Matthieu Cord

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

Researcher in the MLIA team (on the move to join ISIR)

Part-time principal scientist at valeo.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


2 papers accepted at NeurIPS 2021 on Data-Free Compression of Deep Neural Networks and on Efficient Black-box Explanations for deep nets!
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

Sept. 2020: starting of my AI chair 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)
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 …

2020 main publications:

2 ECCV papers accepted on PODNet incremental learning and Knowledge distillation
1 CVPR paper accepted on self learning: Learning Representations by Predicting Bags of Visual Words
1 PR Journal paper on semantic segmentation SEMEDA
1 ICASSP paper on GAN: This dataset does not exist: training models from generated images
1 AAAI paper accepted on our GAN strategy for Cross-Channel Image Completion

2019 main publications:

4 NeurIPS (NIPS) – Bias in VQA, zero-Shot Segmentation, Failure Detection, Riemannian NNets
4 ICCV – UDA, Face alignment, Few-shot, 3D manifold learning
3 CVPR – SoDeep, Advent and MUREL
1 AAAI – Tensor decomposition
and others …

Participation of PhD defenses in 2020: Benjamin Piwowarski (HDR 10/23), Srijan Das (10/01), Thomas Lucas (09/25), Yifu Chen (09/09), Pierre Jacob (08/09), Rémi Cadene (07/08), Daniel Brooks (07/03), Mickaël Chen (07/02), Martin Engilberge (06/12), Adrien Poulenard (04/15)

My GANified Face (Thanks to Asya Grechka )

Contact

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