Follow
Diego Ortego Hernández
Diego Ortego Hernández
Senior Research Scientist, NielsenIQ (Spain)
Verified email at nielseniq.com - Homepage
Title
Cited by
Cited by
Year
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning
E Arazo, D Ortego, P Albert, NE O'Connor, K McGuinness
International Joint Conference on Neural Networks (IJCNN), 2020, 2020
9622020
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
6942019
Multi-Objective Interpolation Training for Robustness to Label Noise
D Ortego, E Arazo, P Albert, NE O'Connor, K McGuinness
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 2021
1242021
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
752021
VisDrone-VDT2018: The vision meets drone video detection and tracking challenge results
P Zhu, L Wen, D Du, X Bian, H Ling, Q Hu, H Wu, Q Nie, H Cheng, C Liu, ...
Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018
742018
Abandoned object detection in video-surveillance: survey and comparison
E Luna, JC San Miguel, D Ortego, JM Martínez
Sensors 18 (12), 4290, 2018
542018
Towards Robust Learning with Different Label Noise Distributions
D Ortego, E Arazo, P Albert, NE O'Connor, K McGuinness
International Conference on Pattern Recognition (ICPR), 2020, 2020
332020
Rejection based multipath reconstruction for background estimation in video sequences with stationary objects
D Ortego, JC SanMiguel, JM Martínez
Computer Vision and Image Understanding 147, 23-37, 2016
322016
Addressing out-of-distribution label noise in webly-labelled data
P Albert, D Ortego, E Arazo, NE O'Connor, K McGuinness
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
212022
Hierarchical improvement of foreground segmentation masks in background subtraction
D Ortego, JC SanMiguel, JM Martínez
IEEE Transactions on Circuits and Systems for Video Technology, 2018
212018
Stationary foreground detection for video-surveillance based on foreground and motion history images
D Ortego, JC SanMiguel
2013 10th IEEE International Conference on Advanced Video and Signal Based …, 2013
142013
Stand-alone quality estimation of background subtraction algorithms
D Ortego, JC SanMiguel, JM Martínez
Computer Vision and Image Understanding 162, 87-102, 2017
112017
Multi-feature stationary foreground detection for crowded video-surveillance
D Ortego, JC SanMiguel
2014 IEEE International Conference on Image Processing (ICIP), 2403-2407, 2014
112014
Relab: Reliable label bootstrapping for semi-supervised learning
P Albert, D Ortego, E Arazo, N O'Connor, K McGuinness
2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021
102021
Long-term stationary object detection based on spatio-temporal change detection
D Ortego, JC SanMiguel, JM Martinez
IEEE Signal Processing Letters 22 (12), 2368-2372, 2015
102015
Domain randomization for object counting
E Moreu, K McGuinness, D Ortego, NE O'Connor
arXiv preprint arXiv:2202.08670, 2022
72022
How important is importance sampling for deep budgeted training?
E Arazo, D Ortego, P Albert, NE O'Connor, K McGuinness
arXiv preprint arXiv:2110.14283, 2021
72021
Toward the automatic retrieval and annotation of outsider art images: A preliminary statement
J Roberto, D Ortego, B Davis
Proceedings of the 1st International Workshop on Artificial Intelligence for …, 2020
72020
Rejection based multipath reconstruction for background estimation in SBMnet 2016 dataset
D Ortego, JC SanMiguel, JM Martínez
2016 23rd International Conference on Pattern Recognition (ICPR), 114-119, 2016
52016
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias
M Almagro, E Almazán, D Ortego, D Jiménez
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023
32023
The system can't perform the operation now. Try again later.
Articles 1–20