Výsledky vyhledávání - "Florian Chabot"

Detailed Catalyst Layer Structure of Proton Exchange Membrane Fuel Cells from Contrast Variation Small-Angle Neutron Scattering

Autor: Florian Chabot, Jongmin Lee, Florent Vandenberghe, Laure Guétaz, Gérard Gebel, Sandrine Lyonnard, Lionel Porcar, Sebastien Rosini, Arnaud Morin

Publikováno v: ACS Applied Energy Materials
ACS Applied Energy Materials, 2024, 6 (3), pp.1185-1196. ⟨10.1021/acsaem.2c02384⟩

International audience; Despite significant decrease in past decades, the cost of Proton Exchange Membrane Fuel Cell (PEMFC), largely due to the rare and expensive electro-catalyst made of platinum, restrains its massive deployment. Therefore, reduci

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff9a1a93c0e3473f0948e043ac792e58
https://doi.org/10.1021/acsaem.2c02384

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BrightFlow: Brightness-Change-Aware Unsupervised Learning of Optical Flow

Autor: Remi MARSAL, Florian CHABOT, Angelique LOESCH, Hichem SAHBI

Publikováno v: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2e16995799e6b01b122eabebfe48a708
https://doi.org/10.1109/wacv56688.2023.00210

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Image Segmentation-based Unsupervised Multiple Objects Discovery

Autor: Sandra Kara, Hejer Ammar, Florian Chabot, Quoc-Cuong Pham

Unsupervised object discovery aims to localize objects in images, while removing the dependence on annotations required by most deep learning-based methods. To address this problem, we propose a fully unsupervised, bottom-up approach, for multiple ob

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a217318a8bc3c86e3e83005d59812d19

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Evolution During Accelerated Stress Test of Performance and of the Catalyst Layer's Ionomer Physical and Chemical Structures in Proton Exchange Membrane Fuel Cell

Autor: Florian Chabot, Sébastien Rosini, Arnaud Morin

Publikováno v: ECS Meeting Abstracts. :1399-1399

Catalyst layer’s ionomer plays a crucial role in the operation of Proton Exchange Membrane Fuel Cell (PEMFC) not simply because it binds the catalyst nanopowder but mostly because it allows protons transport and affects both gas diffusivity and wat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::bd4baf13d6c460588b3a40999929a60d
https://doi.org/10.1149/ma2022-02391399mtgabs

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Probing ionomer swelling and water content in catalyst layer during operation using Small Angle Neutron and X-Ray Scattering

Autor: Gérard Gebel, Sandrine Lyonnard, Fabrice Micoud, Florian Chabot, Sylvie Escribano, Jongmin Lee, Sébastien Rosini, Arnaud Morin

Publikováno v: EFCF2021
EFCF2021, Jun 2021, Luzern, Switzerland
HAL

International audience; In the fuel cell catalyst layers (CLs), the ionomer plays roles as a binder and a conductor for protons. It is now known that the ionomer not only forms aggregates between the catalyst agglomerates of the porous structure of t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::63b629f8c08b17696ad45462893cc4d4
https://cea.hal.science/cea-03508721

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PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation

Autor: Florian Chabot, Catherine Achard, Quoc Cuong Pham, Bertrand Luvison, Abdallah Benzine

Publikováno v: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Jun 2020, Seattle, United States. pp.6855-6864, ⟨10.1109/CVPR42600.2020.00689⟩
CVPR

International audience; Recently, several deep learning models have been pro-posed for 3D human pose estimation. Nevertheless, mostof these approaches only focus on the single-person caseor estimate 3D pose of a few people at high resolution.Furtherm

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4ff987809a9ce3666914193e08e021e
https://hal.sorbonne-universite.fr/hal-02926220/file/Benzine_PandaNet_Anchor-Based_Single-Shot_Multi-Person_3D_Pose_Estimation_CVPR_2020_paper.pdf

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Deep edge-color invariant features for 2D/3D car fine-grained classification

Autor: Florian Chabot, Mohamed Chaouch, Jaonary Rabarisoa, Céline Teulière, Thierry Chateau

Publikováno v: Intelligent Vehicles Symposium (IV)
Intelligent Vehicles Symposium (IV), 2017, Los Angeles, United States
Intelligent Vehicles Symposium

Given an untextured 3D car models dataset, are we able to learn a robust make and model classifier which will be applied on real color images? One solution consists in finding a common representation between synthetic edge images and real color image

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2a1d9675bd7a44cf79ebaa1c15dc29e9
https://hal.science/hal-01653492

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Deep MANTA: A Coarse-to-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis from Monocular Image

Autor: Jaonary Rabarisoa, Céline Teulière, Thierry Chateau, Florian Chabot, Mohamed Chaouch

Publikováno v: IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, Honolulu, United States
CVPR

In this paper, we present a novel approach, called Deep MANTA (Deep Many-Tasks), for many-task vehicle analysis from a given image. A robust convolutional network is introduced for simultaneous vehicle detection, part localization, visibility charact

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bf7c1456016717e46669ad36dc83b82f
https://hal.science/hal-01653519

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Accurate 3D car pose estimation

Autor: Thierry Chateau, Céline Teulière, Jaonary Rabarisoa, Florian Chabot, Mohamed Chaouch

Publikováno v: ICIP
2016 IEEE International Conference on Image Processing (ICIP)
2016 IEEE International Conference on Image Processing (ICIP), Sep 2016, Phoenix, AZ, United States. pp.3807-3811, ⟨10.1109/ICIP.2016.7533072⟩

Conference of 23rd IEEE International Conference on Image Processing, ICIP 2016 ; Conference Date: 25 September 2016 Through 28 September 2016; Conference Code:125190; International audience; We propose a new approach for accurate car pose estimation

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edb6deea36127613b8f7d73a06bf4b37
https://doi.org/10.1109/icip.2016.7533072

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A top-down perception approach for vehicle pose estimation

Autor: Florian Chabot, Claude Aynaud, Romuald Aufrère, Coralie Bernay-Angeletti, Roland Chapuis

Publikováno v: 2015 IEEE International Conference on Robotics and Biomimetics (ROBIO)
2015 IEEE International Conference on Robotics and Biomimetics (ROBIO), Dec 2015, Zhuhai, China. ⟨10.1109/ROBIO.2015.7419107⟩
ROBIO

International audience; In this article, we present the application of our Generic Focusing Algorithm (GFA) to the fine pose estimation of a vehicle by monocular vision. This is a top-down algorithm that has already been used for object recognition [

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f194e5c9ca76d52f770c6d216d605237
https://hal.science/hal-01691401

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