3DRMS - 3D Reconstruction meets Semantics Call for Papers

CFP: 3DRMS - 3D Reconstruction meets Semantics - ECCV 2018 Workshop

- A Workshop, a Challenge, and peer-reviewed Papers

The Second Workshop on 3D Reconstruction Meets Semantics: 
Integration of 3D Vision with Recognition and Learning

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Date: 9th September 2018 (Morning/Half-day)
Location: Munich, Germany
Website: http://trimbot2020.webhosting.rug.nl/events/3drms/
Contact: Radim Tylecek (rtylecek@inf.ed.ac.uk)
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 IMPORTANT DATES:
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Submission of full papers and extended abstracts: JULY 10TH, 2018 - 23:59 (GMT)
Submission of challenge results: JULY 10TH, 2018 - 23:59 (GMT)
Notification of acceptance: JULY 31TH, 2018
Challenge results evaluated: AUGUST 1st, 2018
Camera-ready manuscripts: LATE SEPTEMBER, 2018 (after workshop)

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 INVITED SPEAKERS
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Andrew Davison, Imperial College London, UK
Thomas Funkhouser, Princeton University, USA
Christian Häne, University of California at Berkeley, USA


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 SCOPE:
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The goal of this workshop is to explore and discuss new ways for
integrating techniques from 3D reconstruction with recognition and
learning. How can semantic information be used to improve the dense
matching process in 3D reconstruction techniques? How valuable is 3D
shape information for the extraction of semantic information? In the age
of deep learning, can we formulate parts of 3D reconstruction as a
learning problem and benefit from combined networks that estimate both
3D structures and their semantic labels? How do we obtain feedback-loops
between semantic segmentation and 3D techniques that improve both
components? Will this help recover more detailed 3D structures?

Topics of interest for this workshop include, but are not limited to:
 * Semantic 3D reconstruction and semantic SLAM
 * Learning for 3D vision
 * Fusion of geometric and semantic maps
 * Label transfer via 3D models
 * Datasets for semantic reconstruction including synthetic dataset
   generation for learning
 * 2D/3D scene understanding and object detection
 * Joint object segmentation and depth layering
 * Correspondence and label generation from semantic 3D models
 * Robotics applications based on semantic reconstructions
 * Semantically annotated models for augmented reality

We encourage both the submission of original work in the form of full
papers and work in progress in the form of an extended abstract. Full
papers will be peer-reviewed and will be published in the proceedings of
the workshop through Springer LNCS. Extended abstracts will not be
formally published, but we will collect the abstracts on the website of
the workshop. Presentation of results on the challenge dataset 
is in all cases most welcome.

Call for papers:
http://trimbot2020.webhosting.rug.nl/events/3drms/paper-submission/


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 SEMANTIC RECONSTRUCTION CHALLENGE:
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Part of the workshop is a challenge on combining 3D and semantic
information in complex scenes. To this end, the dataset was rendered 
from a drive through a semantically-rich virtual garden scene with many 
fine structures. Virtual models of the environment will allow us to provide 
exact ground truth for the 3D structure and semantics of the garden and 
rendered images from virtual multi-camera rig, enabling the use of both 
stereo and motion stereo information. The challenge participants will 
submit their result for benchmarking in one or more categories: 
the quality of the 3D reconstructions, the quality of semantic segmentation, 
and the quality of semantically annotated 3D models.

More information will be available soon at:
http://trimbot2020.webhosting.rug.nl/events/3drms/challenge/


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 ORGANIZERS:
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Radim Tylecek, University of Edinburgh, UK
Torsten Sattler, ETH Zurich, Switzerland
Thomas Brox, University of Freiburg, Germany
Marc Pollefeys, ETH Zurich, Switzerland / Microsoft, USA
Robert B. Fisher, University of Edinburgh, UK
Theo Gevers, University of Amsterdam, Netherlands