108 citations · 839 across the 102 of their papers we have counts for
6 papers · 1 filter
Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning
Nethmi S. Hewawiththi, M. Mahesha Viduranga, Vanodhya G. Warnasooriya +4
Unmanned aerial vehicle-assisted disaster recovery missions have been promoted recently due to their reliability and flexibility. Machine learning algorithms running onboard signif…
Revisiting the Role of Texture in 3D Person Re-identification
Huy Nguyen, Kien Nguyen, Akila Pemasiri +2
This study introduces a new framework for 3D person re-identification (re-ID) that leverages readily available high-resolution texture data in 3D reconstruction to improve the perf…
Physics Augmented Tuple Transformer for Autism Severity Level Detection
Chinthaka Ranasingha, Harshala Gammulle, Tharindu Fernando +2
Early diagnosis of Autism Spectrum Disorder (ASD) is an effective and favorable step towards enhancing the health and well-being of children with ASD. Manual ASD diagnosis testing…
Point-PNG: Conditional Pseudo-Negatives Generation for Point Cloud Pre-Training
Sutharsan Mahendren, Saimunur Rahman, Piotr Koniusz +4
We propose Point-PNG, a novel self-supervised learning framework that generates conditional pseudo-negatives in the latent space to learn point cloud representations that are both…
Part-based Quantitative Analysis for Heatmaps
Osman Tursun, Sinan Kalkan, Simon Denman +2
Heatmaps have been instrumental in helping understand deep network decisions, and are a common approach for Explainable AI (XAI). While significant progress has been made in enhanc…
AG-ReID.v2: Bridging Aerial and Ground Views for Person Re-identification
Huy Nguyen, Kien Nguyen, Sridha Sridharan +1
Aerial-ground person re-identification (Re-ID) presents unique challenges in computer vision, stemming from the distinct differences in viewpoints, poses, and resolutions between h…