6 citations · 6 across the 7 of their papers we have counts for
9 papers
Visual Place Recognition Using Rate-Encoded Spiking Neural Networks with Discrete STDP Learning
Altzi Tsanko, Oikonomou Katerina Maria, Antonios Gasteratos
Spiking Neural Networks (SNNs) trained through unsupervised Spike-Timing-Dependent Plasticity (STDP) have been explored as solutions to visual loop closure problems, driven by the…
Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT
Nicholas Santavas, Kareem Eissa, Patrycja Cieplicka +6
Enterprise LLM deployment faces a critical scalability challenge: organizations must optimize models systematically to scale AI initiatives within constrained compute budgets, yet…
Visual Place Recognition for Large-Scale UAV Applications
Ioannis Tsampikos Papapetros, Ioannis Kansizoglou, Antonios Gasteratos
Visual Place Recognition (vPR) plays a crucial role in Unmanned Aerial Vehicle (UAV) navigation, enabling robust localization across diverse environments. Despite significant advan…
UAV Object Detection and Positioning in a Mining Industrial Metaverse with Custom Geo-Referenced Data
Vasiliki Balaska, Ioannis Tsampikos Papapetros, Katerina Maria Oikonomou +2
The mining sector increasingly adopts digital tools to improve operational efficiency, safety, and data-driven decision-making. One of the key challenges remains the reliable acqui…
Spiking Neural Network Feature Discrimination Boosts Modality Fusion
Katerina Maria Oikonomou, Ioannis Kansizoglou, Antonios Gasteratos
Feature discrimination is a crucial aspect of neural network design, as it directly impacts the network's ability to distinguish between classes and generalize across diverse datas…
Future Aspects in Human Action Recognition: Exploring Emerging Techniques and Ethical Influences
Antonios Gasteratos, Stavros N. Moutsis, Konstantinos A. Tsintotas +1
Visual-based human action recognition can be found in various application fields, e.g., surveillance systems, sports analytics, medical assistive technologies, or human-robot inter…
Spiking neural networks: Towards bio-inspired multimodal perception in robotics
Katerina Maria Oikonomou, Vasiliki Balaska, Konstantinos A. Tsintotas +3
Spiking neural networks (SNNs) have captured apparent interest over the recent years, stemming from neuroscience and reaching the field of artificial intelligence. However, due to…
Exploring Emerging Trends and Research Opportunities in Visual Place Recognition
Antonios Gasteratos, Konstantinos A. Tsintotas, Tobias Fischer +2
Visual-based recognition, e.g., image classification, object detection, etc., is a long-standing challenge in computer vision and robotics communities. Concerning the roboticists,…
Fast and Incremental Loop Closure Detection with Deep Features and Proximity Graphs
Shan An, Haogang Zhu, Dong Wei +2
In recent years, the robotics community has extensively examined methods concerning the place recognition task within the scope of simultaneous localization and mapping application…