Exploració per autor "Salvador Aguilera, Amaia"
Ara es mostren els items 1-20 de 21
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Assessment of crowdsourcing and gamification loss in user-assisted object segmentation
Carlier, Axel; Salvador Aguilera, Amaia; Cabezas, Ferran; Giró Nieto, Xavier; Charvillat, Vincent; Marques, Oge (2015-09-12)
Article
Accés obertThere has been a growing interest in applying human computation – particularly crowdsourcing techniques – to assist in the solution of multimedia, image processing, and computer vision problems which are still too difficult ... -
Bags of local convolutional features for scalable instance search
Mohedano, Eva; Salvador Aguilera, Amaia; McGuinness, Kevin; Marqués Acosta, Fernando; O'Connor, Noel; Giró Nieto, Xavier (Association for Computing Machinery (ACM), 2016)
Comunicació de congrés
Accés obertThis 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 ... -
Budget-aware semi-supervised semantic and instance segmentation
Bellver Bueno, Míriam; Salvador Aguilera, Amaia; Torres Viñals, Jordi; Giró Nieto, Xavier (2019)
Comunicació de congrés
Accés obertMethods that move towards less supervised scenarios are key for image segmentation, as dense labels demand significant human intervention. Generally, the annotation burden is mitigated by labeling datasets with weaker forms ... -
Click'n'Cut: crowdsourced interactive segmentation with object candidates
Carlier, Axel; Charvillat, Vincent; Salvador Aguilera, Amaia; Giró Nieto, Xavier; Marques, Ogé (ACM, 2014)
Comunicació de congrés
Accés obertThis paper introduces Click’n’Cut, a novel web tool for inter- active object segmentation designed for crowdsourcing tasks. Click’n’Cut combines bounding boxes and clicks generated by workers to obtain accurate object ... -
Computer vision beyond the visible : image understanding through language
Salvador Aguilera, Amaia (Universitat Politècnica de Catalunya, 2019-06-27)
Tesi
Accés obertIn the past decade, deep neural networks have revolutionized computer vision. High performing deep neural architectures trained for visual recognition tasks have pushed the field towards methods relying on learned image ... -
Cross-modal embeddings for video and audio retrieval
Surís Coll-Vinent, Dídac; Duarte, Amanda; Salvador Aguilera, Amaia; Torres Viñals, Jordi; Giró Nieto, Xavier (Springer, 2019)
Text en actes de congrés
Accés obertIn this work, we explore the multi-modal information provided by the Youtube-8M dataset by projecting the audio and visual features into a common feature space, to obtain joint audio-visual embeddings. These links are used ... -
Crowdsourced object segmentation with a game
Salvador Aguilera, Amaia; Carlier, Axel; Giró Nieto, Xavier; Marques, Oge; Charvillat, Vincent (2013)
Text en actes de congrés
Accés obertWe introduce a new algorithm for image segmentation based on crowdsourcing through a game : Ask'nSeek. The game provides information on the objects of an image, under the form of clicks that are either on the object, ... -
Cultural event recognition with visual ConvNets and temporal models
Salvador Aguilera, Amaia; Manchon Vizuete, Daniel; Calafell, Andrea; Giró Nieto, Xavier; Zeppelzauer, Matthias (2015)
Comunicació de congrés
Accés obertThis paper presents our contribution to the ChaLearn Challenge 2015 on Cultural Event Classification. The challenge in this task is to automatically classify images from 50 different cultural events. Our solution is based ... -
Diving deep into sentiment: understanding fine-tuned CNNs for visual sentiment prediction
Campos Camúñez, Víctor; Salvador Aguilera, Amaia; Jou, Brendan; Giró Nieto, Xavier (Association for Computing Machinery (ACM), 2015)
Comunicació de congrés
Accés obertVisual media are powerful means of expressing emotions and sentiments. The constant generation of new content in social networks highlights the need of automated visual sentiment analysis tools. While Convolutional Neural ... -
Exploring EEG for object detection and retrieval
Mohedano Robles, Eva; Salvador Aguilera, Amaia; Porta, Sergi; Giró Nieto, Xavier; Healy, Graham; McGuinness, Kevin; O'Connor, Noel; Smeaton, Alan F. (Association for Computing Machinery (ACM), 2015)
Comunicació de congrés
Accés obertThis paper explores the potential for using Brain Computer Interfaces (BCI) as a relevance feedback mechanism in content-based image retrieval. Several experiments are performed using a rapid serial visual presentation ... -
Insight Centre for Data Analytics (DCU) at TRECVid 2014: instance search and semantic indexing tasks
McGuinness, Kevin; Mohedano, Eva; Zhang, ZhenXing; Hu, Feiyan; Abatal, Rami; Gurrin, Cathal; O'Connor, Noel; Smeaton, Alan F.; Salvador Aguilera, Amaia; Giró Nieto, Xavier; Ventura, Carles (2014)
Text en actes de congrés
Accés obertInsight-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
McGuinness, Kevin; Mohedano, Eva; Salvador Aguilera, Amaia; Zhan, Zhenxing; Marsden, Mark; Wang, Peng; Jargalsaikhan, Iveel; Antony, Joseph; Giró Nieto, Xavier; Satoh, Shin'ichi; O'Connor, Noel; Smeaton, Alan F. (2015)
Comunicació de congrés
Accés restringit per política de l'editorialInsight-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 ... -
Inverse cooking: recipe generation from food images
Salvador Aguilera, Amaia; Drozdzal, Michal; Giró Nieto, Xavier; Romero, Adriana (Computer Vision Foundation, 2019)
Text en actes de congrés
Accés obertPeople enjoy food photography because they appreciate food. Behind each meal there is a story described in a complex recipe and, unfortunately, by simply looking at a food image we do not have access to its preparation ... -
Mask-guided sample selection for semi-supervised instance segmentation
Bellver Bueno, Míriam; Salvador Aguilera, Amaia; Torres Viñals, Jordi; Giró Nieto, Xavier (2020-07-05)
Article
Accés obertImage segmentation methods are usually trained with pixel-level annotations, which require significant human effort to collect. Weakly-supervised pipelines are the most common solution to address this constraint because ... -
NII-HITACHI-UIT at TRECVID 2015 instance search
Nguyen, Vinh-Tiep; Le, Duy-Dinh; Salvador Aguilera, Amaia; Zu, Caizhi; Nguyen, Dinh-Luan; Tran, Minh-Triet; Duc, Thanh-Ngo; Duong, Duc-Anh; Satoh, Shin'ichi; Giró Nieto, Xavier (2015)
Comunicació de congrés
Accés restringit per política de l'editorialIn this paper, we propose two methods to improve last year instance search framework. Both of them are based on post processing scheme that try to rerank top K shots returned from BOW model. The rst system is to propose a ... -
Object retrieval with deep convolutional features
Mohedano, Eva; Salvador Aguilera, Amaia; McGuinness, Kevin; Giró Nieto, Xavier; O'Connor, Noel; Marqués Acosta, Fernando (IOS Press, 2017-11-23)
Capítol de llibre
Accés restringit per política de l'editorialDeep 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, ... -
Recurrent semantic instance semantic segmentation
Bellver, Míriam; Salvador Aguilera, Amaia; Campos, Víctor; Marqués Acosta, Fernando; Giró Nieto, Xavier; Torres Viñals, Jordi (Barcelona Supercomputing Center, 2018-04-24)
Text en actes de congrés
Accés obert -
RVOS: end-to-end recurrent network for video object segmentation
Ventura Royo, Carles; Bellver, Míriam; Girbau Xalabarder, Andreu; Salvador Aguilera, Amaia; Marqués Acosta, Fernando; Giró Nieto, Xavier (2019-06-15)
Article
Accés obertMultiple object video object segmentation is a challenging task, specially for the zero-shot case, when no object mask is given at the initial frame and the model has to find the objects to be segmented along the sequence. ... -
RVOS: end-to-end recurrent network for video object segmentation
Ventura Royo, Carles; Bellver Bueno, Míriam; Girbau Xalabarder, Andreu; Salvador Aguilera, Amaia; Marqués Acosta, Fernando; Giró Nieto, Xavier (Computer Vision Foundation, 2019)
Comunicació de congrés
Accés obertMultiple object video object segmentation is a challenging task, specially for the zero-shot case, when no object mask is given at the initial frame and the model has to find the objects to be segmented along the sequence. ... -
Temporal activity detection in untrimmed videos with recurrent neural networks
Montes, Alberto; Salvador Aguilera, Amaia; Pascual, Santiago; Giró Nieto, Xavier (2016)
Comunicació de congrés
Accés obertThis work proposes a simple pipeline to classify and temporally localize activities in untrimmed videos. Our system uses features from a 3D Convolutional Neural Network (C3D) as input to train a a recurrent neural network ...