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Found 16 papers, 1 papers with code
Explainable Face Verification via Feature-Guided Gradient Backpropagation
Recent years have witnessed significant advancement in face recognition (FR) techniques, with their applications widely spread in people's lives and security-sensitive areas.
Assessing objective quality metrics for JPEG and MPEG point cloud coding
While the performance of multiple state-of-the-art objective quality metrics has already been evaluated through their correlation with subjective scores obtained in the presence of artifacts produced by the MPEG standards, no study has evaluated how metrics perform with the more recent JPEG Pleno point cloud coding.
Towards the Detection of AI-Synthesized Human Face Images
However, the problem of detecting purely synthesized face images has been explored to a lesser extent.
Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression
In this study, a comprehensive performance evaluation of MPEG and JPEG Pleno standards for point cloud compression is conducted.
Technical description of the EPFL submission to the JPEG DNA CfP
This document provides a technical description of the codec proposed by EPFL to the JPEG DNA Call for Proposals.
Discriminative Deep Feature Visualization for Explainable Face Recognition
To further interpret the decision of an FR model, a novel visual saliency explanation algorithm has been proposed.
Towards Visual Saliency Explanations of Face Verification
In the past years, deep convolutional neural networks have been pushing the frontier of face recognition (FR) techniques in both verification and identification scenarios.
Assessment Framework for Deepfake Detection in Real-world Situations
In this paper, a more reliable assessment framework is proposed to evaluate the performance of learning-based deepfake detectors in more realistic settings.
Explanation of Face Recognition via Saliency Maps
Recent studies have explored use of visual saliency maps as an explanation, but they often lack a deeper analysis in the context of face recognition.
Impact of Video Processing Operations in Deepfake Detection
Moreover, substantial experiments have been carried out on three popular deepfake detectors, which give detailed analyses on the impact of each operation and bring insights to foster future research.
Cross-resolution Face Recognition via Identity-Preserving Network and Knowledge Distillation
Cross-resolution face recognition has become a challenging problem for modern deep face recognition systems.
A Novel Framework for Assessment of Learning-based Detectors in Realistic Conditions with Application to Deepfake Detection
Deep convolutional neural networks have shown remarkable results on multiple detection tasks.
A New Approach to Improve Learning-based Deepfake Detection in Realistic Conditions
Extensive experiments show that the proposed data augmentation scheme improves generalization ability to unpredictable data distortions and unseen datasets.
Sampling color and geometry point clouds from ShapeNet dataset
This document describes a script for sampling the meshes from ShapeNet that circumvent this issue by excluding the internal faces of the mesh models prior to the sampling.
Impact of Benign Modifications on Discriminative Performance of Deepfake Detectors
Deepfakes are becoming increasingly popular in both good faith applications such as in entertainment and maliciously intended manipulations such as in image and video forgery.
High Dynamic Range Imaging Technology
In this lecture note, we describe high dynamic range (HDR) imaging systems; such systems are able to represent luminances of much larger brightness and, typically, also a larger range of colors than conventional standard dynamic range (SDR) imaging systems.
