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Found 14 papers, 7 papers with code
Back to the Future: GNN-based NO$_2$ Forecasting via Future Covariates
Remarkably, we find that conditioning on future weather information has a greater impact than considering past traffic conditions.
Super-Resolution of BVOC Emission Maps Via Domain Adaptation
In our work, we aim at super-resolving low resolution emission maps derived from satellite observations by leveraging the information of emission maps obtained through numerical simulations.
Multi-BVOC Super-Resolution Exploiting Compounds Inter-Connection
In this work, we propose a strategy to super-resolve coarse BVOC emission maps by simultaneously exploiting the contributions of different compounds.
Super-Resolution of BVOC Maps by Adapting Deep Learning Methods
Biogenic Volatile Organic Compounds (BVOCs) play a critical role in biosphere-atmosphere interactions, being a key factor in the physical and chemical properties of the atmosphere and climate.
Detecting GAN-generated Images by Orthogonal Training of Multiple CNNs
For this reason, detecting if an image is an actual photograph or has been synthetically generated is becoming an urgent necessity.
Amplitude SAR Imagery Splicing Localization
Synthetic Aperture Radar (SAR) images are a valuable asset for a wide variety of tasks.
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.
DIPPAS: A Deep Image Prior PRNU Anonymization Scheme
A typical trace exploited for source device identification is the Photo Response Non-Uniformity (PRNU), a noise pattern left by the device on the acquired images.
Training CNNs in Presence of JPEG Compression: Multimedia Forensics vs Computer Vision
In this work, we focus on the effect that JPEG has on CNN training considering different computer vision and forensic image classification problems.
A Modified Fourier-Mellin Approach for Source Device Identification on Stabilized Videos
To decide whether a digital video has been captured by a given device, multimedia forensic tools usually exploit characteristic noise traces left by the camera sensor on the acquired frames.
Video Face Manipulation Detection Through Ensemble of CNNs
In this paper, we tackle the problem of face manipulation detection in video sequences targeting modern facial manipulation techniques.
Ranked #1 on
DeepFake Detection
on FaceForensics++
(using extra training data)
CNN-based fast source device identification
Source identification is an important topic in image forensics, since it allows to trace back the origin of an image.
Interpolation and Denoising of Seismic Data using Convolutional Neural Networks
Seismic data processing algorithms greatly benefit from regularly sampled and reliable data.
Facing Device Attribution Problem for Stabilized Video Sequences
Specifically, we propose: (i) a strategy to extract the characteristic fingerprint of a device, starting from either a set of images or stabilized video sequences; (ii) a strategy to match a stabilized video sequence with a given fingerprint in order to solve the device attribution problem.
Multimedia
