Zobrazeno 1 - 10
of 1 126
pro vyhledávání: '"Bue, P."'
Publikováno v:
ECCV 2024
Unsupervised 3D keypoints estimation from Point Cloud Data (PCD) is a complex task, even more challenging when an object shape is deforming. As keypoints should be semantically and geometrically consistent across all the 3D frames - each keypoint sho
Externí odkaz:
http://arxiv.org/abs/2408.02291
We propose 6DGS to estimate the camera pose of a target RGB image given a 3D Gaussian Splatting (3DGS) model representing the scene. 6DGS avoids the iterative process typical of analysis-by-synthesis methods (e.g. iNeRF) that also require an initiali
Externí odkaz:
http://arxiv.org/abs/2407.15484
Autor:
Carter, Anna R. L., Montague, Kyle, Talhouk, Reem, Lawson, Shaun, Nicolau, Hugo, Pires, Ana Cristina, Rohde, Markus, Del Bue, Alessio, Knearem, Tiffany
The DCitizens SIG aims to navigate ethical dimensions in forthcoming Digital Civics projects, ensuring enduring benefits and community resilience. Additionally, it seeks to shape the future landscape of digital civics for ethical and sustainable inte
Externí odkaz:
http://arxiv.org/abs/2407.05003
Autor:
Cardenas-Perez, Carlos, Romualdi, Giulio, Elobaid, Mohamed, Dafarra, Stefano, L'Erario, Giuseppe, Traversaro, Silvio, Morerio, Pietro, Del Bue, Alessio, Pucci, Daniele
This paper presents XBG (eXteroceptive Behaviour Generation), a multimodal end-to-end Imitation Learning (IL) system for a whole-body autonomous humanoid robot used in real-world Human-Robot Interaction (HRI) scenarios. The main contribution of this
Externí odkaz:
http://arxiv.org/abs/2406.15833
Autor:
Taioli, Francesco, Rosa, Stefano, Castellini, Alberto, Natale, Lorenzo, Del Bue, Alessio, Farinelli, Alessandro, Cristani, Marco, Wang, Yiming
In the Vision-and-Language Navigation in Continuous Environments (VLN-CE) task, the human user guides an autonomous agent to reach a target goal via a series of low-level actions following a textual instruction in natural language. However, most exis
Externí odkaz:
http://arxiv.org/abs/2406.05080
We introduce Contrastive Gaussian Clustering, a novel approach capable of provide segmentation masks from any viewpoint and of enabling 3D segmentation of the scene. Recent works in novel-view synthesis have shown how to model the appearance of a sce
Externí odkaz:
http://arxiv.org/abs/2404.12784
Autor:
Litrico, Mattia, Talon, Davide, Battiato, Sebastiano, Del Bue, Alessio, Giuffrida, Mario Valerio, Morerio, Pietro
Standard Unsupervised Domain Adaptation (UDA) aims to transfer knowledge from a labeled source domain to an unlabeled target but usually requires simultaneous access to both source and target data. Moreover, UDA approaches commonly assume that source
Externí odkaz:
http://arxiv.org/abs/2404.10574
We present HAHA - a novel approach for animatable human avatar generation from monocular input videos. The proposed method relies on learning the trade-off between the use of Gaussian splatting and a textured mesh for efficient and high fidelity rend
Externí odkaz:
http://arxiv.org/abs/2404.01053
We introduce IFFNeRF to estimate the six degrees-of-freedom (6DoF) camera pose of a given image, building on the Neural Radiance Fields (NeRF) formulation. IFFNeRF is specifically designed to operate in real-time and eliminates the need for an initia
Externí odkaz:
http://arxiv.org/abs/2403.12682
Autor:
Taioli, Francesco, Rosa, Stefano, Castellini, Alberto, Natale, Lorenzo, Del Bue, Alessio, Farinelli, Alessandro, Cristani, Marco, Wang, Yiming
Vision-and-Language Navigation in Continuous Environments (VLN-CE) is one of the most intuitive yet challenging embodied AI tasks. Agents are tasked to navigate towards a target goal by executing a set of low-level actions, following a series of natu
Externí odkaz:
http://arxiv.org/abs/2403.10700