معرفی
Matthieu Cord is a Professor at Sorbonne University and Scientific Director of valeo.ai, leading research in computer vision, deep learning, and computational cooking. He heads the MLIA team at ISIR Lab, focusing on multimodal models, transformers, and efficient architectures.
- Research areas include computer vision, large language models with vision, and AI-driven food analytics.
- Key projects: VISA-DEEP AI chair, Foundation VaViM models, and SmolVLA collaboration with Hugging Face.
His recent work examines scalable multimodal models, trajectory prediction, and diffusion-based segmentation, with studies on in-context learning and biased shortcut learning in visual question answering. Articles highlight DeiT variants, fishr for OoD generalization, and STEEX for counterfactual explanations.
- Scientific awards include IUF Honorary Membership (2009), BMVC 2017 Best Paper, and ICIP 2018 Best Paper.
As an advisor, he supervised PhD theses on topics like GAN editing, semantic segmentation, and multimodal retrieval. Current roles involve mentoring the 'Research Band' at MLIA and leading EU-funded initiatives like SCAPE. His work bridges theoretical AI exploration with practical applications in autonomous driving and food technology.
