Search Publication
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)
. Exploring EEG for Object Detection and Retrieval. In ACM International Conference on Multimedia Retrieval (ICMR) . Shanghai, China; 2015. (5.37 MB)
. Fine-tuning a Convolutional Network for Cultural Event Recognition. . 2015. (11.14 MB)
. Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (2.13 MB)
. Layer-wise CNN Surgery for Visual Sentiment Prediction. . 2015. (1.51 MB)
. NII-HITACHI-UIT at TRECVID 2015 Instance Search. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (1.53 MB)
. Quality Control in Crowdsourced Object Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. 2015. (362.33 KB)
. Rapid Serial Visual Presentation for Relevance Feedback in Image Retrieval with EEG Signals. . 2015. (1.38 MB)
. Region-oriented Convolutional Networks for Object Retrieval. . 2015. (8.02 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)
. Exploiting User Interaction and Object Candidates for Instance Retrieval and Object Segmentation. . 2014. (8.97 MB)
. Insight Centre for Data Analytics (DCU) at TRECVid 2014: Instance Search and Semantic Indexing Tasks. In 2014 TRECVID Workshop. Orlando, Florida (USA): National Institute of Standards and Technology (NIST); 2014. (2.45 MB)
. Crowdsourced Object Segmentation with a Game. . 2013. (1.34 MB)
. Crowdsourced Object Segmentation with a Game. In ACM Workshop on Crowdsourcing for Multimedia (CrowdMM). Barcelona; 2013. (1.22 MB)
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