Grégoire Lefebvre (Ph.D.)

Research Scientist at Orange Labs (France Telecom R&D) - Grenoble - France

Orange Expert "Solutions for Content Services"

Short bio

I received an Engineering degree in Applied Mathematics from National Institute of Applied Sciences (INSA), Rouen, France, in 2000, and a Ph.D. degree in Cognitive Sciences from University of Bordeaux, France, in 2007. Since 2007, I have been working as a Researcher at Orange Labs, where my research interests include multimedia indexing, deep learning and computer-human interaction.

Research topics

Machine Learning and Neural Networks
Image and Signal Processing
Human Computer Interaction
Face, Gesture and Activity Recognition

PhD student supervision

S3 _ Smart Home Data Mining. link
J.Cumin, to be defended in 2018. (supervised by G.Lefebvre, F.Ramparany, J.Crowley) 
S2 _ Automatic non linear metric learning - Application to gesture recognition. link
S.Berlemont, defended in 2016. (supervised by G.Lefebvre, S.Duffner, C.Garcia) 
S1 _ Routine activity extraction from local alignments in mobile phone context data. link
R.Moritz, defended in 2014. (supervised by G.Lefebvre, A.Pauchet, M.Mainguenaud) 

Book chapters

C2 _Inertial Gesture Recognition with Bidirectional Long Short-Term Memory Recurrent Neural Networks.
G.Lefebvre, S.Berlemont, F.Mamalet, C.Garcia,
Springer Series in Bio-Neuro-informatics Artificial Neural Networks - Methods and Applications, 2014.
C1 _A Multimodal Contact List to Enhance Remote Communication.
A.Crossan, G.Lefebvre, S.Zijp-Rouzier, R.Murray-Smith,
Mobile Social Signal Processing, LNCS Volume 8045, 2014.

International journal

J1 _ Fast-Learning Adaptive-Subspace Self-Organizing Map : An Application to Saliency-Based Invariant Image Feature Construction. 
H.Zheng, G.Lefebvre, C.Laurent,
IEEE TNN 2008.

International conferences

IC20 _ Modeling Social Intelligence using Wearable Devices.
A. Mihoub, G. Lefebvre,
IUI 2017.
IC19 _ Polar Sine-based Siamese Neural Network for Gesture Recognition. 
S. Berlemont, G. Lefebvre, S. Duffner, C. Garcia,
ICANN 2016.
IC18 _ A priori Data and A posteriori Decision Fusions for Human Action Recognition. 
J. Cumin, G. Lefebvre, 
VISAPP 2016.
IC17 _ Recognizing Human Actions based on Extreme Learning Machines.
G.Lefebvre, J. Cumin,
VISAPP 2016.
IC16 _ Siamese Neural Network based Similarity Metric for Inertial Gesture Classification and Rejection. 
S.Berlemont, G.Lefebvre, S.Duffner, C.Garcia,
IEEE FG 2015.
IC15 _ 3D Gesture Classification with Convolutional Neural Networks.
S.Duffner, S.Berlemont, G.Lefebvre, C.Garcia,
IC14 _ BLSTM-RNN based 3D Gesture Classification.
G.Lefebvre, S.Berlemont, F.Mamalet, C.Garcia,
Springer ICANN 2013.
IC13 _ Learning a Bag of Features based Nonlinear Metric for Facial Similarity.
G.Lefebvre, C.Garcia,
IC12 _ Coupling Gestures with Tactile Feedback: A Comparative User Study.
G.Lefebvre, E.Boyer, S.Zijp-Rouzier
ACM NordiCHI 2012.
IC11 _ Multi-Touch based Video Selection with an Audio Emotional Curve.
ACM CHI 2012.
IC10 _ Gesture based Interaction for visually Impaired People.
S.Vidal, G.Lefebvre,
ACM NordiCHI 2010.
IC9 _ overView : Physically-Based Vibrotactile Feedback for Temporal Information Browsing.
S.Strachan, G.Lefebvre, S.Zijp-Rouzier,
ACM MobileHCI 2009.
IC8 _ A Probabilistic Self-Organizing Map For Facial Recognition.
G.Lefebvre, C.Garcia,
IC7 _ A Heterogeneous Descriptor Fusion Process For Visual Concept Identification. 
G.Lefebvre, C.Garcia,
IEEE Fusion 2008.
IC6 _ Facial Biometry by Stimulating Salient Singularity Masks.
G.Lefebvre, C.Garcia,
IC5 _ Efficient Codebooks for Visual Concept Recognition by ASSOM Activation.
G.Lefebvre, C.Garcia,
NNAM 2006.
IC4 _ Objectionable Image Detection by ASSOM Competition. 
G.Lefebvre, H.Zheng, C.Laurent,
ACM CIVR 2006.
IC3 _ A Cascade of Unsupervised and Supervised Neural Networks for Natural Images Classification.
J.Ros, C. Laurent, G.Lefebvre,
ACM CIVR 2006.
IC2 _ On the Basis Updating Rule of Adaptive-Subspace Self-Organizing Map (ASSOM).
H.Zheng, C.Laurent, G.Lefebvre,
Springer ICANN 2006.
IC1 _ Supervised Image Classification by SOM Activity Map Comparison. 
G.Lefebvre, C.Laurent, J.Ros, C.Garcia,

French conferences

FC4 _ Apprentissage de métrique non linéaire par réseaux de neurones siamois : perception gestuelle.  
S.Berlemont, G.Lefebvre, S. Duffner, C. Garcia
RFIA 2016.
FC3 _ Fusion de caractéristiques inertielles pour la reconnaissance de gestes.  
S.Berlemont, G.Lefebvre, 
GRETSI 2013.
FC2 _ Sélection de singularités locales par stimulation d'une carte GHSOM. 
G.Lefebvre, C.Garcia, J.M. Salotti, J.Ros,
GRETSI 2007.
FC1 _ Énergies ASSOM pour la détection d’objets. 
G.Lefebvre, C.Garcia, J.M. Salotti,
CORESA 2006.


P15 _ A method of recognizing user contexts.
G.Lefebvre, Orange 2016.
P14 _ A method of recognizing handwriting on a physical surface. 
G.Lefebvre, Orange 2015. 
P13 _ Localized knocking gestures for digit code inputs. 
G.Lefebvre, Orange 2014.
P12 _ Method for unlocking touch screen electronic device with haptic feedback.
C. Masson, T. Perez-Segovia, S. Zijp-Rouzier, G. Lefebvre, Orange 2014.
P11 _ Contextual Gesture Recognition.
R.Moritz, G.Lefebvre, FTR&D 2013.
P10 _ Automatic Gesture Segmentation.
G.Lefebvre, S.Roux, FTR&D 2013.
P9 _ Tactile pairing.
G.Lefebvre, FTR&D 2012.
P8 _ Audio and Tactile Signal Creation on Smartphones.
G.Lefebvre, S.Zijp-Rouzier, A.Crossan, T.Dingler, R.Murray-Smith, FTR&D 2012.
P7 _ Object pairing.
R.Ebel, G.Lefebvre, A.Gimeno, J.-P.Laval, E.Moniz, E.Tosi Brandi, C.Ramus, J.Augi, FTR&D 2011.
P6 _ Audio Vibration Tactile Feedback Generation Process for Gesture Interaction.
G.Lefebvre, E.Petit, S.Zijp-Rouzier, S.Strachan, FTR&D 2010.
P5 _ Method for user interaction with multimedia contents.
G.Lefebvre, A.Gimeno, FTR&D 2009.
P4 _ Method and device for video content classification by saliant neural temporal maps.
G.Lefebvre, C.Garcia, FTR&D 2008.
P3 _ Construction of a neural network for the recognition of an image carrier.
G.Lefebvre, C.Garcia, FTR&D 2008.
P2 _ A method for image classification with multi-modal neuron cards.
G.Lefebvre, C.Garcia, FTR&D 2007.
P1 _ Method for classifying images by neuronal networks and a classifier of pre-learned images.
H.Zheng, C.Laurent, G.Lefebvre, FTR&D 2006.


T1 _ Sélection et Fusion de Signatures Visuelles Parcimonieuses - Application à la classification d'images. link
G.Lefebvre, december, 2007. (supervised by C.Garcia and J-M.Salotti, jury: J.Ponce, H.Cardot, M.Daoudi)


CVPR’07, IHM’09, IHM’10, EURASIP’11, UAIS’11, ICANN’14, CHI’14, NordiCHI’14, CHI'15, TPAMI'15, ICHR'15, TVX'16, MobileHCI'16, UbiComp'16, RFIA'16, HRI'17