activity
20092024
most citedFIVR: Fine-grained Incident Video Retrieval

78 citations · 283 across the 39 of their papers we have counts for

collaborators

42 papers

cs.CV2024★ 6 cited

IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition

George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris +1

Deep learning techniques have achieved significant success in Synthetic Aperture Radar (SAR) target recognition using predefined datasets in static scenarios. However, real-world a…

cs.CV2024

Fusion Transformer with Object Mask Guidance for Image Forgery Analysis

Dimitrios Karageorgiou, Giorgos Kordopatis-Zilos, Symeon Papadopoulos

In this work, we introduce OMG-Fuser, a fusion transformer-based network designed to extract information from various forensic signals to enable robust image forgery detection and…

cs.CV2023★ 1 cited

Mitigating Viewer Impact from Disturbing Imagery using AI Filters: A User-Study

Ioannis Sarridis, Jochen Spangenberg, Olga Papadopoulou +1

Exposure to disturbing imagery can significantly impact individuals, especially professionals who encounter such content as part of their work. This paper presents a user study, in…

cs.CV2023★ 1 cited

Towards Fair Face Verification: An In-depth Analysis of Demographic Biases

Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos +1

Deep learning-based person identification and verification systems have remarkably improved in terms of accuracy in recent years; however, such systems, including widely popular cl…

cs.CV2023

The 2023 Video Similarity Dataset and Challenge

Ed Pizzi, Giorgos Kordopatis-Zilos, Hiral Patel +6

This work introduces a dataset, benchmark, and challenge for the problem of video copy detection and localization. The problem comprises two distinct but related tasks: determining…

cs.CV2023★ 18 cited

Improving Synthetically Generated Image Detection in Cross-Concept Settings

Pantelis Dogoulis, Giorgos Kordopatis-Zilos, Ioannis Kompatsiaris +1

New advancements for the detection of synthetic images are critical for fighting disinformation, as the capabilities of generative AI models continuously evolve and can lead to hyp…