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06/21/2023
Self-Distilled Masked Auto-Encoders are Efficient Video Anomaly Detectors
We propose an efficient abnormal event detection model based on a lightw...
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07/07/2022
VeriDark: A Large-Scale Benchmark for Authorship Verification on the Dark Web
The DarkWeb represents a hotbed for illicit activity, where users commun...
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01/28/2022
Self-paced learning to improve text row detection in historical documents with missing labels
An important preliminary step of optical character recognition systems i...
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12/09/2021
Transferring BERT-like Transformers' Knowledge for Authorship Verification
The task of identifying the author of a text spans several decades and w...
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09/03/2021
A realistic approach to generate masked faces applied on two novel masked face recognition data sets
The COVID-19 pandemic raises the problem of adapting face recognition sy...
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07/12/2021
EvoBA: An Evolution Strategy as a Strong Baseline forBlack-Box Adversarial Attacks
Recent work has shown how easily white-box adversarial attacks can be ap...
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11/15/2020
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Anomaly detection in video is a challenging computer vision problem. Due...
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10/21/2020
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
We study the task of replicating the functionality of black-box neural m...
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08/27/2020
A Scene-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Abnormal event detection in video is a complex computer vision problem t...
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06/06/2020
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI
With the growing complexity of deep learning methods adopted in practica...
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04/18/2020
Self-Supervised Representation Learning on Document Images
This work analyses the impact of self-supervised pre-training on documen...
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04/29/2018
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition
We present an approach that combines automatic features learned by convo...
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01/12/2018
Detecting abnormal events in video using Narrowed Motion Clusters
We formulate the abnormal event detection problem as an outlier detectio...
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07/26/2017
Can string kernels pass the test of time in Native Language Identification?
We describe a machine learning approach for the 2017 shared task on Nati...
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05/23/2017
How hard can it be? Estimating the difficulty of visual search in an image
We address the problem of estimating image difficulty defined as the hum...
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05/23/2017
Unmasking the abnormal events in video
We propose a novel framework for abnormal event detection in video that ...
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07/01/2013