activity
20242026
collaborators

9 papers

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.CV2026

SD-MVSum: Script-Driven Multimodal Video Summarization Method and Datasets

Manolis Mylonas, Charalampia Zerva, Evlampios Apostolidis +1

In this work, we present a method and two large-scale datasets for Script-Driven Multimodal Video Summarization. The proposed method, SD-MVSum, builds on our earlier SD-VSum method…

cs.CV2025

An Experimental Study on Generating Plausible Textual Explanations for Video Summarization

Thomas Eleftheriadis, Evlampios Apostolidis, Vasileios Mezaris

In this paper, we present our experimental study on generating plausible textual explanations for the outcomes of video summarization. For the needs of this study, we extend an exi…

cs.CV2025

TSalV360: A Method and Dataset for Text-driven Saliency Detection in 360-Degrees Videos

Ioannis Kontostathis, Evlampios Apostolidis, Vasileios Mezaris

In this paper, we deal with the task of text-driven saliency detection in 360-degrees videos. For this, we introduce the TSV360 dataset which includes 16,000 triplets of ERP frames…

cs.CV2025

SD-VSum: A Method and Dataset for Script-Driven Video Summarization

Manolis Mylonas, Evlampios Apostolidis, Vasileios Mezaris

In this work, we introduce the task of script-driven video summarization, which aims to produce a summary of the full-length video by selecting the parts that are most relevant to…

cs.CV2025

Improving the Perturbation-Based Explanation of Deepfake Detectors Through the Use of Adversarially-Generated Samples

Konstantinos Tsigos, Evlampios Apostolidis, Vasileios Mezaris

In this paper, we introduce the idea of using adversarially-generated samples of the input images that were classified as deepfakes by a detector, to form perturbation masks for in…