1 citations · 2 across the 5 of their papers we have counts for
5 papers
Action-guided generation of 3D functionality segmentation data
Jaime Corsetti, Francesco Giuliari, Davide Boscaini +6
3D functionality segmentation aims to identify the interactive element in a 3D scene required to perform an action described in free-form language (e.g., the handle to ``Open the s…
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…
High-resolution open-vocabulary object 6D pose estimation
Jaime Corsetti, Davide Boscaini, Francesco Giuliari +3
The generalisation to unseen objects in the 6D pose estimation task is very challenging. While Vision-Language Models (VLMs) enable using natural language descriptions to support 6…
Open-vocabulary object 6D pose estimation
Jaime Corsetti, Davide Boscaini, Changjae Oh +2
We introduce the new setting of open-vocabulary object 6D pose estimation, in which a textual prompt is used to specify the object of interest. In contrast to existing approaches,…
Revisiting Fully Convolutional Geometric Features for Object 6D Pose Estimation
Jaime Corsetti, Davide Boscaini, Fabio Poiesi
Recent works on 6D object pose estimation focus on learning keypoint correspondences between images and object models, and then determine the object pose through RANSAC-based algor…