no code implementations • 21 May 2024 • Victoria Manousaki, Konstantinos Bacharidis, Filippos Gouidis, Konstantinos Papoutsakis, Dimitris Plexousakis, Antonis Argyros
Leveraging the extensive and challenging Ego4D dataset which provides a large-scale collection of first-person perspective videos across numerous interaction scenarios, we introduce new curated annotation data for the object state change anticipation task (OSCA), noted as Ego4D-OSCA.
no code implementations • 12 Sep 2022 • Victoria Manousaki, Konstantinos Papoutsakis, Antonis Argyros
We present a novel approach for the visual prediction of human-object interactions in videos.
no code implementations • 14 Mar 2019 • Thomais Asvestopoulou, Victoria Manousaki, Antonis Psistakis, Ioannis Smyrnakis, Vassilios Andreadakis, Ioannis M. Aslanides, Maria Papadopouli
Machine Learning (ML) algorithms can decode this information and provide differential analysis.