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19932026
most citedCharacterising the Anisotropic Mechanical Properties of Excised Human Skin

764 citations

Showing 2025 · cs.CVShow all

6 papers · 2 filters

cs.CV2025★ 3 cited

A Lightweight 3D-CNN for Event-Based Human Action Recognition with Privacy-Preserving Potential

Mehdi Sefidgar Dilmaghani, Francis Fowley, Peter Corcoran

This paper presents a lightweight three-dimensional convolutional neural network (3DCNN) for human activity recognition (HAR) using event-based vision data. Privacy preservation is…

cs.CV2025★ 4 cited

Hyperspectral Sensors and Autonomous Driving: Technologies, Limitations, and Opportunities

Imad Ali Shah, Jiarong Li, Roshan George +5

Hyperspectral imaging (HSI) offers a transformative sensing modality for Advanced Driver Assistance Systems (ADAS) and autonomous driving (AD) applications, enabling material-level…

cs.CV2025★ 1 cited

Hyperspectral vs. RGB for Pedestrian Segmentation in Urban Driving Scenes: A Comparative Study

Jiarong Li, Imad Ali Shah, Enda Ward +3

Pedestrian segmentation in automotive perception systems faces critical safety challenges due to metamerism in RGB imaging, where pedestrians and backgrounds appear visually indist…

cs.CV2025★ 1 cited

CSNR and JMIM Based Spectral Band Selection for Reducing Metamerism in Urban Driving

Jiarong Li, Imad Ali Shah, Diarmaid Geever +5

Protecting Vulnerable Road Users (VRU) is a critical safety challenge for automotive perception systems, particularly under visual ambiguity caused by metamerism, a phenomenon wher…

cs.CV2025

YOLOatr : Deep Learning Based Automatic Target Detection and Localization in Thermal Infrared Imagery

Aon Safdar, Usman Akram, Waseem Anwar +2

Automatic Target Detection (ATD) and Recognition (ATR) from Thermal Infrared (TI) imagery in the defense and surveillance domain is a challenging computer vision (CV) task in compa…

cs.CV2025

Sampling Matters in Explanations: Towards Trustworthy Attribution Analysis Building Block in Visual Models through Maximizing Explanation Certainty

Róisín Luo, James McDermott, Colm O'Riordan

Image attribution analysis seeks to highlight the feature representations learned by visual models such that the highlighted feature maps can reflect the pixel-wise importance of i…