activity
20242026
collaborators

5 papers

eess.IV2026

Cost-Efficient Multi-Scale Fovea for Semantic-Based Visual Search Attention

João Luzio, Alexandre Bernardino, Plinio Moreno

Semantics are one of the primary sources of top-down preattentive information. Modern deep object detectors excel at extracting such valuable semantic cues from complex visual scen…

cs.RO2025

3DSGrasp: 3D Shape-Completion for Robotic Grasp

Seyed S. Mohammadi, Nuno F. Duarte, Dimitris Dimou +8

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…

cs.CV2025

Human Scanpath Prediction in Target-Present Visual Search with Semantic-Foveal Bayesian Attention

João Luzio, Alexandre Bernardino, Plinio Moreno

In goal-directed visual tasks, human perception is guided by both top-down and bottom-up cues. At the same time, foveal vision plays a crucial role in directing attention efficient…

cs.RO2025

Measuring Uncertainty in Shape Completion to Improve Grasp Quality

Nuno Ferreira Duarte, Seyed S. Mohammadi, Plinio Moreno +2

Shape completion networks have been used recently in real-world robotic experiments to complete the missing/hidden information in environments where objects are only observed in on…

cs.CV2024

Next Best View For Point-Cloud Model Acquisition: Bayesian Approximation and Uncertainty Analysis

Madalena Caldeira, Plinio Moreno

The Next Best View problem is a computer vision problem widely studied in robotics. To solve it, several methodologies have been proposed over the years. Some, more recently, propo…