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] . Exploring EEG for Object Detection and Retrieval. In ACM International Conference on Multimedia Retrieval (ICMR) . Shanghai, China; 2015. 
(5.37 MB)
(5.37 MB). Diving Deep into Sentiment: Understanding Fine-tuned CNNs for Visual Sentiment Prediction. In 1st International Workshop on Affect and Sentiment in Multimedia. Brisbane, Australia: ACM; 2015. (506.22 KB)
(506.22 KB). Cultural Event Recognition with Visual ConvNets and Temporal Models. In CVPR ChaLearn Looking at People Workshop 2015. 2015. (1.09 MB)
(1.09 MB). Crowdsourced Object Segmentation with a Game. . 2013. (1.34 MB)
(1.34 MB). Crowdsourced Object Segmentation with a Game. In ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). Barcelona; 2013. (1.22 MB)
(1.22 MB). Cross-modal Embeddings for Video and Audio Retrieval. In ECCV 2018 Women in Computer Vision Workshop. Munich, Germany: Springer; 2018. (1.07 MB)
(1.07 MB). Computer Vision beyond the visible: Image understanding through language. . Signal Theory and Communications. [Barcelona]: Universitat Politecnica de Catalunya; 2019.
. Co-filtering human interaction and object segmentation. . 2015. (1.82 MB)
(1.82 MB). Click’n’Cut: Crowdsourced Interactive Segmentation with Object Candidates. In 3rd International ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). Orlando, Florida (USA); 2014. (1017.73 KB)
(1017.73 KB). Budget-aware Semi-Supervised Semantic and Instance Segmentation. In CVPR 2019 DeepVision Workshop. Long Beach, CA, USA: OpenCVF; 2019. (6.59 MB)
(6.59 MB). Bags of Local Convolutional Features for Scalable Instance Search. In ACM International Conference on Multimedia Retrieval (ICMR). New York City, NY; USA: ACM; 2016. (3.73 MB)
(3.73 MB). Assessment of Crowdsourcing and Gamification Loss in User-Assisted Object Segmentation. Multimedia Tools and Applications. 2016;23(75). (5.05 MB)
(5.05 MB). Artificial intelligence suggests recipes based on food photos. Boston: MIT News; 2017.