activity
20182023
most citedEndoMapper dataset of complete calibrated endoscopy procedures

73 citations · 104 across the 10 of their papers we have counts for

collaborators

15 papers

cs.RO2023

A Framework for Fast Prototyping of Photo-realistic Environments with Multiple Pedestrians

Sara Casao, Andrés Otero, Álvaro Serra-Gómez +3

Robotic applications involving people often require advanced perception systems to better understand complex real-world scenarios. To address this challenge, photo-realistic and ph…

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…

eess.IV2022★ 73 cited

EndoMapper dataset of complete calibrated endoscopy procedures

Pablo Azagra, Carlos Sostres, Ángel Ferrandez +15

Computer-assisted systems are becoming broadly used in medicine. In endoscopy, most research focuses on the automatic detection of polyps or other pathologies, but localization and…

eess.IV2022★ 15 cited

SuperPoint features in endoscopy

O. L. Barbed, F. Chadebecq, J. Morlana +2

There is often a significant gap between research results and applicability in routine medical practice. This work studies the performance of well-known local features on a medical…

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…