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Achievement: Pull Shark
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Achievement: Pull Shark
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@DigitalHolography @SCIA-Premium
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Sefray/README.md

Welcome to my GitHub profile!

I am a computer science student specializing in Artificial Intelligence & Data Science, and Research at EPITA. On this profile, you can view my current projects and past achievements in these fields.

You can see my contributions to project that I do not possess in my star section in the contribution list.

I am also a research student at LRE (Research Laboratory of EPITA). My work is focusing on line detection using multiple object tracking (without deep learning) approach in document images.

The following list includes my contributions in my research project:

  • Creation of a modulable pipeline (C++) for line detection in document using multiple object tracking.
  • Improvement of the evaluation for line detection (Python).
  • Creation of a dataset allowing a quantitative comparison to SOTA methods.

The related work is available here: DOI

I am currently doing an internship at Siemens Healthineers in Princeton NJ. I am working in the cardio vascular team on a project aiming at improving the left ventricul motion extraction from DICOM.

Feel free to contact me if you have any questions or comments about my projects!

Pinned

  1. EPITAResearchLab/bernet.23.icdar EPITAResearchLab/bernet.23.icdar Public

    Experimental protocol and results for the paper "Linear Object Detection in Document Images using Multiple Object Tracking" accepted at ICDAR 2023 by Bernet et al.

    Jupyter Notebook 4

  2. SCIA-Premium/DNN SCIA-Premium/DNN Public

    This repository contains the project of DNN class at EPITA. The goal of the project was to benchmark multiple type of Visual Object Trackers on multiple dataset using different metrics.

    Jupyter Notebook 1

  3. NuitsBlanches_GPU NuitsBlanches_GPU Public

    This repository contains multiple C++/GPU version of a pipeline for object detection. This project has been done for a GPU class at EPITA.

    C++ 1

  4. cmkv_epita cmkv_epita Public

    This repository contains the project of CMKV class at EPITA. The goal of the project is to provide a solver for a Tetravex game using a Metropolis-Hasting.

    C++

  5. SCIA-Premium/GoRaft SCIA-Premium/GoRaft Public

    Go implementation of the RAFT consensus algorithm. Faults injector with a REPL and a CLSF (Command List and File Storage) to test several scenarios.

    Go 2