Research engineer in Deep Learning

Heuritech – Paris, France

Nov. 2019 Current

Working in the R&D lab of Heuritech, a fashion tech company providing trends data to the fashion industry.

PhD in Deep Learning

LIP6 lab, Sorbonne University (prev. Pierre and Marie Curie University) – Paris, France

2019 3 years

Improving Latent Representations of ConvNets for Visual Understanding

Jury:

• Supervisors: Matthieu Cord, Nicolas Thome
• Reviewers: Stéphane Canu, Greg Mori
• Examinators: Catherine Achard, Karteek Alahari, David Picard

Research engineer then PhD student in Deep Learning

LIP6 lab, Sorbonne University (prev. Pierre and Marie Curie University) – Paris, France

2019 4 years

Supervised by Matthieu Cord and Nicolas Thome

Work on the ANR projects VISIIR; et DeepVision in partnership with the LIRIS (INSA Lyon, France), the Simon Fraser University (Canada) and the University of Guelph (Canada).

• Work on recipe image classification. Creation of a demonstration website of the classifier
• Teaching work (64h / year): in charge of multiple courses, writing of convolutional networks practical sessions subjects
• Submission to the workflow challenge of the M2CAI (MICCAI 2016) workshop with Remi Cadène : classification of surgical operation step based on endosopic videos. 2nd best model submitted.
• Regularization of deep neural networks with Michael Blot. Published at ICIP 2018 (best paper award).
  SHADE: Information-Based Regularization for Deep Learning
• Improvement of semi-supervised learning models based on auto-encoders. Published at ECCV 2018.
  HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning
• Work on disentangling model for generation.
  DualDis: Dual-Branch Disentangling with Adversarial Learning

Publications and courses