Call for paper 〔OPEN〕

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Introduction

This workshop represents an introduction in deep learning based solutions for driving assistance and automated driving applications. The workshop is based on the authors’ experience gain in several research projects carried out at TUCN dealing with perception tasks. The approached topics are how to build a framework for deep learning; deep learning based stereo reconstruction and image segmentation; deep convolutional features’ use in boosting based solutions.

Call for paper

Submission Topics

Presentations:

  • Robert Varga, Lessons learned from developing the Gödel Deep Learning library

  • Vlad Miclea, Deep learning-based approaches for stereo reconstruction

  • Andra Petrovai, Deep learning for semantic image segmentation

  • Arthur Costea, Boosting over deep convolutional features for object detection

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Important Date
  • Conference Date

    Sep 07

    2017

    to

    Sep 09

    2017

  • Sep 09 2017

    Registration deadline

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