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2020 – today
- 2024
[j12]Farouq Benchallal
, Adel Hafiane, Nicolas Ragot, Raphaël Canals:
ConvNeXt based semi-supervised approach with consistency regularization for weeds classification. Expert Syst. Appl. 239: 122222 (2024)- [c16]Anas Berka, Youssef Es-Saady, Mohamed El Hajji, Raphaël Canals, Adel Hafiane:
Enhancing DeepLabV3+ for aerial image semantic segmentation using weighted upsampling. ISIVC 2024: 1-6 - 2023
- [j11]Mamadou Dian Bah, Adel Hafiane, Raphaël Canals:
Hierarchical graph representation for unsupervised crop row detection in images. Expert Syst. Appl. 216: 119478 (2023) - 2022
- [j10]Reenul Reedha, Eric Dericquebourg, Raphaël Canals, Adel Hafiane:
Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images. Remote. Sens. 14(3): 592 (2022) - [j9]Eric Dericquebourg, Adel Hafiane, Raphaël Canals:
Generative-Model-Based Data Labeling for Deep Network Regression: Application to Seed Maturity Estimation from UAV Multispectral Images. Remote. Sens. 14(20): 5238 (2022) - [j8]Asma Bougrine, Rachid Harba, Raphaël Canals, Roger Lédée, Meryem Jabloun, Alain Villeneuve:
Segmentation of Plantar Foot Thermal Images Using Prior Information. Sensors 22(10): 3835 (2022) - [i3]Eric Dericquebourg, Adel Hafiane, Raphaël Canals:
Generative models-based data labeling for deep networks regression: application to seed maturity estimation from UAV multispectral images. CoRR abs/2208.04611 (2022) - 2021
- [j7]Maryam Ouhami, Adel Hafiane, Youssef Es-Saady, Mohamed El Hajji, Raphaël Canals:
Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research. Remote. Sens. 13(13): 2486 (2021) - [i2]Reenul Reedha, Eric Dericquebourg, Raphaël Canals, Adel Hafiane:
Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images. CoRR abs/2109.02716 (2021) - 2020
- [j6]Mamadou Dian Bah, Adel Hafiane, Raphaël Canals:
CRowNet: Deep Network for Crop Row Detection in UAV Images. IEEE Access 8: 5189-5200 (2020) - [j5]Mohamed Kerkech, Adel Hafiane, Raphaël Canals:
Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach. Comput. Electron. Agric. 174: 105446 (2020) - [j4]Mohamed Kerkech, Adel Hafiane, Raphaël Canals:
VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map. Remote. Sens. 12(20): 3305 (2020) - [c15]Maryam Ouhami, Youssef Es-Saady, Mohamed El Hajji, Adel Hafiane, Raphaël Canals, Mostafa El Yassa:
Deep Transfer Learning Models for Tomato Disease Detection. ICISP 2020: 65-73 - [c14]Mohamed Kerkech, Adel Hafiane, Raphaël Canals, Frédéric Ros:
Vine Disease Detection by Deep Learning Method Combined with 3D Depth Information. ICISP 2020: 82-90 - [c13]Doha Bouallal, Asma Bougrine, Hassan Douzi, Rachid Harba, Raphaël Canals, Luis Vilcahuaman, Hugo Arbañil:
Segmentation of plantar foot thermal images: application to diabetic foot diagnosis. IWSSIP 2020: 116-121
2010 – 2019
- 2019
- [c12]Asma Bougrine, Rachid Harba, Raphaël Canals, Roger Lédée, Meryem Jabloun:
On the segmentation of plantar foot thermal images with Deep Learning. EUSIPCO 2019: 1-5 - [c11]Mamadou Dian Bah, Adel Hafiane, Raphaël Canals, Bruno Emile:
Deep features and One-class classification with unsupervised data for weed detection in UAV images. IPTA 2019: 1-5 - 2018
- [j3]Mohamed Kerkech, Adel Hafiane, Raphaël Canals:
Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images. Comput. Electron. Agric. 155: 237-243 (2018) - [j2]Mamadou Dian Bah, Adel Hafiane, Raphaël Canals:
Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images. Remote. Sens. 10(11): 1690 (2018) - [i1]Mamadou Dian Bah, Adel Hafiane, Raphaël Canals:
Deep Learning with unsupervised data labeling for weeds detection on UAV images. CoRR abs/1805.12395 (2018) - 2017
- [c10]Mamadou Dian Bah, Adel Hafiane, Raphaël Canals:
Weeds detection in UAV imagery using SLIC and the hough transform. IPTA 2017: 1-6 - [c9]Asma Bougrine, Rachid Harba, Raphaël Canals, Roger Lédée, Meryem Jabloun:
A joint snake and atlas-based segmentation of plantar foot thermal images. IPTA 2017: 1-6 - 2016
- [c8]Yang Liu, Andrea Polo, Martha Zequera, Rachid Harba, Raphaël Canals, Luis Vilcahuaman, Y. Bello:
Detection of diabetic foot hyperthermia by using a regionalization method, based on the plantar angiosomes, on infrared images. EMBC 2016: 1389-1392 - 2014
- [c7]Luis Vilcahuaman, Rachid Harba, Raphaël Canals, Martha Zequera, Carlos Wilches, Maria Teresa Arista, Leticia Torres, Hugo Arbañil:
Detection of diabetic foot hyperthermia by infrared imaging. EMBC 2014: 4831-4834 - 2013
- [c6]Wael Elloumi, Kamel Guissous, Aladine Chetouani, Raphaël Canals, Remy Leconge, Bruno Emile, Sylvie Treuillet:
Indoor navigation assistance with a Smartphone camera based on vanishing points. IPIN 2013: 1-9 - [c5]Ahmed Derbel, Yousra Ben Jemaa, Sylvie Treuillet, Bruno Emile, Raphaël Canals, Abdelmajid Ben Hamadou:
Robust Descriptors Fusion for Pedestrians' Re-identification and Tracking Across a Camera Network. VISAPP (2) 2013: 92-97 - 2012
- [c4]Ahmed Derbel, Yousra Ben Jemaa, Raphaël Canals, Bruno Emile, Sylvie Treuillet, Abdelmajid Ben Hamadou:
Comparative study between color texture and shape descriptors for multi-camera pedestrians identification. IPTA 2012: 313-318
2000 – 2009
- 2009
- [c3]Raphaël Canals, Ali Ganoun, Remy Leconge:
Occlusion-handling for improved particle filtering-based tracking. EUSIPCO 2009: 1107-1111 - 2006
- [c2]Ali Ganoun, Nouar Ould-Dris, Raphaël Canals:
Tracking system using CamShift and feature points. EUSIPCO 2006: 1-5 - [c1]Nouar Ould-Dris, Ali Ganoun, Raphaël Canals:
Improved Object Tracking With Camshift Algorithm. ICASSP (2) 2006: 657-660 - 2002
- [j1]Raphaël Canals, Anthony Roussel, Jean-Luc Famechon, Sylvie Treuillet:
A biprocessor-oriented vision-based target tracking system. IEEE Trans. Ind. Electron. 49(2): 500-506 (2002)
Coauthor Index
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