78 citations · 283 across the 39 of their papers we have counts for
27 papers · 1 filter
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…
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…
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…
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…
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…
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…
Investigation of ensemble methods for the detection of deepfake face manipulations
Nikolaos Giatsoglou, Symeon Papadopoulos, Ioannis Kompatsiaris
The recent wave of AI research has enabled a new brand of synthetic media, called deepfakes. Deepfakes have impressive photorealism, which has generated exciting new use cases but…
MemeFier: Dual-stage Modality Fusion for Image Meme Classification
Christos Koutlis, Manos Schinas, Symeon Papadopoulos
Hate speech is a societal problem that has significantly grown through the Internet. New forms of digital content such as image memes have given rise to spread of hate using multim…
FLAC: Fairness-Aware Representation Learning by Suppressing Attribute-Class Associations
Ioannis Sarridis, Christos Koutlis, Symeon Papadopoulos +1
Bias in computer vision systems can perpetuate or even amplify discrimination against certain populations. Considering that bias is often introduced by biased visual datasets, many…
VERITE: A Robust Benchmark for Multimodal Misinformation Detection Accounting for Unimodal Bias
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1
Multimedia content has become ubiquitous on social media platforms, leading to the rise of multimodal misinformation (MM) and the urgent need for effective strategies to detect and…
Self-Supervised Video Similarity Learning
Giorgos Kordopatis-Zilos, Giorgos Tolias, Christos Tzelepis +3
We introduce SVS, a video similarity learning approach with self-supervision. Self-Supervised Learning (SSL) is typically used to train deep models on a proxy task so as to hav…
Design-time Fashion Popularity Forecasting in VR Environments
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Anastasios Papazoglou-Chalikias +2
Being able to forecast the popularity of new garment designs is very important in an industry as fast paced as fashion, both in terms of profitability and reducing the problem of u…
MINTIME: Multi-Identity Size-Invariant Video Deepfake Detection
Davide Alessandro Coccomini, Giorgos Kordopatis Zilos, Giuseppe Amato +4
In this paper, we introduce MINTIME, a video deepfake detection approach that captures spatial and temporal anomalies and handles instances of multiple people in the same video and…
A Multi-Stream Fusion Network for Image Splicing Localization
Maria Siopi, Giorgos Kordopatis-Zilos, Polychronis Charitidis +2
In this paper, we address the problem of image splicing localization with a multi-stream network architecture that processes the raw RGB image in parallel with other handcrafted fo…
Leveraging Large-scale Multimedia Datasets to Refine Content Moderation Models
Ioannis Sarridis, Christos Koutlis, Olga Papadopoulou +1
The sheer volume of online user-generated content has rendered content moderation technologies essential in order to protect digital platform audiences from content that may cause…
VICTOR: Visual Incompatibility Detection with Transformers and Fashion-specific contrastive pre-training
Stefanos-Iordanis Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1
For fashion outfits to be considered aesthetically pleasing, the garments that constitute them need to be compatible in terms of visual aspects, such as style, category and color.…
Multimodal Quasi-AutoRegression: Forecasting the visual popularity of new fashion products
Stefanos I. Papadopoulos, Christos Koutlis, Symeon Papadopoulos +1
Estimating the preferences of consumers is of utmost importance for the fashion industry as appropriately leveraging this information can be beneficial in terms of profit. Trend de…
MemeTector: Enforcing deep focus for meme detection
Christos Koutlis, Manos Schinas, Symeon Papadopoulos
Image memes and specifically their widely-known variation image macros, is a special new media type that combines text with images and is used in social media to playfully or subtl…
InDistill: Information flow-preserving knowledge distillation for model compression
Ioannis Sarridis, Christos Koutlis, Giorgos Kordopatis-Zilos +2
In this paper, we introduce InDistill, a method that serves as a warmup stage for enhancing Knowledge Distillation (KD) effectiveness. InDistill focuses on transferring critical in…
The MeVer DeepFake Detection Service: Lessons Learnt from Developing and Deploying in the Wild
Spyridon Baxevanakis, Giorgos Kordopatis-Zilos, Panagiotis Galopoulos +6
Enabled by recent improvements in generation methodologies, DeepFakes have become mainstream due to their increasingly better visual quality, the increase in easy-to-use generation…
Leveraging Selective Prediction for Reliable Image Geolocation
Apostolos Panagiotopoulos, Giorgos Kordopatis-Zilos, Symeon Papadopoulos
Reliable image geolocation is crucial for several applications, ranging from social media geo-tagging to fake news detection. State-of-the-art geolocation methods surpass human per…
A Survey on Bias in Visual Datasets
Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi +1
Computer Vision (CV) has achieved remarkable results, outperforming humans in several tasks. Nonetheless, it may result in significant discrimination if not handled properly as CV…
DnS: Distill-and-Select for Efficient and Accurate Video Indexing and Retrieval
Giorgos Kordopatis-Zilos, Christos Tzelepis, Symeon Papadopoulos +2
In this paper, we address the problem of high performance and computationally efficient content-based video retrieval in large-scale datasets. Current methods typically propose eit…
Leveraging EfficientNet and Contrastive Learning for Accurate Global-scale Location Estimation
Giorgos Kordopatis-Zilos, Panagiotis Galopoulos, Symeon Papadopoulos +1
In this paper, we address the problem of global-scale image geolocation, proposing a mixed classification-retrieval scheme. Unlike other methods that strictly tackle the problem as…