Deep learning-based person identification and verification systems have
...
Exposure to disturbing imagery can significantly impact individuals,
esp...
This work introduces a dataset, benchmark, and challenge for the problem...
Bias in computer vision systems can perpetuate or even amplify discrimin...
Multimedia content has become ubiquitous on social media platforms, lead...
New advancements for the detection of synthetic images are critical for
...
The recent wave of AI research has enabled a new brand of synthetic medi...
We introduce S^2VS, a video similarity learning approach with
self-super...
Hate speech is a societal problem that has significantly grown through t...
Graph filters that transform prior node values to posterior scores via e...
With the expansion of social media and the increasing dissemination of
m...
Being able to forecast the popularity of new garment designs is very
imp...
In this paper, we address the problem of image splicing localization wit...
The sheer volume of online user-generated content has rendered content
m...
In this paper, we introduce MINTIME, a video deepfake detection approach...
Class imbalance poses a major challenge for machine learning as most
sup...
For fashion outfits to be considered aesthetically pleasing, the garment...
Image memes and specifically their widely-known variation image macros, ...
Deploying deep neural networks on hardware with limited resources, such ...
Enabled by recent improvements in generation methodologies, DeepFakes ha...
Estimating the preferences of consumers is of utmost importance for the
...
In this work, we aim to classify nodes of unstructured peer-to-peer netw...
Reliable image geolocation is crucial for several applications, ranging ...
We introduce pygrank, an open source Python package to define, run and
e...
Computer Vision (CV) has achieved remarkable results, outperforming huma...
In this paper, we address the problem of high performance and computatio...
In this paper, we address the problem of global-scale image geolocation,...
In this work, we present a deep learning-based approach for image tamper...
In this work, we address the problem of audio-based near-duplicate video...
Multivariate time series forecasting is of great importance to many
scie...
Recent advancements in content generation technologies (also widely know...
AI-based systems are widely employed nowadays to make decisions that hav...
In this paper we introduce ViSiL, a Video Similarity Learning architectu...
This paper introduces the problem of Fine-grained Incident Video Retriev...
The emergence of social media as news sources has led to the rise of
cli...
In accessibility tests for digital preservation, over time we experience...