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Research Engineer

Portfolio - Mohamed Amine Marnissi

As a research engineer in deep learning and computer vision, I bring expertise in developing advanced algorithms for image and video analysis, object recognition, and neural network architecture design. I hold a Bachelor's degree in Computer Science, a Master's degree in Artificial Intelligence, and a PhD in Computer Systems Technology. I am a freelance professional with a proven track record of publishing in high-impact journals and conferences. Passionate about staying up-to-date with the latest advancements in my field, I attend conferences and workshops, and am a member of research communities and professional organizations.

Welcome to my portfolio! This repository contains a collection of my personal projects, work samples, and research papers.

Table of Contents

Projects

  • Project 1: :github: - Development of a DL model for people and car detection in a thermal camera.
  • Project 2: [Project Name](link to the project) - A brief description of the project and its features.
  • Project 3: [Project Name](link to the project) - A brief description of the project and its features.

Research Papers

Technologies Used

  • Language 1
  • Language 2
  • Framework/Library

My Skills

AmineMarnissi GitHub stats

Mohamed amine marnissi's Projects

100-days-of-datascience icon 100-days-of-datascience

Greetings! 👋 I'm Loga Aswin, diving into a 100-day data science immersion from Python fundamentals to real-world applications. This space will be a live documentation of my journey, where code meets curiosity. Let's connect, learn, and code together. Click ⭐ on GitHub to stay tuned for updates on my work!

cfr icon cfr

[ICIP 2020]"Multispectral Fusion for Object Detection with Cyclic Fuse-and-Refine Blocks"

codeformer icon codeformer

[NeurIPS 2022] Towards Robust Blind Face Restoration with Codebook Lookup Transformer

coursera-deep-learning-specialization icon coursera-deep-learning-specialization

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks;

cross-domain-detection icon cross-domain-detection

Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation [Inoue+, CVPR2018].

da-faster-rcnn-pytorch icon da-faster-rcnn-pytorch

An unofficial implementation of 'Domain Adaptive Faster R-CNN for Object Detection in the Wild ’

deoldify icon deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

gfpgan icon gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

gpa-detection icon gpa-detection

Implementation of Cross-domain Detection via Graph-induced Prototype Alignment (CVPR 2020 Oral).

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