Fast reciprocal nearest neighbors clustering. - Roberto Javier López-Sastre; Daniel Oñoro-Rubio; Pedro Gil-Jiménez; Saturnino Maldonado-Bascón (Signal Process., 2012)

Connected Components for a Fast and Robust 2D Lidar Data Segmentation. - Daniel Oñoro-Rubio; Artem Lenskiy; Jee-Hwan Ryu (Asia International Conference on Modelling and Simulation, 2013)

Extremely Overlapping Vehicle Counting. - Ricardo Guerrero-Gómez-Olmedo; Beatriz Torre-Jiménez; Roberto Javier López-Sastre; Saturnino Maldonado-Bascón; Daniel Oñoro-Rubio (IbPRIA, 2015)

Towards Perspective-Free Object Counting with Deep Learning. - Daniel Oñoro-Rubio; Roberto Javier López-Sastre (ECCV (7), 2016)

Representation Learning for Visual-Relational Knowledge Graphs. - Daniel Oñoro-Rubio; Mathias Niepert; Alberto García-Durán; Roberto Gonzalez; Roberto Javier López-Sastre (CoRR, 2017)

Learning Short-Cut Connections for Object Counting. - Daniel Oñoro-Rubio; Roberto Javier López-Sastre; Mathias Niepert (BMVC, 2018)

Contextual Hourglass Networks for Segmentation and Density Estimation. - Daniel Oñoro-Rubio; Mathias Niepert (CoRR, 2018)

The challenge of simultaneous object detection and pose estimation: A comparative study. - Daniel Oñoro-Rubio; Roberto Javier López-Sastre; Carolina Redondo-Cabrera; Pedro Gil-Jiménez (Image Vis. Comput., 2018)

Answering Visual-Relational Queries in Web-Extracted Knowledge Graphs. - Daniel Oñoro-Rubio; Mathias Niepert; Alberto García-Durán; Roberto Gonzalez-Sanchez; Roberto Javier López-Sastre (AKBC, 2019)

MMKG: Multi-modal Knowledge Graphs. - Ye Liu 002; Hui Li 057; Alberto García-Durán; Mathias Niepert; Daniel Oñoro-Rubio; David S. Rosenblum (ESWC, 2019)

Boosting Multi-Vehicle Tracking with a Joint Object Detection and Viewpoint Estimation Sensor. - Roberto Javier López-Sastre; Carlos Herranz-Perdiguero; Ricardo Guerrero-Gómez-Olmedo; Daniel Oñoro-Rubio; Saturnino Maldonado-Bascón (Sensors, 2019)

TransRev: Modeling Reviews as Translations from Users to Items. - Alberto García-Durán; Roberto Gonzalez; Daniel Oñoro-Rubio; Mathias Niepert; Hui Li 057 (ECIR (1), 2020)

Wayfinder: towards automatically deriving optimal OS configurations. - Alexander Jung; Hugo Lefeuvre; Charalampos Rotsos; Pierre Olivier; Daniel Oñoro-Rubio; Felipe Huici; Mathias Niepert (APSys, 2021)

Learning Sparsity of Representations with Discrete Latent Variables. - Zhao Xu 001; Daniel Oñoro-Rubio; Giuseppe Serra 002; Mathias Niepert (IJCNN, 2021)

A Relational-Learning Perspective To Multi-Label Chest X-Ray Classification. - Anjany Sekuboyina; Daniel Oñoro-Rubio; Jens Kleesiek; Brandon Malone (ISBI, 2021)

Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction. - Bhushan Kotnis; Kiril Gashteovski; Carolin Lawrence; Daniel Oñoro-Rubio; Vanesa Rodriguez-Tembras; Makoto Takamoto; Mathias Niepert (CoRR, 2021)

Learning to Transfer with von Neumann Conditional Divergence. - Ammar Shaker; Shujian Yu; Daniel Oñoro-Rubio (AAAI, 2022)

MILIE: Modular & Iterative Multilingual Open Information Extraction. - Bhushan Kotnis; Kiril Gashteovski; Daniel Oñoro-Rubio; Ammar Shaker; Vanesa Rodriguez-Tembras; Makoto Takamoto; Mathias Niepert; Carolin Lawrence (ACL (1), 2022)

Optimal Embedding Guided Negative Sample Generation for Knowledge Graph Link Prediction. - Makoto Takamoto; Daniel Oñoro-Rubio; Wiem Ben Rim; Takashi Maruyama; Bhushan Kotnis (Trans. Mach. Learn. Res., 2025)