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ORCIDDaniel Oñoro-Rubio
Person information
- affiliation: NEC Laboratories Europe, Heidelberg, Germany
- affiliation (former): University of Alcalá, Department of Signal Theory and Communications, Alcalá de Henares, Spain
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2020 – today
- 2025
[j4]Makoto Takamoto, Daniel Oñoro-Rubio, Wiem Ben Rim, Takashi Maruyama, Bhushan Kotnis:
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction. Trans. Mach. Learn. Res. 2025 (2025)- [i10]Makoto Takamoto, Daniel Oñoro-Rubio, Wiem Ben Rim, Takashi Maruyama, Bhushan Kotnis:
Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction. CoRR abs/2504.03327 (2025) - 2023
- [i9]Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert
:
Learning Sparsity of Representations with Discrete Latent Variables. CoRR abs/2304.00935 (2023) - 2022
- [c12]Ammar Shaker, Shujian Yu, Daniel Oñoro-Rubio:
Learning to Transfer with von Neumann Conditional Divergence. AAAI 2022: 8231-8239 - [c11]Bhushan Kotnis, Kiril Gashteovski, Daniel Oñoro-Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence:
MILIE: Modular & Iterative Multilingual Open Information Extraction. ACL (1) 2022: 6939-6950 - 2021
- [c10]Alexander Jung, Hugo Lefeuvre, Charalampos Rotsos, Pierre Olivier, Daniel Oñoro-Rubio, Felipe Huici, Mathias Niepert:
Wayfinder: towards automatically deriving optimal OS configurations. APSys 2021: 115-122 - [c9]Zhao Xu, Daniel Oñoro-Rubio, Giuseppe Serra, Mathias Niepert:
Learning Sparsity of Representations with Discrete Latent Variables. IJCNN 2021: 1-9 - [c8]Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone:
A Relational-Learning Perspective To Multi-Label Chest X-Ray Classification. ISBI 2021: 1618-1622 - [i8]Anjany Sekuboyina, Daniel Oñoro-Rubio, Jens Kleesiek, Brandon Malone:
A Relational-learning Perspective to Multi-label Chest X-ray Classification. CoRR abs/2103.06220 (2021) - [i7]Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro-Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert:
Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction. CoRR abs/2110.08144 (2021) - 2020
- [c7]Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li:
TransRev: Modeling Reviews as Translations from Users to Items. ECIR (1) 2020: 234-248
2010 – 2019
- 2019
- [j3]Roberto Javier López-Sastre, Carlos Herranz-Perdiguero, Ricardo Guerrero-Gómez-Olmedo, Daniel Oñoro-Rubio, Saturnino Maldonado-Bascón:
Boosting Multi-Vehicle Tracking with a Joint Object Detection and Viewpoint Estimation Sensor. Sensors 19(19): 4062 (2019) - [c6]Daniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto Gonzalez-Sanchez, Roberto Javier López-Sastre:
Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs. AKBC 2019 - [c5]Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum:
MMKG: Multi-modal Knowledge Graphs. ESWC 2019: 459-474 - [i6]Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum:
MMKG: Multi-Modal Knowledge Graphs. CoRR abs/1903.05485 (2019) - 2018
- [j2]Daniel Oñoro-Rubio, Roberto Javier López-Sastre, Carolina Redondo-Cabrera, Pedro Gil-Jiménez:
The challenge of simultaneous object detection and pose estimation: A comparative study. Image Vis. Comput. 79: 109-122 (2018) - [c4]Daniel Oñoro-Rubio, Roberto Javier López-Sastre, Mathias Niepert:
Learning Short-Cut Connections for Object Counting. BMVC 2018: 262 - [i5]Daniel Oñoro-Rubio, Roberto Javier López-Sastre, Carolina Redondo-Cabrera, Pedro Gil-Jiménez:
The challenge of simultaneous object detection and pose estimation: a comparative study. CoRR abs/1801.08110 (2018) - [i4]Alberto García-Durán, Roberto Gonzalez, Daniel Oñoro-Rubio, Mathias Niepert, Hui Li:
TransRev: Modeling Reviews as Translations from Users to Items. CoRR abs/1801.10095 (2018) - [i3]Daniel Oñoro-Rubio, Mathias Niepert, Roberto Javier López-Sastre:
Learning Short-Cut Connections for Object Counting. CoRR abs/1805.02919 (2018) - [i2]Daniel Oñoro-Rubio, Mathias Niepert:
Contextual Hourglass Networks for Segmentation and Density Estimation. CoRR abs/1806.04009 (2018) - 2017
- [i1]Daniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto Gonzalez, Roberto Javier López-Sastre:
Representation Learning for Visual-Relational Knowledge Graphs. CoRR abs/1709.02314 (2017) - 2016
- [c3]Daniel Oñoro-Rubio, Roberto Javier López-Sastre:
Towards Perspective-Free Object Counting with Deep Learning. ECCV (7) 2016: 615-629 - 2015
- [c2]Ricardo Guerrero-Gómez-Olmedo, Beatriz Torre-Jiménez, Roberto Javier López-Sastre, Saturnino Maldonado-Bascón, Daniel Oñoro-Rubio:
Extremely Overlapping Vehicle Counting. IbPRIA 2015: 423-431 - 2013
- [c1]Daniel Oñoro-Rubio, Artem Lenskiy, Jee-Hwan Ryu:
Connected Components for a Fast and Robust 2D Lidar Data Segmentation. Asia International Conference on Modelling and Simulation 2013: 160-165 - 2012
- [j1]Roberto Javier López-Sastre, Daniel Oñoro-Rubio, Pedro Gil-Jiménez, Saturnino Maldonado-Bascón:
Fast reciprocal nearest neighbors clustering. Signal Process. 92(1): 270-275 (2012)
Coauthor Index
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