I am a Ph.D. student in computer vision and deep learning at the University of Technology of Troyes. My current research focuses on industrial unsupervised anomaly detection, particularly in textures. In addition to my academic pursuits, I am actively working towards making AI accessible to a wider audience through personal projects.
🤗This project is a French-language course designed to teach deep learning from scratch, requiring only basic Python and mathematical knowledge. It aims to provide a comprehensive introduction to the core principles of deep learning, all within a single GitHub repository regrouping various notebook-based lessons. I believe that making AI accessible to a wider audience is crucial in today's world, given the growing presence of AI in our daily lives.
This project introduce a new library dessigned to generate synthetic defects based on proposed methods from the litterature.
This project regroups advanced methods utilizing knowledge distillation for unsupervised anomaly detection.
Implementation of the paper "Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection"
Thomine, Simon and Hichem Snoussi. "CSE: Surface Anomaly Detection with Contrastively Selected Embedding." 2024 International Conference on Computer Vision Theory and Applications (VISAPP 2024). 2024.
Thomine, Simon, and Hichem Snoussi. "Distillation-based fabric anomaly detection." Textile Research Journal 94.5-6 (2024): 552-565.
Thomine, Simon and Snoussi, Hichem, "Dual Model Knowledge Distillation for Industrial Anomaly Detection."" Pattern Analysis and Applications (accepted preprint)
Thomine, Simon, Hichem Snoussi, and Mahmoud Soua. "FABLE: Fabric Anomaly Detection Automation Process." 2023 International Conference on Control, Automation and Diagnosis (ICCAD). IEEE, 2023.
Thomine, Simon, Hichem Snoussi, and Mahmoud Soua. "MixedTeacher: Knowledge Distillation for fast inference textural anomaly detection." 2023 International Conference on Computer Vision Theory and Applications (VISAPP 2023). 2023.
Convolutional Neural Networks, Knowledge Distillation, Vision Transformer, Object Tracking, LLM/VLM, Application Development, Classical Computer Vision
Python, C++, Pytorch, Transformers, Torchvision, OpenCV, Numpy, Pillow, Timm, Scikit-learn, Scikit-image, QT, TensorRT, Git, Docker
Several teaching experiences at University of Technology of Troyes and ESTP.
French (fluent), English (proficient), Spanish (basic)
🏫 University of Technology of Troyes
