David Berga

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Object Recognition

Visual Attention

Salient Regions

Top Venues

VISIGRAPP (4: VISAPP)

Publications

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
A New Framework for Evaluating Image Quality Including Deep Learning Task Performances as a Proxy. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
David Berga, Pau Gallés, Katalin Takáts, Eva Mohedano, Laura Riordan-Chen, Clara Garcia-Moll, David Vilaseca, Javier Marín
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution. Remote. Sens. 15 (9) (2023)
David Berga, Alexandre Pereda, Eleonora De Filippi, Arijit Nandi, Eulalia Febrer, Marta Reverte, Lautaro Russo
Physiology on Esports, a League of Legends study. CoRR (2023)
David Berga, Pau Gallés, Katalin Takáts, Eva Mohedano, Laura Riordan-Chen, Clara Garcia-Moll, David Vilaseca, Javier Marín
QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution. CoRR (2022)
Pau Gallés, Katalin Takáts, Miguel Hernández-Cabronero, David Berga, L. Pega, Laura Riordan-Chen, C. Garcia, G. Becker, A. Garriga, A. Bukva, Joan Serra-Sagristà, David Vilaseca, J. Marín
IQUAFLOW: A new framework to measure image quality. CoRR (2022)
David Berga, Xavier Otazu
A Neurodynamic Model of Saliency Prediction in V1. Neural Comput. 34 (2) (2022)
Carola Figueroa Flores, David Berga, Joost van de Weijer, Bogdan C. Raducanu
Saliency for free: Saliency prediction as a side-effect of object recognition. Pattern Recognit. Lett. 150 (2021)
Carola Figueroa Flores, David Berga, Joost van de Weijer, Bogdan C. Raducanu
Saliency for free: Saliency prediction as a side-effect of object recognition. CoRR (2021)
Carola Figueroa Flores, Bogdan C. Raducanu, David Berga, Joost van de Weijer
Hallucinating Saliency Maps for Fine-grained Image Classification for Limited Data Domains. VISIGRAPP (4: VISAPP) (2021)
David Berga, Xavier Otazu
Modeling bottom-up and top-down attention with a neurodynamic model of V1. Neurocomputing 417 (2020)
Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images. CVPR (2020)
Carola Figueroa Flores, Bogdan C. Raducanu, David Berga, Joost van de Weijer
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains. CoRR (2020)
David Berga, Marc Masana, Joost van de Weijer
Disentanglement of Color and Shape Representations for Continual Learning. CoRR (2020)
David Berga, Xosé Ramón Fernández-Vidal, Xavier Otazu, Xosé M. Pardo
SID4VAM: A Benchmark Dataset With Synthetic Images for Visual Attention Modeling. ICCV (2019)
Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost van de Weijer
MineGAN: effective knowledge transfer from GANs to target domains with few images. CoRR (2019)
David Berga, Xosé Ramón Fdez-Vidal, Xavier Otazu, Xosé M. Pardo
SID4VAM: A Benchmark Dataset with Synthetic Images for Visual Attention Modeling. CoRR (2019)
David Berga, Xosé Ramón Fdez-Vidal, Xavier Otazu, Víctor Leborán, Xosé M. Pardo
Psychophysical evaluation of individual low-level feature influences on visual attention. CoRR (2018)
David Berga, Xavier Otazu
A Neurodynamic model of Saliency prediction in V1. CoRR (2018)