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2020 – today
- 2024
[i13]Kunal Dahiya, Diego Ortego, David Jiménez:
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss. CoRR abs/2410.20401 (2024)- 2023
- [c15]Mario Almagro
, Emilio J. Almazán, Diego Ortego, David Jiménez:
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias. KDD 2023: 36-46 - [i12]Mario Almagro, Emilio J. Almazán, Diego Ortego, David Jiménez:
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias. CoRR abs/2307.02912 (2023) - 2022
- [c14]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Addressing out-of-distribution label noise in webly-labelled data. WACV 2022: 2393-2402 - [i11]Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor:
Domain Randomization for Object Counting. CoRR abs/2202.08670 (2022) - [i10]Mario Almagro, David Jiménez, Diego Ortego, Emilio J. Almazán, Eva Martínez:
Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching. CoRR abs/2207.02008 (2022) - 2021
- [c13]Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor:
Domain Randomization for Object Counting. AICS 2021: 25-35 - [c12]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
How Important is Importance Sampling for Deep Budgeted Training? BMVC 2021: 335 - [c11]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Multi-Objective Interpolation Training for Robustness To Label Noise. CVPR 2021: 6606-6615 - [c10]Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra:
Unsupervised Contrastive Learning of Sound Event Representations. ICASSP 2021: 371-375 - [c9]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. IJCNN 2021: 1-8 - [i9]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
Addressing out-of-distribution label noise in webly-labelled data. CoRR abs/2110.13699 (2021) - [i8]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
How Important is Importance Sampling for Deep Budgeted Training? CoRR abs/2110.14283 (2021) - 2020
- [c8]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Towards Robust Learning with Different Label Noise Distributions. ICPR 2020: 7020-7027 - [c7]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. IJCNN 2020: 1-8 - [i7]Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness:
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. CoRR abs/2007.11866 (2020) - [i6]Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra:
Unsupervised Contrastive Learning of Sound Event Representations. CoRR abs/2011.07616 (2020) - [i5]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Multi-Objective Interpolation Training for Robustness to Label Noise. CoRR abs/2012.04462 (2020)
2010 – 2019
- 2019
- [j5]Diego Ortego, Juan C. SanMiguel, José M. Martínez:
Hierarchical Improvement of Foreground Segmentation Masks in Background Subtraction. IEEE Trans. Circuits Syst. Video Technol. 29(6): 1645-1658 (2019) - [c6]Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor:
On guiding video object segmentation. CBMI 2019: 1-6 - [c5]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Unsupervised Label Noise Modeling and Loss Correction. ICML 2019: 312-321 - [i4]Eric Arazo Sanchez, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Unsupervised label noise modeling and loss correction. CoRR abs/1904.11238 (2019) - [i3]Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor:
On guiding video object segmentation. CoRR abs/1904.11256 (2019) - [i2]Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. CoRR abs/1908.02983 (2019) - [i1]Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness:
Towards Robust Learning with Different Label Noise Distributions. CoRR abs/1912.08741 (2019) - 2018
- [j4]Elena Luna, Juan Carlos San Miguel, Diego Ortego, José M. Martínez:
Abandoned Object Detection in Video-Surveillance: Survey and Comparison. Sensors 18(12): 4290 (2018) - [c4]Pengfei Zhu, Longyin Wen, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Haotian Wu, Qinqin Nie, Hao Cheng, Chenfeng Liu, Xiaoyu Liu, Wenya Ma, Lianjie Wang, Arne Schumann, Dan Wang, Diego Ortego, Elena Luna, Emmanouil Michail, Erik Bochinski, Feng Ni, Filiz Bunyak, Gege Zhang, Guna Seetharaman, Guorong Li, Hongyang Yu, Ioannis Kompatsiaris, Jianfei Zhao, Jie Gao, José M. Martínez, Juan C. SanMiguel, Kannappan Palaniappan, Konstantinos Avgerinakis, Lars Wilko Sommer, Martin Lauer, Mengkun Liu, Noor M. Al-Shakarji, Oliver Acatay, Panagiotis Giannakeris, Qijie Zhao, Qinghua Ma, Qingming Huang, Stefanos Vrochidis, Thomas Sikora, Tobias Senst, Wei Song, Wei Tian, Wenhua Zhang, Yanyun Zhao, Yidong Bai, Yinan Wu, Yongtao Wang, Yuxuan Li, Zhaoliang Pi, Zhiming Ma:
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results. ECCV Workshops (5) 2018: 496-518 - 2017
- [j3]Diego Ortego, Juan C. SanMiguel, José M. Martínez:
Stand-alone quality estimation of background subtraction algorithms. Comput. Vis. Image Underst. 162: 87-102 (2017) - 2016
- [j2]Diego Ortego, Juan C. SanMiguel, José M. Martínez:
Rejection based multipath reconstruction for background estimation in video sequences with stationary objects. Comput. Vis. Image Underst. 147: 23-37 (2016) - [c3]Diego Ortego, Juan C. SanMiguel, José M. Martínez:
Rejection based multipath reconstruction for background estimation in SBMnet 2016 dataset. ICPR 2016: 114-119 - 2015
- [j1]Diego Ortego, Juan C. SanMiguel, José M. Martínez:
Long-Term Stationary Object Detection Based on Spatio-Temporal Change Detection. IEEE Signal Process. Lett. 22(12): 2368-2372 (2015) - 2014
- [c2]Diego Ortego, Juan C. SanMiguel:
Multi-feature stationary foreground detection for crowded video-surveillance. ICIP 2014: 2403-2407 - 2013
- [c1]Diego Ortego, Juan C. SanMiguel:
Stationary foreground detection for video-surveillance based on foreground and motion history images. AVSS 2013: 75-80
Coauthor Index
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