Search Results - "Snoussi, Hichem"

A fast and robust convolutional neural network-based defect detection model in product quality control by Wang, Tian, Chen, Yang, Qiao, Meina, Snoussi, Hichem

“…The fast and robust automated quality visual inspection has received increasing attention in the product quality control for production efficiency. To…”
Get full text

Machine Learning Approaches for Thermoelectric Materials Research by Wang, Tian, Zhang, Cheng, Snoussi, Hichem, Zhang, Gang

“…Thermoelectric (TE) materials provide a solid‐state solution in waste heat recovery and refrigeration. During the past few decades, considerable effort has…”
Get full text

Detection of Abnormal Visual Events via Global Optical Flow Orientation Histogram by Tian Wang, Snoussi, Hichem

“…The aim of this paper is to detect abnormal events in video streams, a challenging but important subject in video surveillance. We propose a novel algorithm to…”
Get full text

Distillation-based fabric anomaly detection by Thomine, Simon, Snoussi, Hichem

“…Unsupervised texture anomaly detection has been a concerning topic in a vast number of industrial processes. Patterned textures inspection, particularly in the…”
Get full text

Data-driven prognostic method based on self-supervised learning approaches for fault detection by Wang, Tian, Qiao, Meina, Zhang, Mengyi, Yang, Yi, Snoussi, Hichem

“…As a part of prognostics and health management (PHM), fault detection has been used in many fields to improve the reliability of the system and reduce the…”
Get full text

Dual model knowledge distillation for industrial anomaly detection by Thomine, Simon, Snoussi, Hichem

“…Unsupervised anomaly detection holds significant importance in large-scale industrial manufacturing. Recent methods have capitalized on the benefits of…”
Get full text

Deep learning and handcrafted features for one-class anomaly detection in UAV video by Chriki, Amira, Touati, Haifa, Snoussi, Hichem, Kamoun, Farouk

“…Visual surveillance systems have recently captured the attention of the research community. Most of the proposed surveillance systems deal with stationary…”
Get full text

Detection of abnormal events via optical flow feature analysis by Wang, Tian, Snoussi, Hichem

“…In this paper, a novel algorithm is proposed to detect abnormal events in video streams. The algorithm is based on the histogram of the optical flow…”
Get full text

Digital twin improved via visual question answering for vision-language interactive mode in human–machine collaboration by Wang, Tian, Li, Jiakun, Kong, Zhaoning, Liu, Xin, Snoussi, Hichem, Lv, Hongqiang

“…•A digital twin model is proposed for human–machine collaboration.•Visual question answering technology is employed to enhance the digital twin.•A new VQA…”
Get full text

Internal Transfer Learning for Improving Performance in Human Action Recognition for Small Datasets by Tian Wang, Yang Chen, Mengyi Zhang, Jie Chen, Snoussi, Hichem

“…Human action recognition nowadays plays a key role in varieties of computer vision applications. Many computer vision methods focus on algorithms designing…”
Get full text

AED-Net: An Abnormal Event Detection Network by Wang, Tian, Miao, Zichen, Chen, Yuxin, Zhou, Yi, Shan, Guangcun, Snoussi, Hichem

“…•We propose a new self-supervised framework, AED-Net. This new network can be trained with unlabeled data and perform better by comparing with the…”
Get full text

Demystifying Defects: Federated Learning and Explainable AI for Semiconductor Fault Detection by Patel, Tanish, Murugan, Ramalingam, Yenduri, Gokul, Jhaveri, Rutvij H., Snoussi, Hichem, Gaber, Tarek

“…Semiconductor manufacturing, a critical driver of modern technology, involves intricate processes for fabricating integrated circuits on materials like…”
Get full text

Improved mean shift integrating texture and color features for robust real time object tracking by Bousetouane, Fouad, Dib, Lynda, Snoussi, Hichem

“…The subject of mean shift algorithm for tracking the location of an object using a color model has recently gained considerable interest. However, the use of a…”
Get full text

End-to-End Deep One-Class Learning for Anomaly Detection in UAV Video Stream by Hamdi, Slim, Bouindour, Samir, Snoussi, Hichem, Wang, Tian, Abid, Mohamed

“…In recent years, the use of drones for surveillance tasks has been on the rise worldwide. However, in the context of anomaly detection, only normal events are…”
Get full text

Online least squares one-class support vector machines-based abnormal visual event detection by Wang, Tian, Chen, Jie, Zhou, Yi, Snoussi, Hichem

“…The abnormal event detection problem is an important subject in real-time video surveillance. In this paper, we propose a novel online one-class classification…”
Get full text

An Extended List-Mode MLEM Algorithm for 3D Compton Image Reconstruction from Multi-View Data by Le, Nhan, Snoussi, Hichem, Hmissi, Zied, Iltis, Alain, Lebonvallet, Guillaume, Zeufack, Ghislain

“…The lack of parallax in the measurements is a big challenge in 3D image reconstruction for handheld Compton cameras. Our solution to this issue is to extend…”
Get full text

Object tracking using adaptive covariance descriptor and clustering-based model updating for visual surveillance by Qin, Lei, Snoussi, Hichem, Abdallah, Fahed

“…We propose a novel approach for tracking an arbitrary object in video sequences for visual surveillance. The first contribution of this work is an automatic…”
Get full text

An On-Line and Adaptive Method for Detecting Abnormal Events in Videos Using Spatio-Temporal ConvNet by Bouindour, Samir, Snoussi, Hichem, Hittawe, Mohamad, Tazi, Nacef, Wang, Tian

“…We address in this paper the problem of abnormal event detection in video-surveillance. In this context, we use only normal events as training samples. We…”
Get full text

Hierarchical graphical-based human pose estimation via local multi-resolution convolutional neural network by Zhu, Aichun, Wang, Tian, Snoussi, Hichem

“…This paper addresses the problems of the graphical-based human pose estimation in still images, including the diversity of appearances and confounding…”
Get full text

TASTA: Text‐Assisted Spatial and Temporal Attention Network for Video Question Answering by Wang, Tian, Hou, Boyao, Li, Jiakun, Shi, Peng, Zhang, Baochang, Snoussi, Hichem

“…Video question answering (VideoQA) is a typical task that integrates language and vision. The key for VideoQA is to extract relevant and effective visual…”
Get full text