6 papers · 1 filter
Moving6DPoSe: A Multimodal Database for Monocular 6D Pose Estimation and Segmentation of Moving Objects
Ignacio Bugueno-Cordova, Javier Ruiz-del-Solar, Rodrigo Verschae
Estimating the 6D pose of moving objects remains challenging due to motion blur and the limited temporal resolution of conventional frame-based cameras. Existing event-based datase…
eBIRD: Event-based Intensity Image Reconstruction Using Controllable Diffusion Models
Ignacio Bugueno-Cordova, Fabian Valderrama, Rodrigo Verschae
Intensity-image reconstruction from event streams remains a challenging problem due to the binary, sparse, and asynchronous nature of event data. This work proposes eBIRD, an event…
Event-based Liveness Detection using Temporal Ocular Dynamics: An Exploratory Approach
Nicolas Mastropasqua, Ignacio Bugueno-Cordova, Rodrigo Verschae +2
Face liveness detection has been extensively studied using RGB cameras, achieving strong performance under controlled conditions but often failing to generalize across sensors and…
Exploring Spatial-Temporal Dynamics in Event-based Facial Micro-Expression Analysis
Nicolas Mastropasqua, Ignacio Bugueno-Cordova, Rodrigo Verschae +3
Micro-expression analysis has applications in domains such as Human-Robot Interaction and Driver Monitoring Systems. Accurately capturing subtle and fast facial movements remains d…
evTransFER: A Transfer Learning Framework for Event-based Facial Expression Recognition
Rodrigo Verschae, Ignacio Bugueno-Cordova
Event-based cameras are bio-inspired sensors that asynchronously capture pixel intensity changes with microsecond latency, high temporal resolution, and high dynamic range, providi…
Human-Robot Navigation using Event-based Cameras and Reinforcement Learning
Ignacio Bugueno-Cordova, Javier Ruiz-del-Solar, Rodrigo Verschae
This work introduces a robot navigation controller that combines event cameras and other sensors with reinforcement learning to enable real-time human-centered navigation and obsta…