Senior researcher
Mathematics / Robotics & Autonomous Systems,
Royal Military Academy
Address
Avenue De La Renaissance 30, 1000 Brussels, Belgium
Contact Information
Call: –
Email: Benoit.Pairet@mil.be
Benoît is an engineer researcher at the Robotics & Autonomous Systems unit of the department of Mechanics of the Belgian Royal Military Academy. His research focuses on enabling operations with multiple heterogeneous unmanned maritime assets.
He received his Master's Degree in Applied Mathematics from UCLouvain in 2015. He then started a PhD funded by the Belgian National Science Foundation (F.R.S-FNRS). He conducted research on direct imaging of exoplanets and circumstellar disks from ground-based telescopes. His thesis “Signal processing methods for high-contrast observations of planetary systems" was completed in 2020.
After his thesis, Benoît joined the Belgian Royal Military Academy to participate in the MarSur project. This research project involves developing algorithmic solutions for autonomous unmanned maritime vehicles. In particular, the aim is to provide robust command structures to ensure that these unmanned assets perform their tasks in any type of situations.
Publications
2023
- Timothée Fréville, C. Hamesse., B. Pairet., and R. Haelterman., “Object Detection in Floor Plans for Automated VR Environment Generation," in Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) – Volume 5: VISAPP, 2023, pp. 480-486.
[BibTeX] [DOI]@conference{visapp23, author={Timothée Fréville, and Charles Hamesse. and Bênoit Pairet. and Rob Haelterman.}, title={Object Detection in Floor Plans for Automated VR Environment Generation}, booktitle={Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2023) - Volume 5: VISAPP}, year={2023}, pages={480-486}, publisher={SciTePress}, organization={INSTICC}, doi={10.5220/0011629300003417}, isbn={978-989-758-634-7}, issn={2184-4321}, } - T. Fréville, C. Hamesse, B. Pairet, and R. Haelterman, “AI to generate VR worlds from floorplans," in Defence Training Technology Exhibition and Technical Conference (IT²EC), 2023.
[BibTeX]@inproceedings{IT²EC2023a, author = {Fréville, Timothée and Hamesse, Charles and Pairet, Benoit and Haelterman, Rob}, year = {2023}, month = {04}, pages = {}, title = {AI to generate VR worlds from floorplans}, booktitle={Defence Training Technology Exhibition and Technical Conference (IT²EC)}, } - B. Pairet, C. Hamesse, T. Fréville, and H. Rob, “From maps to 3D environments, automatically," in Defence Training Technology Exhibition and Technical Conference (IT²EC), 2023.
[BibTeX]@inproceedings{IT²EC2023b, author = {Pairet, Benoit and Hamesse, Charles and Fréville, Timothée and Haelterman Rob}, year = {2023}, month = {04}, pages = {}, booktitle={Defence Training Technology Exhibition and Technical Conference (IT²EC)}, title = {From maps to 3D environments, automatically} } - C. Hamesse, T. Fréville, B. Pairet, and R. Haelterman, “Towards Dense 3D Mapping with Portable Systems," in Defence Training Technology Exhibition and Technical Conference (IT²EC), 2023.
[BibTeX]@inproceedings{IT²EC2023c, author = {Hamesse, Charles and Fréville, Timothée and Pairet, Benoit and Haelterman, Rob}, year = {2023}, month = {04}, pages = {}, booktitle={Defence Training Technology Exhibition and Technical Conference (IT²EC)}, title = {Towards Dense 3D Mapping with Portable Systems} }
2022
- R. Lahouli., G. De Cubber, B. Pairet., C. Hamesse., T. Fréville., and R. Haelterman., “Deep Learning based Object Detection and Tracking for Maritime Situational Awareness," in Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) – Volume 4: VISAPP, 2022, pp. 643-650.
[BibTeX] [DOI]@conference{visapp22, author={Rihab Lahouli. and Geert {De Cubber}. and Benoît Pairet. and Charles Hamesse. and Timothée Fréville. and Rob Haelterman.}, title={Deep Learning based Object Detection and Tracking for Maritime Situational Awareness}, booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 4: VISAPP}, year={2022}, pages={643-650}, publisher={SciTePress}, organization={INSTICC}, doi={10.5220/0010901000003124}, isbn={978-989-758-555-5}, issn={2184-4321}, } - R. Lahouli, G. De Cubber, B. Pairet, C. Hamesse, T. Freville, and R. Haelterman, “Deep Learning based Object Detection and Tracking for Maritime Situational Awareness," in Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications – Volume 4: VISAPP,, 2022, pp. 643-650.
[BibTeX] [Download PDF] [DOI]@conference{visapp22, author={Lahouli, Rihab and De Cubber, Geert and Pairet, Benoit and Hamesse, Charles and Freville, Timothee and Haelterman, Rob}, title={Deep Learning based Object Detection and Tracking for Maritime Situational Awareness}, booktitle={Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4: VISAPP,}, year={2022}, pages={643-650}, publisher={SciTePress}, organization={INSTICC}, doi={10.5220/0010901000003124}, isbn={978-989-758-555-5}, project={SSAVE}, url={https://www.scitepress.org/PublicationsDetail.aspx?ID=mJ5eF6o+SbM=&t=1}, unit= {meca-ras} }
2021
- T. Freville, C. Hamesse, B. Pairet, R. Lahouli, and R. Haelterman, “From Floor Plans to Virtual Reality," in 2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), Los Alamitos, CA, USA, 2021, pp. 129-133.
[BibTeX] [Abstract] [Download PDF] [DOI]
Creating realistic VR environments is a tedious task. For many types of applications, these environments must respect certain constraints or correspond as faithfully as possible to a real place. Floor plans are a simple and abundant format that humans can read and edit. As such, they are a good basis to create VR environments that match real buildings. We propose a method to convert floor plans to VR environments with minimal human intervention. Leveraging traditional computer vision, machine learning and 3D engines, our method is efficient but remains flexible and fast, and creates simple yet realistic environments that can be used for various VR applications. We demonstrate results for our specific use case for Belgian Defence's tactical intervention teams.
@INPROCEEDINGS {9644381, author = {T. Freville and C. Hamesse and B. Pairet and R. Lahouli and R. Haelterman}, booktitle = {2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)}, title = {From Floor Plans to Virtual Reality}, year = {2021}, volume = {}, issn = {}, pages = {129-133}, abstract = {Creating realistic VR environments is a tedious task. For many types of applications, these environments must respect certain constraints or correspond as faithfully as possible to a real place. Floor plans are a simple and abundant format that humans can read and edit. As such, they are a good basis to create VR environments that match real buildings. We propose a method to convert floor plans to VR environments with minimal human intervention. Leveraging traditional computer vision, machine learning and 3D engines, our method is efficient but remains flexible and fast, and creates simple yet realistic environments that can be used for various VR applications. We demonstrate results for our specific use case for Belgian Defence's tactical intervention teams.}, keywords = {geometry;computer vision;three-dimensional displays;conferences;buildings;virtual reality;machine learning}, doi = {10.1109/AIVR52153.2021.00030}, url = {https://doi.ieeecomputersociety.org/10.1109/AIVR52153.2021.00030}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, month = {nov} } - Hamesse Charles, Pairet Benoît, Lahouli Rihab, Fréville Timothée, and H. Rob, “Simulation of Pan-Tilt-Zoom Tracking for Augmented Reality Air Traffic Control," in 2021 International Conference on 3D Immersion (IC3D), 2021, pp. 1-5.
[BibTeX] [DOI]@INPROCEEDINGS{9687257, author={Hamesse Charles, and Pairet Benoît, and Lahouli Rihab, and Fréville Timothée, and Haelterman Rob}, booktitle={2021 International Conference on 3D Immersion (IC3D)}, title={Simulation of Pan-Tilt-Zoom Tracking for Augmented Reality Air Traffic Control}, year={2021}, volume={}, number={}, pages={1-5}, keywords={Headphones;Visualization;Solid modeling;Three-dimensional displays;Atmospheric modeling;Cameras;Air traffic control;Augmented Reality;Air Traffic Control;Pan Tilt Zoom;Visual Tracker;Aircraft}, doi={10.1109/IC3D53758.2021.9687257} }
2020
- B. Pairet, F. Cantalloube, and L. Jacques, “MAYONNAISE: a morphological components analysis pipeline for circumstellar disks and exoplanets imaging in the near infrared," arXiv preprint arXiv:2008.05170, 2020.
[BibTeX]@article{pairet2020mayonnaise, title={MAYONNAISE: a morphological components analysis pipeline for circumstellar disks and exoplanets imaging in the near infrared}, author={Pairet, Beno{\^\i}t and Cantalloube, Faustine and Jacques, Laurent}, journal={arXiv preprint arXiv:2008.05170}, year={2020} } - B. Pairet, G. C. Gonzalez, and L. Jacques, “Morphological components analysis for circumstellar disks imaging," in Proc. Int. Traveling Workshop Interact. Between Sparse Models Technol.(iTWIST), 2020.
[BibTeX]@inproceedings{pairet2020itwist, title={Morphological components analysis for circumstellar disks imaging}, author={Pairet, Beno{\^\i}t and Gonzalez, C Gomez and Jacques, Laurent }, booktitle={Proc. Int. Traveling Workshop Interact. Between Sparse Models Technol.(iTWIST)}, year={2020} }
2019
- B. Pairet, F. Cantalloube, C. A. Gomez Gonzalez, O. Absil, and L. Jacques, “STIM map: detection map for exoplanets imaging beyond asymptotic Gaussian residual speckle noise," Monthly Notices of the Royal Astronomical Society, vol. 487, iss. 2, p. 2262–2277, 2019.
[BibTeX]@article{pairet2019stim, title={STIM map: detection map for exoplanets imaging beyond asymptotic Gaussian residual speckle noise}, author={Pairet, Beno{\^\i}t and Cantalloube, Faustine and Gomez Gonzalez, Carlos A and Absil, Olivier and Jacques, Laurent}, journal={Monthly Notices of the Royal Astronomical Society}, volume={487}, number={2}, pages={2262--2277}, year={2019}, publisher={Oxford University Press} } - B. Pairet, L. Jacques, and F. Cantalloube, “Iterative Low-rank and rotating sparsity promotion for circumstellar disks imaging," Proceedings of SPARS’19, vol. 1, p. 1, 2019.
[BibTeX]@article{pairet2019iterative, title={Iterative Low-rank and rotating sparsity promotion for circumstellar disks imaging}, author={Pairet, Beno{\^\i}t and Jacques, Laurent and Cantalloube, Faustine}, journal={Proceedings of SPARS'19}, volume={1}, pages={1}, year={2019} } - V. Christiaens, S. Casassus, O. Absil, F. Cantalloube, C. Gomez Gonzalez, J. Girard, R. Ram{‘i}rez, B. Pairet, V. Salinas, D. J. Price, and others, “Separating extended disc features from the protoplanet in PDS 70 using VLT/SINFONI," Monthly Notices of the Royal Astronomical Society, vol. 486, iss. 4, p. 5819–5837, 2019.
[BibTeX]@article{christiaens2019separating, title={Separating extended disc features from the protoplanet in PDS 70 using VLT/SINFONI}, author={Christiaens, Valentin and Casassus, Simon and Absil, Olivier and Cantalloube, Faustine and Gomez Gonzalez, C and Girard, J and Ram{\'\i}rez, R and Pairet, B and Salinas, V and Price, Daniel J and others}, journal={Monthly Notices of the Royal Astronomical Society}, volume={486}, number={4}, pages={5819--5837}, year={2019}, publisher={Oxford University Press} } - D. Mesa, M. Keppler, F. Cantalloube, L. Rodet, B. Charnay, R. Gratton, M. Langlois, A. Boccaletti, M. Bonnefoy, A. Vigan, B. Pairet, and others, “VLT/SPHERE exploration of the young multiplanetary system PDS70," Astronomy & Astrophysics, vol. 632, p. A25, 2019.
[BibTeX]@article{mesa2019vlt, title={VLT/SPHERE exploration of the young multiplanetary system PDS70}, author={Mesa, D and Keppler, M and Cantalloube, F and Rodet, L and Charnay, B and Gratton, R and Langlois, M and Boccaletti, A and Bonnefoy, M and Vigan, Arthur and Pairet, B and others}, journal={Astronomy \& Astrophysics}, volume={632}, pages={A25}, year={2019}, publisher={EDP Sciences} }
2018
- B. Pairet, G. C. Gonzalez, and L. Jacques, “Reference-less algorithm for circumstellar disks imaging," in Proc. Int. Traveling Workshop Interact. Between Sparse Models Technol.(iTWIST), 2018.
[BibTeX]@inproceedings{pairet2018itwist, title={Reference-less algorithm for circumstellar disks imaging}, author={Pairet, Beno{\^\i}t and Gonzalez, C Gomez and Jacques, Laurent }, booktitle={Proc. Int. Traveling Workshop Interact. Between Sparse Models Technol.(iTWIST)}, year={2018} }
2016
- B. Pairet, L. Jacques, G. C. Gonzalez, and O. Absil, “Low rank and group-average sparsity driven convex optimization for direct exoplanets imaging," in Proc. Int. Traveling Workshop Interact. Between Sparse Models Technol.(iTWIST), 2016, p. 24–26.
[BibTeX]@inproceedings{pairet2016itwist, title={Low rank and group-average sparsity driven convex optimization for direct exoplanets imaging}, author={Pairet, Beno{\^\i}t and Jacques, Laurent and Gonzalez, C Gomez and Absil, Olivier}, booktitle={Proc. Int. Traveling Workshop Interact. Between Sparse Models Technol.(iTWIST)}, pages={24--26}, year={2016} }