6 papers · 1 filter
GESTO: Human-Centric Spatio-Temporal Memory for Reasoning in Dynamic Scenes
Ermanno Bartoli, Buwei He, Dennis Rotondi +6
Robots operating in human environments need memories that capture not only what objects exist and where, but also how people use them over time and how individual interactions comp…
KeySG: Hierarchical Keyframe-Based 3D Scene Graphs
Abdelrhman Werby, Dennis Rotondi, Fabio Scaparro +1
In recent years, 3D scene graphs have emerged as a powerful world representation, offering both geometric accuracy and semantic richness. Combining 3D scene graphs with large langu…
FunGraph: Functionality Aware 3D Scene Graphs for Language-Prompted Scene Interaction
Dennis Rotondi, Fabio Scaparro, Hermann Blum +1
The concept of 3D scene graphs is increasingly recognized as a powerful semantic and hierarchical representation of the environment. Current approaches often address this at a coar…
Metric-Scale Truncation-Robust Heatmaps for 3D Human Pose Estimation
István Sárándi, Timm Linder, Kai O. Arras +1
Heatmap representations have formed the basis of 2D human pose estimation systems for many years, but their generalizations for 3D pose have only recently been considered. This inc…
Synthetic Occlusion Augmentation with Volumetric Heatmaps for the 2018 ECCV PoseTrack Challenge on 3D Human Pose Estimation
István Sárándi, Timm Linder, Kai O. Arras +1
In this paper we present our winning entry at the 2018 ECCV PoseTrack Challenge on 3D human pose estimation. Using a fully-convolutional backbone architecture, we obtain volumetric…
How Robust is 3D Human Pose Estimation to Occlusion?
István Sárándi, Timm Linder, Kai O. Arras +1
Occlusion is commonplace in realistic human-robot shared environments, yet its effects are not considered in standard 3D human pose estimation benchmarks. This leaves the question…