2 papers
cs.CV2026
A Fully Interpretable Statistical Approach for Roadside LiDAR Background Subtraction
Aitor Iglesias, Nerea Aranjuelo, Patricia Javierre +3
We present a fully interpretable and flexible statistical method for background subtraction in roadside LiDAR data, aimed at enhancing infrastructure-based perception in automated…
cs.CV2024
Learning Gaze-aware Compositional GAN
Nerea Aranjuelo, Siyu Huang, Ignacio Arganda-Carreras +4
Gaze-annotated facial data is crucial for training deep neural networks (DNNs) for gaze estimation. However, obtaining these data is labor-intensive and requires specialized equipm…