Saïd Ladjal - RankMe

51 papers A* 1B 2C 4Journal 30Unranked 14

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Super-résolution non supervisée d'images hyperspectrales de télédétection utilisant un entraînement entièrement synthétique. CoRR Xinxin Xu, Yann Gousseau, Christophe Kervazo, Saïd Ladjal
2026	J	`jnl`	Synthetic Abundance Maps for Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images. CoRR Xinxin Xu, Yann Gousseau, Christophe Kervazo, Saïd Ladjal
2026	J	`jnl`	Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images Using Fully Synthetic Training. CoRR Xinxin Xu, Yann Gousseau, Christophe Kervazo, Saïd Ladjal
2025	J	`jnl`	Neural Film Grain Rendering. Comput. Graph. Forum Gwilherm Lesné, Yann Gousseau, Saïd Ladjal, Alasdair Newson
2025	J	`jnl`	VibrantLeaves: A principled parametric image generator for training deep restoration models. CoRR Raphaël Achddou, Yann Gousseau, Saïd Ladjal, Sabine Süsstrunk
2024	—	`conf`	Deep-Learning Uncertainty Estimation for Data-Consistent Breast Tomosynthesis Reconstruction. ISBI Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Saïd Ladjal
2024	A*	`conf`	Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference. ICLR Khalid Oublal, Saïd Ladjal, David Benhaiem, Emmanuel Le-borgne, François Roueff
2024	J	`jnl`	Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. CoRR Raphaël Achddou, Yann Gousseau, Saïd Ladjal
2024	—	`conf`	Unsupervised Super-Resolution of Hyperspectral Remote Sensing Images Using Fully Synthetic Training. WHISPERS Xinxin Xu, Yann Gousseau, Christophe Kervazo, Saïd Ladjal
2023	—	`conf`	A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing. CVMP Gwilherm Lesné, Yann Gousseau, Saïd Ladjal, Alasdair Newson
2023	J	`jnl`	A Compact and Semantic Latent Space for Disentangled and Controllable Image Editing. CoRR Gwilherm Lesné, Yann Gousseau, Saïd Ladjal, Alasdair Newson
2023	—	`conf`	A deep learning method trained on synthetic data for digital breast tomosynthesis reconstruction. MIDL Arnaud Quillent, Vincent Jonas Bismuth, Isabelle Bloch, Christophe Kervazo, Saïd Ladjal
2023	—	`conf`	DisCoV: Disentangling Time Series Representations via Contrastive based l-Variational Inference. UniReps Khalid Oublal, Saïd Ladjal, David Benhaiem, Emmanuel Le-borgne, François Roueff
2023	J	`jnl`	Fully synthetic training for image restoration tasks. Comput. Vis. Image Underst. Raphaël Achddou, Yann Gousseau, Saïd Ladjal
2023	—	`conf`	Hybrid Training of Denoising Networks to Improve the Texture Acutance of Digital Cameras. SSVM Raphaël Achddou, Yann Gousseau, Saïd Ladjal
2023	B	`conf`	Learning Raw Image Denoising Using a Parametric Color Image Model. ICIP Raphaël Achddou, Yann Gousseau, Saïd Ladjal
2022	J	`jnl`	High-Resolution Neural Texture Synthesis with Long-Range Constraints. J. Math. Imaging Vis. Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
2022	J	`jnl`	Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. Comput. Vis. Image Underst. Nicolas Gonthier, Saïd Ladjal, Yann Gousseau
2022	J	`jnl`	PCA-AE: Principal Component Analysis Autoencoder for Organising the Latent Space of Generative Networks. J. Math. Imaging Vis. Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson
2021	J	`jnl`	Automatic Feature Selection for Improved Interpretability on Whole Slide Imaging. Mach. Learn. Knowl. Extr. Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch
2021	J	`jnl`	Computer-aided diagnosis tool for cervical cancer screening with weakly supervised localization and detection of abnormalities using adaptable and explainable classifier. Medical Image Anal. Antoine Pirovano, Leandro G. Almeida, Saïd Ladjal, Isabelle Bloch, Sylvain Berlemont
2021	—	`conf`	Synthetic Images as a Regularity Prior for Image Restoration Neural Networks. SSVM Raphaël Achddou, Yann Gousseau, Saïd Ladjal
2020	—	`conf`	An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images. ICPR Workshops (3) Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
2020	J	`jnl`	An analysis of the transfer learning of convolutional neural networks for artistic images. CoRR Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
2020	J	`jnl`	High resolution neural texture synthesis with long range constraints. CoRR Nicolas Gonthier, Yann Gousseau, Saïd Ladjal
2020	—	`conf`	Improving Interpretability for Computer-Aided Diagnosis Tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-Based Explanations. iMIMIC/MIL3ID/LABELS@MICCAI Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch
2020	J	`jnl`	Improving Interpretability for Computer-aided Diagnosis tools on Whole Slide Imaging with Multiple Instance Learning and Gradient-based Explanations. CoRR Antoine Pirovano, Hippolyte Heuberger, Sylvain Berlemont, Saïd Ladjal, Isabelle Bloch
2020	J	`jnl`	Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts. CoRR Nicolas Gonthier, Saïd Ladjal, Yann Gousseau
2020	J	`jnl`	PCAAE: Principal Component Analysis Autoencoder for organising the latent space of generative networks. CoRR Chi-Hieu Pham, Saïd Ladjal, Alasdair Newson
2020	J	`jnl`	Processing Simple Geometric Attributes with Autoencoders. J. Math. Imaging Vis. Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal
2019	J	`jnl`	A PCA-like Autoencoder. CoRR Saïd Ladjal, Alasdair Newson, Chi-Hieu Pham
2019	J	`jnl`	Processsing Simple Geometric Attributes with Autoencoders. CoRR Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal
2019	J	`jnl`	Regression Constraint for an Explainable Cervical Cancer Classifier. CoRR Antoine Pirovano, Leandro G. Almeida, Saïd Ladjal
2019	C	`conf`	Resolution-Preserving Speckle Reduction of SAR Images: The Benefits of Speckle Decorrelation and Targets Extraction. IGARSS Rémy Abergel, Loïc Denis, Florence Tupin, Saïd Ladjal, Charles-Alban Deledalle, Andrés Almansa
2018	B	`conf`	A Non Local Multifocus Image Fusion Scheme for Dynamic Scenes. ICIP Cristian Ocampo-Blandon, Yann Gousseau, Saïd Ladjal
2018	J	`jnl`	Subpixellic Methods for Sidelobes Suppression and Strong Targets Extraction in Single Look Complex SAR Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Rémy Abergel, Loïc Denis, Saïd Ladjal, Florence Tupin
2018	—	`conf`	Weakly Supervised Object Detection in Artworks. ECCV Workshops (2) Nicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait
2018	J	`jnl`	Weakly Supervised Object Detection in Artworks. CoRR Nicolas Gonthier, Yann Gousseau, Saïd Ladjal, Olivier Bonfait
2017	C	`conf`	A complex spectrum based SAR image resampling method with restricted target sidelobes and statistics preservation. IGARSS Rémy Abergel, Saïd Ladjal, Florence Tupin, Jean-Marie Nicolas
2015	J	`jnl`	Robust Multi-image Processing with Optimal Sparse Regularization. J. Math. Imaging Vis. Yann Traonmilin, Saïd Ladjal, Andrés Almansa
2013	—	`conf`	Outlier Removal Power of the L1-Norm Super-Resolution. SSVM Yann Traonmilin, Saïd Ladjal, Andrés Almansa
2012	—	`conf`	On the amount of regularization for super-resolution interpolation. EUSIPCO Yann Traonmilin, Saïd Ladjal, Andrés Almansa
2011	J	`jnl`	Toward Optimal Destriping of MODIS Data Using a Unidirectional Variational Model. IEEE Trans. Geosci. Remote. Sens. Marouan Bouali, Saïd Ladjal
2010	C	`conf`	A variational approach for the destriping of modis data. IGARSS Marouan Bouali, Saïd Ladjal
2010	J	`jnl`	Exemplar-Based Inpainting from a Variational Point of View. SIAM J. Math. Anal. Jean-François Aujol, Saïd Ladjal, Simon Masnou
2008	J	`jnl`	Indexing of Satellite Images With Different Resolutions by Wavelet Features. IEEE Trans. Image Process. Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal
2007	—	`conf`	Blind filter identification and image superresolution using subspace methods. EUSIPCO Muriel Gastaud, Saïd Ladjal, Henri Maître
2007	J	`jnl`	Resolution-Independent Characteristic Scale Dedicated to Satellite Images. IEEE Trans. Image Process. Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maître
2006	—	`conf`	Characteristic Scale in Satellite Images. ICASSP (2) Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal, Henri Maître
2006	C	`conf`	Extrapolation of Wavelet Features for the Indexing of Satellite Images with Different Resolutions. IGARSS Bin Luo, Jean-François Aujol, Yann Gousseau, Saïd Ladjal
2002	J	`jnl`	Dequantizing image orientation. IEEE Trans. Image Process. Agnès Desolneux, Saïd Ladjal, Lionel Moisan, Jean-Michel Morel