activity
20162025
most citedBody Schema Acquisition through Active Learning

46 citations · 145 across the 8 of their papers we have counts for

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Showing cs.CVShow all

12 papers · 1 filter

cs.CV2022★ 14 cited

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…

cs.CV2022

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2020

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…