CVI2

The Computer Vision, Imaging & Machine Intelligence Research Group (CVI2) is headed by Dr Djamila Aouada. The group carries out research on computer vision, image processing, image analysis, visual data understanding, and machine learning. A strong focus is given to developing state-of-the-art and innovative algorithms for various tasks such as data enhancement, data fusion, filtering, registration, estimation, detection, classification, recognition, segmentation, and deformation, with extensive use and development of deep learning approaches. Data of interest cover different modalities from 2D, RGB-D, infrared, Lidar, to dense 3D. Past and current specific research topics are on human body modelling including shape and pose; optimization and compression of very deep neural networks for image classification; cost-sensitive classification for fraud detection; 3D motion analysis for action recognition and action detection; multi-sensor fusion for robust sensing; face modelling for expression recognition and person identification. These imaging and vision activities are supported by the SnT Computer Vision Lab – a dedicated well-equipped laboratory located in Maison du Nombre (MNO), Campus Belval. In addition, large scale data collection campaigns are regularly organized by the team for the needs of specific projects.

All research activities are driven by real-world applications with a focus on one of the following domains: (1) Computer-Aided Design (CAD), (2) Healthcare, (3) Satellite and space, (4) Surveillance and security, (5) Services, (6) Education and public outreach.

This website is dedicated to announcing our research activities and collected datasets by our CVI2 team in collaboration with our industrial, medical and academic partners. Our datasets are meant to be different with very rich features. Please keep track of our datasets to request them.

The SnT CVI2 team hopes that the research outcomes are beneficial for the entire research community. Feel free to contact us with any questions, we are open to discussing common research proposals.

For more information, visit the group page.