Abstract According to the World Health Organization (WHO), visual impairment is one of the
most common problems affecting approximately one sixth of the world's population. It was …

In recent years, deep learning (DL) models have demonstrated remarkable achievements
on non-trivial tasks such as speech recognition, image processing, and natural language …

Transparent objects, such as glass walls and doors, constitute architectural obstacles
hindering the mobility of people with low vision or blindness. For instance, the open space …

We present FlexPatch, a novel mobile system to enable accurate and real-time object
detection over high-resolution video streams. A widely-used approach for real-time video …

Independently exploring unknown spaces or finding objects in an indoor environment is a
daily but challenging task for visually impaired people. However, common 2D assistive …

Individuals with visual impairments often face challenges in their daily lives, particularly in
terms of independent mobility. To address this issue, we present a mixed reality-based …

This paper presents a system that utilizes vision transformers and multimodal feedback
modules to facilitate navigation and collision avoidance for the visually impaired. By …

In recent days, Yoga is gaining more prominence and people all over the world have started
to practice it. Performing Yoga with proper postures is beneficial. Hence, an instructor is …

We propose a smartphone-based computer vision system for visually impaired people that
uses a neural network to classify objects and estimate image depth to improve spatial …

Object detection is crucial in video analytics pipelines, but there is a need to optimize deep
neural networks (DNNs)-based object detection for resource-constrained Internet of Things …