Diego Ortego

38 papers A* 4A 2B 6C 1Misc 1Journal 21Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework.
AAAI
Diego Ortego, Marlon Rodríguez, Mario Almagro, Kunal Dahiya, David Jiménez, Juan C. SanMiguel
2025 J jnl
Fine-grained auxiliary learning for real-world product recommendation.
CoRR
Mario Almagro, Diego Ortego, David Jiménez
2025 J jnl
Fine-grained auxiliary learning for real-world product recommendation.
Proces. del Leng. Natural
Mario Almagro, Diego Ortego, David Jiménez
2025 J jnl
Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework.
CoRR
Diego Ortego, Marlon Rodríguez, Mario Almagro, Kunal Dahiya, David Jiménez, Juan C. SanMiguel
2025 — conf
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss.
NAACL (Long Papers)
Kunal Dahiya, Diego Ortego, David Jimenez-Cabello
2024 J jnl
Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss.
CoRR
Kunal Dahiya, Diego Ortego, David Jiménez
2023 A* conf
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias.
KDD
Mario Almagro, Emilio J. Almazán, Diego Ortego, David Jiménez
2023 J jnl
LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias.
CoRR
Mario Almagro, Emilio J. Almazán, Diego Ortego, David Jiménez
2022 A conf
Addressing out-of-distribution label noise in webly-labelled data.
WACV
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2022 J jnl
Block-SCL: Blocking Matters for Supervised Contrastive Learning in Product Matching.
CoRR
Mario Almagro, David Jiménez, Diego Ortego, Emilio J. Almazán, Eva Martínez
2022 J jnl
Domain Randomization for Object Counting.
CoRR
Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor
2021 J jnl
Addressing out-of-distribution label noise in webly-labelled data.
CoRR
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2021 — conf
Domain Randomization for Object Counting.
AICS
Enric Moreu, Kevin McGuinness, Diego Ortego, Noel E. O'Connor
2021 A conf
How Important is Importance Sampling for Deep Budgeted Training?
BMVC
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2021 J jnl
How Important is Importance Sampling for Deep Budgeted Training?
CoRR
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2021 A* conf
Multi-Objective Interpolation Training for Robustness To Label Noise.
CVPR
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2021 B conf
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning.
IJCNN
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2021 Misc conf
Unsupervised Contrastive Learning of Sound Event Representations.
ICASSP
Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra
2020 J jnl
Multi-Objective Interpolation Training for Robustness to Label Noise.
CoRR
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2020 B conf
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning.
IJCNN
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2020 J jnl
ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning.
CoRR
Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness
2020 B conf
Towards Robust Learning with Different Label Noise Distributions.
ICPR
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2020 J jnl
Unsupervised Contrastive Learning of Sound Event Representations.
CoRR
Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra
2019 J jnl
Hierarchical Improvement of Foreground Segmentation Masks in Background Subtraction.
IEEE Trans. Circuits Syst. Video Technol.
Diego Ortego, Juan C. SanMiguel, José M. Martínez
2019 C conf
On guiding video object segmentation.
CBMI
Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor
2019 J jnl
On guiding video object segmentation.
CoRR
Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, José M. Martínez, Noel E. O'Connor
2019 J jnl
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning.
CoRR
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2019 J jnl
Towards Robust Learning with Different Label Noise Distributions.
CoRR
Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2019 A* conf
Unsupervised Label Noise Modeling and Loss Correction.
ICML
Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2019 J jnl
Unsupervised label noise modeling and loss correction.
CoRR
Eric Arazo Sanchez, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness
2018 J jnl
Abandoned Object Detection in Video-Surveillance: Survey and Comparison.
Sensors
Elena Luna, Juan Carlos San Miguel, Diego Ortego, José M. Martínez
2018 — conf
VisDrone-VDT2018: The Vision Meets Drone Video Detection and Tracking Challenge Results.
ECCV Workshops (5)
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
2017 J jnl
Stand-alone quality estimation of background subtraction algorithms.
Comput. Vis. Image Underst.
Diego Ortego, Juan C. SanMiguel, José M. Martínez
2016 B conf
Rejection based multipath reconstruction for background estimation in SBMnet 2016 dataset.
ICPR
Diego Ortego, Juan C. SanMiguel, José M. Martínez
2016 J jnl
Rejection based multipath reconstruction for background estimation in video sequences with stationary objects.
Comput. Vis. Image Underst.
Diego Ortego, Juan C. SanMiguel, José M. Martínez
2015 J jnl
Long-Term Stationary Object Detection Based on Spatio-Temporal Change Detection.
IEEE Signal Process. Lett.
Diego Ortego, Juan C. SanMiguel, José M. Martínez
2014 B conf
Multi-feature stationary foreground detection for crowded video-surveillance.
ICIP
Diego Ortego, Juan C. SanMiguel
2013 B conf
Stationary foreground detection for video-surveillance based on foreground and motion history images.
AVSS
Diego Ortego, Juan C. SanMiguel