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. Predicting Media Interestingness. . 2017. 
(1.78 MB)
(1.78 MB). Registration of Images to Unorganized 3D Point Clouds Using Contour Cues. In The 25th European Signal Processing Conference (EUSIPCO 2017). Kos island, Greece: Eurasip; 2017. (3.14 MB)
(3.14 MB). 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). Scaling a Convolutional Neural Network for classification of Adjective Noun Pairs with TensorFlow on GPU Clusters. In 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid). Madrid, Spain: IEEE; 2017.
. Segmentation-based Multi-Scale Edge Extraction to Measure the Persistence of Features in Unorganized Point Clouds. In International Conference on Computer Vision Theory and Applications. Porto, Portugal; 2017. (4.3 MB)
(4.3 MB). Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. In NIPS Time Series Workshop 2017. Long Beach, CA, USA; 2017. (427.72 KB)
(427.72 KB). Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks. In NIPS Time Series Workshop 2017. Long Beach, CA, USA; 2017. (427.72 KB)
(427.72 KB). 3D Convolutional Neural Networks for Brain Tumor Segmentation. In MICCAI 2016 - Brain Lesion Workshop (BrainLes), Multimodal Brain Tumor Segmentation Challenge (BRATS). 2016. (226.04 KB)
(226.04 KB). 3D Point Cloud Segmentation Oriented to The Analysis of Interactions. In The 24th European Signal Processing Conference (EUSIPCO 2016). Budapest, Hungary: Eurasip; 2016. (10.54 MB)
(10.54 MB). 3D Point Cloud Video Segmentation Based on Interaction Analysis. In ECCV 2016: Computer Vision – ECCV 2016 Workshops. Amsterdam: Springer; 2016. pp. 821 - 835. (10 MB)
(10 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). Assessment of Crowdsourcing and Gamification Loss in User-Assisted Object Segmentation. Multimedia Tools and Applications. 2016;23(75). (5.05 MB)
(5.05 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). Clustering and Prediction of Adjective-Noun Pairs for Affective Computing. . 2016. (10.38 MB)
(10.38 MB). Clustering and Prediction of Adjective-Noun Pairs for Affective Computing. . 2016. (10.38 MB)
(10.38 MB). Detect Snap Points in Egocentric Images with Physiological Signals. . 2016. (4.63 MB)
(4.63 MB). Dublin City University and Partners' Participation in the INS and VTT Tracks at TRECVid 2016. In TRECVID Workshop 2016. Gaithersburg, MD, USA; 2016.
. EgoMemNet: Visual Memorability Adaptation to Egocentric Images. Las Vegas, NV, USA: 4th Workshop on Egocentric (First-Person) Vision, CVPR 2016; 2016 . (265.4 KB)
(265.4 KB). EgoMon Gaze and Video Dataset for Visual Saliency Prediction. . 2016. (1.48 MB)
(1.48 MB). Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. . 2016. (4.52 MB)
(4.52 MB). Feature Selection Methods for Predicting Pre-Clinical Stage in Alzheimer's Disease. . 2016. (4.52 MB)
(4.52 MB). Graph based Dynamic Segmentation of Generic Objects in 3D. In CVPR SUNw: Scene Understanding Workshop. Las Vegas, US; 2016. (956.15 KB)
(956.15 KB). Is a “happy dog” more “happy” than “dog”? - Adjective and Noun Contributions for Adjective-Noun Pair prediction. NIPS Women in Machine Learning Workshop. Barcelona; 2016. (3.11 MB)
(3.11 MB). Is a “happy dog” more “happy” than “dog”? - Adjective and Noun Contributions for Adjective-Noun Pair prediction. NIPS Women in Machine Learning Workshop. Barcelona; 2016. (3.11 MB)
(3.11 MB). Interactive Registration Method for 3D data Fusion. In IC3D. Liège, Belgium: IEEE; 2016. (2.04 MB)
(2.04 MB)