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ORCIDPablo Arias 0001
Person information
- affiliation: Paris-Saclay University, CNRS, ENS Paris-Saclay, France
- affiliation (PhD 2013): Pompeu Fabra University, DTIC, Department of Information and Communication Technologies, Barcelona, Spain
Other persons with the same name
- Pablo Arias — disambiguation page
- Pablo Arias 0002
![[0000-0002-9029-5310]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-9029-5310")
— University of A Coruña, Neuroscience and Motor Control Group, NEUROcom, Spain - Pablo Arias 0003 — Sorbonne University, Paris, France
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2020 – today
- 2024
[c27]Arnaud Barral, Pablo Arias, Axel Davy:
Fixed Pattern Noise Removal For Multi-View Single-Sensor Infrared Camera. WACV 2024: 1658-1667- [i13]Valéry Dewil, Zhe Zheng, Arnaud Barral, Lara Raad, Nao Nicolas, Ioannis Cassagne, Jean-Michel Morel, Gabriele Facciolo, Bruno Galerne, Pablo Arias:
Adapting MIMO video restoration networks to low latency constraints. CoRR abs/2408.12439 (2024) - 2023
- [c26]Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo:
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery. CVPR Workshops 2023: 2013-2023 - [c25]Valéry Dewil, Adrien Courtois, Mariano Rodríguez, Thibaud Ehret, Nicola Brandonisio, Denis Bujoreanu, Gabriele Facciolo, Pablo Arias:
Video joint denoising and demosaicing with recurrent CNNs. WACV 2023: 5097-5108 - [i12]Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo:
L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery. CoRR abs/2304.06871 (2023) - [i11]Adrien Courtois, Damien Scieur, Jean-Michel Morel, Pablo Arias, Thomas Eboli:
SING: A Plug-and-Play DNN Learning Technique. CoRR abs/2305.15997 (2023) - 2022
- [c24]Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo:
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites. CVPR 2022: 1848-1858 - [c23]Adrien Courtois, Jean-Michel Morel, Pablo Arias:
Investigating Neural Architectures by Synthetic Dataset Design. CVPR Workshops 2022: 4886-4895 - [c22]Valéry Dewil, Arnaud Barral, Gabriele Facciolo, Pablo Arias:
Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising? CVPR Workshops 2022: 4896-4906 - [c21]Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo:
Self-Supervised Push-Frame Super-Resolution With Detail-Preserving Control And Outlier Detection. IGARSS 2022: 131-134 - [i10]Adrien Courtois, Jean-Michel Morel, Pablo Arias:
Investigating Neural Architectures by Synthetic Dataset Design. CoRR abs/2204.11045 (2022) - [i9]Valéry Dewil, Arnaud Barral, Gabriele Facciolo, Pablo Arias:
Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising? CoRR abs/2204.11493 (2022) - [i8]Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo:
Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites. CoRR abs/2205.02031 (2022) - [i7]Adrien Courtois, Jean-Michel Morel, Pablo Arias:
Can neural networks extrapolate? Discussion of a theorem by Pedro Domingos. CoRR abs/2211.03566 (2022) - 2021
- [j10]Thibaud Ehret, Pablo Arias:
Implementation of VBM3D and Some Variants. Image Process. Line 11: 374-395 (2021) - [j9]Axel Davy, Thibaud Ehret, Jean-Michel Morel, Pablo Arias, Gabriele Facciolo:
Video Denoising by Combining Patch Search and CNNs. J. Math. Imaging Vis. 63(1): 73-88 (2021) - [c20]Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo:
Self-Supervised Multi-Image Super-Resolution for Push-Frame Satellite Images. CVPR Workshops 2021: 1121-1131 - [c19]Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo:
PROBA-V-REF: Repurposing the PROBA-V Challenge for Reference-Aware Super Resolution. IGARSS 2021: 3881-3884 - [c18]Valéry Dewil, Jérémy Anger, Axel Davy, Thibaud Ehret, Gabriele Facciolo, Pablo Arias:
Self-supervised training for blind multi-frame video denoising. WACV 2021: 2723-2733 - [i6]Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo:
Proba-V-ref: Repurposing the Proba-V challenge for reference-aware super resolution. CoRR abs/2101.10200 (2021) - 2020
- [i5]Thibaud Ehret, Pablo Arias:
Implementation of the VBM3D Video Denoising Method and Some Variants. CoRR abs/2001.01802 (2020) - [i4]Valéry Dewil, Jérémy Anger, Axel Davy, Thibaud Ehret, Pablo Arias, Gabriele Facciolo:
Self-Supervised training for blind multi-frame video denoising. CoRR abs/2004.06957 (2020)
2010 – 2019
- 2019
- [c17]Pablo Arias, Jean-Michel Morel:
Kalman Filtering of Patches for Frame-Recursive Video Denoising. CVPR Workshops 2019: 1917-1926 - [c16]Thibaud Ehret, Axel Davy, Jean-Michel Morel, Gabriele Facciolo, Pablo Arias:
Model-Blind Video Denoising via Frame-To-Frame Training. CVPR 2019: 11369-11378 - [c15]Thibaud Ehret, Axel Davy, Pablo Arias, Gabriele Facciolo:
Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images. ICCV 2019: 8867-8876 - [c14]Axel Davy, Thibaud Ehret, Jean-Michel Morel, Pablo Arias, Gabriele Facciolo:
A Non-Local CNN for Video Denoising. ICIP 2019: 2409-2413 - [i3]Thibaud Ehret, Axel Davy, Pablo Arias, Gabriele Facciolo:
Joint demosaicing and denoising by overfitting of bursts of raw images. CoRR abs/1905.05092 (2019) - 2018
- [j8]Samuel Hurault, Thibaud Ehret, Pablo Arias:
EPLL: An Image Denoising Method Using a Gaussian Mixture Model Learned on a Large Set of Patches. Image Process. Line 8: 465-489 (2018) - [j7]Pablo Arias, Jean-Michel Morel:
Video Denoising via Empirical Bayesian Estimation of Space-Time Patches. J. Math. Imaging Vis. 60(1): 70-93 (2018) - [c13]Thibaud Ehret, Pablo Arias:
On the Convergence of PatchMatch and Its Variants. CVPR 2018: 1121-1129 - [c12]Thibaud Ehret, Jean-Michel Morel, Pablo Arias:
Non-Local Kalman: A Recursive Video Denoising Algorithm. ICIP 2018: 3204-3208 - [c11]Pablo Arias, Gabriele Facciolo, Jean-Michel Morel:
A Comparison of Patch-Based Models in Video Denoising. IVMSP 2018: 1-5 - [i2]Axel Davy, Thibaud Ehret, Gabriele Facciolo, Jean-Michel Morel, Pablo Arias:
Non-Local Video Denoising by CNN. CoRR abs/1811.12758 (2018) - [i1]Thibaud Ehret, Axel Davy, Gabriele Facciolo, Jean-Michel Morel, Pablo Arias:
Model-blind Video Denoising Via Frame-to-frame Training. CoRR abs/1811.12766 (2018) - 2017
- [c10]Emilia Gómez, Pablo Arias, Pablo Zinemanas, Gloria Haro:
Visual Music Transcription of Clarinet Video Recordings Trained with Audio-Based Labelled Data. ICCV Workshops 2017: 463-470 - [c9]Pablo Arias, Mila Nikolova:
Below the Surface of the Non-local Bayesian Image Denoising Method. SSVM 2017: 208-220 - [c8]Thibaud Ehret, Pablo Arias, Jean-Michel Morel:
Global Patch Search Boosts Video Denoising. VISIGRAPP (4: VISAPP) 2017: 124-134 - 2016
- [c7]Vadim Fedorov, Pablo Arias, Gabriele Facciolo, Coloma Ballester:
Exemplar-Based Image Inpainting Using an Affine Invariant Similarity Measure. VISIGRAPP (Revised Selected Papers) 2016: 454-474 - [c6]Vadim Fedorov, Pablo Arias, Gabriele Facciolo, Coloma Ballester:
Affine Invariant Self-similarity for Exemplar-based Inpainting. VISIGRAPP (3: VISAPP) 2016: 50-60 - 2015
- [j6]Vadim Fedorov, Gabriele Facciolo, Pablo Arias:
Variational Framework for Non-Local Inpainting. Image Process. Line 5: 362-386 (2015) - [j5]Vadim Fedorov, Pablo Arias, Rida Sadek, Gabriele Facciolo, Coloma Ballester:
Linear Multiscale Analysis of Similarities between Images on Riemannian Manifolds: Practical Formula and Affine Covariant Metrics. SIAM J. Imaging Sci. 8(3): 2021-2069 (2015) - [c5]Pablo Arias, Jean-Michel Morel:
Towards a Bayesian Video Denoising Method. ACIVS 2015: 107-117 - 2013
- [b1]Pablo Arias:
Variational methods for exemplar-based image inpainting and gradient-domain video editing. Pompeu Fabra University, Spain, 2013 - [j4]Rida Sadek, Gabriele Facciolo, Pablo Arias, Vicent Caselles:
A Variational Model for Gradient-Based Video Editing. Int. J. Comput. Vis. 103(1): 127-162 (2013) - 2012
- [j3]Pablo Arias, Vicent Caselles, Gabriele Facciolo:
Analysis of a Variational Framework for Exemplar-Based Image Inpainting. Multiscale Model. Simul. 10(2): 473-514 (2012) - [c4]Vanel A. Lazcano, Pablo Arias, Gabriele Facciolo, Vicent Caselles:
A gradient based neighborhood filter for disparity interpolation. ICIP 2012: 873-876 - 2011
- [j2]Pablo Arias, Gabriele Facciolo, Vicent Caselles, Guillermo Sapiro:
A Variational Framework for Exemplar-Based Image Inpainting. Int. J. Comput. Vis. 93(3): 319-347 (2011)
2000 – 2009
- 2009
- [c3]Gabriele Facciolo, Pablo Arias, Vicent Caselles, Guillermo Sapiro:
Exemplar-Based Interpolation of Sparsely Sampled Images. EMMCVPR 2009: 331-344 - [c2]Pablo Arias, Vicent Caselles, Guillermo Sapiro:
A Variational Framework for Non-local Image Inpainting. EMMCVPR 2009: 345-358 - 2007
- [j1]Pablo Arias, Alejandro Pini, Gonzalo R. Sanguinetti, Pablo Sprechmann, Pablo Cancela, Alicia Fernández, Alvaro Gómez, Gregory Randall:
Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation. IEEE Trans. Image Process. 16(6): 1637-1645 (2007) - [c1]Pablo Arias, Gregory Randall, Guillermo Sapiro:
Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods. CVPR 2007
Coauthor Index
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last updated on 2024-10-07 21:22 CEST by the dblp team
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