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Found 51 papers, 7 papers with code
DiffSSD: A Diffusion-Based Dataset For Speech Forensics
Many of these detectors are trained on datasets which do not include diffusion-based synthesizers.
FairSSD: Understanding Bias in Synthetic Speech Detectors
In this work, we examine bias in existing synthetic speech detectors to determine if they will unfairly target a particular gender, age and accent group.
Compression Robust Synthetic Speech Detection Using Patched Spectrogram Transformer
We evaluate the detection performance of PS3DT on ASVspoof2019 dataset.
End-to-end Evaluation of Practical Video Analytics Systems for Face Detection and Recognition
We then evaluate the end-to-end system performance sequentially to account for task interdependencies.
Information Forensics and Security: A quarter-century-long journey
Information Forensics and Security (IFS) is an active R&D area whose goal is to ensure that people use devices, data, and intellectual properties for authorized purposes and to facilitate the gathering of solid evidence to hold perpetrators accountable.
Diffusion Model with Clustering-based Conditioning for Food Image Generation
Image-based dietary assessment serves as an efficient and accurate solution for recording and analyzing nutrition intake using eating occasion images as input.
Semi-Supervised Object Detection for Sorghum Panicles in UAV Imagery
In this paper, we present an approach to reduce the amount of training data for sorghum panicle detection via semi-supervised learning.
DSVAE: Interpretable Disentangled Representation for Synthetic Speech Detection
We also visualize the representation obtained from DSVAE for 17 different speech synthesizers and verify that they are indeed interpretable and discriminate bona fide and synthetic speech from each of the synthesizers.
Illumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification
Unsupervised domain adaptive (UDA) person re-identification (re-ID) aims to learn identity information from labeled images in source domains and apply it to unlabeled images in a target domain.
Domain Adaptive Person Re-Identification
Image Generation
+1
Improving Food Detection For Images From a Wearable Egocentric Camera
In this paper, we propose an approach to pre-process images collected by the AIM imaging sensor by rejecting extremely blurry images to improve the performance of food detection.
H4VDM: H.264 Video Device Matching
We denote our proposed technique as H. 264 Video Device Matching (H4VDM).
Transformer-Based Speech Synthesizer Attribution in an Open Set Scenario
In other words, we consider some speech synthesizers to be "known" synthesizers (i. e., part of the closed set) and others to be "unknown" synthesizers (i. e., part of the open set).
High-Resolution UAV Image Generation for Sorghum Panicle Detection
The number of panicles (or heads) of Sorghum plants is an important phenotypic trait for plant development and grain yield estimation.
Splicing Detection and Localization In Satellite Imagery Using Conditional GANs
In this paper, we describe the use of a Conditional Generative Adversarial Network (cGAN) to identify the presence of such spliced forgeries within satellite images.
Synthesized Speech Detection Using Convolutional Transformer-Based Spectrogram Analysis
Synthesized speech is common today due to the prevalence of virtual assistants, easy-to-use tools for generating and modifying speech signals, and remote work practices.
Frequency Domain-Based Detection of Generated Audio
Attackers may manipulate audio with the intent of presenting falsified reports, changing an opinion of a public figure, and winning influence and power.
Leaf Tar Spot Detection Using RGB Images
We show that a Mask R-CNN can be used effectively to detect tar spots in close-up images of leaf surfaces.
An Overview of Recent Work in Media Forensics: Methods and Threats
In this paper, we review recent work in media forensics for digital images, video, audio (specifically speech), and documents.
Forensic Analysis of Synthetically Generated Western Blot Images
As a matter of fact, the generation of synthetic content is not restricted to multimedia data like videos, photographs or audio sequences, but covers a significantly vast area that can include biological images as well, such as western blot and microscopic images.
Improving Building Segmentation for Off-Nadir Satellite Imagery
In this paper, we propose a method that is able to provide accurate building segmentation for satellite imagery captured from a large range of off-nadir angles.
Field-Based Plot Extraction Using UAV RGB Images
Unmanned Aerial Vehicles (UAVs) have become popular for use in plant phenotyping of field based crops, such as maize and sorghum, due to their ability to acquire high resolution data over field trials.
Panicle Counting in UAV Images For Estimating Flowering Time in Sorghum
Flowering time (time to flower after planting) is important for estimating plant development and grain yield for many crops including sorghum.
RCNN-SliceNet: A Slice and Cluster Approach for Nuclei Centroid Detection in Three-Dimensional Fluorescence Microscopy Images
Robust and accurate nuclei centroid detection is important for the understanding of biological structures in fluorescence microscopy images.
Image-Based Plant Wilting Estimation
In particular, we want to design a metric for wilting based on images acquired of the plant.
Manipulation Detection in Satellite Images Using Vision Transformer
A growing number of commercial satellite companies provide easily accessible satellite imagery.
Forensic Analysis of Video Files Using Metadata
Such manipulations can leave traces in the metadata embedded in video files.
Generative Autoregressive Ensembles for Satellite Imagery Manipulation Detection
Satellite imagery is becoming increasingly accessible due to the growing number of orbiting commercial satellites.
FaR-GAN for One-Shot Face Reenactment
In this paper, we present a one-shot face reenactment model, FaR-GAN, that takes only one face image of any given source identity and a target expression as input, and then produces a face image of the same source identity but with the target expression.
Deep Transfer Learning For Plant Center Localization
In this paper, we propose a method for estimating plant centers by transferring an existing model to a new scenario using limited ground truth data.
Deepfakes Detection with Automatic Face Weighting
Altered and manipulated multimedia is increasingly present and widely distributed via social media platforms.
An Attention-Based System for Damage Assessment Using Satellite Imagery
When disaster strikes, accurate situational information and a fast, effective response are critical to save lives.
Forensic Scanner Identification Using Machine Learning
Due to the increasing availability and functionality of image editing tools, many forensic techniques such as digital image authentication, source identification and tamper detection are important for forensic image analysis.
Plant Stem Segmentation Using Fast Ground Truth Generation
Analysis of the shape of plants can potentially be used to accurately quantify the degree of wilting.
Multi-View Matching Network for 6D Pose Estimation
Applications that interact with the real world such as augmented reality or robot manipulation require a good understanding of the location and pose of the surrounding objects.
Center-Extraction-Based Three Dimensional Nuclei Instance Segmentation of Fluorescence Microscopy Images
Fluorescence microscopy is an essential tool for the analysis of 3D subcellular structures in tissue.
A Utility-Preserving GAN for Face Obscuration
From TV news to Google StreetView, face obscuration has been used for privacy protection.
We Need No Pixels: Video Manipulation Detection Using Stream Descriptors
Manipulating video content is easier than ever.
Robustness Analysis of Face Obscuration
Face obscuration is needed by law enforcement and mass media outlets to guarantee privacy.
Three dimensional blind image deconvolution for fluorescence microscopy using generative adversarial networks
Due to image blurring image deconvolution is often used for studying biological structures in fluorescence microscopy.
A Hand-Held Multimedia Translation and Interpretation System with Application to Diet Management
The memory requirements of the application, including the database of images, are also well within the limits of the device.
Estimating Phenotypic Traits From UAV Based RGB Imagery
Use of imagery is becoming popular for phenotyping.
Locating Objects Without Bounding Boxes
In these networks, the training procedure usually requires providing bounding boxes or the maximum number of expected objects.
Ranked #1 on
Object Localization
on Mall
A Counter-Forensic Method for CNN-Based Camera Model Identification
We examine in this paper the problem of identifying the camera model or type that was used to take an image and that can be spoofed.
Reliability Map Estimation For CNN-Based Camera Model Attribution
This refers to the problem of detecting which camera model has been used to acquire an image by only exploiting pixel information.
Single-View Food Portion Estimation: Learning Image-to-Energy Mappings Using Generative Adversarial Networks
We can then estimate food energy based on the energy distribution.
Satellite Image Forgery Detection and Localization Using GAN and One-Class Classifier
Specifically, we consider the scenario in which pixels within a region of a satellite image are replaced to add or remove an object from the scene.
Tubule segmentation of fluorescence microscopy images based on convolutional neural networks with inhomogeneity correction
The segmentation results of the proposed method are visually and numerically compared with other microscopy segmentation methods.
Texture Segmentation Based Video Compression Using Convolutional Neural Networks
There has been a growing interest in using different approaches to improve the coding efficiency of modern video codec in recent years as demand for web-based video consumption increases.
Three Dimensional Fluorescence Microscopy Image Synthesis and Segmentation
Advances in fluorescence microscopy enable acquisition of 3D image volumes with better image quality and deeper penetration into tissue.
A Two Stream Siamese Convolutional Neural Network for Person Re-Identification
Person re-identification is an important task in video surveillance systems.
First Steps Toward Camera Model Identification with Convolutional Neural Networks
Detecting the camera model used to shoot a picture enables to solve a wide series of forensic problems, from copyright infringement to ownership attribution.
