41 citations · 70 across the 11 of their papers we have counts for
11 papers
Removing supervision in semantic segmentation with local-global matching and area balancing
Simone Rossetti, Nico Samà, Fiora Pirri
Removing supervision in semantic segmentation is still tricky. Current approaches can deal with common categorical patterns yet resort to multi-stage architectures. We design a nov…
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation
Simone Rossetti, Damiano Zappia, Marta Sanzari +2
Weakly Supervised Semantic Segmentation (WSSS) research has explored many directions to improve the typical pipeline CNN plus class activation maps (CAM) plus refinements, given th…
Spatio-Temporal SAR-Optical Data Fusion for Cloud Removal via a Deep Hierarchical Model
Alessandro Sebastianelli, Artur Nowakowski, Erika Puglisi +5
Cloud removal is a relevant topic in Remote Sensing as it fosters the usability of high-resolution optical images for Earth monitoring and study. Related techniques have been analy…
3D Multi-Robot Patrolling with a Two-Level Coordination Strategy
Luigi Freda, Mario Gianni, Fiora Pirri +4
Teams of UGVs patrolling harsh and complex 3D environments can experience interference and spatial conflicts with one another. Neglecting the occurrence of these events crucially h…
Deep execution monitor for robot assistive tasks
Lorenzo Mauro, Edoardo Alati, Marta Sanzari +3
We consider a novel approach to high-level robot task execution for a robot assistive task. In this work we explore the problem of learning to predict the next subtask by introduci…
Visual search and recognition for robot task execution and monitoring
Lorenzo Mauro, Francesco Puja, Simone Grazioso +4
Visual search of relevant targets in the environment is a crucial robot skill. We propose a preliminary framework for the execution monitor of a robot task, taking care of the robo…
Anticipation and next action forecasting in video: an end-to-end model with memory
Fiora Pirri, Lorenzo Mauro, Edoardo Alati +3
Action anticipation and forecasting in videos do not require a hat-trick, as far as there are signs in the context to foresee how actions are going to be deployed. Capturing these…
A Hybrid Approach for Trajectory Control Design
Luigi Freda, Mario Gianni, Fiora Pirri
This work presents a methodology to design trajectory tracking feedback control laws, which embed non-parametric statistical models, such as Gaussian Processes (GPs). The aim is to…
Vision-based deep execution monitoring
Francesco Puja, Simone Grazioso, Antonio Tammaro +3
Execution monitor of high-level robot actions can be effectively improved by visual monitoring the state of the world in terms of preconditions and postconditions that hold before…
Discovery and recognition of motion primitives in human activities
Marta Sanzari, Valsamis Ntouskos, Fiora Pirri
We present a novel framework for the automatic discovery and recognition of motion primitives in videos of human activities. Given the 3D pose of a human in a video, human motion p…
Confidence driven TGV fusion
Valsamis Ntouskos, Fiora Pirri
We introduce a novel model for spatially varying variational data fusion, driven by point-wise confidence values. The proposed model allows for the joint estimation of the data and…