1 code implementation • 17 Apr 2024 • Nicolas Chahine, Marcos V. Conde, Daniela Carfora, Gabriel Pacianotto, Benoit Pochon, Sira Ferradans, Radu Timofte
This paper reviews the NTIRE 2024 Portrait Quality Assessment Challenge, highlighting the proposed solutions and results.
1 code implementation • 13 Mar 2024 • Nicolas Chahine, Sira Ferradans, Jean Ponce
Blind image quality assessment (BIQA) approaches, while promising for automating image quality evaluation, often fall short in real-world scenarios due to their reliance on a generic quality standard applied uniformly across diverse images.
1 code implementation • 14 Feb 2024 • Nicolas Chahine, Sira Ferradans, Javier Vazquez-Corral, Jean Ponce
Automated and robust portrait quality assessment (PQA) is of paramount importance in high-impact applications such as smartphone photography.
1 code implementation • CVPR 2023 • Nicolas Chahine, Ana-Stefania Calarasanu, Davide Garcia-Civiero, Theo Cayla, Sira Ferradans, Jean Ponce
This costly procedure can be partially replaced by automated learning-based methods for image quality assessment (IQA).
no code implementations • 20 Nov 2019 • Najah-Imane Bentabet, Rémi Juge, Sira Ferradans
The generation of precise and detailed Table-Of-Contents (TOC) from a document is a problem of major importance for document understanding and information extraction.
no code implementations • WS 2018 • Youness Mansar, Sira Ferradans
In the last years, compliance requirements for the banking sector have greatly augmented, making the current compliance processes difficult to maintain.
no code implementations • SEMEVAL 2017 • Youness Mansar, Lorenzo Gatti, Sira Ferradans, Marco Guerini, Jacopo Staiano
In this paper, we describe a methodology to infer Bullish or Bearish sentiment towards companies/brands.
1 code implementation • 21 Jul 2013 • Sira Ferradans, Nicolas Papadakis, Gabriel Peyré, Jean-François Aujol
The resulting transportation plan can be used as a color transfer map, which is robust to mass variation across images color palettes.