3 citations · 3 across the 3 of their papers we have counts for
5 papers
MIRAGE: Retrieval and Generation of Multimodal Images and Texts for Medical Education
Miguel Diaz Benito, Cecilia Diana Albelda, Alvaro Garcia Martin +3
Access to diverse, well-annotated medical images with interactive learning tools is fundamental for training practitioners in medicine and related fields to improve their diagnosti…
GBT-SAM: A Parameter-Efficient Depth-Aware Model for Generalizable Brain tumour Segmentation on mp-MRI
Cecilia Diana-Albelda, Roberto Alcover-Couso, Álvaro García-Martín +2
Gliomas are aggressive brain tumors that require accurate imaging-based diagnosis, with segmentation playing a critical role in evaluating morphology and treatment decisions. Manua…
A Prospective Study on Sequence-Driven Temporal Sampling and Ego-Motion Compensation for Action Recognition in the EPIC-Kitchens Dataset
Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós
Action recognition is currently one of the top-challenging research fields in computer vision. Convolutional Neural Networks (CNNs) have significantly boosted its performance but r…
Semantic-Aware Scene Recognition
Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós +1
Scene recognition is currently one of the top-challenging research fields in computer vision. This may be due to the ambiguity between classes: images of several scene classes may…
Semantic Driven Multi-Camera Pedestrian Detection
Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós +1
In the current worldwide situation, pedestrian detection has reemerged as a pivotal tool for intelligent video-based systems aiming to solve tasks such as pedestrian tracking, soci…