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] Filters: Author is McGuinness, Kevin [Clear All Filters]
. Investigating EEG for Saliency and Segmentation Applications in Image Processing. . 2013. 
(332.54 KB)
(332.54 KB). Exploiting User Interaction and Object Candidates for Instance Retrieval and Object Segmentation. . 2014. (8.97 MB)
(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)
(2.45 MB). Object segmentation in images using EEG signals. In ACM Multimedia. Orlando, Florida (USA); 2014.
. Exploring EEG for Object Detection and Retrieval. In ACM International Conference on Multimedia Retrieval (ICMR) . Shanghai, China; 2015. (5.37 MB)
(5.37 MB). Improving Object Segmentation by using EEG signals and Rapid Serial Visual Presentation. Multimedia Tools and Applications. 2015;. (3.86 MB)
(3.86 MB). Improving Spatial Codification in Semantic Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. Quebec City: IEEE; 2015. (18.81 MB)
(18.81 MB). Improving Spatial Codification in Semantic Segmentation (Supplementary Material). 2015 . (18.81 MB)
(18.81 MB). Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015. (2.13 MB)
(2.13 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). Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
. Shallow and Deep Convolutional Networks for Saliency Prediction. In IEEE Conference on Computer Vision and Pattern Recognition, CVPR. Las Vegas, NV, USA: Computer Vision Foundation / IEEE; 2016. (466.13 KB)
(466.13 KB). Time-sensitive Egocentric Image Retrieval for Fidings Objects in Lifelogs. . 2016. (10.23 MB)
(10.23 MB). Video Retrieval of Specific Persons in Specific Locations. . 2016. (17.14 MB)
(17.14 MB). Where did I leave my phone ?. Las Vegas, NV, USA: 4th Workshop on Egocentric (First-Person) Vision, CVPR 2016; 2016 . (312.27 KB)
(312.27 KB). Where is my Phone? Personal Object Retrieval from Egocentric Images. In Lifelogging Tools and Applications Workshop in ACM Multimedia. Amsterdam, The Netherlands: ACM; 2016. (1.43 MB)
(1.43 MB). Fine-tuning of CNN models for Instance Search with Pseudo-Relevance Feedback. Long Beach, CA, USA: NIPS 2017 Women in Machine Learning Workshop; 2017. (341.96 KB)
(341.96 KB). The impact of visual saliency prediction in image classification. . 2017. (828.66 KB)
(828.66 KB). Object Retrieval with Deep Convolutional Features. In Deep Learning for Image Processing Applications. Amsterdam, The Netherlands: IOS Press; 2017.
. SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. In CVPR 2017 Scene Understanding Workshop (SUNw). Honolulu, Hawaii, USA; 2017. (1.85 MB)
(1.85 MB). SaltiNet: Scan-path Prediction on 360 Degree Images using Saliency Volumes. In ICCV Workshop on Egocentric Perception, Interaction and Computing. Venice, Italy: IEEE; 2017. (2.34 MB)
(2.34 MB). The Temporal Dimension of Visual Attention Models. . 2017. (6.98 MB)
(6.98 MB). Demonstration of an Open Source Framework for Qualitative Evaluation of CBIR Systems. In ACM Multimedia. Seoul, South Korea: ACM; 2018. (11.05 MB)
(11.05 MB). The Importance of Time in Visual Attention Models. . 2018. (5.46 MB)
(5.46 MB). PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks. In ECCV 2018 Workshop on Egocentric Perception, Interaction and Compution (EPIC). Munich, Germany: Springer; 2018. (3.78 MB)
(3.78 MB)