1 code implementation • 12 Oct 2022 • David Berga, Pau Gallés, Katalin Takáts, Eva Mohedano, Laura Riordan-Chen, Clara Garcia-Moll, David Vilaseca, Javier Marín
Latest advances in Super-Resolution (SR) have been tested with general purpose images such as faces, landscapes and objects, mainly unused for the task of super-resolving Earth Observation (EO) images.
no code implementations • 20 Jul 2021 • Carola Figueroa-Flores, David Berga, Joost van der Weijer, Bogdan Raducanu
Saliency is the perceptual capacity of our visual system to focus our attention (i. e. gaze) on relevant objects.
no code implementations • 24 Jul 2020 • Carola Figueroa-Flores, Bogdan Raducanu, David Berga, Joost Van de Weijer
Most of the saliency methods are evaluated on their ability to generate saliency maps, and not on their functionality in a complete vision pipeline, like for instance, image classification.
no code implementations • 13 Jul 2020 • David Berga, Marc Masana, Joost Van de Weijer
We hypothesize that disentangled feature representations suffer less from catastrophic forgetting.
2 code implementations • CVPR 2020 • Yaxing Wang, Abel Gonzalez-Garcia, David Berga, Luis Herranz, Fahad Shahbaz Khan, Joost Van de Weijer
We propose a novel knowledge transfer method for generative models based on mining the knowledge that is most beneficial to a specific target domain, either from a single or multiple pretrained GANs.
2 code implementations • ICCV 2019 • David Berga, Xosé R. Fdez-Vidal, Xavier Otazu, Xosé M. Pardo
A benchmark of saliency models performance with a synthetic image dataset is provided.
2 code implementations • 15 Nov 2018 • David Berga, Xavier Otazu
Lateral connections in the primary visual cortex (V1) have long been hypothesized to be responsible of several visual processing mechanisms such as brightness induction, chromatic induction, visual discomfort and bottom-up visual attention (also named saliency).
1 code implementation • 15 Nov 2018 • David Berga, Xosé Ramón Fdez-Vidal, Xavier Otazu, Víctor Leborán, Xosé María Pardo
In this study we provide the analysis of eye movement behavior elicited by low-level feature distinctiveness with a dataset of synthetically-generated image patterns.