2 citations · 3 across the 16 of their papers we have counts for
4 papers · 1 filter
Introspection in Learned Semantic Scene Graph Localisation
Manshika Charvi Bissessur, Efimia Panagiotaki, Daniele De Martini
This work investigates how semantics influence localisation performance and robustness in a learned self-supervised, contrastive semantic localisation framework. After training a l…
Neural-MMGS: Multi-modal Neural Gaussian Splats for Large-Scale Scene Reconstruction
Sitian Shen, Georgi Pramatarov, Yifu Tao +1
This paper proposes Neural-MMGS, a novel neural 3DGS framework for multimodal large-scale scene reconstruction that fuses multiple sensing modalities in a per-gaussian compact, lea…
Ensemble of Pre-Trained Models for Long-Tailed Trajectory Prediction
Divya Thuremella, Yi Yang, Simon Wanna +2
This work explores the application of ensemble modeling to the multidimensional regression problem of trajectory prediction for vehicles in urban environments. As newer and bigger…
MinkOcc: Towards real-time label-efficient semantic occupancy prediction
Samuel Sze, Daniele De Martini, Lars Kunze
Developing 3D semantic occupancy prediction models often relies on dense 3D annotations for supervised learning, a process that is both labor and resource-intensive, underscoring t…