Witnessing impressive results of deep nets in a number of computer vision problems, the
image forensic community has begun to utilize them in the challenging domain of detecting …

The data that is stored or transmitted in digital form is susceptible to be attacked. Digital
images are particularly vulnerable to unauthorized access and illicit alterations. As a result …

In recent years, deep learning-based video manipulation methods have become widely
accessible to masses. With little to no effort, people can easily learn how to generate …

Deep learning-based video manipulation methods have become widely accessible to the
masses. With little to no effort, people can quickly learn how to generate deepfake (DF) …

Online media data, in the forms of images and videos, are becoming mainstream
communication channels. However, recent advances in deep learning, particularly deep …

Background: COVID-19 is a disease with multiple variants, and is quickly spreading
throughout the world. It is crucial to identify patients who are suspected of having COVID-19 …

Forensic analysis of manipulated pixels requires the identification of various hidden and
subtle features from images. Conventional image recognition models generally fail at this …

The remarkable generative capabilities of denoising diffusion models have raised new
concerns regarding the authenticity of the images we see every day on the Internet …

We propose a novel convolutional operator for the task of point cloud completion. One
striking characteristic of our approach is that, conversely to related work it does not require …

Image forgery detection focuses more on tampering regions than image content of semantic
segmentation, it is revealed that wealthier features need to be learned. Moreover, insufficient …