Matthieu Cord

I am Professor at Sorbonne University, (ex UPMC, ex Paris 6, ex …) Researcher in the MLIA team of the LIP6 lab , IUF junior 2009.

Scientific advisor at the French National Research Agency ANR for Artificial Intelligence, previously project manager at CNRS (INS2I).

My research interests include: Image Processing, Computer Vision, Deep Learning, Pattern Recognition, Machine Learning for Multimedia and 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

2018

2017

  • Dec 19 PhD defense of R. Rezende with P. Perez, F. Perronin, J. Ponce, F. Bach, F. Jurie, M. Cord (Pres)
  • Nov 20 Talk at Deep Learning UPMC
  • Nov 09 VQA Talk at INRIA Sophia
  • Nov 09 PhD defense of M. Koperski with JM Odobez, F. Precioso, F. Bremond, M. Cord (rev), L. Sigal, F. Gianpiero
  • Nov 02 and 03 deep learning course at Institut d’automne de l’IA, Lyon
  • Oct 06 PhD defense of E. Oyallon with P. Perez, F. Perronin, S. Mallat, I. Laptev, N. Paragios, M. Cord (Pres)
  • Oct Talk on Visual Question Answering VQA in FranceIsIA event, Paris
  • Sept 29 PhD defense of my Student X. Wang with F. Precioso, N. Thome, M. Cord, P. Le Callet, C. Achard, C. Wang, PH. Gosselin
  • Sept 20 PhD defense of my Student T. Durand with F. Bach, C. Schmid, N. Thome, M. Cord, P. Perez, A. Rakotomamonjy, V. Serfati (Invited)
  • Sept BMVC 2017 Best Science paper Award for our paper DEFORMABLE PART-BASED FULLY CONVOLUTIONAL NETWORK FOR OBJECT DETECTION
  • July ICCV 2017 paper on Tensor decomposition for VQA task accepted
  • July BMVC 2017 paper deep architecture for detection accepted
  • July CVPR WILDCAT paper presentation, VQA workshop (Challenge VQA2)
  • June Invited speaker, deep learning session in Big data advanced school, San Carlos, Brazil
  • Feb Talk on Global average pooling in deep ConvNets at THOTH INRIA grenoble
  • Feb, 06: PhD def. of M. Paulin with J. Sivic, V. Lepetit, C. Wolf, F. Perronnin, J. Mairal, C. Schmid, Z. Harchaoui, M Cord (Reviewer)
  • Jan, 23: PhD def. of P. Kulkarni with P. Perez, F. Jurie, S. Canu, J. Zepeda, J. Verbeek, M Cord (Reviewer)

Recent publications

Finding beans in burgers: Deep semantic-visual embedding with localization

M. Engilberge, L. Chevallier, P. Pérez, M. Cord

CVPR (2018)

Paper

Manifold Learning in Quotient Spaces

E. Mehr, N. Thome, V. Guitteny, M. Cord

CVPR (2018)

Exploiting Negative Evidence for Deep Latent Structured Models

T. Durand, N. Thome, M. Cord

IEEE Transactions on Pattern Analysis and Machine Intelligence (2018)

Paper

WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation

T. Durand, T. Mordan, N. Thome, M. Cord

CVPR (2017)

Paper Project page Supplementary

@inproceedings{Durand_WILDCAT_CVPR_2017,
author = {Durand, Thibaut and Mordan, Taylor and Thome, Nicolas and Cord, Matthieu},
title = {{WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation}},
booktitle = {The IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
year = {2017}
}

Deformable Part-based Fully Convolutional Network for Object Detection

T. Mordan, N. Thome, M. Cord, G. Henaff

BMVC, (Best Paper) (2017)

Paper

MUTAN: Multimodal Tucker Fusion for Visual Question Answering

H. Ben-younes, R. Cadene, M. Cord, N. Thome

ICCV, (on ArXiv) (2017)

Paper Project page

Learning a Distance Metric from Relative Comparisons between Quadruplets of Images

M.T. Law, N. Thome, M. Cord

IJCV International Journal of Computer Vision (2016)

WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks

T. Durand, N. Thome, M. Cord

CVPR (2016)

Paper

Closed-Form Training of Mahalanobis Distance for Supervised Clustering

M.T. Law, Y Yu, M. Cord, E.P Xing

CVPR (oral) (2016)

Paper

MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking

T. Durand, N. Thome, M. Cord

ICCV (2015)

Paper

Recipe Recognition with Large Multimodal Food Dataset

X. Wang, D. Kumar, N. Thome, M. Cord, F. Precioso

Cooking and Eating Activities in IEEE ICME (2015)

Paper

See all my publications

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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