333 citations · 674 across the 15 of their papers we have counts for
5 papers · 1 filter
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu +3
Anomaly detection in video is a challenging computer vision problem. Due to the lack of anomalous events at training time, anomaly detection requires the design of learning methods…
Black-Box Ripper: Copying black-box models using generative evolutionary algorithms
Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu +1
We study the task of replicating the functionality of black-box neural models, for which we only know the output class probabilities provided for a set of input images. We assume b…
A Background-Agnostic Framework with Adversarial Training for Abnormal Event Detection in Video
Mariana-Iuliana Georgescu, Radu Tudor Ionescu, Fahad Shahbaz Khan +2
Abnormal event detection in video is a complex computer vision problem that has attracted significant attention in recent years. The complexity of the task arises from the commonly…
A Generic and Model-Agnostic Exemplar Synthetization Framework for Explainable AI
Antonio Barbalau, Adrian Cosma, Radu Tudor Ionescu +1
With the growing complexity of deep learning methods adopted in practical applications, there is an increasing and stringent need to explain and interpret the decisions of such met…
Self-Supervised Representation Learning on Document Images
Adrian Cosma, Mihai Ghidoveanu, Michael Panaitescu-Liess +1
This work analyses the impact of self-supervised pre-training on document images in the context of document image classification. While previous approaches explore the effect of se…