Marwa Hamrouni-Computer Vision Project
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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.
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
Education
University of Passau
Master's degree · Computer Science · Passau, Germany
International Multidisciplinary School of Sousse
Electrical Engineering · Sousse, Tunisia
Higher Institute of Computer Science and Mathematics
Bachelor's degree · Electronics and Communication; Technology · Monastir, Tunisia
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Experience
Global Experience
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Profile
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