Diego Ortego

According to our database, Diego Ortego authored at least 21 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias.

Mario Almagro, Emilio J. Almazán, Diego Ortego, David Jiménez

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching.

Mario Almagro, David Jiménez, Diego Ortego, Emilio J. Almazán, Eva Martínez

CoRR, 2022

Addressing out-of-distribution label noise in webly-labelled data.

Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021

ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning.

Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness

Proceedings of the International Joint Conference on Neural Networks, 2021

Unsupervised Contrastive Learning of Sound Event Representations.

Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra

Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Objective Interpolation Training for Robustness To Label Noise.

Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

How Important is Importance Sampling for Deep Budgeted Training?

Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Domain Randomization for Object Counting.

Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor

Proceedings of the 29th Irish Conference on Artificial Intelligence and Cognitive Science 2021, 2021

2020

Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning.

Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Towards Robust Learning with Different Label Noise Distributions.

Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Hierarchical Improvement of Foreground Segmentation Masks in Background Subtraction.

Diego Ortego, Juan C. SanMiguel, José M. Martínez

IEEE Trans. Circuits Syst. Video Technol., 2019

Unsupervised Label Noise Modeling and Loss Correction.

Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness

Proceedings of the 36th International Conference on Machine Learning, 2019

On guiding video object segmentation.

Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor

Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

2018

Abandoned Object Detection in Video-Surveillance: Survey and Comparison.

Elena Luna, Juan Carlos San Miguel, Diego Ortego, José M. Martínez

Sensors, 2018

VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results.

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

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017

Stand-alone quality estimation of background subtraction algorithms.

Diego Ortego, Juan C. SanMiguel, José M. Martínez

Comput. Vis. Image Underst., 2017

2016

Rejection based multipath reconstruction for background estimation in video sequences with stationary objects.

Diego Ortego, Juan C. SanMiguel, José M. Martínez

Comput. Vis. Image Underst., 2016

Rejection based multipath reconstruction for background estimation in SBMnet 2016 dataset.

Diego Ortego, Juan C. SanMiguel, José M. Martínez

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Long-Term Stationary Object Detection Based on Spatio-Temporal Change Detection.

Diego Ortego, Juan C. SanMiguel, José M. Martínez

IEEE Signal Process. Lett., 2015

2014

Multi-feature stationary foreground detection for crowded video-surveillance.

Diego Ortego, Juan C. SanMiguel

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

2013

Stationary foreground detection for video-surveillance based on foreground and motion history images.

Diego Ortego, Juan C. SanMiguel

Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013