2 citations · 3 across the 21 of their papers we have counts for
22 papers
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…
LLaVA-CKD: Bottom-Up Cascaded Knowledge Distillation for Vision-Language Models
Nikolaos Gkalelis, Vasileios Mezaris
Large Vision-Language Models (VLMs) are successful in addressing a multitude of vision-language understanding tasks, such as Visual Question Answering (VQA), but their memory and c…
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…
SDAKD: Student Discriminator Assisted Knowledge Distillation for Super-Resolution Generative Adversarial Networks
Nikolaos Kaparinos, Vasileios Mezaris
Generative Adversarial Networks (GANs) achieve excellent performance in generative tasks, such as image super-resolution, but their computational requirements make difficult their…
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…
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…
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…
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…
Improving Multimodal Hateful Meme Detection Exploiting LMM-Generated Knowledge
Maria Tzelepi, Vasileios Mezaris
Memes have become a dominant form of communication in social media in recent years. Memes are typically humorous and harmless, however there are also memes that promote hate speech…
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…
B-FPGM: Lightweight Face Detection via Bayesian-Optimized Soft FPGM Pruning
Nikolaos Kaparinos, Vasileios Mezaris
Face detection is a computer vision application that increasingly demands lightweight models to facilitate deployment on devices with limited computational resources. Neural networ…
LMM-Regularized CLIP Embeddings for Image Classification
Maria Tzelepi, Vasileios Mezaris
In this paper we deal with image classification tasks using the powerful CLIP vision-language model. Our goal is to advance the classification performance using the CLIP's image en…
Disturbing Image Detection Using LMM-Elicited Emotion Embeddings
Maria Tzelepi, Vasileios Mezaris
In this paper we deal with the task of Disturbing Image Detection (DID), exploiting knowledge encoded in Large Multimodal Models (LMMs). Specifically, we propose to exploit LMM kno…
Online Anchor-based Training for Image Classification Tasks
Maria Tzelepi, Vasileios Mezaris
In this paper, we aim to improve the performance of a deep learning model towards image classification tasks, proposing a novel anchor-based training methodology, named \textit{Onl…
Exploiting LMM-based knowledge for image classification tasks
Maria Tzelepi, Vasileios Mezaris
In this paper we address image classification tasks leveraging knowledge encoded in Large Multimodal Models (LMMs). More specifically, we use the MiniGPT-4 model to extract semanti…
A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization Methods
Ioannis Kontostathis, Evlampios Apostolidis, Vasileios Mezaris
In this paper we introduce a new dataset for 360-degree video summarization: the transformation of 360-degree video content to concise 2D-video summaries that can be consumed via t…
An Integrated Framework for Multi-Granular Explanation of Video Summarization
Konstantinos Tsigos, Evlampios Apostolidis, Vasileios Mezaris
In this paper, we propose an integrated framework for multi-granular explanation of video summarization. This framework integrates methods for producing explanations both at the fr…
Visual and audio scene classification for detecting discrepancies in video: a baseline method and experimental protocol
Konstantinos Apostolidis, Jakob Abesser, Luca Cuccovillo +1
This paper presents a baseline approach and an experimental protocol for a specific content verification problem: detecting discrepancies between the audio and video modalities in…
Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection
Konstantinos Tsigos, Evlampios Apostolidis, Spyridon Baxevanakis +2
In this paper we propose a new framework for evaluating the performance of explanation methods on the decisions of a deepfake detector. This framework assesses the ability of an ex…
Facilitating the Production of Well-tailored Video Summaries for Sharing on Social Media
Evlampios Apostolidis, Konstantinos Apostolidis, Vasileios Mezaris
This paper presents a web-based tool that facilitates the production of tailored summaries for online sharing on social media. Through an interactive user interface, it supports a…
An Integrated System for Spatio-Temporal Summarization of 360-degrees Videos
Ioannis Kontostathis, Evlampios Apostolidis, Vasileios Mezaris
In this work, we present an integrated system for spatiotemporal summarization of 360-degrees videos. The video summary production mainly involves the detection of salient events a…
MMFusion: Combining Image Forensic Filters for Visual Manipulation Detection and Localization
Kostas Triaridis, Konstantinos Tsigos, Vasileios Mezaris
Recent image manipulation localization and detection techniques typically leverage forensic artifacts and traces that are produced by a noise-sensitive filter, such as SRM or Bayar…