14 papers
Adversarially Guided Diffusion for LiDAR Range Image Synthesis
Stavros Bouras, Antonios Makris, Alexandros Gkillas +2
LiDAR semantic segmentation is a key perception task in autonomous driving, where false predictions can affect downstream planning and safety-critical decision-making. Although adv…
A Comparative Analysis on the Performance of Upper Confidence Bound Algorithms in Adaptive Deep Neural Networks
Grigorios Papanikolaou, Ioannis Kontopoulos, Konstantinos Tserpes
Edge computing environments impose strict constraints on energy consumption and latency, making the deployment of deep neural networks a significant challenge. Therefore, smart and…
Video Reconstruction using Diffusion-based Image-to-Video Generation with Trajectory Guidance
Stelio Bompai, Ioannis Kontopoulos, Giannis Spiliopoulos +2
This paper addresses the problem of reconstructing missing or dropped frames in top-down drone video of autonomous surface vehicles performing structured maritime manoeuvres. We pr…
Enabling Adversarial Robustness in AI Models through Kubeflow MLOps
Stavros Bouras, Ioannis Korontanis, Antonios Makris +1
AI models are increasingly deployed in cloud-native environments to support scalable and automated services. However, while platforms such as Kubernetes provide strong infrastructu…
Privacy Evaluation of Generative Models for Trajectory Generation
Stavros Bouras, Ioannis Kontopoulos, Chiara Pugliese +5
Trajectory data is fundamental to modern urban intelligence, yet its sensitivity raises significant privacy concerns. Generative models such as Generative Adversarial Networks, Var…
Trajectory-Aware Adaptive Inference in Object Detection Models
Grigorios Papanikolaou, Ioannis Kontopoulos, Giannis Spiliopoulos +2
The increasing integration of sensors in autonomous maritime navigation has led to large-scale multimodal datasets, raising challenges in achieving efficient real-time perception.…