Saïd Ladjal

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 32

Top Topics

Variational Inference

Weakly Supervised

Image Restoration

Multiple Instance Learning

Top Venues

J. Math. Imaging Vis.

Publications

Raphaël Achddou, Yann Gousseau, Saïd Ladjal
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. CoRR (2024)
Khalid Oublal, Saïd Ladjal, David Benhaiem, Emmanuel Le-borgne, François Roueff
Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference. ICLR (2024)
Khalid Oublal, Saïd Ladjal, David Benhaiem, Emmanuel Le-borgne, François Roueff
DisCoV: Disentangling Time Series Representations via Contrastive based l-Variational Inference. UniReps (2023)
Gwilherm Lesné, Yann Gousseau, Saïd Ladjal, Alasdair Newson
A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing. CoRR (2023)
Raphaël Achddou, Yann Gousseau, Saïd Ladjal
Fully synthetic training for image restoration tasks. Comput. Vis. Image Underst. 233 (2023)
Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Saïd Ladjal
A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction. MIDL (2023)
Raphaël Achddou, Yann Gousseau, Saïd Ladjal
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. SSVM (2023)
Gwilherm Lesné, Yann Gousseau, Saïd Ladjal, Alasdair Newson
A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing. CVMP (2023)
Raphaël Achddou, Yann Gousseau, Saïd Ladjal
Learning Raw Image Denoising Using a Parametric Color Image Model. ICIP (2023)
Nicolas Gonthier, Saïd Ladjal, Yann Gousseau
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. Comput. Vis. Image Underst. 214 (2022)
Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
High-Resolution Neural Texture Synthesis with Long-Range Constraints. J. Math. Imaging Vis. 64 (5) (2022)
Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson
PCA-AE: Principal Component Analysis Autoencoder for Organising the Latent Space of Generative Networks. J. Math. Imaging Vis. 64 (5) (2022)
Raphaël Achddou, Yann Gousseau, Saïd Ladjal
Synthetic Images as a Regularity Prior for Image Restoration Neural Networks. SSVM (2021)
Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch
Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging. Mach. Learn. Knowl. Extr. 3 (1) (2021)
Antoine Pirovano, Leandro G. Almeida, Saïd Ladjal, Isabelle Bloch, Sylvain Berlemont
Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier. Medical Image Anal. 73 (2021)
Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal
Processing Simple Geometric Attributes with Autoencoders. J. Math. Imaging Vis. 62 (3) (2020)
Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
High resolution neural texture synthesis with long range constraints. CoRR (2020)
Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks. CoRR (2020)
Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images. ICPR Workshops (3) (2020)
Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
An analysis of the transfer learning of convolutional neural networks for artistic images. CoRR (2020)
Nicolas Gonthier, Saïd Ladjal, Yann Gousseau
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. CoRR (2020)
Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch
Improving Interpretability for Computer-Aided Diagnosis Tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-Based Explanations. iMIMIC/MIL3ID/LABELS@MICCAI (2020)
Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch
Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations. CoRR (2020)
Rémy Abergel, Loïc Denis, Florence Tupin, Saïd Ladjal, Charles-Alban Deledalle, Andrés Almansa
Resolution-Preserving Speckle Reduction of SAR Images: The Benefits of Speckle Decorrelation and Targets Extraction. IGARSS (2019)
Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal
Processsing Simple Geometric Attributes with Autoencoders. CoRR (2019)
Saïd Ladjal, Alasdair Newson, Chi-Hieu Pham
A PCA-like Autoencoder. CoRR (2019)
Antoine Pirovano, Leandro G. Almeida, Saïd Ladjal
Regression Constraint for an Explainable Cervical Cancer Classifier. CoRR (2019)
Rémy Abergel, Loïc Denis, Saïd Ladjal, Florence Tupin
Subpixellic Methods for Sidelobes Suppression and Strong Targets Extraction in Single Look Complex SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11 (3) (2018)
Nicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait
Weakly Supervised Object Detection in Artworks. ECCV Workshops (2) (2018)
Cristian Ocampo-Blandon, Yann Gousseau, Saïd Ladjal
A Non Local Multifocus Image Fusion Scheme for Dynamic Scenes. ICIP (2018)
Nicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait
Weakly Supervised Object Detection in Artworks. CoRR (2018)
Rémy Abergel, Saïd Ladjal, Florence Tupin, Jean-Marie Nicolas
A complex spectrum based SAR image resampling method with restricted target sidelobes and statistics preservation. IGARSS (2017)
Yann Traonmilin, Saïd Ladjal, Andrés Almansa
Robust Multi-image Processing with Optimal Sparse Regularization. J. Math. Imaging Vis. 51 (3) (2015)
Yann Traonmilin, Saïd Ladjal, Andrés Almansa
Outlier Removal Power of the L1-Norm Super-Resolution. SSVM (2013)
Yann Traonmilin, Saïd Ladjal, Andrés Almansa
On the amount of regularization for super-resolution interpolation. EUSIPCO (2012)
Marouan Bouali, Saïd Ladjal
Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model. IEEE Trans. Geosci. Remote. Sens. 49 (8) (2011)
Jean-François Aujol, Saïd Ladjal, Simon Masnou
Exemplar-Based Inpainting from a Variational Point of View. SIAM J. Math. Anal. 42 (3) (2010)
Marouan Bouali, Saïd Ladjal
A variational approach for the destriping of modis data. IGARSS (2010)
Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal
Indexing of Satellite Images With Different Resolutions by Wavelet Features. IEEE Trans. Image Process. 17 (8) (2008)
Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maître
Resolution-Independent Characteristic Scale Dedicated to Satellite Images. IEEE Trans. Image Process. 16 (10) (2007)
Muriel Gastaud, Saïd Ladjal, Henri Maître
Blind filter identification and image superresolution using subspace methods. EUSIPCO (2007)
Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal
Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions. IGARSS (2006)
Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maître
Characteristic Scale in Satellite Images. ICASSP (2) (2006)
Agnès Desolneux, Saïd Ladjal, Lionel Moisan, Jean-Michel Morel
Dequantizing image orientation. IEEE Trans. Image Process. 11 (10) (2002)