Matthieu Cord

Professor at Sorbonne University, (ex UPMC, ex Paris 6, ex …)

Researcher in the MLIA team at ISIR lab.

Part-time principal scientist at

AI chair holder: VISA-DEEP Towards visual reasoning in deep learning (selected as a chair of research and teaching in artificial intelligence in the National French Government program on AI)

IUF honorary member (Promo Junior 2009), Scientific advisor at the French National Research Agency ANR for Artificial Intelligence (2017-2018), Project manager at CNRS (INS2I) (2015-2017)

My research interests include: Image Processing, Computer Vision, Machine Learning , Deep Learning, Pattern Recognition, Artificial Intelligence, Multimedia, Computational Cooking.


Crazy about cooking, ready to cook anywhere, anything, even my computer. Currently cooking on ANR VISIIR PROJECT for Web food recipe filtering, and searching.

Try the demo food reco engine!

Recent news

June: our paper RED++: Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging published T-PAMI
May: 1 paper accepted to ICML 2022: Fishr: Invariant Gradient Variances for Out-of-distribution Generalization
April: 8 papers accepted to CVPR workshops! including T-FOOD Transformer for Cross-Modal Food Retrieval, Raising context awareness in motion forecasting, Embedding Arithmetic of Multimodal Queries for Image Retrieval, Towards efficient feature sharing in MIMO architectures, Dynamic Query Selection for Fast Visual Perceiver, Swapping Semantic Contents for Mixing Images,
Multi-Head Distillation for Continual Unsupervised Domain Adaptation in Semantic Segmentation

March: 2 papers accepted to CVPR 2022: 1- Flexible Semantic Image Translation, 2- Transformers for continual learning

Janv. 2022 MLIA is joigning the ISIR lab of Sorbonne University, it is a fantastic opportunuity with a lot of new challenges for us!
Dec.: NeurIPS 2021 with 2 papers presented on Data-Free Compression of Deep Neural Networks and on Efficient Black-box Explanations for deep nets!
1 paper presented at BMVC conf. on GAN editing
Our paper Detecting 32 Pedestrian Attributes for Autonomous Vehicles accepted for publication in IEEE Transactions on Intelligent Transportation Systems
Our paper zero-shot semantic segmentation with domain adaptation published in CVIU
Five papers accepted at ICCV 2021, Xtarget Domain adaptation, Bias and Xmodal shortcuts, CaiT Deeper with transformers, Deep ensembles with 1 net, Coarse labels but fine-grained classification – congrats to my students !!!!!
Our paper on transformers for Vision DeiT accepted to ICML 2021!
Our paper Insights from the Future for Continual Learning accepted at the CVPR workshop on continual learning in computer vision
Our paper Learning Reasoning Mechanisms for Unbiased Question-based Counting will be presented at the CVPR workshop on VQA
1 arXiv paper on Explainability of vision-based autonomous driving systems: Review and challenges
1 paper BEEF on XAI and Autonomous driving at the NeurIPS workshop: Machine Learning for Autonomous Driving

Google Scholar profile

2021 main publications:

2 NeurIPS
5 ICCV – domain adaptation, bias, Mixing and data augmentation, self supervised, transformers
1 ICML – data-efficient image transformers
3 CVPR – Continual Semantic Segmentation, Semantic editing GANs, and Self Supervised BoW
1 ICLR – diversity in deep ensembles
1 PAMI journal – confidence for deep
and others …

My GANified Face (Thanks to Asya Grechka )


(+33) 1 44 27 71 39
Fax: (+33) 1 44 27 70 00
LIP6 / Sorbonne University
4, place Jussieu
75005 Paris, France