Motion magnified 3-d residual-in-dense network for deepfake detection

A Mehra, A Agarwal, M Vatsa… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
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 …

[PDF][PDF] Facial retouching and alteration detection

P Majumdar, A Agarwal, M Vatsa… - Handbook of Digital Face …, 2022 - library.oapen.org
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 …

Manipulating faces for identity theft via morphing and deepfake: Digital privacy

A Agarwal, N Ratha - Handbook of Statistics, 2023 - Elsevier
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 …

Deepfake: Classifiers, Fairness, and Demographically Robust Algorithm

A Agarwal, N Ratha - 2024 IEEE 18th International Conference …, 2024 - ieeexplore.ieee.org
Deepfake detection research has seen tremendous success and has achieved remarkably
high performance on a few existing datasets. However, the significant drawback of the …

3 Deep Learning in Computer Vision

A Agarwal, N Ratha - … of Artificial Intelligence, Big Data and …, 2022 - books.google.com
Deep learning-based algorithms are classified as automatic feature learning and
classification algorithms. In order to effectively learn these features, these algorithms …

Deep Learning in Computer Vision: Progress and Threats

A Agarwal, N Ratha - … of Artificial Intelligence, Big Data and …, 2022 - taylorfrancis.com
The presence of several large-scale databases and advancements in hardware and
software technologies have made the development of sophisticated deep learning …