Zobrazeno 1 - 10
of 174
pro vyhledávání: '"Van Wallendael, Glenn"'
Autor:
Mareen, Hannes, Karageorgiou, Dimitrios, Van Wallendael, Glenn, Lambert, Peter, Papadopoulos, Symeon
Digital image manipulation has become increasingly accessible and realistic with the advent of generative AI technologies. Recent developments allow for text-guided inpainting, making sophisticated image edits possible with minimal effort. This poses
Externí odkaz:
http://arxiv.org/abs/2407.11566
Conformal Predictive Systems (CPS) offer a versatile framework for constructing predictive distributions, allowing for calibrated inference and informative decision-making. However, their applicability has been limited to scenarios adhering to the In
Externí odkaz:
http://arxiv.org/abs/2404.15018
Digital watermarking enables protection against copyright infringement of images. Although existing methods embed watermarks imperceptibly and demonstrate robustness against attacks, they typically lack resilience against geometric transformations. T
Externí odkaz:
http://arxiv.org/abs/2402.09062
Knowledge of the effect of interventions, known as the treatment effect, is paramount for decision-making. Approaches to estimating this treatment effect using conditional average treatment effect (CATE) meta-learners often provide only a point estim
Externí odkaz:
http://arxiv.org/abs/2402.04906
This research investigates whether the interaction methods of XR headsets can be improved by using haptic feedback. As a first and most common technique, indirect interactions are considered. Indirect interactions correspond to manipulations of virtu
Externí odkaz:
http://arxiv.org/abs/2212.04366
Virtual Reality, and Extended Reality in general, connect the physical body with the virtual world. Movement of our body translates to interactions with this virtual world. Only by moving our head will we see a different perspective. By doing so, the
Externí odkaz:
http://arxiv.org/abs/2212.04363
Autor:
Mareen, Hannes, Bussche, Dante Vanden, Van Wallendael, Glenn, Verdoliva, Luisa, Lambert, Peter
Manipulated images are a threat to consumers worldwide, when they are used to spread disinformation. Therefore, Comprint enables forgery detection by utilizing JPEG-compression fingerprints. This paper evaluates the impact of the training set on Comp
Externí odkaz:
http://arxiv.org/abs/2211.14079
Autor:
Mareen, Hannes, Bussche, Dante Vanden, Guillaro, Fabrizio, Cozzolino, Davide, Van Wallendael, Glenn, Lambert, Peter, Verdoliva, Luisa
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 detection and localization methods were designed. However, existing metho
Externí odkaz:
http://arxiv.org/abs/2210.02227
In six-degrees-of-freedom light-field (LF) experiences, the viewer's freedom is limited by the extent to which the plenoptic function was sampled. Existing LF datasets represent only small portions of the plenoptic function, such that they either cov
Externí odkaz:
http://arxiv.org/abs/2204.09523
Publikováno v:
In Applied Energy 1 May 2024 361