Pablo Arias

1.0k total citations
34 papers, 507 citations indexed

About

Pablo Arias is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Artificial Intelligence. According to data from OpenAlex, Pablo Arias has authored 34 papers receiving a total of 507 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 10 papers in Media Technology and 3 papers in Artificial Intelligence. Recurrent topics in Pablo Arias's work include Image and Signal Denoising Methods (19 papers), Advanced Image Processing Techniques (18 papers) and Advanced Image Fusion Techniques (9 papers). Pablo Arias is often cited by papers focused on Image and Signal Denoising Methods (19 papers), Advanced Image Processing Techniques (18 papers) and Advanced Image Fusion Techniques (9 papers). Pablo Arias collaborates with scholars based in France, Spain and United States. Pablo Arias's co-authors include Gabriele Facciolo, Jean‐Michel Morel, Guillermo Sapiro, Vicent Caselles, Thibaud Ehret, Axel Davy, Grégory Randall, V. Caselles, Pablo Sprechmann and Coloma Ballester and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Image Processing and International Journal of Computer Vision.

In The Last Decade

Pablo Arias

33 papers receiving 487 citations

Peers

Pablo Arias

CVPR

CGCD

Mona Mahmoudi United States

Luis Mazorra Spain

Andrés Solé Spain

Mingdeng Cao China

Kolmogorov United States

Hossein Talebi United States

Kaibing Zhang China

Mauricio Delbracio United States

Pravin Bhat United States

Thomas Schoenemann Germany

Mona Mahmoudi United States

Pablo Arias

507 ×1.2

CVPR

226 ×1.4

249 ×3.4

67 ×1.2

CGCD

35 ×1.1

Citations per year, relative to Pablo Arias Pablo Arias (= 1×) peers Mona Mahmoudi

Countries citing papers authored by Pablo Arias

Since Specialization

Citations

This map shows the geographic impact of Pablo Arias's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Pablo Arias with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Arias more than expected).

Fields of papers citing papers by Pablo Arias

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pablo Arias. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Pablo Arias. The network helps show where Pablo Arias may publish in the future.

Co-authorship network of co-authors of Pablo Arias

This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Arias. A scholar is included among the top collaborators of Pablo Arias based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Pablo Arias. Pablo Arias is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Morel, Jean‐Michel, et al.. (2023). Can neural networks extrapolate? Discussion of a theorem by Pedro Domingos. Revista de la Real Academia de Ciencias Exactas Físicas y Naturales Serie A Matemáticas. 117(2). 6 indexed citations

Ehret, Thibaud, et al.. (2023). Video joint denoising and demosaicing with recurrent CNNs. 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 5097–5108. 2 indexed citations

Davy, Axel, et al.. (2022). Self-Supervised Push-Frame Super-Resolution With Detail-Preserving Control And Outlier Detection. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium. 131–134.

Facciolo, Gabriele, et al.. (2022). Self-supervision versus synthetic datasets: which is the lesser evil in the context of video denoising?. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 4896–4906. 3 indexed citations

Ehret, Thibaud & Pablo Arias. (2021). Implementation of VBM3D and Some Variants. Image Processing On Line. 11. 374–395. 4 indexed citations

Davy, Axel, et al.. (2021). Self-supervised multi-image super-resolution for push-frame satellite images. SPIRE - Sciences Po Institutional REpository. 1121–1131. 25 indexed citations

Davy, Axel, Thibaud Ehret, Jean‐Michel Morel, Pablo Arias, & Gabriele Facciolo. (2020). Video Denoising by Combining Patch Search and CNNs. Journal of Mathematical Imaging and Vision. 63(1). 73–88. 9 indexed citations

Ehret, Thibaud, Axel Davy, Pablo Arias, & Gabriele Facciolo. (2019). Joint demosaicing and denoising by overfitting of bursts of raw images.. arXiv (Cornell University). 10 indexed citations

Arias, Pablo & Jean‐Michel Morel. (2019). Kalman Filtering of Patches for Frame-Recursive Video Denoising. 13 indexed citations

10.

Arias, Pablo, Gabriele Facciolo, & Jean‐Michel Morel. (2018). A Comparison of Patch-Based Models in Video Denoising. 3. 1–5. 5 indexed citations

11.

Gómez, Emília, et al.. (2017). Visual Music Transcription of Clarinet Video Recordings Trained with Audio-Based Labelled Data. Repositori digital de la UPF (Universitat Pompeu Fabra). 12. 463–470. 2 indexed citations

12.

Arias, Pablo & Jean‐Michel Morel. (2017). Video Denoising via Empirical Bayesian Estimation of Space-Time Patches. Journal of Mathematical Imaging and Vision. 60(1). 70–93. 55 indexed citations

13.

Arias, Pablo, et al.. (2015). Linear Multiscale Analysis of Similarities between Images on Riemannian Manifolds: Practical Formula and Affine Covariant Metrics. SIAM Journal on Imaging Sciences. 8(3). 2021–2069. 7 indexed citations

14.

Facciolo, Gabriele, et al.. (2015). Variational Framework for Non-Local Inpainting. Image Processing On Line. 5. 362–386. 24 indexed citations

15.

Arias, Pablo, V. Caselles, & Gabriele Facciolo. (2012). Analysis of a Variational Framework for Exemplar-Based Image Inpainting. Multiscale Modeling and Simulation. 10(2). 473–514. 23 indexed citations

16.

Arias, Pablo, et al.. (2012). NONLOCAL VARIATIONAL MODELS FOR INPAINTING AND INTERPOLATION. Mathematical Models and Methods in Applied Sciences. 22(supp02). 10 indexed citations

17.

Facciolo, Gabriele, et al.. (2012). A Variational Model for Gradient-Based Video Editing. International Journal of Computer Vision. 103(1). 127–162. 7 indexed citations

18.

Arias, Pablo, et al.. (2007). Ultrasound Image Segmentation With Shape Priors: Application to Automatic Cattle Rib-Eye Area Estimation. IEEE Transactions on Image Processing. 16(6). 1637–1645. 9 indexed citations

19.

Arias, Pablo, et al.. (2005). Segmentación con información a priori de forma aplicada a Sistema de Valoración Cárnica. 1 indexed citations

20.

Yates, Jennifer, et al.. (2001). IP Control of Optical Networks: Design and Experimentation. Optical Fiber Communication Conference and International Conference on Quantum Information. MH5–MH5. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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