59 citations · 282 across the 64 of their papers we have counts for
13 papers · 1 filter
Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation
Mehdi Rafiei, Alexandros Iosifidis
In anomaly detection, identification of anomalies across diverse product categories is a complex task. This paper introduces a new model by including class discriminative propertie…
On Pixel-level Performance Assessment in Anomaly Detection
Mehdi Rafiei, Toby P. Breckon, Alexandros Iosifidis
Anomaly detection methods have demonstrated remarkable success across various applications. However, assessing their performance, particularly at the pixel-level, presents a comple…
Variational Inference for GARCH-family Models
Martin Magris, Alexandros Iosifidis
The Bayesian estimation of GARCH-family models has been typically addressed through Monte Carlo sampling. Variational Inference is gaining popularity and attention as a robust appr…
Cryptocurrency Portfolio Optimization by Neural Networks
Quoc Minh Nguyen, Dat Thanh Tran, Juho Kanniainen +2
Many cryptocurrency brokers nowadays offer a variety of derivative assets that allow traders to perform hedging or speculation. This paper proposes an effective algorithm based on…
Curiosity-Driven Reinforcement Learning based Low-Level Flight Control
Amir Ramezani Dooraki, Alexandros Iosifidis
Curiosity is one of the main motives in many of the natural creatures with measurable levels of intelligence for exploration and, as a result, more efficient learning. It makes it…
Audio-Visual Dataset and Method for Anomaly Detection in Traffic Videos
Błażej Leporowski, Arian Bakhtiarnia, Nicole Bonnici +4
We introduce the first audio-visual dataset for traffic anomaly detection taken from real-world scenes, called MAVAD, with a diverse range of weather and illumination conditions. I…
Spatiotemporal Attention-based Semantic Compression for Real-time Video Recognition
Nan Li, Mehdi Bennis, Alexandros Iosifidis +1
This paper studies the computational offloading of video action recognition in edge computing. To achieve effective semantic information extraction and compression, following seman…
Accurate Gigapixel Crowd Counting by Iterative Zooming and Refinement
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
The increasing prevalence of gigapixel resolutions has presented new challenges for crowd counting. Such resolutions are far beyond the memory and computation limits of current GPU…
Online Non-Destructive Moisture Content Estimation of Filter Media During Drying Using Artificial Neural Networks
Christian Remi Wewer, Alexandros Iosifidis
Moisture content (MC) estimation is important in the manufacturing process of drying bulky filter media products as it is the prerequisite for drying optimization. In this study, a…
Uncertainty-Aware AB3DMOT by Variational 3D Object Detection
Illia Oleksiienko, Alexandros Iosifidis
Autonomous driving needs to rely on high-quality 3D object detection to ensure safe navigation in the world. Uncertainty estimation is an effective tool to provide statistically ac…
Adaptive Parameterization of Deep Learning Models for Federated Learning
Morten From Elvebakken, Alexandros Iosifidis, Lukas Esterle
Federated Learning offers a way to train deep neural networks in a distributed fashion. While this addresses limitations related to distributed data, it incurs a communication over…
PromptMix: Text-to-image diffusion models enhance the performance of lightweight networks
Arian Bakhtiarnia, Qi Zhang, Alexandros Iosifidis
Many deep learning tasks require annotations that are too time consuming for human operators, resulting in small dataset sizes. This is especially true for dense regression problem…
Computer Vision on X-ray Data in Industrial Production and Security Applications: A Comprehensive Survey
Mehdi Rafiei, Jenni Raitoharju, Alexandros Iosifidis
X-ray imaging technology has been used for decades in clinical tasks to reveal the internal condition of different organs, and in recent years, it has become more common in other a…