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ORCIDAndrés Almansa
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2020 – today
- 2024
[j31]Nicolas Cherel
, Andrés Almansa, Yann Gousseau, Alasdair Newson:
Patch-based stochastic attention for image editing. Comput. Vis. Image Underst. 238: 103866 (2024)- [c40]Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
Diffusion-Based Image Inpainting with Internal Learning. EUSIPCO 2024: 446-450 - [c39]Yassine Mhiri, Rémy Abergel, Andrés Almansa, Lionel Moisan:
Hyperspectral Signal Reconstruction from Interferometric Measurements with Enriched Fourier Bases. EUSIPCO 2024: 2192-2196 - [c38]Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andrés Almansa, Ulugbek Kamilov:
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. ICLR 2024 - [c37]Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis:
Efficient Posterior Sampling for Diverse Super-Resolution with Hierarchical VAE Prior. VISIGRAPP (3): VISAPP 2024: 393-400 - [c36]Charles Laroche, Andrés Almansa, Eva Coupeté:
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution. WACV 2024: 5259-5269 - [i23]Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
Diffusion-based image inpainting with internal learning. CoRR abs/2406.04206 (2024) - 2023
- [j30]Rémi Laumont, Valentin De Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra:
On Maximum a Posteriori Estimation with Plug & Play Priors and Stochastic Gradient Descent. J. Math. Imaging Vis. 65(1): 140-163 (2023) - [c35]Charles Laroche, Andrés Almansa, Eva Coupeté, Matias Tassano:
Provably Convergent Plug & Play Linearized ADMM, Applied to Deblurring Spatially Varying Kernels. ICASSP 2023: 1-5 - [c34]Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis:
Inverse problem regularization with hierarchical variational autoencoders. ICCV 2023: 22837-22848 - [c33]Charles Laroche, Andrés Almansa, Matias Tassano:
Deep Model-Based Super-Resolution with Non-uniform Blur. WACV 2023: 1797-1808 - [i22]Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis:
Inverse problem regularization with hierarchical variational autoencoders. CoRR abs/2303.11217 (2023) - [i21]Charles Laroche, Andrés Almansa, Eva Coupeté:
Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution. CoRR abs/2309.00287 (2023) - [i20]Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andrés Almansa, Ulugbek S. Kamilov:
Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. CoRR abs/2310.03546 (2023) - [i19]Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
Infusion: Internal Diffusion for Video Inpainting. CoRR abs/2311.01090 (2023) - 2022
- [j29]Rémi Laumont, Valentin De Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra:
Bayesian Imaging Using Plug & Play Priors: When Langevin Meets Tweedie. SIAM J. Imaging Sci. 15(2): 701-737 (2022) - [j28]Mario González, Andrés Almansa, Pauline Tan:
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior. SIAM J. Imaging Sci. 15(2): 822-859 (2022) - [c32]Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
A Patch-Based Algorithm for Diverse and High Fidelity Single Image Generation. ICIP 2022: 3221-3225 - [i18]Rémi Laumont, Valentin De Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra:
On Maximum-a-Posteriori estimation with Plug & Play priors and stochastic gradient descent. CoRR abs/2201.06133 (2022) - [i17]Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
Patch-Based Stochastic Attention for Image Editing. CoRR abs/2202.03163 (2022) - [i16]Charles Laroche, Andrés Almansa, Matias Tassano:
Deep Model-Based Super-Resolution with Non-uniform Blur. CoRR abs/2204.10109 (2022) - [i15]Jean Prost, Antoine Houdard, Nicolas Papadakis, Andrés Almansa:
Diverse super-resolution with pretrained deep hiererarchical VAEs. CoRR abs/2205.10347 (2022) - [i14]Antoine Monod, Julie Delon, Matias Tassano, Andrés Almansa:
Video Restoration with a Deep Plug-and-Play Prior. CoRR abs/2209.02854 (2022) - [i13]Charles Laroche, Andrés Almansa, Eva Coupeté, Matias Tassano:
Provably Convergent Plug & Play Linearized ADMM, applied to Deblurring Spatially Varying Kernels. CoRR abs/2210.10605 (2022) - 2021
- [c31]Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis:
Learning Local Regularization for Variational Image Restoration. SSVM 2021: 358-370 - [i12]Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis:
Learning local regularization for variational image restoration. CoRR abs/2102.06155 (2021) - [i11]Mario González, Andrés Almansa, Pauline Tan:
Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior. CoRR abs/2103.01648 (2021) - [i10]Rémi Laumont, Valentin De Bortoli, Andrés Almansa, Julie Delon, Alain Durmus, Marcelo Pereyra:
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie. CoRR abs/2103.04715 (2021) - 2020
- [j27]Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal:
Processing Simple Geometric Attributes with Autoencoders. J. Math. Imaging Vis. 62(3): 293-312 (2020) - [j26]Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa:
Multitask Learning of Height and Semantics From Aerial Images. IEEE Geosci. Remote. Sens. Lett. 17(8): 1391-1395 (2020)
2010 – 2019
- 2019
- [j25]Thuc Trinh Le, Andrés Almansa, Yann Gousseau, Simon Masnou:
Object removal from complex videos using a few annotations. Comput. Vis. Media 5(3): 267-291 (2019) - [c30]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 - [i9]Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal:
Processsing Simple Geometric Attributes with Autoencoders. CoRR abs/1904.07099 (2019) - [i8]Mario González, Andrés Almansa, Mauricio Delbracio, Pablo Musé, Pauline Tan:
Solving Inverse Problems by Joint Posterior Maximization with a VAE Prior. CoRR abs/1911.06379 (2019) - [i7]Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Frédéric Champagnat, Andrés Almansa:
Multi-Task Learning of Height and Semantics from Aerial Images. CoRR abs/1911.07543 (2019) - 2018
- [c29]Mario González, Javier Preciozzi, Pablo Musé, Andrés Almansa:
Joint denoising and decompression using CNN regularization. CVPR Workshops 2018: 2598-2601 - [c28]Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat:
Deep Depth from Defocus: How Can Defocus Blur Improve 3D Estimation Using Dense Neural Networks? ECCV Workshops (1) 2018: 307-323 - [c27]Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat:
On Regression Losses for Deep Depth Estimation. ICIP 2018: 2915-2919 - [c26]Thuc Trinh Le, Andrés Almansa, Yann Gousseau, Simon Masnou:
Removing objects from videos with a few strokes. SIGGRAPH Asia Technical Briefs 2018: 22:1-22:4 - [i6]Marcela Carvalho, Bertrand Le Saux, Pauline Trouvé-Peloux, Andrés Almansa, Frédéric Champagnat:
Deep Depth from Defocus: how can defocus blur improve 3D estimation using dense neural networks? CoRR abs/1809.01567 (2018) - 2017
- [j24]Alasdair Newson, Andrés Almansa, Yann Gousseau, Patrick Pérez:
Non-Local Patch-Based Image Inpainting. Image Process. Line 7: 373-385 (2017) - [j23]Antoine Houdard, Andrés Almansa, Julie Delon:
Demystifying the Asymptotic Behavior of Global Denoising. J. Math. Imaging Vis. 59(3): 456-480 (2017) - [j22]Daniel-Chen Soncco, Clara Barbanson, Mila Nikolova, Andrés Almansa, Yann Ferrec:
Fast and Accurate Multiplicative Decomposition for Fringe Removal in Interferometric Images. IEEE Trans. Computational Imaging 3(2): 187-201 (2017) - [j21]Cecilia Aguerrebere, Andrés Almansa, Julie Delon, Yann Gousseau, Pablo Musé:
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, With an Application to HDR Imaging. IEEE Trans. Computational Imaging 3(4): 633-646 (2017) - [j20]Javier Preciozzi, Andrés Almansa, Pablo Musé, Sylvain Durand, Ali Khazaal, Bernard Rougé:
A Sparsity-Based Variational Approach for the Restoration of SMOS Images From L1A Data. IEEE Trans. Geosci. Remote. Sens. 55(5): 2811-2826 (2017) - [c25]Javier Preciozzi, Mario González, Andrés Almansa, Pablo Musé:
Joint denoising and decompression: A patch-based Bayesian approach. ICIP 2017: 1252-1256 - [c24]Thuc Trinh Le, Andrés Almansa, Yann Gousseau, Simon Masnou:
Motion-consistent video inpainting. ICIP 2017: 2094-2098 - [c23]Thuc Trink Le, Andrés Almansa, Yann Gousseau, Simon Masnou:
Demonstration abstract: Motion-consistent video inpainting. ICIP 2017: 4587 - [c22]Paul Riot, Andrés Almansa, Yann Gousseau, Florence Tupin:
A Correlation-Based Dissimilarity Measure for Noisy Patches. SSVM 2017: 184-195 - [i5]Cecilia Aguerrebere, Andrés Almansa, Julie Delon, Yann Gousseau, Pablo Musé:
A Bayesian Hyperprior Approach for Joint Image Denoising and Interpolation, with an Application to HDR Imaging. CoRR abs/1706.03261 (2017) - 2016
- [c21]Paul Riot, Andrés Almansa, Yann Gousseau, Florence Tupin:
Penalizing local correlations in the residual improves image denoising performance. EUSIPCO 2016: 1867-1871 - 2015
- [j19]Yann Traonmilin, Saïd Ladjal, Andrés Almansa:
Robust Multi-image Processing with Optimal Sparse Regularization. J. Math. Imaging Vis. 51(3): 413-429 (2015) - [i4]Alasdair Newson, Andrés Almansa, Matthieu Fradet, Yann Gousseau, Patrick Pérez:
Video Inpainting of Complex Scenes. CoRR abs/1503.05528 (2015) - 2014
- [j18]Mariano Tepper, Pablo Musé, Andrés Almansa:
On the Role of Contrast and Regularity in Perceptual Boundary Saliency. J. Math. Imaging Vis. 48(3): 396-412 (2014) - [j17]Mariano Tepper, Pablo Musé, Andrés Almansa, Marta Mejail:
Finding contrasted and regular edges by a contrario detection of periodic subsequences. Pattern Recognit. 47(1): 72-79 (2014) - [j16]Alasdair Newson, Andrés Almansa, Matthieu Fradet, Yann Gousseau, Patrick Pérez:
Video Inpainting of Complex Scenes. SIAM J. Imaging Sci. 7(4): 1993-2019 (2014) - [j15]Alasdair Newson, Andrés Almansa, Yann Gousseau, Patrick Pérez:
Robust Automatic Line Scratch Detection in Films. IEEE Trans. Image Process. 23(3): 1240-1254 (2014) - [c20]Thierry Guillemot, Andrés Almansa, Tamy Boubekeur:
Covariance Trees for 2D and 3D Processing. CVPR 2014: 556-563 - [c19]Cecilia Aguerrebere, Andrés Almansa, Yann Gousseau, Julie Delon, Pablo Musé:
Single shot high dynamic range imaging using piecewise linear estimators. ICCP 2014: 1-10 - [c18]Javier Freciozzi, Pablo Musé, Andrés Almansa, Sylvain Durand, Ali Khazaal, Bernard Rougé:
SMOS images restoration from L1A data: A sparsity-based variational approach. IGARSS 2014: 2487-2490 - 2013
- [j14]Mauricio Delbracio, Andrés Almansa, Pablo Musé:
Recovering the Subpixel PSF from Two Photographs at Different Distances. Image Process. Line 3: 242-251 (2013) - [c17]Mariano Tepper, Pablo Musé, Andrés Almansa, Marta Mejail:
Boruvka Meets Nearest Neighbors. CIARP (2) 2013: 560-567 - [c16]Alasdair Newson, Andrés Almansa, Matthieu Fradet, Yann Gousseau, Patrick Pérez:
Towards fast, generic video inpainting. CVMP 2013: 7:1-7:8 - [c15]Alasdair Newson, Andrés Almansa, Yann Gousseau, Patrick Pérez:
Temporal filtering of line scratch detections in degraded films. ICIP 2013: 4088-4092 - [c14]Yann Traonmilin, Saïd Ladjal, Andrés Almansa:
Outlier Removal Power of the L1-Norm Super-Resolution. SSVM 2013: 198-209 - 2012
- [j13]Mauricio Delbracio, Pablo Musé, Andrés Almansa, Jean-Michel Morel:
The Non-parametric Sub-pixel Local Point Spread Function Estimation Is a Well Posed Problem. Int. J. Comput. Vis. 96(2): 175-194 (2012) - [j12]Mauricio Delbracio, Pablo Musé, Andrés Almansa:
Non-parametric Sub-pixel Local Point Spread Function Estimation. Image Process. Line 2: 8-21 (2012) - [j11]Neus Sabater, Andrés Almansa, Jean-Michel Morel:
Meaningful Matches in Stereovision. IEEE Trans. Pattern Anal. Mach. Intell. 34(5): 930-942 (2012) - [j10]Mauricio Delbracio, Andrés Almansa, Jean-Michel Morel, Pablo Musé:
Subpixel Point Spread Function Estimation from Two Photographs at Different Distances. SIAM J. Imaging Sci. 5(4): 1234-1260 (2012) - [c13]Thierry Guillemot, Andrés Almansa, Tamy Boubekeur:
Non Local Point Set Surfaces. 3DIMPVT 2012: 324-331 - [c12]Mariano Tepper, Pablo Musé, Andrés Almansa, Marta Mejail:
Finding Edges by a Contrario Detection of Periodic Subsequences. CIARP 2012: 773-780 - [c11]Alasdair Newson, Patrick Pérez, Andrés Almansa, Yann Gousseau:
Adaptive line scratch detection in degraded films. CVMP 2012: 66-74 - [c10]Yann Traonmilin, Saïd Ladjal, Andrés Almansa:
On the amount of regularization for super-resolution interpolation. EUSIPCO 2012: 380-384 - [c9]Javier Preciozzi, Pablo Musé, Andrés Almansa, Sylvain Durand, François Cabot, Yann H. Kerr, Ali Khazaal, Bernard Rougé:
Sparsity-based restoration of SMOS images in the presence of outliers. IGARSS 2012: 3501-3504 - [i3]Mariano Tepper, Pablo Musé, Andrés Almansa:
On the Role of Contrast and Regularity in Perceptual Boundary Saliency. CoRR abs/1210.3718 (2012) - 2011
- [j9]Mariano Tepper, Pablo Musé, Andrés Almansa, Marta Mejail:
Automatically finding clusters in normalized cuts. Pattern Recognit. 44(7): 1372-1386 (2011) - [j8]Neus Sabater, Jean-Michel Morel, Andrés Almansa:
How Accurate Can Block Matches Be in Stereo Vision? SIAM J. Imaging Sci. 4(1): 472-500 (2011) - [i2]Mariano Tepper, Pablo Musé, Andrés Almansa:
Meaningful Clustered Forest: an Automatic and Robust Clustering Algorithm. CoRR abs/1104.0651 (2011) - [i1]Neus Sabater, Andrés Almansa, Jean-Michel Morel:
Meaningful Matches in Stereovision. CoRR abs/1112.1187 (2011) - 2010
- [c8]Andrés Almansa, Julien Caron, Sylvain Durand:
Deblurring of irregularly sampled images by TV regularization in a spline space. ICIP 2010: 1181-1184 - [c7]Neus Sabater, Jean-Michel Morel, Andrés Almansa, Gwendoline Blanchet:
Discarding moving objects in quasi-simultaneous stereovision. ICIP 2010: 2957-2960 - [c6]Eric Bughin, Andrés Almansa, Rafael Grompone von Gioi, Yohann Tendero:
Fast plane detection in disparity maps. ICIP 2010: 2961-2964 - [c5]Neus Sabater, Jean-Michel Morel, Andrés Almansa:
Sub-pixel stereo matching. IGARSS 2010: 3182-3185
2000 – 2009
- 2009
- [j7]Gabriele Facciolo, Andrés Almansa, Jean-François Aujol, Vicent Caselles:
Irregular to Regular Sampling, Denoising, and Deconvolution. Multiscale Model. Simul. 7(4): 1574-1608 (2009) - [c4]Mariano Tepper, Francisco Gómez Fernández, Pablo Musé, Andrés Almansa, Marta Mejail:
Morphological Shape Context: Semi-locality and Robust Matching in Shape Recognition. CIARP 2009: 129-136 - 2008
- [j6]Andrés Almansa, Coloma Ballester, Vicent Caselles, Gloria Haro:
A TV Based Restoration Model with Local Constraints. J. Sci. Comput. 34(3): 209-236 (2008) - 2006
- [j5]Andrés Almansa, Vicent Caselles, Gloria Haro, Bernard Rougé:
Restoration and Zoom of Irregularly Sampled, Blurred, and Noisy Images by Accurate Total Variation Minimization with Local Constraints. Multiscale Model. Simul. 5(1): 235-272 (2006) - [c3]Gabriele Facciolo, Federico Lecumberry, Andrés Almansa, Alvaro Pardo, Vicent Caselles, Bernard Rougé:
Constrained Anisotropic Diffusion and some Applications. BMVC 2006: 1049-1058 - 2004
- [j4]Andrés Almansa, Sylvain Durand, Bernard Rougé:
Measuring and Improving Image Resolution by Adaptation of the Reciprocal Cell. J. Math. Imaging Vis. 21(3): 235-279 (2004) - 2003
- [j3]Andrés Almansa, Agnès Desolneux, Sébastien Vamech:
Vanishing Point Detection without Any A Priori Information. IEEE Trans. Pattern Anal. Mach. Intell. 25(4): 502-507 (2003) - [c2]Andrés Almansa:
Image resolution measure with applications to restoration and zoom. IGARSS 2003: 3830-3832 - 2002
- [b1]Andrés Almansa:
Sampling, interpolation and detection. Applications in satellite imaging. (Echantillonnage, interpolation et détection. Applications en imagerie satellitaire). École normale supérieure de Cachan, France, 2002 - [j2]Andrés Almansa, Frédéric Cao, Yann Gousseau, Bernard Rougé:
Interpolation of digital elevation models using AMLE and related methods. IEEE Trans. Geosci. Remote. Sens. 40(2): 314-325 (2002) - 2000
- [j1]Andrés Almansa, Tony Lindeberg:
Fingerprint enhancement by shape adaptation of scale-space operators with automatic scale selection. IEEE Trans. Image Process. 9(12): 2027-2042 (2000) - [c1]Andrés Almansa, Laurent D. Cohen:
Fingerprint image matching by minimization of a thin-plate energy using a two-step algorithm with auxiliary variables. WACV 2000: 35-40
1990 – 1999
- 1997
- [p1]Andrés Almansa, Tony Lindeberg:
Enhancement of Fingerprint Images using Shape-Adapted Scale-Space Operators. Gaussian Scale-Space Theory 1997: 21-30
Coauthor Index
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