Search Results for author:
Found 6 papers, 3 papers with code
EarthMatch: Iterative Coregistration for Fine-grained Localization of Astronaut Photography
Precise, pixel-wise geolocalization of astronaut photography is critical to unlocking the potential of this unique type of remotely sensed Earth data, particularly for its use in disaster management and climate change research.
Bringing Online Egocentric Action Recognition into the wild
To enable a safe and effective human-robot cooperation, it is crucial to develop models for the identification of human activities.
PoliTO-IIT-CINI Submission to the EPIC-KITCHENS-100 Unsupervised Domain Adaptation Challenge for Action Recognition
In this report, we describe the technical details of our submission to the EPIC-Kitchens-100 Unsupervised Domain Adaptation (UDA) Challenge in Action Recognition.
E2(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition
However, the ever-growing field of event-based vision has, to date, overlooked the potential of event cameras in such applications.
E$^2$(GO)MOTION: Motion Augmented Event Stream for Egocentric Action Recognition
However, the ever-growing field of event-based vision has, to date, overlooked the potential of event cameras in such applications.
