most citedHigh-resolution open-vocabulary object 6D pose estimation

1 citations · 1 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2025

Obstruction reasoning for robotic grasping

Runyu Jiao, Matteo Bortolon, Francesco Giuliari +5

Successful robotic grasping in cluttered environments not only requires a model to visually ground a target object but also to reason about obstructions that must be cleared before…

cs.CV2025

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…

cs.CV2025

An analysis of vision-language models for fabric retrieval

Francesco Giuliari, Asif Khan Pattan, Mohamed Lamine Mekhalfi +1

Effective cross-modal retrieval is essential for applications like information retrieval and recommendation systems, particularly in specialized domains such as manufacturing, wher…

cs.RO2025

Free-form language-based robotic reasoning and grasping

Runyu Jiao, Alice Fasoli, Francesco Giuliari +5

Performing robotic grasping from a cluttered bin based on human instructions is a challenging task, as it requires understanding both the nuances of free-form language and the spat…

cs.CV2024

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…

cs.CV2024★ 1 cited

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…