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Idoia Ruiz
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2020 – today
- 2023
- [b1]Idoia Ruiz:
Deep Metric Learning for re-identification, tracking and hierarchical novelty detection. Autonomous University of Barcelona, Spain, 2023 - 2022
- [j2]Idoia Ruiz, Joan Serrat:
Hierarchical Novelty Detection for Traffic Sign Recognition. Sensors 22(12): 4389 (2022) - 2021
- [c4]Idoia Ruiz, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Joan Serrat:
Weakly Supervised Multi-Object Tracking and Segmentation. WACV (Workshops) 2021: 125-133 - [i5]Idoia Ruiz, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Joan Serrat:
Weakly Supervised Multi-Object Tracking and Segmentation. CoRR abs/2101.00667 (2021) - 2020
- [j1]Idoia Ruiz, Bogdan Raducanu, Rakesh Mehta, Jaume Amores:
Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation. Eng. Appl. Artif. Intell. 87 (2020) - [c3]Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulò, Peter Kontschieder:
Learning Multi-Object Tracking and Segmentation From Automatic Annotations. CVPR 2020: 6845-6854 - [c2]Joan Serrat, Idoia Ruiz:
Rank-based ordinal classification. ICPR 2020: 8069-8076
2010 – 2019
- 2019
- [i4]Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulò, Peter Kontschieder:
Learning Multi-Object Tracking and Segmentation from Automatic Annotations. CoRR abs/1912.02096 (2019) - 2018
- [c1]Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López:
Metric Learning for Novelty and Anomaly Detection. BMVC 2018: 64 - [i3]Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López:
Metric Learning for Novelty and Anomaly Detection. CoRR abs/1808.05492 (2018) - [i2]Idoia Ruiz, Bogdan Raducanu, Rakesh Mehta, Jaume Amores:
Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation. CoRR abs/1812.02937 (2018) - 2014
- [i1]Krzysztof Nienartowicz, Diego Ordóñez Blanco, Leanne Guy, Berry Holl, Isabelle Lecoeur-Taïbi, Nami Mowlavi, Lorenzo Rimoldini, Idoia Ruiz, Maria Süveges, Laurent Eyer:
Time series data mining for the Gaia variability analysis. CoRR abs/1411.5943 (2014)
Coauthor Index
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