activity
20152026
most citedLearning to detect video events from zero or very few video examples

26 citations · 27 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

A Test-time Actor-Critic Approach to News Images Generation

Damianos Galanopoulos, Vasileios Mezaris

This paper introduces the CERTH-ITI solution for the MediaEval NewsImages 2026 challenge, which focuses on generating images related to news headlines. Inspired by the Actor-Critic…

cs.CV2026

Sens-VisualNews: A Benchmark Dataset for Sensational Image Detection

Andreas Goulas, Damianos Galanopoulos, Evlampios Apostolidis +1

The detection of sensational content in media items can be a critical filtering mechanism for identifying check-worthy content and flagging potential disinformation, since such con…

cs.CV2022

Are All Combinations Equal? Combining Textual and Visual Features with Multiple Space Learning for Text-Based Video Retrieval

Damianos Galanopoulos, Vasileios Mezaris

In this paper we tackle the cross-modal video retrieval problem and, more specifically, we focus on text-to-video retrieval. We investigate how to optimally combine multiple divers…

cs.IR2020★ 1 cited

Migration-Related Semantic Concepts for the Retrieval of Relevant Video Content

Elejalde Erick, Galanopoulos Damianos, Niederee Claudia +1

Migration, and especially irregular migration, is a critical issue for border agencies and society in general. Migration-related situations and decisions are influenced by various…

cs.LG2015★ 26 cited

Learning to detect video events from zero or very few video examples

Christos Tzelepis, Damianos Galanopoulos, Vasileios Mezaris +1

In this work we deal with the problem of high-level event detection in video. Specifically, we study the challenging problems of i) learning to detect video events from solely a te…