Areas of Expertise
My research focuses on computer vision, machine learning applied to imaging, and pattern recognition, with a focus on applications in biomedical imaging and environmental analysis.
Description
My research focuses on areas of artificial intelligence and image analysis, with a particular interest in discriminative feature extraction and tailored augmentation of under-represented data, in order to design robust learning models for decision support.
This work is part of a cross-cutting approach dedicated to the analysis of complex and real-world visual data, with applications notably in medical image interpretation for diagnostic support, as well as in drone image analysis for the understanding and assessment of disaster situations.
In particular, since 2025 I have initiated and co-led the GT-I2MDP working group (Multimodal Image and AI for the Diagnosis of Pulmonary Diseases) within the GDR IASIS, dedicated to structuring a scientific community around the contribution of artificial intelligence and image analysis to decision support in the diagnosis of pulmonary diseases.
Publications
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Analyse et gestion de l’occupation de places de stationnement par vision artificielle (2017) Conference paperEGC 2017
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International Journal of Sensors, Wireless Communications and Control
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Design, Implementation and Simulation of an Experimental Processing Architecture for Enhancing Real-time Video Services by Combining VANET, Cloud Computing System and Onboard Navigation System (2015) Conference paper5th International Conference on Pervasive and Embedded Computing and Communication Systems
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Recovering quasi-real occlusion-free textures for facade models by exploiting fusion of image and laser street data and image inpainting (2012) Conference paper2012 13th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS)
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Generating occlusion-free textures for virtual 3D model of urban facades by fusing image and laser street data (2012) Conference paper2012 IEEE Virtual Reality (VR)