2 citations · 3 across the 7 of their papers we have counts for
8 papers
From Frames to Temporal Graphs: In-Context Egocentric Action Recognition with Vision-Language Models
Bessie Dominguez-Dager, Francisco Gomez-Donoso, Miguel Cazorla +3
Action reasoning in egocentric video requires capturing fine-grained transitions of hand-object interactions, a task where general-purpose Vision-Language Models (VLMs) often strug…
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…
Simulating Students with Large Language Models: A Review of Architecture, Mechanisms, and Role Modelling in Education with Generative AI
Luis Marquez-Carpintero, Alberto Lopez-Sellers, Miguel Cazorla
Simulated Students offer a valuable methodological framework for evaluating pedagogical approaches and modelling diverse learner profiles, tasks which are otherwise challenging to…
AIDEN: Design and Pilot Study of an AI Assistant for the Visually Impaired
Luis Marquez-Carpintero, Francisco Gomez-Donoso, Zuria Bauer +6
This paper presents AIDEN, an artificial intelligence-based assistant designed to enhance the autonomy and daily quality of life of visually impaired individuals, who often struggl…
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…
DIPSER: A Dataset for In-Person Student Engagement Recognition in the Wild
Luis Marquez-Carpintero, Sergio Suescun-Ferrandiz, Carolina Lorenzo Álvarez +4
In this paper, a novel dataset is introduced, designed to assess student attention within in-person classroom settings. This dataset encompasses RGB camera data, featuring multiple…
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…