4 citations · 9 across the 6 of their papers we have counts for
7 papers
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…
POTR: Post-Training 3DGS Compression
Bert Ramlot, Martijn Courteaux, Peter Lambert +1
3D Gaussian Splatting (3DGS) has recently emerged as a promising contender to Neural Radiance Fields (NeRF) in 3D scene reconstruction and real-time novel view synthesis. 3DGS outp…
Reliable uncertainty quantification for 2D/3D anatomical landmark localization using multi-output conformal prediction
Jef Jonkers, Frank Coopman, Luc Duchateau +2
Automatic anatomical landmark localization in medical imaging requires not just accurate predictions but reliable uncertainty quantification for effective clinical decision support…
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…
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…
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…
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…