2 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
Position: Let's Strengthen Verifiability If We Can't Enforce Reproducibility
Samet Hicsonmez, Nermin Samet, Renaud Marlet
In the field of Machine Learning, many papers contain empirical results supporting claimed statements or illustrating the performance of a proposed method. However, most practition…
ASTER: Latent Pseudo-Anomaly Generation for Unsupervised Time-Series Anomaly Detection
Romain Hermary, Samet Hicsonmez, Dan Pineau +2
Time-series anomaly detection (TSAD) is critical in domains such as industrial monitoring, healthcare, and cybersecurity, but it remains challenging due to rare and heterogeneous a…
Annotation Free Spacecraft Detection and Segmentation using Vision Language Models
Samet Hicsonmez, Jose Sosa, Dan Pineau +4
Vision Language Models (VLMs) have demonstrated remarkable performance in open-world zero-shot visual recognition. However, their potential in space-related applications remains la…
Training Free Zero-Shot Visual Anomaly Localization via Diffusion Inversion
Samet Hicsonmez, Abd El Rahman Shabayek, Djamila Aouada
Zero-Shot image Anomaly Detection (ZSAD) aims to detect and localise anomalies without access to any normal training samples of the target data. While recent ZSAD approaches levera…