4 papers
VLN-Pilot: Large Vision-Language Model as an Autonomous Indoor Drone Operator
Bessie Dominguez-Dager, Sergio Suescun-Ferrandiz, Felix Escalona +2
This paper introduces VLN-Pilot, a novel framework in which a large Vision-and-Language Model (VLLM) assumes the role of a human pilot for indoor drone navigation. By leveraging th…
UKDM: Underwater keypoint detection and matching using underwater image enhancement techniques
Pedro Diaz-Garcia, Felix Escalona, Miguel Cazorla
The purpose of this paper is to explore the use of underwater image enhancement techniques to improve keypoint detection and matching. By applying advanced deep learning models, in…
CADDI: An in-Class Activity Detection Dataset using IMU data from low-cost sensors
Luis Marquez-Carpintero, Sergio Suescun-Ferrandiz, Monica Pina-Navarro +2
The monitoring and prediction of in-class student activities is of paramount importance for the comprehension of engagement and the enhancement of pedagogical efficacy. The accurat…
CHIRLA: Comprehensive High-resolution Identification and Re-identification for Large-scale Analysis
Bessie Dominguez-Dager, Felix Escalona, Francisco Gomez-Donoso +1
Person re-identification (Re-ID) is a key challenge in computer vision, requiring the matching of individuals across cameras, locations, and time. While most research focuses on sh…