1 code implementation • 17 Aug 2020 • Chiara Plizzari, Marco Cannici, Matteo Matteucci
Skeleton-based Human Activity Recognition has achieved great interest in recent years as skeleton data has demonstrated being robust to illumination changes, body scales, dynamic camera views, and complex background.
1 code implementation • 11 Dec 2020 • Chiara Plizzari, Marco Cannici, Matteo Matteucci
Skeleton-based human action recognition has achieved a great interest in recent years, as skeleton data has been demonstrated to be robust to illumination changes, body scales, dynamic camera views, and complex background.
1 code implementation • 7 Dec 2021 • Chiara Plizzari, Mirco Planamente, Gabriele Goletto, Marco Cannici, Emanuele Gusso, Matteo Matteucci, Barbara Caputo
However, the ever-growing field of event-based vision has, to date, overlooked the potential of event cameras in such applications.
1 code implementation • CVPR 2022 • Chiara Plizzari, Mirco Planamente, Gabriele Goletto, Marco Cannici, Emanuele Gusso, Matteo Matteucci, Barbara Caputo
However, the ever-growing field of event-based vision has, to date, overlooked the potential of event cameras in such applications.
no code implementations • 23 Mar 2021 • Mirco Planamente, Chiara Plizzari, Marco Cannici, Marco Ciccone, Francesco Strada, Andrea Bottino, Matteo Matteucci, Barbara Caputo
Event cameras are novel bio-inspired sensors, which asynchronously capture pixel-level intensity changes in the form of "events".
no code implementations • 3 Jun 2021 • Mirco Planamente, Chiara Plizzari, Emanuele Alberti, Barbara Caputo
First person action recognition is an increasingly researched topic because of the growing popularity of wearable cameras.
no code implementations • 1 Jul 2021 • Chiara Plizzari, Mirco Planamente, Emanuele Alberti, Barbara Caputo
In this report, we describe the technical details of our submission to the EPIC-Kitchens-100 Unsupervised Domain Adaptation (UDA) Challenge in Action Recognition.
no code implementations • 19 Oct 2021 • Mirco Planamente, Chiara Plizzari, Emanuele Alberti, Barbara Caputo
First person action recognition is becoming an increasingly researched area thanks to the rising popularity of wearable cameras.
no code implementations • ICCV 2023 • Chiara Plizzari, Toby Perrett, Barbara Caputo, Dima Damen
We propose and address a new generalisation problem: can a model trained for action recognition successfully classify actions when they are performed within a previously unseen scenario and in a previously unseen location?
no code implementations • 24 Jul 2023 • Amirshayan Nasirimajd, Simone Alberto Peirone, Chiara Plizzari, Barbara Caputo
As only unlabelled target data are available under the UDA setting, we use a standard pseudo-labeling strategy for extracting action labels for the target.
no code implementations • 14 Aug 2023 • Chiara Plizzari, Gabriele Goletto, Antonino Furnari, Siddhant Bansal, Francesco Ragusa, Giovanni Maria Farinella, Dima Damen, Tatiana Tommasi
What will the future be?
no code implementations • 7 Apr 2024 • Chiara Plizzari, Shubham Goel, Toby Perrett, Jacob Chalk, Angjoo Kanazawa, Dima Damen
As humans move around, performing their daily tasks, they are able to recall where they have positioned objects in their environment, even if these objects are currently out of sight.