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Author

C. Kyrkou

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Conference Sep 2026

RAPTOR: Robustness Assessment of Patch Transfer and Operational Risk in Edge Object Detectors for Mobile Robots

Autonomous mobile robots rely on object detection for navigation and safety, yet edge-deployed detectors remain vulnerable to adversarial patches under limited compute, power, and latency constraints. This paper presents a deploymentoriented robustness benchmark using nine CARLA-GeAR billboard scenarios and five detect...

Lefkios Mavroudi, Antonis D. Savva, C. Kyrkou et al. · 0 citations
Conference Open access Aug 2026

How Sampling Strategy Affects Imbalance Mitigation in LiDAR Segmentation: A Study of Structured vs. Random Point-Based Architectures

Class imbalance in LiDAR point clouds poses challenges for semantic segmentation in autonomous navigation and urban mapping. While 2D vision has numerous mitigation techniques, their effectiveness in 3D remains unclear. We benchmark six reweighting schemes and five imbalance-aware losses across three datasets (DALES, S...

Antonis D. Savva, C. Kyrkou, T. Theocharides · 0 citations
Conference Open access Jul 2026

Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance

This work provides the first mechanistic explanation for why techniques proven effective in 2D do not readily transfer to point-based 3D point cloud segmentation, validated across two representative architectures.

Antonis D. Savva, C. Kyrkou, T. Theocharides · 0 citations
Jul 2026

ChACo: Channel-Wise Adaptive Competitive Layer-Wise Learning.

Experiments show that ChACo improves over prior local-learning baselines, transfers across WAN and ResNet convolutional architectures, and narrows the gap to matched backpropagation (BP) references, while end-to-end BP remains stronger in the most depth-dependent settings.

A. Papachristodoulou, C. Kyrkou, S. Timotheou et al. · 0 citations

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