14 citations · 16 across the 6 of their papers we have counts for
9 papers
EventSleep: Sleep Activity Recognition with Event Cameras
Carlos Plou, Nerea Gallego, Alberto Sabater +5
Event cameras are a promising technology for activity recognition in dark environments due to their unique properties. However, real event camera datasets under low-lighting condit…
SpectralWaste Dataset: Multimodal Data for Waste Sorting Automation
Sara Casao, Fernando Peña, Alberto Sabater +4
The increase in non-biodegradable waste is a worldwide concern. Recycling facilities play a crucial role, but their automation is hindered by the complex characteristics of waste r…
Event Transformer+. A multi-purpose solution for efficient event data processing
Alberto Sabater, Luis Montesano, Ana C. Murillo
Event cameras record sparse illumination changes with high temporal resolution and high dynamic range. Thanks to their sparse recording and low consumption, they are increasingly u…
Event Transformer. A sparse-aware solution for efficient event data processing
Alberto Sabater, Luis Montesano, Ana C. Murillo
Event cameras are sensors of great interest for many applications that run in low-resource and challenging environments. They log sparse illumination changes with high temporal res…
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…
One-shot action recognition in challenging therapy scenarios
Alberto Sabater, Laura Santos, Jose Santos-Victor +3
One-shot action recognition aims to recognize new action categories from a single reference example, typically referred to as the anchor example. This work presents a novel approac…
Robust and efficient post-processing for video object detection
Alberto Sabater, Luis Montesano, Ana C. Murillo
Object recognition in video is an important task for plenty of applications, including autonomous driving perception, surveillance tasks, wearable devices or IoT networks. Object r…
Performance of object recognition in wearable videos
Alberto Sabater, Luis Montesano, Ana C. Murillo
Wearable technologies are enabling plenty of new applications of computer vision, from life logging to health assistance. Many of them are required to recognize the elements of int…