Chiara Plizzari

most citedE

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(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition

4 citations · 4 across the 1 of their papers we have counts for

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cs.CV2023

EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge: Mixed Sequences Prediction

Amirshayan Nasirimajd, Simone Alberto Peirone, Chiara Plizzari +1

This report presents the technical details of our approach for the EPIC-Kitchens-100 Unsupervised Domain Adaptation (UDA) Challenge in Action Recognition. Our approach is based on…

cs.CV2021★ 4 cited

E $^{2}$ (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…

EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge: Mixed Sequences Prediction

E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition

E $^{2}$ (GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition