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P. D'Oro

dblp:234/4451 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Video understanding and tracking · 77% Trustworthy machine learning · 23%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computer vision › Video understanding and tracking › motion analysis
motion dynamics		 0.412020
Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos · Int. J. Comput. Vis. 2020
Machine learning › Trustworthy machine learning › robustness › adversarial robustness
adversarial training		 0.112020
Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos · Int. J. Comput. Vis. 2020

Methods — techniques the papers use, named apart from their topics

unsupervised learning · 0.4adversarial framework · 0.4
YearPublicationVenuePosition
2020 Adversarial Framework for Unsupervised Learning of Motion Dynamics in Videos
Concetto Spampinato, Simone Palazzo, P. D'Oro, Daniela Giordano, Mubarak Shah
 Int. J. Comput. Vis.3