4 citations · 4 across the 4 of their papers we have counts for
6 papers
HiTZ@Antidote: Argumentation-driven Explainable Artificial Intelligence for Digital Medicine
Rodrigo Agerri, Iñigo Alonso, Aitziber Atutxa +9
Providing high quality explanations for AI predictions based on machine learning is a challenging and complex task. To work well it requires, among other factors: selecting a prope…
Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank
Inigo Alonso, Alberto Sabater, David Ferstl +2
This work presents a novel approach for semi-supervised semantic segmentation. The key element of this approach is our contrastive learning module that enforces the segmentation ne…
Domain and View-point Agnostic Hand Action Recognition
Alberto Sabater, Iñigo Alonso, Luis Montesano +1
Hand action recognition is a special case of action recognition with applications in human-robot interaction, virtual reality or life-logging systems. Building action classifiers a…
Domain Adaptation in LiDAR Semantic Segmentation by Aligning Class Distributions
Inigo Alonso, Luis Riazuelo, Luis Montesano +1
LiDAR semantic segmentation provides 3D semantic information about the environment, an essential cue for intelligent systems during their decision making processes. Deep neural net…
3D-MiniNet: Learning a 2D Representation from Point Clouds for Fast and Efficient 3D LIDAR Semantic Segmentation
Iñigo Alonso, Luis Riazuelo, Luis Montesano +1
LIDAR semantic segmentation, which assigns a semantic label to each 3D point measured by the LIDAR, is becoming an essential task for many robotic applications such as autonomous d…
EV-SegNet: Semantic Segmentation for Event-based Cameras
Iñigo Alonso, Ana C. Murillo
Event cameras, or Dynamic Vision Sensor (DVS), are very promising sensors which have shown several advantages over frame based cameras. However, most recent work on real applicatio…