Browsing by Author "Mohedano, Eva"
Now showing items 1-10 of 10
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Bags of local convolutional features for scalable instance search
(Association for Computing Machinery (ACM), 2016)
Conference lecture
Open AccessThis 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 array of activations in a convolutional layer ... -
Demonstration of an open source framework for qualitative evaluation of CBIR systems
(Association for Computing Machinery (ACM), 2018)
Conference lecture
Open AccessEvaluating image retrieval systems in a quantitative way, for example by computing measures like mean average precision, allows for objective comparisons with a ground-truth. However, in cases where ground-truth is not ... -
Improving object segmentation by using EEG signals and rapid serial visual presentation
(2015-07-31)
Article
Open AccessThis paper extends our previous work on the potential of EEG-based brain computer interfaces to segment salient objects in images. The proposed system analyzes the Event Related Potentials (ERP) generated by the rapid ... -
Insight Centre for Data Analytics (DCU) at TRECVid 2014: instance search and semantic indexing tasks
(2014)
Conference report
Open AccessInsight-DCU participated in the instance search (INS) and semantic indexing (SIN) tasks in 2014. Two very different approaches were submitted for instance search, one based on features extracted using pre-trained deep ... -
Insight DCU at TRECVID 2015
(2015)
Conference lecture
Restricted access - publisher's policyInsight-DCU participated in the instance search (INS), semantic indexing (SIN), and localization tasks (LOC) this year. In the INS task we used deep convolutional network features trained on external data and the query ... -
Object retrieval with deep convolutional features
(IOS Press, 2017-11-23)
Part of book or chapter of book
Restricted access - publisher's policyDeep learning and image processing are two areas of great interest to academics and industry professionals alike. The areas of application of these two disciplines range widely, encompassing fields such as medicine, robotics, ... -
Object segmentation in images using EEG signals
(ACM, 2014)
Conference lecture
Open AccessThis paper explores the potential of brain-computer interfaces in segmenting objects from images. Our approach is centered around designing an effective method for displaying the image parts to the users such that they ... -
Simple vs complex temporal recurrences for video saliency prediction
(2019)
Conference lecture
Restricted access - publisher's policyThis paper investigates modifying an existing neural network architecture for static saliency prediction using two types of recurrences that integrate information from the temporal domain. The first modification is the ... -
Wav2Pix: speech-conditioned face generation using generative adversarial networks
(Institute of Electrical and Electronics Engineers (IEEE), 2019)
Conference lecture
Restricted access - publisher's policySpeech is a rich biometric signal that contains information about the identity, gender and emotional state of the speaker. In this work, we explore its potential to generate face images of a speaker by conditioning a ... -
Where is my phone?: personal object retrieval from egocentric images
(Association for Computing Machinery (ACM), 2016)
Conference lecture
Restricted access - publisher's policyThis 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. Each personal object is modelled ...
