activity
20182022
most citedCross-Domain First Person Audio-Visual Action Recognition through Relative Norm Alignment

6 citations · 8 across the 3 of their papers we have counts for

collaborators

7 papers

cs.CV2022

PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition

Mirco Planamente, Gabriele Goletto, Gabriele Trivigno +2

In this report, we describe the technical details of our submission to the EPIC-Kitchens-100 Unsupervised Domain Adaptation (UDA) Challenge in Action Recognition. To tackle the dom…

cs.CV20212 cited

PoliTO-IIT Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition

Chiara Plizzari, Mirco Planamente, Emanuele Alberti +1

In this report, we describe the technical details of our submission to the EPIC-Kitchens-100 Unsupervised Domain Adaptation (UDA) Challenge in Action Recognition. To tackle the dom…

cs.CV20216 cited

Cross-Domain First Person Audio-Visual Action Recognition through Relative Norm Alignment

Mirco Planamente, Chiara Plizzari, Emanuele Alberti +1

First person action recognition is an increasingly researched topic because of the growing popularity of wearable cameras. This is bringing to light cross-domain issues that are ye…

cs.CV2021

DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain Adaptation

Mirco Planamente, Chiara Plizzari, Marco Cannici +5

Event cameras are novel bio-inspired sensors, which asynchronously capture pixel-level intensity changes in the form of "events". The innovative way they acquire data presents seve…

cs.CV2020

Self-Supervised Joint Encoding of Motion and Appearance for First Person Action Recognition

Mirco Planamente, Andrea Bottino, Barbara Caputo

Wearable cameras are becoming more and more popular in several applications, increasing the interest of the research community in developing approaches for recognizing actions from…

cs.CV2018

A recurrent multi-scale approach to RBG-D Object Recognition

Mirco Planamente, Mohammad Reza Loghmani, Barbara Caputo

Technological development aims to produce generations of increasingly efficient robots able to perform complex tasks. This requires considerable efforts, from the scientific commun…