406 citations · 668 across the 15 of their papers we have counts for
5 papers · 1 filter
E(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition
Chiara Plizzari, Mirco Planamente, Gabriele Goletto +4
Event cameras are novel bio-inspired sensors, which asynchronously capture pixel-level intensity changes in the form of "events". Due to their sensing mechanism, event cameras have…
Domain Generalization through Audio-Visual Relative Norm Alignment in First Person Action Recognition
Mirco Planamente, Chiara Plizzari, Emanuele Alberti +1
First person action recognition is becoming an increasingly researched area thanks to the rising popularity of wearable cameras. This is bringing to light cross-domain issues that…
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…
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…
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…