Matthieu Cord

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

Researcher in the MLIA team of the LIP6 lab

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)

Part time senior scientist at valeo.ai

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

2019

3 CVPR SoDeep, Advent and MUREL accepted this year including 2 oral!

Feb

HdR defense of K. Bailly with L. Heutte, JM. Odobez, B. schuller, M. Chetouani, M. Cord (Pres), J. Crowley

Jan

Our PAMI,IJCV and Neurocomputing journal papers online in my publication page !
Our CVPR 2018 code on multimodal (text+im)embedding online

2018

Dec
Neurips presentation of our poster Revisiting Multi-Task Learning with ROCK
PhD defense of J. Ogier du Terrail with E. Fromont, S. Lefevre, F. Jurie, M. Cord (Pres), F. Oudyi
PhD defense of K. Blanc with F. Bremond, B. Merialdo, T. Menguy, N. Thome, M. Cord (Rev), D. Lingrand
PhD defense of M. Carvahlo Deep space representation with L. Soulier, E. Gaussier, S. Lefevre, F. Precioso, H. Leborgne, N. Thome, M. Cord (Supervisor)
Nov AAAI 2019: our paper BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection accepted!
PhD defense of T. Mordan Designing deep architectures for visual understanding with F. Perronnin, J. Sivic, A. Alahi, N. Neverova, N. Thome, M. Cord (Supervisor)
PhD defense of M. Blot Study on training methods and Generalization performances of deep learning with A. Rakotomamonjy, C. Wolf, E. Fromont, A. Bellet, L. Ralaivola, N. Thome, M. Cord (Supervisor)
Oct ICIP 2018: BEST PAPER AWARD for our paper SHADE: INFORMATION-BASED REGULARIZATION FOR DEEP LEARNING!
Sept NIPS 2018: our paper Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection accepted!
July ECCV 2018: our paper HybridNet: Classication and Reconstruction Cooperation for SSL accepted
June RFIAP conference: with 3 invited speakers: A. Alahi, Y. LeCun, Maja Pantic
PhD defense of H. Jain with E. Kijak, F. Jurie, M. Cord(R), F. Perronnin(R), P. Perez, C. Guillemot, R. Gribonval, H. Jégou
PhD defense of Y. Tamaazousti with I. Kokkinos, PH. Gosselin, C. Hudelot, H. Leborgne, M. Cord(P), P. Piantanida, F. Perronnin
May PhD defense of B. Moysset with E. Fromont, L. Heutte, C. Couprie, C. Wolf, C. Kermorvant, M. Cord (Pres)
April Our paper Cross-modal retrieval in the cooking context: Learning semantic text-image embeddings accepted as a full paper for oral presentation at the SIGIR 2018! completed with an ICDE 2018 workshop paper dedicated on computational cooking scenarios
April Entretien sur France Culture avec René Frydman
March 2 papers accepted at CVPR 2018!
March Our TNNLS paper SyMIL: MinMax Latent SVM for Weakly Labeled Data, with T. Durand and N. thome accepted!
Feb DeepVision Workshop in Vancouver
Jan PAMI paper on Negative Evidence for Deep Latent Structured Models accepted!

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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