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Kevin McGuinness
Kevin McGuinness
Assistant Professor, Dublin City University
Verifisert e-postadresse på dcu.ie - Startside
Tittel
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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
10742019
Unsupervised label noise modeling and loss correction
E Arazo, D Ortego, P Albert, NE O'Connor, K McGuinness
International Conference on Machine Learning (ICML), 2019
7442019
Shallow and deep convolutional networks for saliency prediction
J Pan, E Sayrol, X Giro-i-Nieto, K McGuinness, NE O'Connor
Computer Vision and Pattern Recognition (CVPR), 598-606, 2016
5802016
SalGAN: Visual saliency prediction with generative adversarial networks
J Pan, C Canton, K McGuinness, NE O’Connor, J Torres, E Sayrol, ...
CVPR 2017 Scene Understanding Workshop (SUNw), 2017
5172017
A comparative evaluation of interactive segmentation algorithms
K McGuinness, NE O’connor
Pattern Recognition 43 (2), 434-444, 2010
4082010
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
3462016
Automatic detection of knee joints and quantification of knee osteoarthritis severity using convolutional neural networks
J Antony, K McGuinness, K Moran, NE O’Connor
Machine Learning and Data Mining in Pattern Recognition: 13th International …, 2017
2202017
Bags of local convolutional features for scalable instance search
E Mohedano, K McGuinness, NE O'Connor, A Salvador, F Marques, ...
International Conference on Multimedia Retrieval (ICMR), 327-331, 2016
2052016
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
1982016
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
1652017
Multi-Objective Interpolation Training for Robustness to Label Noise
D Ortego, E Arazo, P Albert, NE O'Connor, K McGuinness
Computer Vision and Pattern Recognition (CVPR), 2021
1452021
Saltinet: Scan-path prediction on 360 degree images using saliency volumes
M Assens Reina, X Giro-i-Nieto, K McGuinness, NE O'Connor
International Conference on Computer Vision (ICCV) Workshops, 2331-2338, 2017
1432017
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
Computer Vision and Pattern Recognition (CVPR), 8070-8079, 2018
1112018
WAV2PIX: Speech-conditioned Face Generation using Generative Adversarial Networks.
AC Duarte, F Roldan, M Tubau, J Escur, S Pascual, A Salvador, ...
ICASSP 2019, 8633-8637, 2019
1062019
Simple vs complex recurrences for video saliency prediction
P Linardos, E Mohedano, JJ Nieto, NE O'Connor, X Giro-i-Nieto, ...
British Machine Vision Conference (BMVC), 2019
105*2019
PathGAN: visual scanpath prediction with generative adversarial networks
M Assens, X Giro-i-Nieto, K McGuinness, NE O'Connor
Proceedings of the European Conference on Computer Vision (ECCV), 2018
982018
Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images
J Abedin, J Antony, K McGuinness, K Moran, NE O’Connor, ...
Scientific reports 9 (1), 5761, 2019
892019
Unsupervised Contrastive Learning of Sound Event Representations
E Fonseca, D Ortego, K McGuinness, NE O'Connor, X Serra
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2021
842021
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
832016
Toward automated evaluation of interactive segmentation
K McGuinness, NE O’Connor
Computer Vision and Image Understanding 115 (6), 868-884, 2011
652011
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Artikler 1–20