no code implementations • 16 Nov 2023 • Iñigo Alonso, Eneko Agirre, Mirella Lapata
Table-to-text generation involves generating appropriate textual descriptions given structured tabular data.
1 code implementation • 26 Oct 2023 • Iñigo Alonso, Eneko Agirre
Table-to-text systems generate natural language statements from structured data like tables.
no code implementations • 9 Jun 2023 • Rodrigo Agerri, Iñigo Alonso, Aitziber Atutxa, Ander Berrondo, Ainara Estarrona, Iker Garcia-Ferrero, Iakes Goenaga, Koldo Gojenola, Maite Oronoz, Igor Perez-Tejedor, German Rigau, Anar Yeginbergenova
Providing high quality explanations for AI predictions based on machine learning is a challenging and complex task.
1 code implementation • 3 Mar 2021 • Alberto Sabater, Iñigo Alonso, Luis Montesano, Ana C. Murillo
And, more importantly, when performing hand action recognition for action domains and camera perspectives which our approach has not been trained for (cross-domain action classification), our proposed framework achieves comparable performance to intra-domain state-of-the-art methods.
1 code implementation • 25 Feb 2020 • Iñigo Alonso, Luis Riazuelo, Luis Montesano, Ana C. Murillo
Fast and efficient semantic segmentation methods are needed to match the strong computational and temporal restrictions of many of these real-world applications.
Ranked #1 on Real-Time 3D Semantic Segmentation on SemanticKITTI
no code implementations • 29 Nov 2018 • Iñigo Alonso, Ana C. Murillo
Since there is no existing labeled dataset for this task, we propose how to automatically generate approximated semantic segmentation labels for some sequences of the DDD17 dataset, which we publish together with the model, and demonstrate they are valid to train a model for DVS data only.