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 • 18 Dec 2020 • Feiyan Hu, Eva Mohedano, Noel O'Connor, Kevin McGuinness
Current deep learning based video classification architectures are typically trained end-to-end on large volumes of data and require extensive computational resources.
2 code implementations • 3 Jul 2019 • Panagiotis Linardos, Eva Mohedano, Juan Jose Nieto, Noel E. O'Connor, Xavier Giro-i-Nieto, Kevin McGuinness
This paper investigates modifying an existing neural network architecture for static saliency prediction using two types of recurrences that integrate information from the temporal domain.
1 code implementation • 18 Apr 2019 • Federico Magliani, Kevin McGuinness, Eva Mohedano, Andrea Prati
The application of the diffusion in many computer vision and artificial intelligence projects has been shown to give excellent improvements in performance.
3 code implementations • 25 Mar 2019 • Amanda Duarte, Francisco Roldan, Miquel Tubau, Janna Escur, Santiago Pascual, Amaia Salvador, Eva Mohedano, Kevin McGuinness, Jordi Torres, Xavier Giro-i-Nieto
Speech is a rich biometric signal that contains information about the identity, gender and emotional state of the speaker.
2 code implementations • 28 Aug 2018 • Panagiotis Linardos, Eva Mohedano, Monica Cherto, Cathal Gurrin, Xavier Giro-i-Nieto
This work adapts a deep neural model for image saliency prediction to the temporal domain of egocentric video.
1 code implementation • 29 Nov 2017 • Eva Mohedano, Kevin McGuinness, Xavier Giro-i-Nieto, Noel E. O'Connor
This work explores attention models to weight the contribution of local convolutional representations for the instance search task.
no code implementations • 29 Aug 2016 • Cristian Reyes, Eva Mohedano, Kevin McGuinness, Noel E. O'Connor, Xavier Giro-i-Nieto
This work presents a retrieval pipeline and evaluation scheme for the problem of finding the last appearance of personal objects in a large dataset of images captured from a wearable camera.
2 code implementations • 15 Apr 2016 • Eva Mohedano, Amaia Salvador, Kevin McGuinness, Ferran Marques, Noel E. O'Connor, Xavier Giro-i-Nieto
This work proposes a simple instance retrieval pipeline based on encoding the convolutional features of CNN using the bag of words aggregation scheme (BoW).
no code implementations • 9 Apr 2015 • Eva Mohedano, Amaia Salvador, Sergi Porta, Xavier Giró-i-Nieto, Graham Healy, Kevin McGuinness, Noel O'Connor, Alan F. Smeaton
We show that it is indeed possible to detect such objects in complex images and, also, that users with previous knowledge on the dataset or experience with the RSVP outperform others.
no code implementations • 19 Aug 2014 • Eva Mohedano, Graham Healy, Kevin McGuinness, Xavier Giro-i-Nieto, Noel E. O'Connor, Alan F. Smeaton
This paper explores the potential of brain-computer interfaces in segmenting objects from images.