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A
Górriz M, Antony J, McGuinness K, Giró-i-Nieto X, O'Connor N. Assessing Knee OA Severity with CNN attention-based end-to-end architectures. In International Conference on Medical Imaging with Deep Learning (MIDL) 2019. London, United Kingdom: JMLR; 2019.  (3.1 MB)
B
Mohedano E, Salvador A, McGuinness K, Giró-i-Nieto X, O'Connor N, Marqués F. 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)
F
Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. 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)
I
Arazo E. The impact of visual saliency prediction in image classification. McGuinness K, Mohedano E, Giró-i-Nieto X. 2017.  (828.66 KB)
Coll-Pol M. The Importance of Time in Visual Attention Models. McGuinness K, Giró-i-Nieto X. 2018.  (5.46 MB)
Mohedano E, Healy G, McGuinness K, Giró-i-Nieto X, O'Connor N, Smeaton AF. Improving Object Segmentation by using EEG signals and Rapid Serial Visual Presentation. Multimedia Tools and Applications. 2015;.  (3.86 MB)
Ventura C, Giró-i-Nieto X, Vilaplana V, McGuinness K, Marqués F, O'Connor N. Improving Spatial Codification in Semantic Segmentation. In IEEE International Conference on Image Processing (ICIP), 2015. Quebec City: IEEE; 2015.  (18.81 MB)
Ventura C, Giró-i-Nieto X, Vilaplana V, McGuinness K, Marqués F, O'Connor NE. Improving Spatial Codification in Semantic Segmentation (Supplementary Material). 2015 .  (18.81 MB)
McGuinness K, Mohedano E, Zhang ZX, Hu F, Albatal R, Gurrin C, et al.. 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)
McGuinness K, Mohedano E, Salvador A, Zhang ZX, Marsden M, Wang P, et al.. Insight DCU at TRECVID 2015. In TRECVID 2015 Workshop. Gaithersburg, MD, USA: NIST; 2015.  (2.13 MB)
Caselles P. Integrating low-level motion cues in deep video saliency. McGuinness K, Giró-i-Nieto X. 2019.  (10.04 MB)
Mohedano E. Investigating EEG for Saliency and Segmentation Applications in Image Processing. McGuinness K, Giró-i-Nieto X, O'Connor N. 2013.  (332.54 KB)
P
Assens M, McGuinness K, Giró-i-Nieto X, O'Connor N. 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)
S
Pan J, Canton-Ferrer C, McGuinness K, O'Connor N, Torres J, Sayrol E, et al.. SalGAN: Visual Saliency Prediction with Generative Adversarial Networks. In CVPR 2017 Scene Understanding Workshop (SUNw). Honolulu, Hawaii, USA; 2017.  (1.85 MB)
Mohedano E, McGuinness K, Giró-i-Nieto X, O'Connor N. Saliency Weighted Convolutional Features for Instance Search. In Content-Based Multimedia Indexing - CBMI. La Rochelle, France: IEEE; 2018.  (3.8 MB)
Assens M, McGuinness K, Giró-i-Nieto X, O'Connor N. 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)
Assens M, McGuinness K, O'Connor N, Giró-i-Nieto X. Scanpath and Saliency Prediction on 360 Degree Images. Elsevier Signal Processing: Image Communication. 2018;.  (2.61 MB)
Pan J, McGuinness K, Sayrol E, O'Connor N, Giró-i-Nieto X. 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)
Linardos P, Mohedano E, Nieto JJosé, O'Connor N, Giró-i-Nieto X, McGuinness K. Simple vs complex temporal recurrences for video saliency prediction. In British Machine Vision Conference (BMVC). In Press.

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