Enhancement of Fingerprint Images using Shape-Adapted Scale-Space Operators. - Andrés Almansa; Tony Lindeberg (Gaussian Scale-Space Theory, 1997)

Fingerprint image matching by minimization of a thin-plate energy using a two-step algorithm with auxiliary variables. - Andrés Almansa; Laurent D. Cohen (WACV, 2000)

Fingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection. - Andrés Almansa; Tony Lindeberg (IEEE Trans. Image Process., 2000)

Interpolation of digital elevation models using AMLE and related methods. - Andrés Almansa; Frédéric Cao; Yann Gousseau; Bernard Rougé (IEEE Trans. Geosci. Remote. Sens., 2002)

Sampling, interpolation and detection. Applications in satellite imaging. (Echantillonnage, interpolation et détection. Applications en imagerie satellitaire). - Andrés Almansa (2002)

Image resolution measure with applications to restoration and zoom. - Andrés Almansa (IGARSS, 2003)

Vanishing Point Detection without Any A Priori Information. - Andrés Almansa; Agnès Desolneux; Sébastien Vamech (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Measuring and Improving Image Resolution by Adaptation of the Reciprocal Cell. - Andrés Almansa; Sylvain Durand; Bernard Rougé (J. Math. Imaging Vis., 2004)

Constrained Anisotropic Diffusion and some Applications. - Gabriele Facciolo; Federico Lecumberry; Andrés Almansa; Alvaro Pardo; Vicent Caselles; Bernard Rougé (BMVC, 2006)

Restoration and Zoom of Irregularly Sampled, Blurred, and Noisy Images by Accurate Total Variation Minimization with Local Constraints. - Andrés Almansa; Vicent Caselles; Gloria Haro; Bernard Rougé (Multiscale Model. Simul., 2006)

A TV Based Restoration Model with Local Constraints. - Andrés Almansa; Coloma Ballester; Vicent Caselles; Gloria Haro (J. Sci. Comput., 2008)

Morphological Shape Context: Semi-locality and Robust Matching in Shape Recognition. - Mariano Tepper; Francisco Gómez Fernández; Pablo Musé; Andrés Almansa; Marta Mejail (CIARP, 2009)

Irregular to Regular Sampling, Denoising, and Deconvolution. - Gabriele Facciolo; Andrés Almansa; Jean-François Aujol; Vicent Caselles (Multiscale Model. Simul., 2009)

Deblurring of irregularly sampled images by TV regularization in a spline space. - Andrés Almansa; Julien Caron; Sylvain Durand (ICIP, 2010)

Fast plane detection in disparity maps. - Eric Bughin; Andrés Almansa; Rafael Grompone von Gioi; Yohann Tendero (ICIP, 2010)

Discarding moving objects in quasi-simultaneous stereovision. - Neus Sabater; Jean-Michel Morel; Andrés Almansa; Gwendoline Blanchet (ICIP, 2010)

Sub-pixel stereo matching. - Neus Sabater; Jean-Michel Morel; Andrés Almansa (IGARSS, 2010)

Meaningful Clustered Forest: an Automatic and Robust Clustering Algorithm - Mariano Tepper; Pablo Musé; Andrés Almansa (CoRR, 2011)

Automatically finding clusters in normalized cuts. - Mariano Tepper; Pablo Musé; Andrés Almansa; Marta Mejail (Pattern Recognit., 2011)

How Accurate Can Block Matches Be in Stereo Vision? - Neus Sabater; Jean-Michel Morel; Andrés Almansa (SIAM J. Imaging Sci., 2011)

Non Local Point Set Surfaces. - Thierry Guillemot; Andrés Almansa; Tamy Boubekeur (3DIMPVT, 2012)

Finding Edges by a Contrario Detection of Periodic Subsequences. - Mariano Tepper; Pablo Musé; Andrés Almansa; Marta Mejail (CIARP, 2012)

Adaptive line scratch detection in degraded films. - Alasdair Newson; Patrick Pérez; Andrés Almansa; Yann Gousseau (CVMP, 2012)

On the amount of regularization for super-resolution interpolation. - Yann Traonmilin; Saïd Ladjal; Andrés Almansa (EUSIPCO, 2012)

Sparsity-based restoration of SMOS images in the presence of outliers. - Javier Preciozzi; Pablo Musé; Andrés Almansa; Sylvain Durand; François Cabot; Yann H. Kerr; Ali Khazaal; Bernard Rougé (IGARSS, 2012)

The Non-parametric Sub-pixel Local Point Spread Function Estimation Is a Well Posed Problem. - Mauricio Delbracio; Pablo Musé; Andrés Almansa; Jean-Michel Morel (Int. J. Comput. Vis., 2012)

Non-parametric Sub-pixel Local Point Spread Function Estimation. - Mauricio Delbracio; Pablo Musé; Andrés Almansa (Image Process. Line, 2012)

Meaningful Matches in Stereovision. - Neus Sabater; Andrés Almansa; Jean-Michel Morel (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

Subpixel Point Spread Function Estimation from Two Photographs at Different Distances. - Mauricio Delbracio; Andrés Almansa; Jean-Michel Morel; Pablo Musé (SIAM J. Imaging Sci., 2012)

Boruvka Meets Nearest Neighbors. - Mariano Tepper; Pablo Musé; Andrés Almansa; Marta Mejail (CIARP (2), 2013)

Towards fast, generic video inpainting. - Alasdair Newson; Andrés Almansa; Matthieu Fradet; Yann Gousseau; Patrick Pérez (CVMP, 2013)

Temporal filtering of line scratch detections in degraded films. - Alasdair Newson; Andrés Almansa; Yann Gousseau; Patrick Pérez (ICIP, 2013)

Outlier Removal Power of the L1-Norm Super-Resolution. - Yann Traonmilin; Saïd Ladjal; Andrés Almansa (SSVM, 2013)

Recovering the Subpixel PSF from Two Photographs at Different Distances. - Mauricio Delbracio; Andrés Almansa; Pablo Musé (Image Process. Line, 2013)

Covariance Trees for 2D and 3D Processing. - Thierry Guillemot; Andrés Almansa; Tamy Boubekeur (CVPR, 2014)

Single shot high dynamic range imaging using piecewise linear estimators. - Cecilia Aguerrebere; Andrés Almansa; Yann Gousseau; Julie Delon; Pablo Musé (ICCP, 2014)

SMOS images restoration from L1A data: A sparsity-based variational approach. - Javier Freciozzi; Pablo Musé; Andrés Almansa; Sylvain Durand; Ali Khazaal; Bernard Rougé (IGARSS, 2014)

On the Role of Contrast and Regularity in Perceptual Boundary Saliency. - Mariano Tepper; Pablo Musé; Andrés Almansa (J. Math. Imaging Vis., 2014)

Finding contrasted and regular edges by a contrario detection of periodic subsequences. - Mariano Tepper; Pablo Musé; Andrés Almansa; Marta Mejail (Pattern Recognit., 2014)

Video Inpainting of Complex Scenes. - Alasdair Newson; Andrés Almansa; Matthieu Fradet; Yann Gousseau; Patrick Pérez (SIAM J. Imaging Sci., 2014)

Robust Automatic Line Scratch Detection in Films. - Alasdair Newson; Andrés Almansa; Yann Gousseau; Patrick Pérez (IEEE Trans. Image Process., 2014)

Robust Multi-image Processing with Optimal Sparse Regularization. - Yann Traonmilin; Saïd Ladjal; Andrés Almansa (J. Math. Imaging Vis., 2015)

Penalizing local correlations in the residual improves image denoising performance. - Paul Riot; Andrés Almansa; Yann Gousseau; Florence Tupin (EUSIPCO, 2016)

Motion-consistent video inpainting. - Thuc Trinh Le; Andrés Almansa; Yann Gousseau; Simon Masnou (ICIP, 2017)

Demonstration abstract: Motion-consistent video inpainting. - Thuc Trink Le; Andrés Almansa; Yann Gousseau; Simon Masnou (ICIP, 2017)

Joint denoising and decompression: A patch-based Bayesian approach. - Javier Preciozzi; Mario González 002; Andrés Almansa; Pablo Musé (ICIP, 2017)

A Correlation-Based Dissimilarity Measure for Noisy Patches. - Paul Riot; Andrés Almansa; Yann Gousseau; Florence Tupin (SSVM, 2017)

Non-Local Patch-Based Image Inpainting. - Alasdair Newson; Andrés Almansa; Yann Gousseau; Patrick Pérez (Image Process. Line, 2017)

Demystifying the Asymptotic Behavior of Global Denoising. - Antoine Houdard; Andrés Almansa; Julie Delon (J. Math. Imaging Vis., 2017)

A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, With an Application to HDR Imaging. - Cecilia Aguerrebere; Andrés Almansa; Julie Delon; Yann Gousseau; Pablo Musé (IEEE Trans. Computational Imaging, 2017)

Fast and Accurate Multiplicative Decomposition for Fringe Removal in Interferometric Images. - Daniel-Chen Soncco; Clara Barbanson; Mila Nikolova; Andrés Almansa; Yann Ferrec (IEEE Trans. Computational Imaging, 2017)

A Sparsity-Based Variational Approach for the Restoration of SMOS Images From L1A Data. - Javier Preciozzi; Andrés Almansa; Pablo Musé; Sylvain Durand; Ali Khazaal; Bernard Rougé (IEEE Trans. Geosci. Remote. Sens., 2017)

Joint denoising and decompression using CNN regularization. - Mario González 002; Javier Preciozzi; Pablo Musé; Andrés Almansa (CVPR Workshops, 2018)

Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks? - Marcela Carvalho; Bertrand Le Saux; Pauline Trouvé-Peloux; Andrés Almansa; Frédéric Champagnat (ECCV Workshops (1), 2018)

On Regression Losses for Deep Depth Estimation. - Marcela Carvalho; Bertrand Le Saux; Pauline Trouvé-Peloux; Andrés Almansa; Frédéric Champagnat (ICIP, 2018)

Removing objects from videos with a few strokes. - Thuc Trinh Le; Andrés Almansa; Yann Gousseau; Simon Masnou (SIGGRAPH Asia Technical Briefs, 2018)

Resolution-Preserving Speckle Reduction of SAR Images: The Benefits of Speckle Decorrelation and Targets Extraction. - Rémy Abergel; Loïc Denis; Florence Tupin; Saïd Ladjal; Charles-Alban Deledalle; Andrés Almansa (IGARSS, 2019)

Processsing Simple Geometric Attributes with Autoencoders. - Alasdair Newson; Andrés Almansa; Yann Gousseau; Saïd Ladjal (CoRR, 2019)

Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior. - Mario González 002; Andrés Almansa; Mauricio Delbracio; Pablo Musé; Pauline Tan (CoRR, 2019)

Multi-Task Learning of Height and Semantics from Aerial Images. - Marcela Carvalho; Bertrand Le Saux; Pauline Trouvé-Peloux; Frédéric Champagnat; Andrés Almansa (CoRR, 2019)

Object removal from complex videos using a few annotations. - Thuc Trinh Le; Andrés Almansa; Yann Gousseau; Simon Masnou (Comput. Vis. Media, 2019)

Processing Simple Geometric Attributes with Autoencoders. - Alasdair Newson; Andrés Almansa; Yann Gousseau; Saïd Ladjal (J. Math. Imaging Vis., 2020)

Multitask Learning of Height and Semantics From Aerial Images. - Marcela Carvalho; Bertrand Le Saux; Pauline Trouvé-Peloux; Frédéric Champagnat; Andrés Almansa (IEEE Geosci. Remote. Sens. Lett., 2020)

Learning Local Regularization for Variational Image Restoration. - Jean Prost; Antoine Houdard; Andrés Almansa; Nicolas Papadakis (SSVM, 2021)

A Patch-Based Algorithm for Diverse and High Fidelity Single Image Generation. - Nicolas Cherel; Andrés Almansa; Yann Gousseau; Alasdair Newson (ICIP, 2022)

Diverse super-resolution with pretrained deep hiererarchical VAEs. - Jean Prost; Antoine Houdard; Nicolas Papadakis; Andrés Almansa (CoRR, 2022)

Video Restoration with a Deep Plug-and-Play Prior. - Antoine Monod; Julie Delon; Matias Tassano; Andrés Almansa (CoRR, 2022)

Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie. - Rémi Laumont; Valentin De Bortoli; Andrés Almansa; Julie Delon; Alain Durmus; Marcelo Pereyra (SIAM J. Imaging Sci., 2022)

Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior. - Mario González 002; Andrés Almansa; Pauline Tan (SIAM J. Imaging Sci., 2022)

Provably Convergent Plug & Play Linearized ADMM, Applied to Deblurring Spatially Varying Kernels. - Charles Laroche; Andrés Almansa; Eva Coupeté; Matias Tassano (ICASSP, 2023)

Inverse problem regularization with hierarchical variational autoencoders. - Jean Prost; Antoine Houdard; Andrés Almansa; Nicolas Papadakis (ICCV, 2023)

Deep Model-Based Super-Resolution with Non-uniform Blur. - Charles Laroche; Andrés Almansa; Matias Tassano (WACV, 2023)

Infusion: Internal Diffusion for Video Inpainting. - Nicolas Cherel; Andrés Almansa; Yann Gousseau; Alasdair Newson (CoRR, 2023)

On Maximum a Posteriori Estimation with Plug & Play Priors and Stochastic Gradient Descent. - Rémi Laumont; Valentin De Bortoli; Andrés Almansa; Julie Delon; Alain Durmus; Marcelo Pereyra (J. Math. Imaging Vis., 2023)

Diffusion-Based Image Inpainting with Internal Learning. - Nicolas Cherel; Andrés Almansa; Yann Gousseau; Alasdair Newson (EUSIPCO, 2024)

Hyperspectral Signal Reconstruction from Interferometric Measurements with Enriched Fourier Bases. - Yassine Mhiri; Rémy Abergel; Andrés Almansa; Lionel Moisan (EUSIPCO, 2024)

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. - Marien Renaud; Jiaming Liu 001; Valentin De Bortoli; Andrés Almansa; Ulugbek Kamilov (ICLR, 2024)

Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior. - Jean Prost; Antoine Houdard; Andrés Almansa; Nicolas Papadakis (VISIGRAPP (3): VISAPP, 2024)

Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution. - Charles Laroche; Andrés Almansa; Eva Coupeté (WACV, 2024)

Patch-based stochastic attention for image editing. - Nicolas Cherel; Andrés Almansa; Yann Gousseau; Alasdair Newson (Comput. Vis. Image Underst., 2024)

Infusion: Internal Diffusion for Inpainting of Dynamic Textures and Complex Motion. - Nicolas Cherel; Andrés Almansa; Yann Gousseau; Alasdair Newson (Comput. Graph. Forum, 2025)

LATINO-PRO: LAtent consisTency INverse sOlver with PRompt Optimization. - Alessio Spagnoletti; Jean Prost; Andrés Almansa; Nicolas Papadakis; Marcelo Pereyra (CoRR, 2025)