1 citations · 2 across the 8 of their papers we have counts for
8 papers
Exploring the Use of VLMs for Navigation Assistance for People with Blindness and Low Vision
Yu Li, Yuchen Zheng, Giles Hamilton-Fletcher +6
This paper investigates the potential of vision-language models (VLMs) to assist people with blindness and low vision (pBLV) in navigation tasks. We evaluate state-of-the-art close…
Traffic Adaptive Moving-window Service Patrolling for Real-time Incident Management during High-impact Events
Haozhe Lei, Ya-Ting Yang, Tao Li +4
This paper presents the Traffic Adaptive Moving-window Patrolling Algorithm (TAMPA), designed to improve real-time incident management during major events like sports tournaments a…
Spatially Consistent Air-to-Ground Channel Modeling via Generative Neural Networks
Amedeo Giuliani, Rasoul Nikbakht, Giovanni Geraci +3
This article proposes a generative neural network architecture for spatially consistent air-to-ground channel modeling. The approach considers the trajectories of uncrewed aerial v…
Estimation of embedding vectors in high dimensions
Golara Ahmadi Azar, Melika Emami, Alyson Fletcher +1
Embeddings are a basic initial feature extraction step in many machine learning models, particularly in natural language processing. An embedding attempts to map data tokens to a l…
5G Edge Vision: Wearable Assistive Technology for People with Blindness and Low Vision
Tommy Azzino, Marco Mezzavilla, Sundeep Rangan +2
In an increasingly visual world, people with blindness and low vision (pBLV) face substantial challenges in navigating their surroundings and interpreting visual information. From…
A Multi-Modal Foundation Model to Assist People with Blindness and Low Vision in Environmental Interaction
Yu Hao, Fan Yang, Hao Huang +5
People with blindness and low vision (pBLV) encounter substantial challenges when it comes to comprehensive scene recognition and precise object identification in unfamiliar enviro…
A Deep Learning Sequential Decoder for Transient High-Density Electromyography in Hand Gesture Recognition Using Subject-Embedded Transfer Learning
Golara Ahmadi Azar, Qin Hu, Melika Emami +3
Hand gesture recognition (HGR) has gained significant attention due to the increasing use of AI-powered human-computer interfaces that can interpret the deep spatiotemporal dynamic…
ViT-MDHGR: Cross-day Reliability and Agility in Dynamic Hand Gesture Prediction via HD-sEMG Signal Decoding
Qin Hu, Golara Ahmadi Azar, Alyson Fletcher +2
Surface electromyography (sEMG) and high-density sEMG (HD-sEMG) biosignals have been extensively investigated for myoelectric control of prosthetic devices, neurorobotics, and more…