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Nicolas Ragot
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1

Synthetic Datasets for 6D Pose Estimation of Industrial Obj..:

, In: Industrial Engineering and Applications – Europe; Lecture Notes in Business Information Processing,
Laignel, Aristide ; Ragot, Nicolas ; Duval, Fabrice. - p. 227-241 , 2024
Link: https://doi.org/10.1007/..
 
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2

Industrial Object Detection: Leveraging Synthetic Data for ..:

, In: Industrial Engineering and Applications – Europe; Lecture Notes in Business Information Processing,
Ouarab, Sarah ; Boutteau, Rémi ; Romeo, Katerine... - p. 200-212 , 2024
Link: https://doi.org/10.1007/..
 
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3

ConvNeXt based semi-supervised approach with consistency re..:

Benchallal, Farouq ; Hafiane, Adel ; Ragot, Nicolas.
Expert Systems with Applications.  239 (2024)  - p. 122222 , 2024
Link: https://doi.org/10.1016/..
 
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4

Assistive Robotic Technologies for Next-Generation Smart Wh..:

Morbidi, Fabio ; Devigne, Louise ; Teodorescu, Catalin Stefan...
IEEE Robotics & Automation Magazine.  30 (2023)  1 - p. 24-35 , 2023
Link: https://doi.org/10.1109/..
 
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5

Exploring human-machine collaboration in industry: a system..:

Feddoul, Yassine ; Ragot, Nicolas ; Duval, Fabrice...
The International Journal of Advanced Manufacturing Technology.  129 (2023)  5-6 - p. 1917-1932 , 2023
Link: https://doi.org/10.1007/..
 
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6

A Dataset for Temporal Semantic Segmentation Dedicated to S..:

Decoux, Benoit ; Khemmar, Redouane ; Ragot, Nicolas...
Journal of Imaging.  8 (2022)  8 - p. 216 , 2022
Link: https://doi.org/10.3390/..
 
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7

Efficient Dynamic Texture Classification with Probabilistic..:

, In: 2022 26th International Conference on Pattern Recognition (ICPR),
Nguyen, Luong Phat ; Mille, Julien ; Li, Dominique H... - p. 564-570 , 2022
Link: https://doi.org/10.1109/..
 
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8

View Selection for Industrial Object Recognition:

, In: IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society,
Xu, Kewei ; Ragot, Nicolas ; Dupuis, Yohan - p. 1-6 , 2022
Link: https://doi.org/10.1109/..
 
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9

Deep Learning for Document Layout Generation: A First Repro..:

, In: Document Analysis and Recognition – ICDAR 2021; Lecture Notes in Computer Science,
Carletto, Romain ; Cardot, Hubert ; Ragot, Nicolas - p. 20-35 , 2021
Link: https://doi.org/10.1007/..
 
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10

Deep Learning-Based Object Detection, Localisation and Trac..:

Lecrosnier, Louis ; Khemmar, Redouane ; Ragot, Nicolas...
International Journal of Environmental Research and Public Health.  18 (2020)  1 - p. 91 , 2020
Link: https://doi.org/10.3390/..
 
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11

Deep Learning for Real-Time 3D Multi-Object Detection, Loca..:

Mauri, Antoine ; Khemmar, Redouane ; Decoux, Benoit...
Sensors.  20 (2020)  2 - p. 532 , 2020
Link: https://doi.org/10.3390/..
 
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12

Comparative study of conventional time series matching tech..:

Mondal, Tanmoy ; Ragot, Nicolas ; Ramel, Jean-yves.
Pattern Recognition.  73 (2018)  - p. 47-64 , 2018
Link: https://doi.org/10.1016/..
 
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13

A multi-one-class dynamic classifier for adaptive digitizat..:

Ngo Ho, Anh Khoi ; Eglin, Véronique ; Ragot, Nicolas.
International Journal on Document Analysis and Recognition (IJDAR).  20 (2017)  3 - p. 137-154 , 2017
Link: https://doi.org/10.1007/..
 
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14

An online background subtraction algorithm deployed on a NA..:

Hu, Yang ; Sirlantzis, Konstantinos ; Howells, Gareth..
Robotics and Autonomous Systems.  85 (2016)  - p. 37-47 , 2016
Link: https://doi.org/10.1016/..
 
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15

Flexible Sequence Matching technique: An effective learning..:

Mondal, Tanmoy ; Ragot, Nicolas ; Ramel, Jean-Yves.
Pattern Recognition.  60 (2016)  - p. 596-612 , 2016
Link: https://doi.org/10.1016/..
 
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