| Shallow and deep convolutional networks for saliency prediction J Pan, E Sayrol, X Giro-i-Nieto, K McGuinness, NE O'Connor Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 392 | 2016 |
| Event detection in field sports video using audio-visual features and a support vector machine DA Sadlier, NE O'Connor IEEE Transactions on Circuits and Systems for Video Technology 15 (10), 1225 …, 2005 | 306 | 2005 |
| A multiscale representation method for nonrigid shapes with a single closed contour T Adamek, NE O'Connor IEEE Transactions on Circuits and Systems for Video Technology 14 (5), 742-753, 2004 | 302 | 2004 |
| A comparative evaluation of interactive segmentation algorithms K McGuinness, NE O’connor Pattern Recognition 43 (2), 434-444, 2010 | 288 | 2010 |
| Salgan: Visual saliency prediction with generative adversarial networks J Pan, CC Ferrer, K McGuinness, NE O'Connor, J Torres, E Sayrol, ... arXiv preprint arXiv:1701.01081, 2017 | 275 | 2017 |
| Evaluating a dancer's performance using kinect-based skeleton tracking DS Alexiadis, P Kelly, P Daras, NE O'Connor, T Boubekeur, MB Moussa Proceedings of the 19th ACM international conference on Multimedia, 659-662, 2011 | 213 | 2011 |
| Passively recognising human activities through lifelogging AR Doherty, N Caprani, CÓ Conaire, V Kalnikaite, C Gurrin, AF Smeaton, ... Computers in Human Behavior 27 (5), 1948-1958, 2011 | 155 | 2011 |
| Classification of sporting activities using smartphone accelerometers E Mitchell, D Monaghan, NE O'Connor Sensors 13 (4), 5317-5337, 2013 | 154 | 2013 |
| Touch screens for the older user N Caprani, NE O’Connor, C Gurrin Assistive technologies, 95-118, 2012 | 154 | 2012 |
| Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks J Antony, K McGuinness, NE O'Connor, K Moran 2016 23rd International Conference on Pattern Recognition (ICPR), 1195-1200, 2016 | 146 | 2016 |
| Bags of local convolutional features for scalable instance search E Mohedano, K McGuinness, NE O'Connor, A Salvador, F Marques, ... Proceedings of the 2016 ACM on International Conference on Multimedia …, 2016 | 145 | 2016 |
| Unsupervised label noise modeling and loss correction E Arazo, D Ortego, P Albert, N O’Connor, K McGuinness International Conference on Machine Learning, 312-321, 2019 | 130 | 2019 |
| Fully convolutional crowd counting on highly congested scenes M Marsden, K McGuinness, S Little, NE O'Connor arXiv preprint arXiv:1612.00220, 2016 | 127 | 2016 |
| Word matching using single closed contours for indexing handwritten historical documents T Adamek, NE O’Connor, AF Smeaton International Journal of Document Analysis and Recognition (IJDAR) 9 (2-4 …, 2007 | 126 | 2007 |
| Automatic TV advertisement detection from MPEG bitstream DA Sadlier, S Marlow, N O'Connor, N Murphy Pattern Recognition 35 (12), 2719-2726, 2002 | 126 | 2002 |
| Detector adaptation by maximising agreement between independent data sources CO Conaire, NE O'Connor, AF Smeaton 2007 IEEE Conference on Computer Vision and Pattern Recognition, 1-6, 2007 | 123 | 2007 |
| Constructing a SenseCam visual diary as a media process H Lee, AF Smeaton, NE O’connor, G Jones, M Blighe, D Byrne, A Doherty, ... Multimedia Systems 14 (6), 341-349, 2008 | 117 | 2008 |
| Experiences of aiding autobiographical memory using the SenseCam AR Doherty, K Pauly-Takacs, N Caprani, C Gurrin, CJA Moulin, ... Human–Computer Interaction 27 (1-2), 151-174, 2012 | 115 | 2012 |
| Evaluating and combining digital video shot boundary detection algorithms P Browne, AF Smeaton, N Murphy, NE O'Connor, S Marlow, C Berrut IMVIP 2000 - Irish Machine Vision and Image Processing Conference, 31 August …, 2000 | 115 | 2000 |
| Pseudo-labeling and confirmation bias in deep semi-supervised learning E Arazo, D Ortego, P Albert, NE O’Connor, K McGuinness 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 104 | 2020 |
Alan F. Smeaton MRIA FIEEEProf of Computing / Founding Director, Insight Centre for Data Analytics, Dublin City University在 dcu.ie 的电子邮件经过验证
