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ORCIDSaïd Ladjal
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2020 – today
- 2024
[c20]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- [c19]Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Saïd Ladjal:
Deep-Learning Uncertainty Estimation for Data-Consistent Breast Tomosynthesis Reconstruction. ISBI 2024: 1-5 - [i11]Raphaël Achddou, Yann Gousseau, Saïd Ladjal:
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. CoRR abs/2404.07212 (2024) - 2023
- [j14]Raphaël Achddou, Yann Gousseau, Saïd Ladjal:
Fully synthetic training for image restoration tasks. Comput. Vis. Image Underst. 233: 103723 (2023) - [c18]Gwilherm Lesné
, Yann Gousseau, Saïd Ladjal, Alasdair Newson:
A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing. CVMP 2023: 3:1-3:10 - [c17]Raphaël Achddou, Yann Gousseau, Saïd Ladjal:
Learning Raw Image Denoising Using a Parametric Color Image Model. ICIP 2023: 2690-2694 - [c16]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: 1813-1825 - [c15]Raphaël Achddou, Yann Gousseau, Saïd Ladjal:
Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. SSVM 2023: 314-325 - [c14]Khalid Oublal, Saïd Ladjal, David Benhaiem, Emmanuel Le-borgne, François Roueff:
DisCoV: Disentangling Time Series Representations via Contrastive based l-Variational Inference. UniReps 2023: 223-236 - [i10]Gwilherm Lesné, Yann Gousseau, Saïd Ladjal, Alasdair Newson:
A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing. CoRR abs/2312.08256 (2023) - 2022
- [j13]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: 103299 (2022) - [j12]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal:
High-Resolution Neural Texture Synthesis with Long-Range Constraints. J. Math. Imaging Vis. 64(5): 478-492 (2022) - [j11]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): 569-585 (2022) - 2021
- [j10]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): 243-262 (2021) - [j9]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: 102167 (2021) - [c13]Raphaël Achddou, Yann Gousseau, Saïd Ladjal:
Synthetic Images as a Regularity Prior for Image Restoration Neural Networks. SSVM 2021: 333-345 - 2020
- [j8]Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal:
Processing Simple Geometric Attributes with Autoencoders. J. Math. Imaging Vis. 62(3): 293-312 (2020) - [c12]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal:
An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images. ICPR Workshops (3) 2020: 546-561 - [c11]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: 43-53 - [i9]Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson:
PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks. CoRR abs/2006.07827 (2020) - [i8]Nicolas Gonthier, Saïd Ladjal, Yann Gousseau:
Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. CoRR abs/2008.01178 (2020) - [i7]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal:
High resolution neural texture synthesis with long range constraints. CoRR abs/2008.01808 (2020) - [i6]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 abs/2009.14001 (2020) - [i5]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal:
An analysis of the transfer learning of convolutional neural networks for artistic images. CoRR abs/2011.02727 (2020)
2010 – 2019
- 2019
- [c10]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: 608-611 - [i4]Saïd Ladjal, Alasdair Newson, Chi-Hieu Pham:
A PCA-like Autoencoder. CoRR abs/1904.01277 (2019) - [i3]Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal:
Processsing Simple Geometric Attributes with Autoencoders. CoRR abs/1904.07099 (2019) - [i2]Antoine Pirovano, Leandro G. Almeida, Saïd Ladjal:
Regression Constraint for an Explainable Cervical Cancer Classifier. CoRR abs/1908.02650 (2019) - 2018
- [j7]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): 759-776 (2018) - [c9]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait:
Weakly Supervised Object Detection in Artworks. ECCV Workshops (2) 2018: 692-709 - [c8]Cristian Ocampo-Blandon, Yann Gousseau, Saïd Ladjal:
A Non Local Multifocus Image Fusion Scheme for Dynamic Scenes. ICIP 2018: 1877-1881 - [i1]Nicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait:
Weakly Supervised Object Detection in Artworks. CoRR abs/1810.02569 (2018) - 2017
- [c7]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: 5358-5361 - 2015
- [j6]Yann Traonmilin, Saïd Ladjal, Andrés Almansa:
Robust Multi-image Processing with Optimal Sparse Regularization. J. Math. Imaging Vis. 51(3): 413-429 (2015) - 2013
- [c6]Yann Traonmilin, Saïd Ladjal, Andrés Almansa:
Outlier Removal Power of the L1-Norm Super-Resolution. SSVM 2013: 198-209 - 2012
- [c5]Yann Traonmilin, Saïd Ladjal, Andrés Almansa:
On the amount of regularization for super-resolution interpolation. EUSIPCO 2012: 380-384 - 2011
- [j5]Marouan Bouali, Saïd Ladjal:
Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model. IEEE Trans. Geosci. Remote. Sens. 49(8): 2924-2935 (2011) - 2010
- [j4]Jean-François Aujol, Saïd Ladjal, Simon Masnou:
Exemplar-Based Inpainting from a Variational Point of View. SIAM J. Math. Anal. 42(3): 1246-1285 (2010) - [c4]Marouan Bouali, Saïd Ladjal:
A variational approach for the destriping of modis data. IGARSS 2010: 2194-2197
2000 – 2009
- 2008
- [j3]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): 1465-1472 (2008) - 2007
- [j2]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): 2503-2514 (2007) - [c3]Muriel Gastaud, Saïd Ladjal, Henri Maître:
Blind filter identification and image superresolution using subspace methods. EUSIPCO 2007: 1078-1082 - 2006
- [c2]Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maître:
Characteristic Scale in Satellite Images. ICASSP (2) 2006: 809-812 - [c1]Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal:
Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions. IGARSS 2006: 176-179 - 2002
- [j1]Agnès Desolneux, Saïd Ladjal, Lionel Moisan, Jean-Michel Morel:
Dequantizing image orientation. IEEE Trans. Image Process. 11(10): 1129-1140 (2002)
Coauthor Index
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