Matthieu Cord - News Archives

2023

Main publi/infos:

3 NeurIPS OBELICS, Rewarded soups and REx: Data-Free Quantization
2 ICCV eP-ALM: Efficient Perceptual Augmentation of Language Models and ZestGuide accepted to ICCV 2023 in Paris!
1 paper UnIVAL: Unified Model for Image, Video, Audio and Language Tasks accepted to MMFM Workshop @ICCV.
1 ICML Model Ratatouille: Recycling Diverse Models for ood
4 CVPR Counterfactual Explanations, Semantic and Panoptic Segmentation, Visual Recognition, Improving Selective VQA
2 ICLR Image editing with diffusion models and Data free quantization of deep nets

1 IJCV paper on Explainability of vision-based autonomous driving systems: Review and challenges

AndrewYNg’s news letter pointed out our recent strategy for training Transformers in Vision: Cookbook for Vision Transformers: Good insight about our DeiT III !

2022

Main publi/infos:

Dec.: 2 papers presented at NeurIPS, 1 paper at CoRL
Nov.: 1 paper at BMVC Conference Efficient Vision-Language Pretraining with Visual Concepts and Hierarchical Alignment!
Oct: 3 papers presented at ECCV including STEEX! and 2 papers about DeiT
July: 1 paper at ICML Fishr: Invariant Gradient Variances for Out-of-distribution Generalization
June: 2 papers at CVPR 1- Flexible Semantic Image Translation, 2- Transformers for continual learning + 8 workshop papers:
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
and RED++: Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging published T-PAMI
Janv. 2022 MLIA is joigning the ISIR lab of Sorbonne University, it is a fantastic opportunuity with a lot of new challenges for us!

2021

Main publi/infos:

2 NeurIPS – Data-Free Compression of Deep Neural Networks and on Efficient Black-box Explanations for deep nets
5 ICCV – domain adaptation, bias, Mixing and data augmentation, self supervised, transformers (Xtarget Domain adaptation, Bias and Xmodal shortcuts, CaiT Deeper with transformers, Deep ensembles with 1 net, Coarse labels but fine-grained classification )
1 ICML – DeiT data-efficient image transformers
3 CVPR – Continual Semantic Segmentation, Semantic editing GANs, and Self Supervised BoW + workshops: Insights from the Future for Continual Learning at CVPR workshop on continual learning in computer vision, Learning Reasoning Mechanisms for Unbiased Question-based Counting at CVPR workshop on VQA
1 ICLR – diversity in deep ensembles
1 BMVC – GAN editing
1 PAMI – confidence for deep
and others …
1 IEEE Trans on Intelligent Transportation Systems – Detecting 32 Pedestrian Attributes for Autonomous Vehicles
1 CVIU zero-shot semantic segmentation with domain adaptation published in CVIU

1 paper BEEF on XAI and Autonomous driving at the NeurIPS workshop: Machine Learning for Autonomous Driving

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

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)

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

Oct.
ICCV conf.
PhD defense of E. Mehr with MP. Cani, L. Guibas, T. Boubekeur, K. Bally, M. Ovsjaniko, V. Guiteny, M. Cord (Supervisor)
PhD defense of T. Robert with S. Canu, G. Mori, C. Achard, K. Amahari, D. Picard, N. Thome, M. Cord (Supervisor)

Sept.
4 NeurIPS (NIPS) accepted! Biais in VQA, 0-Shot Segmentation, Failure Detection, Riemannian NNets

Aug.
PhD defense of J. Peyre, with J. Sivic, C. Schmid, I. Laptev, F. Jurie, S. Lazebnik, M. Cord (Rev)

July
4 ICCV accepted!
PhD defense of Junhao Wen with F. Barkhof, P. Coupé, O. Commowick, O. Colliot, S. Durrleman, M. Cord (President)

June
CVPR conference

May
PhD defense of H. Ben-younes Multi-modal representation learning towards visual reasoning with Y. Lecun, J. Verbeek, V. Ferrari, C. Wolf, P. Perez, L. Soulier, N. Thome, M. Cord (Supervisor)

March
3 CVPR SoDeep, Advent and MUREL accepted this year including 2 oral!
PhD defense of Arthur Guillon with N. Labroche, J. Velcin, A. Cornuéjols, C. Frélicot, MJ. Lesot, C. Marsala, M. Cord (President)

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!

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)

2016

Dec., 2016: Invited speaker in Panel session in Future of Emerging Technologies – Memristors and Machine Learning, in 23rd IEEE International Conference on Electronics Circuits and Systems (ICECS), Monte Carlo, Monaco
Dec., 2: PhD def. of M. Chevalier with S. Canu, F. Bremond, C. Achard, P. Perez, M. Cord, G. Henaff, N. Thome
Nov., 3: PhD def. of J. Pasquet with M. Chaumont, C. Garcia, M. Cord, V. Charvillat, G. Subsol, P. Poncelet
Oct., 2016: Invited talk in Symposium on Deep Learning and Artificial Intelligence, Tokyo, Japan
Oct., 2016: Invited talk Deep learning and weak supervision for visual recognition in GdR ISIS workshop
June, 2016: 2 papers accepted at CVPR 2016
June 8, 2016: Talk at INRIA Thoth symposium on Computer Vision and Deep Learning
June 7, 2016: HDR defense of Jakob Verbeek with M. Cord (reviewer), A. Zisserman, E. Gaussier, E. Learned-Miller, C. Schmid, T. Tuytelaars.
May 19, 2016: Talk at I3S lab. on deep and weak supervision
April 14, 2016: Half Day Deep learning Workshop (2nd edition) with GdR-ISIS at UPMC
- Introduction by M. Cord
- Plenary Talk of Yann LeCun (Facebook AI research, NYU, College de France) on predictive learning
- Poster session
March 8, 2016: PhD def. of J. Nicolle with M. Cord (Pres), JP Thiran, B. Schuller, C. Garcia, K. Bailly, M. Chetouani
Feb, 2016: (Press) France Culture Radio show on Lecun and deep learning and broccoli…

2015

Dec: Paper on min-max LSSVM for classification & ranking presented at ICCV 2015 conf.
Sept, 7: Tutorial with Aurélien Bellet on Metric Learning at ECML-PKDD, link to talks
Sept, 3: Invited talk at the SMART summer school
Aug, 31: PhD def. of Christion A. Kuoman with M. Cord (Pres), S. Tollari, M. Detiniecki, Ph. Mulhem, A Popecu, B. Ionescu
July, 1: HDR def. of N. Thome with C. Schmid, N. Paragios, M. Cord (Pres), S. Canu, F. Jurie, S. Marchand-Maillet
June, 30: PhD def. of C. LeBarz with F. Brémond, L. Denoyer, N. Thome, M. Cord, JY. Dufour, D. Filliat, S. Herbin
June: seminar in Brazil, UNICAMP and UFMG
Apr, 28: seminar at The Hong Kong Polytechnic University while visiting Lei Zhang colleague
March, 20: Half Day Deep learning Workshop with GdR-ISIS
Feb, 02: invited talk at the LIRIS monthly seminars on visual metric learning
Jan, 22: PhD def. of A. Sanoja with M. Cord (Pres), M. Rukoz, E. Murisasco, L. Bouganim, P. Senellart, S. Gancarski
Jan, 20: PhD def. of M. Law with F. Bach, F. Precioso, J. Ponce, P. Perez, P. gallinari, M. Cord, S. Gancarski, N. Thome
Jan, 15: PhD def. of I Mhedhbi with P. Garda, A. Beghdadi, H. Rabbah, K. Hachicha, A. Bensrhair, D. Heudes, S. Hochberg, M Cord (President)

2014

Dec: PhD Thesis of Hanlin Goh Learning deep visual representations
Dec: our CVPR 2014 paper on fantope available
Dec, 02: HDR def. of M. Visani with I. Bloch, F. Sedes, R. Ingold, JM. Ogier, K. Tombre, JM. Jolion, M. Cord (Pres)
Oct, 06: HDR def. of V. Courboulay with JP Domenger, C. Fernandez-Maloigne, P. Le Callet, A. Guerin, M. Cord (Reviewer), A. Tabbone, A. Revel
Sept: 02-03 Invited speaker at the first Franco-Taiwanais workshop at EURECOM Sept, 29: PhD def. of A. Cahn Hon Tong with S. Canu, A. Caplier, M. ElYacoubi, C. Achard, L. Lucat, M Cord (Pres)
Sept, 16: HDR def. of S.A. Berrani with, T. Ebrahimi, N. Boujeemaa, M. Cord (Rev), B. Merialdo, P. Gros, J. Carrive, Ph. Joly
Sept: 05-PhD def. of D. Awad with F. Precioso, A. Revel, V. Courboulay, M. Cord, B. Girau
June, 13: PhD def. of A. Fagette with I. Laptev, L. Wong (NUS) F. Moutarde, O. Koch, D. Racoceanu, J Dufour, M. Cord (Pres)
May, 13: PhD def. of A. Bourrier with P. Perez, R. Gribonval, F. Bach, E. LePennec, G. Blanchard, M. Cord (Chair)
April, 15: Talk at Lyon LIMA2
April, 9: PhD def. of M. Jain with A. Smeulders, C. Schmid, P. Perez, P. Bouthemy, P. Gros, H. Jegou, M. Cord (reviewer)
April, 3: PhD def. of M. Jiu with C. Schmid, G. Taylor, M. Rombaut, A. Baskurt, C. Wolf, M. Cord (reviewer)
March, 31: PhD def. of DP Vo with H. Sahbi, J. Benois-Pineau, C. Djeraba, F. Jurie, JM Ogier, M. Cord
Feb, 17-18: SCAPE project meeting
Feb, 11: PhD def. of A. Znaidia with H. Maitre, B. Merialdo, P. Lambert, S. Ayache, S. Marchand-Maillet, N. Paragios, C. Hudelot, H. Le Borgne, M. Cord
Janv, 6: PhD def. of Z. Akata with C. Lampert, C. Schmid, V. Ferrari, F. Perronnin, G Quenot, M. Cord (reviewer)

2013

Dec: NIPS conf presentation of our paper on deep learning
Dec: Talk at Google, Mountain View on metric learning
Nov, 12: Final presentation for ANR GeoPeuple Detection
Oct, 11: PhD def. of Pehlivan Zeynep
Oct, 09: PhD def. of P. Phothisane with T. Chateau, R. Seguier, M. Cord, K. Bailly, L. Prevost, E. Bigorne
Oct, 02: PhD def. of LAI Hien Phuong about interactive CBIR with C. garcia, F. Sedes, B. Merialdo, M. Cord, JM Ogier, M Visani, A Boucher
Sept: Invited talk in ERMITES summer school
Sept, 30: PhD def. of my student Denis Pitzalis with N. Paparoditis, F. Niccolucci, F. Precioso, M. Joly and M. Detyniecki
Sept: 1 paper accepted at NIPS 2013
Sept: 1 paper accepted at ICCV 2013
Aug: Rodrigo Minetto First place of PhD Thesis of SIBGRAPI 2013
July, 12: PhD def. of my student Hanlin Goh with Y. Lecun, F. Jurie, A. Rakotomamonjy, JH. Lim as external members
July, 9: PhD def. F. Martinez on Eye tracking with L. Chen, JM Odobez, A. caplier, F. Brémond, M. Cord as external members
June, 27: Poster CVPR on learning local motion descriptors for video classification
June, 14: PhD def. of my student Sandra Avila ! with C. Schmid, F. Perronnin, P. Perez, M. Campos, and P. Gallinari (+superv.)
June, 5: PhD def. M. Trad on multimedia mining (chair) with B. Merialdo, A. Joly, N. Boujemaa, F. Precioso, D. teyssou, M. Cord
May, 21: PhD Def. of Alina Abduraman on TV content analysis with M. Cord (chair), B. Merialdo, Ph. Joly, G. Gravier, J. Carrive, S. Berrani
Jan: Session (Math. and Computer Science) chairman, JFFoS sympoqium, Kyoto Japon
- Introduction by M. Cord Speakers: T. Harada and I. Laptev
Jan: JMLR paper accepted in JMLR Track for Machine Learning Open Source Software project

2012

Dec, 20: talk at GdR Isis workshop
Dec, 13: seminar at Columbia Univ., NY, USA
Dec, 12: talk at ICMLA conf. Buca Raton, Fl, USA
Dec, 07: HDR def. of Antoine Manzanera with P. Bouthémy, M. Couprie, M. Cord, JM Jolion, B. Zavidovique, M. Paindavoine
Oct, 23: PhD Def. of MM Ullah on Human Action Recognition in Video (reviewer), with P. Perez, I. Laptev, F. Precioso, T. Tuytelaars, P. Bouthemy, E. Kijak
Oct, 15: Keynote speaker at 2nd Singaporean-French IPAL Symposium
Oct, 7-13: ECCV conf, poster presentation
Sept: PhD Def. of Roxana Horincar on dynamic Web content analysis (chair),
Sept: PhD Def. of Bahjat Safadi on semantic indexing of videos (reviewer)
Aug: ERMITES summer school
July: seminar in CNRS Summer School on Images, Content, recognition, classification
June: Workshop SCAPE in Paris
May, 23: INRIA Sophia seminar (Stars team) on Beyond the Bag of Word representation for image classification
May, 2: PhD defense (reviewer) of JP. Burochin, with P. Sturm, C. Heipke, F Tupin, N. Paparoditis, O. Tournaire
April, 3: PhD defense (reviewer) of Chao Zhu, with Liming Chen, CE Bichot, C Schmid and J. Benoit-Pineau
March, 19: PhD defense of my student Rodrigo Minetto with Patrick Perez and Marcin Detyniecki for the french side and Jorge Stolfi and 3 colleagues in Brazil
Feb: 1 paper accepted at ESANN 12 on learning product combinations of kernels with D. Picard, N. Thome and A. Rakotomamonjy

2011

Dec: seminar at Columbia university and visit of the Prof. Chang’s DVMM lab
Dec: seminar at NYU
Dec: PhD Def. of Alex Spengler on Web content analysis (chair),
Dec: PhD Def. (reviewer) of V. Dovgalecs
Nov: PhD Def. (chairman) of J. Defretin
Nov: Talk at ICCV workshop on Text Detection SnooperPlus.pdf
Nov: Poster at ICCV workshop on kernel learning cordWshopIccv.pdf
Oct: Talk at I3S lab., Sophia Antipolis Talki3sOct2011.pdf
Oct: Steve Jobs papers lemonde, libe
Oct: SCAPE Workshop at UPMC: Web page comparison talk
Sept: 2 papers accepted to workshops at ICCV 2011
Sept: ICIP conf. in Bruxelles
Sept: Midterm defense on deep architectures for image, Hanlin Goh midterm.pdf
Sept: Midterm evaluation of ANR ASAP slidesASAPmiparcours.pdf
August: paper on chi2 LSH accepted to PAMI
June: PhD Def. of Shuji Zhao
May: Yann LeCun invited in LIP6 for 1 month Talk_1.pdf
March: IGN french presentation on our text detection system IGNcord.pdf
Feb: Kick-off meeting of EU IP SCAPE project
Jan: Kick-off meeting of ANR Geopeuple project

2010

Dec: PhD Def. of D. Gorisse, HdR Def. of F. Precioso, PhD def. of JE. Haugeard
Nov: HdR def. of Maria Rifki (Pres.), PhD of P. Massip
Sept: ICIP in Hong Kong
Sept: SCAPE new IP european project accepted
Sept: Geopeuple new ANR project with EHESS and IGN accepted
July: PhD Def of T. Napoleon (reviewer), K. Bailly (Pres.)
June: PhD Def of Trinh-Minh-Tri Do (Pres.)
June: 4 papers accepted to ICIP 2010
April: invited seminar on similarity and scalability issues on CBIR at UniG university and at ECAIS
March: My paper An Application of Swarm Intelligence to Distributed Image Retrieval (with Picard and Revel) accepted to Information Sciences Journal
Feb: PhD Def of A. Bordes (Pres.), AM Tousch (reviewer)