Adel Hafiane

Orcid: 0000-0003-3185-9996

According to our database1, Adel Hafiane authored at least 80 papers between 2004 and 2024.

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

Timeline

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Bibliography

2024
A weakly supervised end-to-end framework for semantic segmentation of cancerous area in whole slide image.
Pattern Anal. Appl., June, 2024

A novel recursive least-squares adaptive method for streaming tensor-train decomposition with incomplete observations.
Signal Process., March, 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
A Contemporary and Comprehensive Survey on Streaming Tensor Decomposition.
IEEE Trans. Knowl. Data Eng., November, 2023

Tracking online low-rank approximations of higher-order incomplete streaming tensors.
Patterns, June, 2023

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

Explainability in image captioning based on the latent space.
Neurocomputing, 2023

Transfer Learning Enhanced Vision-based Human Activity Recognition: A Decade-long Analysis.
Int. J. Inf. Manag. Data Insights, 2023

Fusion of Satellite Images and Weather Data With Transformer Networks for Downy Mildew Disease Detection.
IEEE Access, 2023

2022
Robust Tensor Tracking With Missing Data and Outliers: Novel Adaptive CP Decomposition and Convergence Analysis.
IEEE Trans. Signal Process., 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

Weakly Supervised Segmentation of Histopathology Images: An Insight in Feature Maps Ability for Learning Models Interpretation.
Proceedings of the 17th International Joint Conference on Computer Vision, 2022

Towards Explainable Deep Learning for Image Captioning through Representation Space Perturbation.
Proceedings of the International Joint Conference on Neural Networks, 2022

Sparse Subspace Tracking in High Dimensions.
Proceedings of the IEEE International Conference on Acoustics, 2022

Robust Tensor Tracking With Missing Data Under Tensor-Train Format.
Proceedings of the 30th European Signal Processing Conference, 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

Shape constraint function for artery tracking in ultrasound images.
Comput. Medical Imaging Graph., 2021

A deep learning based multiscale approach to segment the areas of interest in whole slide images.
Comput. Medical Imaging Graph., 2021

A Fast Randomized Adaptive CP Decomposition For Streaming Tensors.
Proceedings of the IEEE International Conference on Acoustics, 2021

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

A deep learning based multiscale approach to segment cancer area in liver whole slide image.
CoRR, 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

Merged 1D-2D Deep Convolutional Neural Networks for Nerve Detection in Ultrasound Images.
Proceedings of the 25th International Conference on Pattern Recognition, 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

Hybrid combination of Convolutional Neural Network Features for Robust Writer Retrieval of Historical Documents.
Proceedings of the 17th IEEE/ACS International Conference on Computer Systems and Applications, 2020

2019
Robust Adaptive Median Binary Pattern for Noisy Texture Classification and Retrieval.
IEEE Trans. Image Process., 2019

Integrating segmentation with deep learning for enhanced classification of epithelial and stromal tissues in H&E images.
Pattern Recognit. Lett., 2019

Deep visual nerve tracking in ultrasound images.
Comput. Medical Imaging Graph., 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

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

Adaptive median binary patterns for fully automatic nerves tracking in ultrasound images.
Comput. Methods Programs Biomed., 2018

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

Learning Local and Deep Features for Efficient Cell Image Classification Using Random Forests.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

2017
3D Reconstruction of the proximal femur shape from few pairs of x-ray radiographs.
Signal Process. Image Commun., 2017

Deep learning with spatiotemporal consistency for nerve segmentation in ultrasound images.
CoRR, 2017

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

Texture Classification using Multiple Local Descriptors.
Proceedings of the 2017 IEEE Applied Imagery Pattern Recognition Workshop, 2017

2016
Comparative study on texture features for fingerprint recognition: application to the BioHashing template protection scheme.
J. Electronic Imaging, 2016

Assistive system based on nerve detection and needle navigation in ultrasound images for regional anesthesia.
Expert Syst. Appl., 2016

HEp-2 cell classification and segmentation using motif texture patterns and spatial features with random forests.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

On-line learning dynamic models for nerve detection in ultrasound videos.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015
Joint Adaptive Median Binary Patterns for texture classification.
Pattern Recognit., 2015

Ultrasound median nerve localization by classification based on despeckle filtering and feature selection.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Nerve Localization by Machine Learning Framework with New Feature Selection Algorithm.
Proceedings of the Image Analysis and Processing - ICIAP 2015, 2015

A segmentation-based multi-scale framework for the classification of epithelial and stromal tissues in H&E images.
Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

2014
One dimensional local binary pattern for bone texture characterization.
Pattern Anal. Appl., 2014

Phase-based probabilistic active contour for nerve detection in ultrasound images for regional anesthesia.
Comput. Biol. Medicine, 2014

3D reconstruction method of the proximal femur and shape correction.
Proceedings of the 4th International Conference on Image Processing Theory, 2014

Adaptive Median Binary Patterns for Texture Classification.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Nerve Detection in Ultrasound Images Using Median Gabor Binary Pattern.
Proceedings of the Image Analysis and Recognition - 11th International Conference, 2014

2013
A 2D Matching Method for Reconstruction of 3D Proximal Femur using X-ray Images.
Proceedings of the VISAPP 2013, 2013

3D Femur Reconstruction Using X-Ray Stereo Pairs.
Proceedings of the Image Analysis and Processing - ICIAP 2013, 2013

2012
Texture characterization using local binary pattern and wavelets. Application to bone radiographs.
Proceedings of the 3rd International Conference on Image Processing Theory Tools and Applications, 2012

2011
On an image segmentation method for forest fire metrology.
Proceedings of the 7th International Symposium on Image and Signal Processing and Analysis, 2011

Fire scene segmentations for forest fire characterization: A comparative study.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Trabecular Bone Anisotropy Characterization Using 1D Local Binary Patterns.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2010

2009
Evaluation of Level Wet-Based Histology Image Segmentation Using Geometric Region Criteria.
Proceedings of the 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Boston, MA, USA, June 28, 2009

On the Evaluation of Segmentation Methods for Wildland Fire.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2009

2008
Local relational string and mutual matching for image retrieval.
Inf. Process. Manag., 2008

UAV-Video Registration Using Block-Based Features.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2008

Clustering initiated multiphase active contours and robust separation of nuclei groups for tissue segmentation.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Rotationally Invariant Hashing of Median Binary Patterns for Texture Classification.
Proceedings of the Image Analysis and Recognition, 5th International Conference, 2008

Fuzzy Clustering and Active Contours for Histopathology Image Segmentation and Nuclei Detection.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2008

2007
Median Binary Pattern for Textures Classification.
Proceedings of the Image Analysis and Recognition, 4th International Conference, 2007

Comparative study of texture feature for rotation invariant RECOGNITION.
Proceedings of the 15th European Signal Processing Conference, 2007

A New Supervised Evaluation Criterion for Region Based Segmentation Methods.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2007

2006
Region-based CBIR in GIS with local space filling curves to spatial representation.
Pattern Recognit. Lett., 2006

Local Relational String for Textures Classification.
Proceedings of the International Conference on Image Processing, 2006

2005
Caracterisation de Textures et Segmentation pour la recherche d'images par le contenu. (Texture characterization and Segmentation for Content Based Image Retrieval).
PhD thesis, 2005

A modified FCM with optimal Peano scans for image segmentation.
Proceedings of the 2005 International Conference on Image Processing, 2005

FCM with Spatial and Multiresolution Constraints for Image Segmentation.
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Application des courbes de Peano en recherche d'image par le contenu.
Proceedings of the Extraction des connaissances : Etat et perspectives (Ateliers de la conférence EGC'2005), 2005

2004
Automating GIS Image Retrieval Based on MCM.
Proceedings of the Image Analysis and Recognition: International Conference, 2004


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