Corentin Dancette
Scholar

Corentin Dancette

Google Scholar ID: 2zReQdQAAAAJ
Raidium
Deep LearningVisual Question AnsweringBiasesComputer VisionMedical Imaging
Citations & Impact
All-time
Citations
1,341
 
H-index
11
 
i10-index
12
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Research Experience
  • Summer 2022: Research Intern at Meta AI / FAIR, San Francisco, supervised by Marcus Rohrbach; worked on reliability of deep learning models in Visual Question Answering
  • Spring 2018: 6-month research internship at the Cognitive Machine Learning (CoML) team, École Normale Supérieure, Paris; focused on unsupervised machine learning for word and phoneme discovery in speech data
  • Class project at Georgia Tech: Studied Variational Auto Encoder (VAE) architecture for unsupervised subword modeling in the ZeroSpeech Challenge
  • Fall 2017: Graduate project at Georgia Tech using FlowNet2 for optical flow estimation in natural environment datasets
  • Fall 2016: Software engineering intern at Datadog, working on data pipelines with Spark and Hadoop