• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 96 matches

• 2024
• 
  Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
  Patch-based stochastic attention for image editing. Comput. Vis. Image Underst. 238: 103866 (2024)
• 
  Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andrés Almansa, Ulugbek Kamilov:
  Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models. ICLR 2024
• 
  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
• 
  Charles Laroche, Andrés Almansa, Eva Coupeté:
  Fast Diffusion EM: a diffusion model for blind inverse problems with application to deconvolution. WACV 2024: 5259-5269
• 
  Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
  Diffusion-based image inpainting with internal learning. CoRR abs/2406.04206 (2024)
• 2023
• 
  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)
• 
  Charles Laroche, Andrés Almansa, Eva Coupeté, Matias Tassano:
  Provably Convergent Plug & Play Linearized ADMM, Applied to Deblurring Spatially Varying Kernels. ICASSP 2023: 1-5
• 
  Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis:
  Inverse problem regularization with hierarchical variational autoencoders. ICCV 2023: 22837-22848
• 
  Charles Laroche, Andrés Almansa, Matias Tassano:
  Deep Model-Based Super-Resolution with Non-uniform Blur. WACV 2023: 1797-1808
• 
  Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis:
  Inverse problem regularization with hierarchical variational autoencoders. CoRR abs/2303.11217 (2023)
• 
  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)
• 
  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)
• 
  Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
  Infusion: Internal Diffusion for Video Inpainting. CoRR abs/2311.01090 (2023)
• 2022
• 
  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)
• 
  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)
• 
  Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
  A Patch-Based Algorithm for Diverse and High Fidelity Single Image Generation. ICIP 2022: 3221-3225
• 
  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)
• 
  Nicolas Cherel, Andrés Almansa, Yann Gousseau, Alasdair Newson:
  Patch-Based Stochastic Attention for Image Editing. CoRR abs/2202.03163 (2022)
• 
  Charles Laroche, Andrés Almansa, Matias Tassano:
  Deep Model-Based Super-Resolution with Non-uniform Blur. CoRR abs/2204.10109 (2022)
• 
  Jean Prost, Antoine Houdard, Nicolas Papadakis, Andrés Almansa:
  Diverse super-resolution with pretrained deep hiererarchical VAEs. CoRR abs/2205.10347 (2022)
• 
  Antoine Monod, Julie Delon, Matias Tassano, Andrés Almansa:
  Video Restoration with a Deep Plug-and-Play Prior. CoRR abs/2209.02854 (2022)
• 
  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
• 
  Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis:
  Learning Local Regularization for Variational Image Restoration. SSVM 2021: 358-370
• 
  Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis:
  Learning local regularization for variational image restoration. CoRR abs/2102.06155 (2021)
• 
  Mario González, Andrés Almansa, Pauline Tan:
  Solving Inverse Problems by Joint Posterior Maximization with Autoencoding Prior. CoRR abs/2103.01648 (2021)
• 
  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
• 
  Alasdair Newson, Andrés Almansa, Yann Gousseau, Saïd Ladjal:
  Processing Simple Geometric Attributes with Autoencoders. J. Math. Imaging Vis. 62(3): 293-312 (2020)
• 
  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)
• 2019
• 
  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)
• 
  Andrés Parrilla-Almansa, Carlos Alberto González-Bermúdez, Silvia Sánchez-Sánchez, Luis Meseguer-Olmo, Carlos Manuel Martínez-Cáceres, Francisco Martínez-Martínez, José Luis Calvo-Guirado, Juan José Piñero de Armas, Juan Manuel Aragoneses, Nuria García-Carrillo, Piedad N. De Aza:
  Intraosteal Behavior of Porous Scaffolds: The mCT Raw-Data Analysis as a Tool for Better Understanding. Symmetry 11(4): 532 (2019)

skipping 66 more matches