activity
20202024
most citedAction Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition

278 citations · 1.5k across the 31 of their papers we have counts for

collaborators
Showing 2021Show all

6 papers · 1 filter

cs.RO2021★ 39 cited

Marvin: an Innovative Omni-Directional Robotic Assistant for Domestic Environments

Andrea Eirale, Mauro Martini, Luigi Tagliavini +3

Population ageing and pandemics recently demonstrate to cause isolation of elderly people in their houses, generating the need for a reliable assistive figure. Robotic assistants a…

cs.RO2021★ 10 cited

A Deep Learning Driven Algorithmic Pipeline for Autonomous Navigation in Row-Based Crops

Simone Cerrato, Vittorio Mazzia, Francesco Salvetti +4

Expensive sensors and inefficient algorithmic pipelines significantly affect the overall cost of autonomous machines. However, affordable robotic solutions are essential to practic…

cs.RO2021★ 38 cited

Deep Semantic Segmentation at the Edge for Autonomous Navigation in Vineyard Rows

Diego Aghi, Simone Cerrato, Vittorio Mazzia +1

Precision agriculture is a fast-growing field that aims at introducing affordable and effective automation into agricultural processes. Nowadays, algorithmic solutions for navigati…

cs.CV2021★ 278 cited

Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition

Vittorio Mazzia, Simone Angarano, Francesco Salvetti +2

Deep neural networks based purely on attention have been successful across several domains, relying on minimal architectural priors from the designer. In Human Action Recognition (…

cs.CV2021★ 2 cited

Domain-Adversarial Training of Self-Attention Based Networks for Land Cover Classification using Multi-temporal Sentinel-2 Satellite Imagery

Mauro Martini, Vittorio Mazzia, Aleem Khaliq +1

The increasing availability of large-scale remote sensing labeled data has prompted researchers to develop increasingly precise and accurate data-driven models for land cover and c…

cs.CV2021★ 241 cited

Efficient-CapsNet: Capsule Network with Self-Attention Routing

Vittorio Mazzia, Francesco Salvetti, Marcello Chiaberge

Deep convolutional neural networks, assisted by architectural design strategies, make extensive use of data augmentation techniques and layers with a high number of feature maps to…