Raphaël Canals

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 23

Top Topics

Semantic Segmentation

Top Venues

Comput. Electron. Agric.

Publications

Farouq Benchallal, Adel Hafiane, Nicolas Ragot, Raphaël Canals
ConvNeXt based semi-supervised approach with consistency regularization for weeds classification. Expert Syst. Appl. 239 (2024)
Anas Berka, Youssef Es-Saady, Mohamed El Hajji, Raphaël Canals, Adel Hafiane
Enhancing DeepLabV3+ for aerial image semantic segmentation using weighted upsampling. ISIVC (2024)
Mamadou Dian Bah, Adel Hafiane, Raphaël Canals
Hierarchical graph representation for unsupervised crop row detection in images. Expert Syst. Appl. 216 (2023)
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 (2022)
Asma Bougrine, Rachid Harba, Raphaël Canals, Roger Lédée, Meryem Jabloun, Alain Villeneuve
Segmentation of Plantar Foot Thermal Images Using Prior Information. Sensors 22 (10) (2022)
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) (2022)
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) (2022)
Reenul Reedha, Eric Dericquebourg, Raphaël Canals, Adel Hafiane
Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images. CoRR (2021)
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) (2021)
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 (2020)
Mamadou Dian Bah, Adel Hafiane, Raphaël Canals
CRowNet: Deep Network for Crop Row Detection in UAV Images. IEEE Access 8 (2020)
Doha Bouallal, Asma Bougrine, Hassan Douzi, Rachid Harba, Raphaël Canals, Luis Vilcahuaman, Hugo Arbanil
Segmentation of plantar foot thermal images: application to diabetic foot diagnosis. IWSSIP (2020)
Mohamed Kerkech, Adel Hafiane, Raphaël Canals
VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map. Remote. Sens. 12 (20) (2020)
Mohamed Kerkech, Adel Hafiane, Raphaël Canals, Frédéric Ros
Vine Disease Detection by Deep Learning Method Combined with 3D Depth Information. ICISP (2020)
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)
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)
Asma Bougrine, Rachid Harba, Raphaël Canals, Roger Lédée, Meryem Jabloun
On the segmentation of plantar foot thermal images with Deep Learning. EUSIPCO (2019)
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) (2018)
Mamadou Dian Bah, Adel Hafiane, Raphaël Canals
Deep Learning with unsupervised data labeling for weeds detection on UAV images. CoRR (2018)
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 (2018)
Mamadou Dian Bah, Adel Hafiane, Raphaël Canals
Weeds detection in UAV imagery using SLIC and the hough transform. IPTA (2017)
Asma Bougrine, Rachid Harba, Raphaël Canals, Roger Lédée, Meryem Jabloun
A joint snake and atlas-based segmentation of plantar foot thermal images. IPTA (2017)
Yang Liu, Andrea Polo, Martha Zequera Diaz, 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)
Luis Vilcahuaman, Rachid Harba, Raphaël Canals, Martha Zequera Diaz, Carlos Wilches, M. T. Arista, L. Torres, Hugo Arbanil
Detection of diabetic foot hyperthermia by infrared imaging. EMBC (2014)
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)
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)
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)
Raphaël Canals, Ali Ganoun, Remy Leconge
Occlusion-handling for improved particle filtering-based tracking. EUSIPCO (2009)
Nouar Ould-Dris, Ali Ganoun, Raphaël Canals
Improved Object Tracking With Camshift Algorithm. ICASSP (2) (2006)
Ali Ganoun, Nouar Ould-Dris, Raphaël Canals
Tracking system using CamShift and feature points. EUSIPCO (2006)
Raphaël Canals, Anthony Roussel, Jean-Luc Famechon, Sylvie Treuillet
A biprocessor-oriented vision-based target tracking system. IEEE Trans. Ind. Electron. 49 (2) (2002)