain adaptive object detector via adversarial feature learning},
                author={Marnissi, Mohamed Amine and Fradi, Hajer and Sahbani, Anis and Amara, Najoua Essoukri Ben},
                journal={Computer Vision and Image Understanding},
                pages={103660},
                year={2023},
                publisher={Elsevier}
              }
Thermal Image Enhancement for Pedestrian Detection - Presented at ICPR Conference 2020

Image Enhancement using Generative Adversarial Network for Pedestrian Detection
Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara
25th International Conference on Pattern Recognition 2020 (ICPR)
Class B

Citation
              @inproceedings{marnissi2021thermal,
                title={Thermal Image Enhancement using Generative Adversarial Network for Pedestrian Detection},
                author={Marnissi, Mohamed Amine and Fradi, Hajer and Sahbani, Anis and Amara, Najoua Essoukri Ben},
                booktitle={2020 25th International Conference on Pattern Recognition (ICPR)},
                pages={6509--6516},
                year={2021},
                organization={IEEE}}
Unsupervised Thermal-to-Visible Domain Adaptation - Pattern Recognition Letters 2021

Unsupervised thermal-to-visible domain adaptation method for pedestrian detection
Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara
Pattern Recognition Letters (PRL) 2021
Q1 IF: 3.9

Citation
              @article{marnissi2021unsupervised,
                title={Unsupervised thermal-to-visible domain adaptation method for pedestrian detection},
                author={Marnissi, Mohamed Amine and Fradi, Hajer and Sahbani, Anis and Amara, Najoua Essoukri Ben},
                journal={Pattern Recognition Letters},
                year={2021},
                publisher={Elsevier}}
Feature Distribution Alignments for Thermal Object Detection - Visual Computer Journal 2022

Feature distribution alignments for object detection in the thermal domain
Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara
The Visual Computer Journal 2022
Q2 IF: 3.9

Citation
              @article{article,
                author = {Marnissi, Mohamed and Fradi, Hajer and Sahbani, Anis and ESSOUKRI BEN AMARA, Najoua},
                year = {2022},
                month = {02},
                title = {Feature distribution alignments for object detection in the thermal domain},
                journal = {The Visual Computer}}
Bispectral Pedestrian Detection with Transformer and Saliency Maps - VISAPP 2022

Bispectral Pedestrian Detection Augmented with Saliency Maps using Transformer
Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara
the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications 2022
Class B

Citation
              @inproceedings{DBLP:conf/visapp/MarnissiHFSA22,
                author    = {Mohamed Amine Marnissi and Ikram Hattab and Hajer Fradi and Anis Sahbani and Najoua Essoukri Ben Amara},
                title     = {Bispectral Pedestrian Detection Augmented with Saliency Maps using Transformer},
                booktitle = {Proceedings of the 17th International Joint Conference on Computer
                             Vision, Imaging and Computer Graphics Theory and Applications, {VISIGRAPP}},
                year      = {2022}}

Technical Skills

Programming

Python, C++, Java, SQL, MATLAB

Deep Learning

CNN, GAN, ViT, YOLO, U-Net, LLM

Frameworks

PyTorch, TensorFlow, Keras, Scikit-learn

Deployment

NVIDIA Jetson, Docker, Kubernetes, ROS

Projects

Thermal Image Enhancement

Thermal image enhancement using GANs for clearer object detection.

GAN Transformer PyTorch
Multispectral Fusion Detection

Fusion of thermal and visible images using deep models to produce object detection.

Fusion Multispectral Computer Vision
Thermal Video Detection

Real-time detection system analyzing thermal video feeds for security surveillance.

YOLO Thermal Real-Time
Thermal Instance Segmentation

Pixel-level object segmentation in thermal imagery using transformer-based networks.

Segmentation Transformer Instance-Level
Thermal Detection Interface

User-friendly UI for real-time monitoring, detection alerts, and system control.

UI/UX Analytics Real-Time
Cross-Domain Adaptation

Techniques for adapting knowledge between visible and thermal in detection tasks.

Domain Adaptation Thermal Adversarial

Datasets

KAIST Thermal Dataset - Benchmark for AI and Computer Vision Research
KAIST Thermal

Collection of thermal images for computer vision analysis and model training.

Download
KAIST Visible Spectrum Dataset for Object Detection and Image Analysis
KAIST Visible

High-resolution visible spectrum images with annotations for object detection.

Download
FLIR Thermal Imaging Dataset - AI Training and Research Resource
FLIR Thermal

FLIR thermal spectrum images for machine learning applications.

Download
FLIR Visible Spectrum Dataset with Annotations for Deep Learning Projects
FLIR Visible

FLIR visible spectrum data with annotations for object detection research.

Download

Academic & Professional Experience

Present
Freelance AI Consultant
Remote

Providing expertise in computer vision and deep learning solutions for various clients.

2022 - 2024
Research Engineer
EnovaRobotics, Tunisia

Leading research in computer vision and deep learning applications for thermal imaging.

Teaching Experience

2024
ESPITA & Polytechnique

Courses and labs in Design Pattern, JEE Programming, Artificial Intelligence, and Machine Learning

2023
ESPITA

Advanced Operating Systems

2021
ISSATSO

JAVA tutorials

Supervision Experience

2023
ENISo, Enova Robotics

Final project on bispectral camera control

Computer Vision Robotics
2022
ISSATSo, Enova Robotics

Final project on multispectral detection

Computer Vision AI
2021
LATIS, ISSATSo

Final project on object detection using thermal and visible cameras

Computer Vision Thermal Imaging

Brevet

Système intelligent et embarqué pour la vidéo surveillance
Détection bispectrale visible et thermique pour sites à hauts risques

Inventeurs: Mohamed Amine Marnissi, Hajer Fradi, Anis Sahbani, Najoua Essoukri Ben Amara

En savoir plus

Services

Deep Learning Model Development

Design and implementation of deep learning models tailored to your needs.

Thermal and Multispectral Image Processing

Advanced processing and analysis of thermal and multispectral images for various applications.

Deployment & Optimization for AI Models

Deployment and optimization of AI models on various hardware platforms.

Research Collaboration & Prototyping

Collaboration on research projects and development of innovative prototypes.

Blog

Coming Soon: Research Insights & AI Projects

Stay tuned for deep dives into AI techniques, publications, and tutorials.

Contact Me

Brest, France