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Intership offer in all-in-one deep scene understanding

8 December 2022


Catégorie : Stagiaire


 

Self-supervised learning all-in-one model for Object 6D pose estimation through Transformer

In this project, we will study the accuracy of state of the art learning-based 6D pose estimation methods for manipulating objects, in particular fruits. We are focusing on the paradigm of self-supervised learning paradigm, e.g., Transformer, to develop an all-in-one model for object detection, instance segmentation and their pose estimation, for the purpose of deep scene understanding and object manipulation.

Contact: Associate Prof. Emmanuel Dellandrea (emmanuel.dellandrea@ec-lyon.fr), Prof.Liming Chen (liming.chen@ec-lyon.fr )

 

Interested candidates at M2 level with excellent academic records should drop an email with CV and transcript.

Requirements:

  1. Strong background in computer vision, machine learning and mathematics

  2. Strong programming skills in C++ and python

  3. Fluency in English

  4. transcripts of your current academic cursus

Project duration: 6 months starting preferably in February 2023

Location: Campus Ecole Centrale de Lyon