5 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…
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…
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…
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…
MR.NAVI: Mixed-Reality Navigation Assistant for the Visually Impaired
Nicolas Pfitzer, Yifan Zhou, Marco Poggensee +5
Over 43 million people worldwide live with severe visual impairment, facing significant challenges in navigating unfamiliar environments. We present MR.NAVI, a mixed reality system…