About Me
I am currently a Postdoctoral research associate at Computer Science and Artificial Intelligence Laboratory (CSAIL), MIT and Qatar Computing Research Institute (QCRI). I am working with Prof. Antonio Torralba, Dr. Ferda Ofli and Dr. Ingmar Weber. I obtained my PhD degree (in June 2018) from CentraleSupélec in the fields of Deep-Learning and Computer-Vision, under the supervision of Dr. Hervé Le Borgne (CEA) and Prof. Céline Hudelot (Centrale-Supélec).
Research
My research centers around Deep-Learning and its applications to Computer-Vision (object/scene recognition, retrieval, detection segmentation, etc.) and Multimedia (cross-modal retrieval, bi-modal classification, image captioning, etc.). Specifically, in my post-doc I am interested in building deep-learning based food recognition systems and applying them on social media data in order to understand health habits of pupulations. During my PhD, I was interested by learning image representations using Deep Convolutional Neural Networks (DCNNs) in order to re-use them (through a transfer-learning scheme) when facing with small datasets that contains too few images and/or classes to learn representations from scratch. The learning of these image-representations is based on the unsupervised generative aspect of DCNNs which is quite powerful but complex, making it hard to understand and thus very hard to control as we want. Keywords: Deep-Learning, Machine-Learning, Computer-Vision, Multimedia-modelling.
Publications
2019
How to Make a Pizza: Learning a compositional layer-based GAN model
CVPR 2019 Computer Vision and Pattern Recognition 2019 Accepted PDF BibTex Project page
Learning More Universal Representations for Transfer-Learning
TPAMI 2019 Journal of IEEE Transactions on Pattern Analysis and Machine Intelligence Accepted (To appear) PDF Supplementary BibTex Code (Github)
2018
Learning Finer-class Networks for Universal Representations
BMVC 2018 British Machine Vision Conference, Newcastle, UK, September 2018 Acceptance rate: 29.9% (258/862) PDF Supplementary BibTex
On The Universality of Visual and Multimodal Representations
PhD Thesis at CentraleSupélec and CEA LIST, Defended on June 1st 2018 Comitee: Mathieu Cord (UPMC), Philippe-Henri Gosselin (Technicolor), Iasonas Kokkinos (Facebook and UCL), Florent Perronnin (NaverLabs), Pablo Piantanida (CentraleSupélec) PDF BibTex Slides
Procédé d’obtention d’apprentissage d’un premier réseau de neurones convolutif vers un deuxième réseau de neurones convolutif
Patent 2018 Filed June 20182017
MuCaLe-Net: Multi Categorical-Level Networks to Generate More Discriminating Features
CVPR 2017 Computer Vision and Pattern Recognition, Hawaii, USA, July 2017 Acceptance rate: 29% (783/2680) PDF BibTex Supplementary Poster Code (Github)
AMECON: Abstract Meta Concept Features for Text-Illustration
ICMR 2017 International Conference on Multimedia Retrieval, Bucharest, Romania, June 2017 Oral - Acceptance rate: 21% PDF BibTex Slides Poster Code (coming soon)
2016
Procédé d’obtention d’un système de labellisation d’images
Patent 2016 Filed September 2016
Teaching / Supervising
Supervising: MSc students
- Julien Girard, (now: PhD student at CEA LIST) - Inès Chami, (now: PhD student at Stanford University)
Practical Artificial-Intelligence at Centrale-Supélec
Artificial Intelligence tutorials for Master of Science (M.Sc) students. Rational, Expert and Logical agents, Machine Learning, Basics of NLP, Basics of Computer-Vision, etc. Framework: Keras. [Python]
Centrale-Supélec - 2017
Practical Deep-Learning at Centrale-Supélec
Deep Learning tutorials for Master of Science (M.Sc) students. Linear Regression, Multi-Layer Perceptron (MLP), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Transfer-Learning, Fine-Tuning, etc. Framework: TensorFlow. [Python]
Centrale-Supélec - 2017
Practical Human-Computer Interaction
Human-Computer Interaction for 1st year IUT students.
IUT d'Orsay (University of Paris-Sud) - 2017Reviewing Activities
ACCV 2018
Asian Conference on Computer Vision 2018: Two papers.
CVPR 2018
IEEE Computer Vision and Pattern Recognition 2018: Seven papers.
ICLR 2018
International Conference on Learning Representations 2018: Two papers.
NIPS 2017
Advances in Neural Information Processing Systems 2017: Two papers.
Projects
AI4DTY website
A website dedicated to novice students (of Centrale-Supelec) in the field of Artificial Intelligence (AI), that lists many useful links, including theoretical and practical courses, frameworks, databases and misc tools.
Project for Centrale-Supélec Link to AI4DTY website
Pedestrian Detection
Development of a module of a driving assistance application. The module consisted to detect pedestrians on video-frames obtained from an embedded camera. I developed it using OpenCV and LibSVM libraries. [C++]
Scholar Project
Road Signs Detection and Recognition
Development of a module of a driving assistance application. The module consisted to detect and recognize road signs on video-frames obtained from an embedded camera. I developed it using OpenCV and LibSVM libraries. [C++]
Scholar Project
Hand-Written Digit Recognition
Development of a hand-written digit recognition system using a shallow neural network that contains multiple hidden-layers. I developed it from scratch, i.e, without any library or framework. [Matlab]
Scholar Project