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Rolandos Alexandros Potamias

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Preprint Oct 2026

DenseHap: Dense Hand Haptic Estimation from Monocular Images

As dexterous robotic manipulation advances, scalable annotations of human hand-object interactions are becoming increasingly important. Furthermore, previous hand contact estimation methods suffered from issues such as dorsal-side misclassifications and insufficient precision, while lacking a unified framework for inte...

Jun Xue, Rolandos Alexandros Potamias · 0 citations
Preprint Oct 2026

Spa-Bench: A Real-Robot Benchmark for Spatial Grounding in Vision-Language-Action Models

Vision-language-action models (VLAs) offer a promising route toward general-purpose robotics by transferring semantic knowledge from large-scale vision-language pretraining into language-conditioned control. However, most VLA evaluations emphasize aggregate manipulation success under changes in objects, instructions, o...

Justin Tien-Smith, Matthew Pidden, Rolandos Alexandros Potamias · 0 citations
2025

Deep Gaussian from Motion: Exploring 3D Geometric Foundation Models for Gaussian Splatting

Neural radiance fields (NeRF) and 3D Gaussian Splatting (3DGS) are popular techniques to reconstruct and render photorealistic images. However, the prerequisite of running Structure-from-Motion (SfM) to get camera poses limits their completeness. Although previous methods can reconstruct a few unposed images, they are...

Yu Chen, Rolandos Alexandros Potamias, Evangelos Ververas et al. · 0 citations

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