43 citations · 221 across the 18 of their papers we have counts for
20 papers
Hybrid Distillation with CoT Guidance for Edge-Drone Control Code Generation
Yizhan Feng, Hichem Snoussi, Yuhang Wang +3
With large language models demonstrating significant potential in code generation tasks, their application to onboard control of resource-constrained Unmanned Aerial Vehicles has e…
Edge-Optimized Multimodal Learning for UAV Video Understanding via BLIP-2
Yizhan Feng, Hichem Snoussi, Jing Teng +4
The demand for real-time visual understanding and interaction in complex scenarios is increasingly critical for unmanned aerial vehicles. However, a significant challenge arises fr…
Large Language Models to Enhance Multi-task Drone Operations in Simulated Environments
Yizhan Feng, Hichem Snoussi, Jing Teng +2
Benefiting from the rapid advancements in large language models (LLMs), human-drone interaction has reached unprecedented opportunities. In this paper, we propose a method that int…
CSE: Surface Anomaly Detection with Contrastively Selected Embedding
Simon Thomine, Hichem Snoussi
Detecting surface anomalies of industrial materials poses a significant challenge within a myriad of industrial manufacturing processes. In recent times, various methodologies have…
Distillation-based fabric anomaly detection
Simon Thomine, Hichem Snoussi
Unsupervised texture anomaly detection has been a concerning topic in a vast amount of industrial processes. Patterned textures inspection, particularly in the context of fabric de…
FABLE : Fabric Anomaly Detection Automation Process
Simon Thomine, Hichem Snoussi, Mahmoud Soua
Unsupervised anomaly in industry has been a concerning topic and a stepping stone for high performance industrial automation process. The vast majority of industry-oriented methods…