1 code implementation • 6 Nov 2022 • Gabriele Goletto, Mirco Planamente, Barbara Caputo, Giuseppe Averta
To enable a safe and effective human-robot cooperation, it is crucial to develop models for the identification of human activities.
no code implementations • 9 Sep 2022 • Mirco Planamente, Gabriele Goletto, Gabriele Trivigno, Giuseppe Averta, 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.
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.
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.
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 • 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 • 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 • 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".
3 code implementations • 21 Apr 2020 • Mohammad Reza Loghmani, Luca Robbiano, Mirco Planamente, Kiru Park, Barbara Caputo, Markus Vincze
Unsupervised Domain Adaptation (DA) exploits the supervision of a label-rich source dataset to make predictions on an unlabeled target dataset by aligning the two data distributions.
no code implementations • 10 Feb 2020 • 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 the first-person point of view.
no code implementations • 31 Jul 2018 • Mirco Planamente, Mohammad Reza Loghmani, Barbara Caputo
Technological development aims to produce generations of increasingly efficient robots able to perform complex tasks.
1 code implementation • 5 Jun 2018 • Mohammad Reza Loghmani, Mirco Planamente, Barbara Caputo, Markus Vincze
Providing machines with the ability to recognize objects like humans has always been one of the primary goals of machine vision.