23 citations · 67 across the 11 of their papers we have counts for
4 papers · 1 filter
Band-Selection Stability and Semantic Segmentation Performance: A Study on Hyperspectral City
Jiarong Li, Imad Ali Shah, Enda Ward +3
Resource constraints make high-dimensional hyperspectral imaging challenging in autonomous perception, motivating the use of band selection methods. However, the sensitivity of ban…
HSI-Road Relabeled: Surface-Aware Road-Scene Segmentation
Imad Ali Shah, Imran Mehmood, Enda Ward +3
The HSI-Road dataset provides paired RGB and 25-channel NIR (680-960nm) images with binary masks but no surface-level labels. This paper introduces a manually labeled six-class tax…
Learnable Quantum Efficiency Filters for Urban Hyperspectral Segmentation
Imad Ali Shah, Jiarong Li, Ethan Delaney +4
Hyperspectral sensing provides rich spectral information for scene understanding in urban driving, but its high dimensionality poses challenges for interpretation and efficient lea…
Evaluating Vision-Language Models for Image Quality Assessment using Psychophysical Data
Imran Mehmood, Imad Ali Shah, Ming Ronnier Luo +1
Psychophysical experiments remain the most reliable approach for perceptual image quality assessment (IQA), yet their cost and limited scalability motivate automated alternatives.…