most citedDIPSER: A Dataset for In-Person Student Engagement Recognition in the Wild

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cs.CV2026

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…

cs.CV2026

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…

cs.CV20261 cited

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…

cs.CV2025

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…

cs.CV2025

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…

cs.CV2025

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…