Pablo Arias

Orcid: 0000-0002-6961-5156

Affiliations:
  • Paris-Saclay University, CNRS, ENS Paris-Saclay, France
  • Pompeu Fabra University, DTIC, Department of Information and Communication Technologies, Barcelona, Spain (PhD 2013)


According to our database1, Pablo Arias authored at least 43 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Fixed Pattern Noise Removal For Multi-View Single-Sensor Infrared Camera.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
SING: A Plug-and-Play DNN Learning Technique.
CoRR, 2023

Video joint denoising and demosaicing with recurrent CNNs.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

L1BSR: Exploiting Detector Overlap for Self-Supervised Single-Image Super-Resolution of Sentinel-2 L1B Imagery.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Can neural networks extrapolate? Discussion of a theorem by Pedro Domingos.
CoRR, 2022

Self-Supervised Push-Frame Super-Resolution With Detail-Preserving Control And Outlier Detection.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising?
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Investigating Neural Architectures by Synthetic Dataset Design.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Video Denoising by Combining Patch Search and CNNs.
J. Math. Imaging Vis., 2021

Implementation of VBM3D and Some Variants.
Image Process. Line, 2021

Self-supervised training for blind multi-frame video denoising.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

PROBA-V-REF: Repurposing the PROBA-V Challenge for Reference-Aware Super Resolution.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

Self-Supervised Multi-Image Super-Resolution for Push-Frame Satellite Images.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020
Implementation of the VBM3D Video Denoising Method and Some Variants.
CoRR, 2020

2019
Joint demosaicing and denoising by overfitting of bursts of raw images.
CoRR, 2019

A Non-Local CNN for Video Denoising.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Joint Demosaicking and Denoising by Fine-Tuning of Bursts of Raw Images.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Model-Blind Video Denoising via Frame-To-Frame Training.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Kalman Filtering of Patches for Frame-Recursive Video Denoising.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Video Denoising via Empirical Bayesian Estimation of Space-Time Patches.
J. Math. Imaging Vis., 2018

EPLL: An Image Denoising Method Using a Gaussian Mixture Model Learned on a Large Set of Patches.
Image Process. Line, 2018

Non-Local Video Denoising by CNN.
CoRR, 2018

A Comparison of Patch-Based Models in Video Denoising.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Non-Local Kalman: A Recursive Video Denoising Algorithm.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

On the Convergence of PatchMatch and Its Variants.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Global Patch Search Boosts Video Denoising.
Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 4: VISAPP, Porto, Portugal, February 27, 2017

Below the Surface of the Non-local Bayesian Image Denoising Method.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Visual Music Transcription of Clarinet Video Recordings Trained with Audio-Based Labelled Data.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
Affine Invariant Self-similarity for Exemplar-based Inpainting.
Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2016), 2016

Exemplar-Based Image Inpainting Using an Affine Invariant Similarity Measure.
Proceedings of the Computer Vision, Imaging and Computer Graphics Theory and Applications, 2016

2015
Linear Multiscale Analysis of Similarities between Images on Riemannian Manifolds: Practical Formula and Affine Covariant Metrics.
SIAM J. Imaging Sci., 2015

Variational Framework for Non-Local Inpainting.
Image Process. Line, 2015

Towards a Bayesian Video Denoising Method.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2015

2013
Variational methods for exemplar-based image inpainting and gradient-domain video editing.
PhD thesis, 2013

A Variational Model for Gradient-Based Video Editing.
Int. J. Comput. Vis., 2013

2012
Analysis of a Variational Framework for Exemplar-Based Image Inpainting.
Multiscale Model. Simul., 2012

A gradient based neighborhood filter for disparity interpolation.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
A Variational Framework for Exemplar-Based Image Inpainting.
Int. J. Comput. Vis., 2011

2009
Exemplar-Based Interpolation of Sparsely Sampled Images.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

A Variational Framework for Non-local Image Inpainting.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

2007
Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation.
IEEE Trans. Image Process., 2007

Connecting the Out-of-Sample and Pre-Image Problems in Kernel Methods.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007


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