Matteo Taiana — accepted AI-conference papers

2023

3DSGrasp: 3D Shape-Completion for Robotic Grasp

Seyed S. Mohammadi, Nuno F. Duarte, Dimitrios Dimou, Yiming Wang, Matteo Taiana, Pietro Morerio +5

ICRA 2023poster

Real-world robotic grasping can be done robustly if a complete 3D Point Cloud Data (PCD) of an object is available. However, in practice, PCDs are often incomplete when objects are viewed from few and sparse viewpoints before the grasping action, leading to the generation of wrong or inaccurate gras…

Cited by 26 Source ↗code ↗Scholar ↗

2022

PoserNet: Refining Relative Camera Poses Exploiting Object Detections

Matteo Taiana, Matteo Toso, Stuart James, Alessio Del Bue

ECCV 2022poster

"The estimation of the camera poses associated with a set of images commonly relies on feature matches between the images. In contrast, we are the first to address this challenge by using objectness regions to guide the pose estimation problem rather than explicit semantic object detections. We prop…

Cited by 6 Source ↗PDF ↗code ↗Scholar ↗