• 1/2023 [efficiency]  PowerQuant: Automorphism Search for Non-Uniform Quantization accepted at ICLR 2023

• 11/2022 [internship] We are recruting @ ISIR and @ Datakalab. Please check our internship offers for 2023

• 10/2022 [efficiency] SPIQ: Data-Free Static Per-Channel Input Quantization accepted at WACV 2023

• 9/2022 [efficiency] SInGE: Sparsity via Integrated Gradients Estimation of Neuron Relevance accepted at NeurIPS 2022

• 9/2022 PhD defense of A. Pourchot with D. Mateus, C. Petitjean, S. Allassonnière, C. Wolf, A. Ducarouge, O. Sigaud. Congrats Alois!

• 8/2022 [medical imaging] Neural Architecture Search For Fracture Classification accepted at ICIP 2022

• 6/2022 PhD defense of A. Douillard with D. Larlus, D. Filliat, T. Tommasi, K. Alahari, M. Cord, T. Robert and K. Bailly (pres.) 

• 6/2022 [efficiency] RED++: Data-Free Pruning of Deep Neural Networks via Input Splitting and Output Merging published in T-PAMI

• 5/2022 [face / multitask]  Multi-Order Networks for Action Unit Detection published in IEEE Trans. Affect. Comput.

• 5/2022 [face / emotion] Privileged Attribution Constrained Deep Networks for Facial Expression Recognition accepted at ICPR 2022  

• 4/2022 [efficiency] To Fold or Not to Fold: a Necessary and Sufficient Condition on Batch-Normalization Layers Folding [with code] accepted at IJCAI 2022. 

• 4/2022 [NAS] An Extensive Appraisal of Weight-Sharing on the NAS-Bench-101 Benchmark published in Neurocomputing

• 3/2022 [medical]  Artificial Intelligence: a systematic review of 20 years of contributions reported in Obstetrics and Gynecology journals published in JMIR 

• 1/2022 [face / emotion] THIN: THrowable Information Networks and Application for Facial Expression Recognition In The Wild published in  IEEE Trans. Affect. Comput.

• 9/2021 [efficiency]  RED : Looking for Redundancies for Data-FreeStructured Compression of Deep Neural Networks accepted at NeurIPS 2021 

I am interested in machine learning, deep learning and computer vision  with a particular focus on :

• Efficient models using eg. pruning, quantification and distillation

• Hybrid deep and ensemble learning 

• Multi-task learning

This research is mainly applied to real world applications :

• Automatic Face Analysis (Emotion recognition, action unit detection and intensity estimation, facial landmark localisation and tracking)

• Urban scene understanding (Object detection, people counting, re-identification, mask wearing analysis)

• Medical applications (serious game for ASD children, dyspnea detection, ultrasound imaging)

• Since 2018 - Head of Research @ Datakalab (part time)

• Since 2011 - Associate Professor @ SU

• 2019 - HDR (accreditation to supervise research) @ SU

• 2010/2011 - Postdoc @ Telecom Paris  

• 2010 - PhD in computer science @ UPMC (now SU)

Institut des Systèmes Intelligents et de Robotique
Campus Pierre et Marie Curie
Pyramide – Tour 65-66 3ème étage
4, place Jussieu 75005 Paris – France

Tel: +33 (0) 1 44 27 63 85
e-mail: firstname.lastname (at) sorbonne-universite.fr