activity
20242026
most citedGiving Meaning to Movements: Challenges and Opportunities in Expanding Communication by Pairing Unaided AAC with Speech Generated Messages

1 citations · 1 across the 3 of their papers we have counts for

collaborators

12 papers

cs.CV2026

A Dataset for Crucial Object Recognition in Blind and Low-Vision Individuals' Navigation

Md Touhidul Islam, Imran Kabir, Elena Ariel Pearce +2

This paper introduces a dataset for improving real-time object recognition systems to aid blind and low-vision (BLV) individuals in navigation tasks. The dataset comprises 21 video…

cs.HC2026

VoiceAlign: A Shimming Layer for Enhancing the Usability of Legacy Voice User Interface Systems

Md Ehtesham-Ul-Haque, Syed Masum Billah

Voice user interfaces (VUIs) are rapidly transitioning from accessibility features to mainstream interaction modalities. Yet most operating systems' built-in voice commands remain…

cs.HC20261 cited

Giving Meaning to Movements: Challenges and Opportunities in Expanding Communication by Pairing Unaided AAC with Speech Generated Messages

Imran Kabir, Sharon Ann Redmon, Lynn R Elko +5

Augmentative and Alternative Communication (AAC) technologies are categorized into two forms: aided AAC, which uses external devices like speech-generating systems to produce stand…

cs.HC2025

ToPSen: Task-Oriented Priming and Sensory Alignment for Comparing Coding Strategies Between Sighted and Blind Programmers

Md Ehtesham-Ul-Haque, Syed Masum Billah

This paper examines how the coding strategies of sighted and blind programmers differ when working with audio feedback alone. The goal is to identify challenges in mixed-ability co…

cs.CV2025

IKIWISI: An Interactive Visual Pattern Generator for Evaluating the Reliability of Vision-Language Models Without Ground Truth

Md Touhidul Islam, Imran Kabir, Md Alimoor Reza +1

We present IKIWISI ("I Know It When I See It"), an interactive visual pattern generator for assessing vision-language models in video object recognition when ground truth is unavai…

cs.CV2025

Logic-RAG: Augmenting Large Multimodal Models with Visual-Spatial Knowledge for Road Scene Understanding

Imran Kabir, Md Alimoor Reza, Syed Billah

Large multimodal models (LMMs) are increasingly integrated into autonomous driving systems for user interaction. However, their limitations in fine-grained spatial reasoning pose c…