Connectionists: CfP: ECCV'16 Workshop - Geometry Meets Deep Learning (GMDL)

[Jonathan Masci]

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CfP - Apologies for multiple copies.
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ECCV International Workshop on Geometry Meets Deep Learning (GMDL) 2016
Amsterdam, The Netherlands - October 9th 2016

Web: http://sites.google.com/site/deepgeometry/ <http://sites.google.com/site/deepgeometry/>
Contact: gmdl.workshop at gmail.com <mailto:gmdl.workshop at gmail.com>

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IMPORTANT DATES
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Full paper submission: July 2nd
Notification of acceptance: July 20th
Camera ready due: July 25th

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INVITED SPEAKERS
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Jitendra Malik, UC Berkeley
Michael Black, MPI
Vladlen Koltun, Intel
Roberto Cipolla, Cambridge
Honglak Lee, UMich
Michael M. Bronstein, USI
Jianxiong Xiao, Princeton
Hao Li, USC
Joan Bruna, UC Berkeley
Niloy Mitra, UCL

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CALL FOR PAPERS
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Recovering 3D geometry of the world from 2D and 3D visual data is a central task in computer vision. The traditional approaches for geometric vision problems are mostly based on handcrafted geometric representations and image features. With the explosive growth of data and computational power, deep learning has recently emerged as a common approach to learning data-driven representations and features for most of the 2D vision tasks. We believe that the interaction between 3D geometry and deep learning has not been fully explored. 

The goal of this workshop is to encourage the interplay between 3D vision and deep learning. The workshop aims to bring together experts from both 3D vision and deep learning areas to summarize the recent advances, exchange ideas, and inspire new directions. 

The workshop will consist of invited talks, spotlight presentations and a poster session. We are soliciting original contributions that deploy deep learning, 3D geometry and optimization techniques to solve 3D vision problems including, but not limited to:

* 3D object detection / classification
* Object pose estimation and reconstruction
* Stereo matching and depth / surface normal / layout estimation
* Human pose / hand pose estimation
* 3D Shape matching / retrieval / recognition
* 3D Scene understanding
* Place recognition and visual odometry 
* Semantic localization and SLAM
* Image / object matching
* Data mining and signal processing on graphs
* Deep learning on manifolds and non-Euclidean domains

The best contribution will be awarded a RealSense camera, sponsored by Intel.

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SUBMISSION
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All submissions will be handled electronically via the CMT system. The format for paper submission is the same as the ECCV 2016 submission format. Papers that violates the anonymity, do not use the ECCV submission template or have more than 14 pages (excluding references) will be rejected without review. 

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WORKSHOP CHAIRS
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Xiaowei Zhou, UPenn, US

Emanuele Rodola, USI Lugano, CH

Jonathan Masci, USI Lugano, CH

Pierre Vandergheynst, EPFL, CH

Sanja Fidler, UToronto, CA

Kostas Daniilidis, UPenn, US

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CONTACTS
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Email: gmdl.workshop at gmail.com <mailto:gmdl.workshop at gmail.com>
Website: http://sites.google.com/site/deepgeometry/ <http://sites.google.com/site/deepgeometry/>
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