Saïd Ladjal

Orcid: 0000-0002-7205-4898

According to our database1, Saïd Ladjal authored at least 38 papers between 2002 and 2024.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2024
Deep-Learning Uncertainty Estimation for Data-Consistent Breast Tomosynthesis Reconstruction.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Fully synthetic training for image restoration tasks.
Comput. Vis. Image Underst., August, 2023

DisCoV: Disentangling Time Series Representations via Contrastive based l-Variational Inference.
Proceedings of UniReps: the First Workshop on Unifying Representations in Neural Models, 2023

Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction.
Proceedings of the Medical Imaging with Deep Learning, 2023

Learning Raw Image Denoising Using a Parametric Color Image Model.
Proceedings of the IEEE International Conference on Image Processing, 2023

A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing.
Proceedings of the 20th ACM SIGGRAPH European Conference on Visual Media Production, 2023

2022
PCA-AE: Principal Component Analysis Autoencoder for Organising the Latent Space of Generative Networks.
J. Math. Imaging Vis., 2022

High-Resolution Neural Texture Synthesis with Long-Range Constraints.
J. Math. Imaging Vis., 2022

Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts.
Comput. Vis. Image Underst., 2022

2021
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier.
Medical Image Anal., 2021

Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging.
Mach. Learn. Knowl. Extr., 2021

Synthetic Images as a Regularity Prior for Image Restoration Neural Networks.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020
Processing Simple Geometric Attributes with Autoencoders.
J. Math. Imaging Vis., 2020

PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks.
CoRR, 2020

Improving Interpretability for Computer-Aided Diagnosis Tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-Based Explanations.
Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020

An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

2019
Regression Constraint for an Explainable Cervical Cancer Classifier.
CoRR, 2019

Processsing Simple Geometric Attributes with Autoencoders.
CoRR, 2019

A PCA-like Autoencoder.
CoRR, 2019

Resolution-Preserving Speckle Reduction of SAR Images: The Benefits of Speckle Decorrelation and Targets Extraction.
Proceedings of the 2019 IEEE International Geoscience and Remote Sensing Symposium, 2019

2018
Subpixellic Methods for Sidelobes Suppression and Strong Targets Extraction in Single Look Complex SAR Images.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2018

A Non Local Multifocus Image Fusion Scheme for Dynamic Scenes.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Weakly Supervised Object Detection in Artworks.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
A complex spectrum based SAR image resampling method with restricted target sidelobes and statistics preservation.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2015
Robust Multi-image Processing with Optimal Sparse Regularization.
J. Math. Imaging Vis., 2015

2013
Outlier Removal Power of the L1-Norm Super-Resolution.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2012
On the amount of regularization for super-resolution interpolation.
Proceedings of the 20th European Signal Processing Conference, 2012

2011
Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model.
IEEE Trans. Geosci. Remote. Sens., 2011

2010
Exemplar-Based Inpainting from a Variational Point of View.
SIAM J. Math. Anal., 2010

A variational approach for the destriping of modis data.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2008
Indexing of Satellite Images With Different Resolutions by Wavelet Features.
IEEE Trans. Image Process., 2008

2007
Resolution-Independent Characteristic Scale Dedicated to Satellite Images.
IEEE Trans. Image Process., 2007

Blind filter identification and image superresolution using subspace methods.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2006

Characteristic Scale in Satellite Images.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2002
Dequantizing image orientation.
IEEE Trans. Image Process., 2002


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