David Berga

According to our database, David Berga authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as a Proxy.

Pau Gallés, Katalin Takáts, Miguel Hernández-Cabronero, David Berga, Luciano Pega, Laura Riordan-Chen, Clara Garcia, Guillermo Becker, Adan Garriga, Anica Bukva, Joan Serra-Sagristà, David Vilaseca, Javier Marín

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2023

QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution.

David Berga, Pau Gallés, Katalin Takáts, Eva Mohedano, Laura Riordan-Chen, Clara Garcia-Moll, David Vilaseca, Javier Marín

Remote. Sens., May, 2023

Physiology on Esports, a League of Legends study.

David Berga, Alexandre Pereda, Eleonora De Filippi, Arijit Nandi, Eulalia Febrer, Marta Reverte, Lautaro Russo

CoRR, 2023

2022

A Neurodynamic Model of Saliency Prediction in V1.

David Berga, Xavier Otazu

Neural Comput., 2022

IQUAFLOW: A new framework to measure image quality.

Pau Gallés, Katalin Takáts, Miguel Hernández-Cabronero, David Berga, Luciano Pega, Laura Riordan-Chen, Clara Garcia, Guillermo Becker, Adan Garriga, Anica Bukva, Joan Serra-Sagristà, David Vilaseca, Javier Marín

CoRR, 2022

2021

Saliency for free: Saliency prediction as a side-effect of object recognition.

Carola Figueroa Flores, David Berga, Joost van de Weijer, Bogdan Raducanu

Pattern Recognit. Lett., 2021

Hallucinating Saliency Maps for Fine-grained Image Classification for Limited Data Domains.

Carola Figueroa Flores, Bogdan Raducanu, David Berga, Joost van de Weijer

Proceedings of the 16th International Joint Conference on Computer Vision, 2021

2020

Modeling bottom-up and top-down attention with a neurodynamic model of V1.

David Berga, Xavier Otazu

Neurocomputing, 2020

Disentanglement of Color and Shape Representations for Continual Learning.

David Berga, Marc Masana, Joost van de Weijer

CoRR, 2020

MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images.

Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Understanding eye movements: psychophysics and a model of primary visual cortex.

David Berga

PhD thesis, 2019

SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling.

David Berga, Xosé Ramón Fernández-Vidal, Xavier Otazu, Xosé M. Pardo

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Psychophysical evaluation of individual low-level feature influences on visual attention.

David Berga, Xosé Ramón Fdez-Vidal, Xavier Otazu, Víctor Leborán, Xosé M. Pardo

CoRR, 2018