3DRMS - 3D Reconstruction meets Semantics - ICCV 2017 Workshop Call for Papers

CFP: 3DRMS - 3D Reconstruction meets Semantics - ICCV 2017 Workshop

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

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Date: 23 October 2017
Location: Venice, Italy
Website: http://trimbot2020.webhosting.rug.nl/events/3drms/
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IMPORTANT DATES:
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Submission of full papers and extended abstracts: AUGUST 1ST, 2017 - 23:59 (GMT)
Notification of acceptance: AUGUST 15TH, 2017
Camera-ready manuscripts: AUGUST 25TH, 2017
Submission of challenge results: SEPTEMBER 1ST, 2017 - 23:59 (GMT)


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INVITED SPEAKERS
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Jitendra Malik, University of California at Berkeley, USA
Raquel Urtasun, Uber ATG Toronto / University of Toronto, Canada
Andrew Davison, Imperial College London, UK
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
  * 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 IEEE xplore. Extended abstracts will not be 
formally published, but we will collect the abstracts on the website of 
the workshop.

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, a challenging outdoor 
dataset, captured by a robot driving through a semantically-rich garden 
that contains fine geometric details, will be released. A multi-camera 
rig is mounted on top of the robot, enabling the use of both stereo and 
motion stereo information. Precise ground truth for the 3D structure of 
the garden has been obtained with a laser scanner and accurate pose 
estimates for the robot are available as well. Ground truth semantic 
labels and ground truth depth from a laser scan will be used for 
benchmarking 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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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

Contact: Torsten Sattler (torsten.sattler@inf.ethz.ch)