Kevin McGuinness
Kevin McGuinness
Assistant Professor, Dublin City University
在 dcu.ie 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
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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
4102016
SalGAN: Visual saliency prediction with generative adversarial networks
J Pan, C Canton, K McGuinness, NE O’Connor, J Torres, E Sayrol, ...
arXiv preprint arXiv:1701.01081, 2017
2962017
A comparative evaluation of interactive segmentation algorithms
K McGuinness, NE O’connor
Pattern Recognition 43 (2), 434-444, 2010
2932010
Unsupervised label noise modeling and loss correction
E Arazo, D Ortego, P Albert, NE O'Connor, K McGuinness
International Conference on Machine Learning, 2019
1602019
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
1572016
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
1532016
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), 2019
1352019
Fully convolutional crowd counting on highly congested scenes
M Marsden, K McGuinness, S Little, NE O'Connor
International Joint Conference on Computer Vision, Imaging and Computer …, 2016
1302016
ResnetCrowd: A residual deep learning architecture for crowd counting, violent behaviour detection and crowd density level classification
M Marsden, K McGuinness, S Little, NE O'Connor
IEEE International Conference on Advanced Video and Signal Based …, 2017
912017
Automatic detection of knee joints and quantification of knee osteoarthritis severity using convolutional neural networks
J Antony, K McGuinness, K Moran, NE O’Connor
International conference on machine learning and data mining in pattern …, 2017
692017
Holistic features for real-time crowd behaviour anomaly detection
M Marsden, K McGuinness, S Little, NE O'Connor
2016 IEEE International Conference on Image Processing (ICIP), 918-922, 2016
612016
Saltinet: Scan-path prediction on 360 degree images using saliency volumes
M Assens Reina, X Giro-i-Nieto, K McGuinness, NE O'Connor
Proceedings of the IEEE International Conference on Computer Vision …, 2017
592017
Toward automated evaluation of interactive segmentation
K McGuinness, NE O’Connor
Computer Vision and Image Understanding 115 (6), 868-884, 2011
552011
People, penguins and petri dishes: Adapting object counting models to new visual domains and object types without forgetting
M Marsden, K McGuinness, S Little, CE Keogh, NE O'Connor
Proceedings of the IEEE conference on computer vision and pattern …, 2018
482018
The video browser showdown: a live evaluation of interactive video search tools
K Schoeffmann, D Ahlström, W Bailer, C Cobârzan, F Hopfgartner, ...
International Journal of Multimedia Information Retrieval 3 (2), 113-127, 2014
482014
K-space at TRECVid 2007
P Wilkins, T Adamek, D Byrne, G Jones, H Lee, G Keenan, KM Guinness, ...
TRECVid 2007-Text REtrieval Conference TRECVid Workshop, 2007
382007
WAV2PIX: Speech-conditioned Face Generation using Generative Adversarial Networks.
AC Duarte, F Roldan, M Tubau, J Escur, S Pascual, A Salvador, ...
ICASSP, 8633-8637, 2019
372019
AXES at TRECVID 2012: KIS, INS, and MED
R Aly, K McGuinness, S Chen, NE O'Connor, K Chatfield, OM Parkhi, ...
TRECVid 2012-Text REtrieval Conference TRECVid Workshop, 2012
37*2012
The AXES submissions at TrecVid 2013
R Aly, R Arandjelovic, K Chatfield, M Douze, B Fernando, Z Harchaoui, ...
TRECVid 2013 - Text REtrieval Conference TRECVid Workshop, 2013
342013
SalGAN: Visual saliency prediction with adversarial networks
J Pan, E Sayrol, XG Nieto, CC Ferrer, J Torres, K McGuinness, ...
CVPR Scene Understanding Workshop (SUNw), 2017
332017
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