activity
20222026
most citedGenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer

4 citations · 10 across the 7 of their papers we have counts for

collaborators

8 papers

cs.CV2026

Geometric Inconsistency Localization in Multi-View Image Sets

Xander Staelens, Albéric Loos, Bert Ramlot +3

Novel view synthesis (NVS) models can produce realistic new views of the same scene from different viewpoints. However, these generated views are not always geometrically consisten…

cs.CV2026

TGIF2: Extended Text-Guided Inpainting Forgery Dataset & Benchmark

Hannes Mareen, Dimitrios Karageorgiou, Paschalis Giakoumoglou +3

Generative AI has made text-guided inpainting a powerful image editing tool, but at the same time a growing challenge for media forensics. Existing benchmarks, including our text-g…

cs.LG2025

Generative Anchored Fields: Controlled Data Generation via Emergent Velocity Fields and Transport Algebra

Deressa Wodajo Deressa, Hannes Mareen, Peter Lambert +1

We present Generative Anchored Fields (GAF), a generative model that learns independent endpoint predictors, (noise) and (data), from any point on a linear bridge. Unlike e…

cs.CV2024

TGIF: Text-Guided Inpainting Forgery Dataset

Hannes Mareen, Dimitrios Karageorgiou, Glenn Van Wallendael +2

Digital image manipulation has become increasingly accessible and realistic with the advent of generative AI technologies. Recent developments allow for text-guided inpainting, mak…

cs.MM2024★ 1 cited

Blind Deep-Learning-Based Image Watermarking Robust Against Geometric Transformations

Hannes Mareen, Lucas Antchougov, Glenn Van Wallendael +1

Digital watermarking enables protection against copyright infringement of images. Although existing methods embed watermarks imperceptibly and demonstrate robustness against attack…

cs.CV2023★ 4 cited

GenConViT: Deepfake Video Detection Using Generative Convolutional Vision Transformer

Deressa Wodajo Deressa, Hannes Mareen, Peter Lambert +3

Deepfakes have raised significant concerns due to their potential to spread false information and compromise digital media integrity. Current deepfake detection models often strugg…

cs.MM2022★ 4 cited

Training Data Improvement for Image Forgery Detection using Comprint

Hannes Mareen, Dante Vanden Bussche, Glenn Van Wallendael +2

Manipulated images are a threat to consumers worldwide, when they are used to spread disinformation. Therefore, Comprint enables forgery detection by utilizing JPEG-compression fin…

cs.CV2022★ 1 cited

Comprint: Image Forgery Detection and Localization using Compression Fingerprints

Hannes Mareen, Dante Vanden Bussche, Fabrizio Guillaro +4

Manipulation tools that realistically edit images are widely available, making it easy for anyone to create and spread misinformation. In an attempt to fight fake news, forgery det…