The face deepfake detection challenge
Multimedia data manipulation and forgery has never been easier than today, thanks to the
power of Artificial Intelligence (AI). AI-generated fake content, commonly called Deepfakes …
power of Artificial Intelligence (AI). AI-generated fake content, commonly called Deepfakes …
Semantic descriptions of high-resolution remote sensing images
Image captioning has attracted more and more attention in remote sensing filed since it
provides more specific information than traditional tasks, such as classification. Though …
provides more specific information than traditional tasks, such as classification. Though …
Locality constraint distance metric learning for traffic congestion detection
In this paper, a locality constraint distance metric learning is proposed for traffic congestion
detection. First of all, an accurate and unified definition of congestion is proposed and the …
detection. First of all, an accurate and unified definition of congestion is proposed and the …
Deepfake Media Forensics: State of the Art and Challenges Ahead
AI-generated synthetic media, also called Deepfakes, have significantly influenced so many
domains, from entertainment to cybersecurity. Generative Adversarial Networks (GANs) and …
domains, from entertainment to cybersecurity. Generative Adversarial Networks (GANs) and …
On the exploitation of deepfake model recognition
Despite recent advances in Generative Adversarial Networks (GANs), with special focus to
the Deepfake phenomenon there is no a clear understanding neither in terms of …
the Deepfake phenomenon there is no a clear understanding neither in terms of …
Deformation-aware 3d model embedding and retrieval
We introduce a new problem of retrieving 3D models that are deformable to a given query
shape and present a novel deep deformation-aware embedding to solve this retrieval task …
shape and present a novel deep deformation-aware embedding to solve this retrieval task …
Relevance metric learning for person re-identification by exploiting listwise similarities
Person re-identification aims to match people across non-overlapping camera views, which
is an important but challenging task in video surveillance. In order to obtain a robust metric …
is an important but challenging task in video surveillance. In order to obtain a robust metric …
[HTML][HTML] GenAI mirage: The impostor bias and the deepfake detection challenge in the era of artificial illusions
M Casu, L Guarnera, P Caponnetto… - Forensic Science …, 2024 - Elsevier
This paper examines the impact of cognitive biases on decision-making in forensics and
digital forensics, exploring biases such as confirmation bias, anchoring bias, and hindsight …
digital forensics, exploring biases such as confirmation bias, anchoring bias, and hindsight …
One-shot learning of scene locations via feature trajectory transfer
R Kwitt, S Hegenbart… - Proceedings of The …, 2016 - openaccess.thecvf.com
The appearance of (outdoor) scenes changes considerably with the strength of certain
transient attributes, such as" rainy"," dark" or" sunny". Obviously, this also affects the …
transient attributes, such as" rainy"," dark" or" sunny". Obviously, this also affects the …
metric-learn: Metric learning algorithms in python
metric-learn is an open source Python package implementing supervised and weakly-
supervised distance metric learning algorithms. As part of scikit-learn-contrib, it provides a …
supervised distance metric learning algorithms. As part of scikit-learn-contrib, it provides a …