6 papers
Distilling 3D distinctive local descriptors for 6D pose estimation
Amir Hamza, Andrea Caraffa, Davide Boscaini +1
Three-dimensional local descriptors are crucial for encoding geometric surface properties, making them essential for various point cloud understanding tasks. Among these descriptor…
Leveraging Confident Image Regions for Source-Free Domain-Adaptive Object Detection
Mohamed Lamine Mekhalfi, Davide Boscaini, Fabio Poiesi
Source-free domain-adaptive object detection is an interesting but scarcely addressed topic. It aims at adapting a source-pretrained detector to a distinct target domain without re…
Functionality understanding and segmentation in 3D scenes
Jaime Corsetti, Francesco Giuliari, Alice Fasoli +2
Understanding functionalities in 3D scenes involves interpreting natural language descriptions to locate functional interactive objects, such as handles and buttons, in a 3D enviro…
Wild Berry image dataset collected in Finnish forests and peatlands using drones
Luigi Riz, Sergio Povoli, Andrea Caraffa +13
Berry picking has long-standing traditions in Finland, yet it is challenging and can potentially be dangerous. The integration of drones equipped with advanced imaging techniques r…
3D Part Segmentation via Geometric Aggregation of 2D Visual Features
Marco Garosi, Riccardo Tedoldi, Davide Boscaini +3
Supervised 3D part segmentation models are tailored for a fixed set of objects and parts, limiting their transferability to open-set, real-world scenarios. Recent works have explor…
FreeZe: Training-free zero-shot 6D pose estimation with geometric and vision foundation models
Andrea Caraffa, Davide Boscaini, Amir Hamza +1
Estimating the 6D pose of objects unseen during training is highly desirable yet challenging. Zero-shot object 6D pose estimation methods address this challenge by leveraging addit…