Raphaël Canals

Orcid: 0000-0001-9100-7539

According to our database1, Raphaël Canals authored at least 31 papers between 2002 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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Online presence:

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Bibliography

2024
ConvNeXt based semi-supervised approach with consistency regularization for weeds classification.
Expert Syst. Appl., 2024

Enhancing DeepLabV3+ for aerial image semantic segmentation using weighted upsampling.
Proceedings of the 12th IEEE International Symposium on Signal, 2024

2023
Hierarchical graph representation for unsupervised crop row detection in images.
Expert Syst. Appl., April, 2023

2022
Segmentation of Plantar Foot Thermal Images Using Prior Information.
Sensors, 2022

Transformer Neural Network for Weed and Crop Classification of High Resolution UAV Images.
Remote. Sens., 2022

Generative-Model-Based Data Labeling for Deep Network Regression: Application to Seed Maturity Estimation from UAV Multispectral Images.
Remote. Sens., 2022

Generative models-based data labeling for deep networks regression: application to seed maturity estimation from UAV multispectral images.
CoRR, 2022

2021
Computer Vision, IoT and Data Fusion for Crop Disease Detection Using Machine Learning: A Survey and Ongoing Research.
Remote. Sens., 2021

Vision Transformers For Weeds and Crops Classification Of High Resolution UAV Images.
CoRR, 2021

2020
VddNet: Vine Disease Detection Network Based on Multispectral Images and Depth Map.
Remote. Sens., 2020

Vine disease detection in UAV multispectral images using optimized image registration and deep learning segmentation approach.
Comput. Electron. Agric., 2020

CRowNet: Deep Network for Crop Row Detection in UAV Images.
IEEE Access, 2020

Segmentation of plantar foot thermal images: application to diabetic foot diagnosis.
Proceedings of the 2020 International Conference on Systems, Signals and Image Processing, 2020

Deep Transfer Learning Models for Tomato Disease Detection.
Proceedings of the Image and Signal Processing - 9th International Conference, 2020

Vine Disease Detection by Deep Learning Method Combined with 3D Depth Information.
Proceedings of the Image and Signal Processing - 9th International Conference, 2020

2019
Deep features and One-class classification with unsupervised data for weed detection in UAV images.
Proceedings of the Ninth International Conference on Image Processing Theory, 2019

On the segmentation of plantar foot thermal images with Deep Learning.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Deep Learning with Unsupervised Data Labeling for Weed Detection in Line Crops in UAV Images.
Remote. Sens., 2018

Deep Learning with unsupervised data labeling for weeds detection on UAV images.
CoRR, 2018

Deep leaning approach with colorimetric spaces and vegetation indices for vine diseases detection in UAV images.
Comput. Electron. Agric., 2018

2017
A joint snake and atlas-based segmentation of plantar foot thermal images.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Weeds detection in UAV imagery using SLIC and the hough transform.
Proceedings of the Seventh International Conference on Image Processing Theory, 2017

2016
Detection of diabetic foot hyperthermia by using a regionalization method, based on the plantar angiosomes, on infrared images.
Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2016

2014
Detection of diabetic foot hyperthermia by infrared imaging.
Proceedings of the 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2014

2013
Robust Descriptors Fusion for Pedestrians' Re-identification and Tracking Across a Camera Network.
Proceedings of the VISAPP 2013, 2013

Indoor navigation assistance with a Smartphone camera based on vanishing points.
Proceedings of the International Conference on Indoor Positioning and Indoor Navigation, 2013

2012
Comparative study between color texture and shape descriptors for multi-camera pedestrians identification.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012

2009
Occlusion-handling for improved particle filtering-based tracking.
Proceedings of the 17th European Signal Processing Conference, 2009

2006
Improved Object Tracking With Camshift Algorithm.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Tracking system using CamShift and feature points.
Proceedings of the 14th European Signal Processing Conference, 2006

2002
A biprocessor-oriented vision-based target tracking system.
IEEE Trans. Ind. Electron., 2002


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