487 citations · 622 across the 13 of their papers we have counts for
17 papers
Detect and Locate: Exposing Face Manipulation by Semantic- and Noise-level Telltales
Chenqi Kong, Baoliang Chen, Haoliang Li +3
The technological advancements of deep learning have enabled sophisticated face manipulation schemes, raising severe trust issues and security concerns in modern society. Generally…
Benchmarking Scientific Image Forgery Detectors
João P. Cardenuto, Anderson Rocha
The scientific image integrity area presents a challenging research bottleneck, the lack of available datasets to design and evaluate forensic techniques. Its data sensitivity crea…
Unsupervised and self-adaptative techniques for cross-domain person re-identification
Gabriel Bertocco, Fernanda Andaló, Anderson Rocha
Person Re-Identification (ReID) across non-overlapping cameras is a challenging task and, for this reason, most works in the prior art rely on supervised feature learning from a la…
Survey on Reliable Deep Learning-Based Person Re-Identification Models: Are We There Yet?
Bahram Lavi, Ihsan Ullah, Mehdi Fatan +1
Intelligent video-surveillance (IVS) is currently an active research field in computer vision and machine learning and provides useful tools for surveillance operators and forensic…
Learning Transformation-Aware Embeddings for Image Forensics
Aparna Bharati, Daniel Moreira, Patrick Flynn +3
A dramatic rise in the flow of manipulated image content on the Internet has led to an aggressive response from the media forensics research community. New efforts have incorporate…
An In-Depth Study on Open-Set Camera Model Identification
Pedro Ribeiro Mendes Júnior, Luca Bondi, Paolo Bestagini +2
Camera model identification refers to the problem of linking a picture to the camera model used to shoot it. As this might be an enabling factor in different forensic applications…