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.
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
Sep 07
2017
Sep 09
2017
Registration deadline
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