5 citations
- Óscar Martínez Mozos2 profiles4 · h 32
- Shoko Miyauchi2 profiles2 · h 5
- A. I. Lichtenstein1 · h 7
- A. Loutfi1 · h 36
- Chujie Chang1 · h 0
- Eduardo Gutiérrez-Maestro1 · h 3
- Enrico Scala1 · h 2
- E. Stepanov1 · h 7
- Francisco M. Calatrava-Nicolás1 · h 3
- Hugo U. R. Strand1 · h 1
- K. Morooka1 · h 13
- L. Morillo-Méndez1 · h 5
6 papers
Nonlocal Correlation Effects in dc and Optical Conductivity of the Hubbard Model
Nagamalleswararao Dasari, Hugo U. R. Strand, Martin Eckstein +2
Conductivity is one of the most direct probes of electronic systems, yet its theoretical description remains challenging in the presence of strong non-local correlations. In this L…
FusionNet: a frame interpolation network for 4D heart models
Chujie Chang, Shoko Miyauchi, Ken'ichi Morooka +2
Cardiac magnetic resonance (CMR) imaging is widely used to visualise cardiac motion and diagnose heart disease. However, standard CMR imaging requires patients to lie still in a co…
Age-Related Differences in the Perception of Eye-Gaze from a Social Robot
Lucas Morillo-Mendez, Martien G. S. Schrooten, Oscar Martinez Mozos
There is an increasing interest in social robots assisting older adults during daily life tasks. In this context, non-verbal cues such as deictic gaze are important in natural comm…
Context-free Self-Conditioned GAN for Trajectory Forecasting
Tiago Rodrigues de Almeida, Eduardo Gutierrez Maestro, Oscar Martinez Mozos
In this paper, we present a context-free unsupervised approach based on a self-conditioned GAN to learn different modes from 2D trajectories. Our intuition is that each mode indica…
Embedded Inter-Subject Variability in Adversarial Learning for Inertial Sensor-Based Human Activity Recognition
Francisco M. Calatrava-Nicolás, Shoko Miyauchi, Vitor Fortes Rey +3
This paper addresses the problem of Human Activity Recognition (HAR) using data from wearable inertial sensors. An important challenge in HAR is the model's generalization capabili…
Two Constraint Compilation Methods for Lifted Planning
Periklis Mantenoglou, Luigi Bonassi, Enrico Scala +1
We study planning in a fragment of PDDL with qualitative state-trajectory constraints, capturing safety requirements, task ordering conditions, and intermediate sub-goals commonly…