Diego Ortego
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
16
Venues
14
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
16 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Large Language Models Meet Extreme Multi-label Classification: Scaling and Multi-modal Framework. | Diego Ortego, Marlon Rodrguez, Mario Almagro, Kunal Dahiya, David Jimnez, Juan C. SanMiguel |
| 2025 | NAACL | Prototypical Extreme Multi-label Classification with a Dynamic Margin Loss. | Kunal Dahiya, Diego Ortego, David Jimenez-Cabello |
| 2023 | KDD | LEA: Improving Sentence Similarity Robustness to Typos Using Lexical Attention Bias. | Mario Almagro, Emilio J. Almazn, Diego Ortego, David Jimnez |
| 2022 | WACV | Addressing out-of-distribution label noise in webly-labelled data. | Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness |
| 2021 | BMVC | How Important is Importance Sampling for Deep Budgeted Training? | Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2021 | CVPR | Multi-Objective Interpolation Training for Robustness To Label Noise. | Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2021 | ICASSP | Unsupervised Contrastive Learning of Sound Event Representations. | Eduardo Fonseca, Diego Ortego, Kevin McGuinness, Noel E. O'Connor, Xavier Serra |
| 2021 | IJCNN | ReLaB: Reliable Label Bootstrapping for Semi-Supervised Learning. | Paul Albert, Diego Ortego, Eric Arazo, Noel E. O'Connor, Kevin McGuinness |
| 2020 | ICPR | Towards Robust Learning with Different Label Noise Distributions. | Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2020 | IJCNN | Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning. | Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2019 | CBMI | On guiding video object segmentation. | Diego Ortego, Kevin McGuinness, Juan C. SanMiguel, Eric Arazo, Jos M. Martnez, Noel E. O'Connor |
| 2019 | ICML | Unsupervised Label Noise Modeling and Loss Correction. | Eric Arazo, Diego Ortego, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2018 | ECCV | 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, Jos M. Martnez, 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 |
| 2016 | ICPR | Rejection based multipath reconstruction for background estimation in SBMnet 2016 dataset. | Diego Ortego, Juan C. SanMiguel, Jos M. Martnez |
| 2014 | ICIP | Multi-feature stationary foreground detection for crowded video-surveillance. | Diego Ortego, Juan C. SanMiguel |
| 2013 | AVSS | Stationary foreground detection for video-surveillance based on foreground and motion history images. | Diego Ortego, Juan C. SanMiguel |