Marwa Hamrouni - Computer Vision Project | FRATCH

en
de

Munich, Germany

Experience

Computer Vision Project

Developed a convolutional neural network (ConvNet)-based model that achieved 95% accuracy in traffic sign recognition and classification.
Programming language: Python 3.7.
Libraries: Numpy, matplotlib, scikit-learn, scikit-image.
Deep learning framework: Tensorflow.

NLP Project

Created and compared the performance of three different models for patent application classification.
The first two models use different word representations, while the third is based on a pre-trained language model.
Accuracy improved significantly—from 60% with the baseline model (using GloVe embeddings) to 88% with the pre-trained model.
Programming language: Python 3.7.
Word representation: GloVe word embeddings, pre-trained domain-specific embeddings.
Pre-trained language model: Google AI's BERT.
Python’s libraries: Pandas, Numpy.
Deep learning framework: Tensorflow.

Passau, Germany

Master’s thesis at the University of Passau

University of Passau

Depth information is extracted from RGB images using Generative Adversarial Networks (GANs).
The generator follows an encoder-decoder architecture.
A pre-trained EfficientNet model is used as the encoder backbone for feature extraction, while the decoder is implemented as a fully convolutional neural network.
In the first approach, Conditional GANs (CGANs) are trained in a supervised manner using single RGB images paired with corresponding ground truth depth maps for both training and testing.
The second approach employs a GAN-based architecture trained in an unsupervised fashion using stereo image pairs without ground truth depth maps, but at test time, only single RGB images with depth maps are used.

Skills

Programming Languages: Python, C, C++, Matlab, Sql (Postgresql)
Tools: Jupyter Notebook, Visual Studio Code
Os: Linux, Windows 7/10
Vcs: Git

Languages

Arabic

Advanced

English

Advanced

French

Advanced

German

Intermediate

Education

Oct 2018 - Feb 2022

University of Passau

Master's degree · Computer Science · Passau, Germany

Oct 2014 - Aug 2017

International Multidisciplinary School of Sousse

Electrical Engineering · Sousse, Tunisia

Sep 2011 - Jun 2014

Higher Institute of Computer Science and Mathematics

Bachelor's degree · Electronics and Communication; Technology · Monastir, Tunisia

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