Idoia Ruiz - RankMe

12 papers A* 1A 1B 1Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	—	`—`	Deep Metric Learning for re-identification, tracking and hierarchical novelty detection Idoia Ruiz
2022	J	`jnl`	Hierarchical Novelty Detection for Traffic Sign Recognition. Sensors Idoia Ruiz, Joan Serrat
2021	—	`conf`	Weakly Supervised Multi-Object Tracking and Segmentation. WACV (Workshops) Idoia Ruiz, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Joan Serrat
2021	J	`jnl`	Weakly Supervised Multi-Object Tracking and Segmentation. CoRR Idoia Ruiz, Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder, Joan Serrat
2020	A*	`conf`	Learning Multi-Object Tracking and Segmentation From Automatic Annotations. CVPR Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulò, Peter Kontschieder
2020	J	`jnl`	Optimizing speed/accuracy trade-off for person re-identification via knowledge distillation. Eng. Appl. Artif. Intell. Idoia Ruiz, Bogdan Raducanu, Rakesh Mehta, Jaume Amores
2020	B	`conf`	Rank-based ordinal classification. ICPR Joan Serrat, Idoia Ruiz
2019	J	`jnl`	Learning Multi-Object Tracking and Segmentation from Automatic Annotations. CoRR Lorenzo Porzi, Markus Hofinger, Idoia Ruiz, Joan Serrat, Samuel Rota Bulò, Peter Kontschieder
2018	A	`conf`	Metric Learning for Novelty and Anomaly Detection. BMVC Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López
2018	J	`jnl`	Metric Learning for Novelty and Anomaly Detection. CoRR Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López
2018	J	`jnl`	Optimizing Speed/Accuracy Trade-Off for Person Re-identification via Knowledge Distillation. CoRR Idoia Ruiz, Bogdan Raducanu, Rakesh Mehta, Jaume Amores
2014	J	`jnl`	Time series data mining for the Gaia variability analysis. CoRR Krzysztof Nienartowicz, Diego Ordóñez Blanco, Leanne Guy, Berry Holl, Isabelle Lecoeur-Taïbi, Nami Mowlavi, Lorenzo Rimoldini, Idoia Ruiz, Maria Süveges, Laurent Eyer