Diego Ortego

Orcid: 0000-0002-1011-3610

According to our database1, Diego Ortego authored at least 22 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss.
CoRR, 2024

2023
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias.
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.
CoRR, 2022

Addressing out-of-distribution label noise in webly-labelled data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

2021
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning.
Proceedings of the International Joint Conference on Neural Networks, 2021

Unsupervised Contrastive Learning of Sound Event Representations.
Proceedings of the IEEE International Conference on Acoustics, 2021

Multi-Objective Interpolation Training for Robustness To Label Noise.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

How Important is Importance Sampling for Deep Budgeted Training?
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

Domain Randomization for Object Counting.
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.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Towards Robust Learning with Different Label Noise Distributions.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019
Hierarchical Improvement of Foreground Segmentation Masks in Background Subtraction.
IEEE Trans. Circuits Syst. Video Technol., 2019

Unsupervised Label Noise Modeling and Loss Correction.
Proceedings of the 36th International Conference on Machine Learning, 2019

On guiding video object segmentation.
Proceedings of the 2019 International Conference on Content-Based Multimedia Indexing, 2019

2018
Abandoned Object Detection in Video-Surveillance: Survey and Comparison.
Sensors, 2018


2017
Stand-alone quality estimation of background subtraction algorithms.
Comput. Vis. Image Underst., 2017

2016
Rejection based multipath reconstruction for background estimation in video sequences with stationary objects.
Comput. Vis. Image Underst., 2016

Rejection based multipath reconstruction for background estimation in SBMnet 2016 dataset.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015
Long-Term Stationary Object Detection Based on Spatio-Temporal Change Detection.
IEEE Signal Process. Lett., 2015

2014
Multi-feature stationary foreground detection for crowded video-surveillance.
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.
Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013


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