26 citations · 26 across the 3 of their papers we have counts for
5 papers
Simple vs complex temporal recurrences for video saliency prediction
Panagiotis Linardos, Eva Mohedano, Juan Jose Nieto +3
This paper investigates modifying an existing neural network architecture for static saliency prediction using two types of recurrences that integrate information from the temporal…
An Efficient Approximate kNN Graph Method for Diffusion on Image Retrieval
Federico Magliani, Kevin McGuinness, Eva Mohedano +1
The application of the diffusion in many computer vision and artificial intelligence projects has been shown to give excellent improvements in performance. One of the main bottlene…
Saliency Weighted Convolutional Features for Instance Search
Eva Mohedano, Kevin McGuinness, Xavier Giro-i-Nieto +1
This work explores attention models to weight the contribution of local convolutional representations for the instance search task. We present a retrieval framework based on bags o…
Bags of Local Convolutional Features for Scalable Instance Search
Eva Mohedano, Amaia Salvador, Kevin McGuinness +3
This work proposes a simple instance retrieval pipeline based on encoding the convolutional features of CNN using the bag of words aggregation scheme (BoW). Assigning each local ar…
Exploring EEG for Object Detection and Retrieval
Eva Mohedano, Amaia Salvador, Sergi Porta +5
This paper explores the potential for using Brain Computer Interfaces (BCI) as a relevance feedback mechanism in content-based image retrieval. We investigate if it is possible to…