Motion magnified 3-d residual-in-dense network for deepfake detection
Driven by the advances in deep learning, highly photo-realistic techniques capable of
switching the identity and expression of faces have emerged. Cheap access to computing …
switching the identity and expression of faces have emerged. Cheap access to computing …
[PDF][PDF] Facial retouching and alteration detection
On the social media platforms, the filters for digital retouching and face beautification have
become a common trend. With the availability of easy-to-use image editing tools, the …
become a common trend. With the availability of easy-to-use image editing tools, the …
Manipulating faces for identity theft via morphing and deepfake: Digital privacy
Digital face images can be easily manipulated for obfuscating or impersonating an identity.
Several techniques are used for face manipulation, both traditional computer vision based …
Several techniques are used for face manipulation, both traditional computer vision based …
Deepfake: Classifiers, Fairness, and Demographically Robust Algorithm
Deepfake detection research has seen tremendous success and has achieved remarkably
high performance on a few existing datasets. However, the significant drawback of the …
high performance on a few existing datasets. However, the significant drawback of the …
3 Deep Learning in Computer Vision
Deep learning-based algorithms are classified as automatic feature learning and
classification algorithms. In order to effectively learn these features, these algorithms …
classification algorithms. In order to effectively learn these features, these algorithms …
Deep Learning in Computer Vision: Progress and Threats
The presence of several large-scale databases and advancements in hardware and
software technologies have made the development of sophisticated deep learning …
software technologies have made the development of sophisticated deep learning …