[robotics-worldwide] [meetings] CfP ICVS 2017: 11th International Conference on Computer Vision Systems (Shenzhen)

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[robotics-worldwide] [meetings] CfP ICVS 2017: 11th International Conference on Computer Vision Systems (Shenzhen)

刘明
11th International Conference on Computer Vision Systems
Shenzhen, China, July 10 - 13, 2017.

https://urldefense.proofpoint.com/v2/url?u=http-3A__icvs2017.ram-2Dlab.com_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=8ccFi76Urqa4_-e36vDOohaueiBy6Cy2e2tUDDiPcNE&s=68VQJ4q2mGpDFynuXaOGosXhoBtJRvDw0YaXCFU8ZQw&e= 

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ICVS addresses the aspects of building vision systems for real world
applications. The conference series was started in 1999 by Henrik
Christensen and James Crowley given the fact that robots need vision
systems to interact with the world.

ICVS invites original contributions about the design and deployment of
comprehensive computer vision systems for applications such as robotics,
monitoring, and scene interpretation.

The 11th International Conference on Computer Vision Systems (ICVS 2017)
aims to gather researchers and developers from both academia and industry
worldwide and to explore the state of the art and the prospects of vision
systems. The perspective on systems offers a unique opportunity for sharing
competence in application development and for identifying
application-driven research questions.
Shenzhen was a market town of 30,000 people on the route of the
Kowloon–Canton Railway. That changed in 1979 when Shenzhen was promoted to
city-status and in 1980 designated China’s first Special Economic Zone.
Shenzhen was one of the fastest-growing cities in the world during the
1990s and the 2000s. Shenzhen is a now major financial center in southern
China. The city is home to the Shenzhen Stock Exchange as well as the
headquarters of numerous high-tech companies.
ICVS2017 is her first time in Asian and promises to be a great event for
all participants, with excellent technical and social programs in the
inspiring city.

*IMPORTANT DATES*

- Submission of original PDF full papers:
   March 30, 2017
- Submission of organized focused theme session proposals:     March 30,
2017
- Notification of paper and organized session acceptance:         May 15,
2017
- Submission of final papers:
         June 1, 2017

*ORGANIZING COMMITTEE*

Conference Chairs:

·        Markus Vincze, TU Wien, Austria
·        Ming Liu, Hong Kong University of Science and Technology, Hong
Kong

*The scope of the conference includes but not limited to the following
areas:*
- Building Vision Systems: Paradigms, architectures, integration, control
- Vision Systems Applications: Systems deployed in real/realistic scenarios
- Real-Time Vision Systems
- Robot Vision
- Mobile and Wearable Vision Systems
- Hardware-Implemented Vision Systems
- Vision for the Real Worlds: Robustness, learning, adaptability,
self-assessment, failure recovery
- Vision for Action: Robotics, perception-action loops
- Vision in Context: Context awareness, knowledge representations,
reasoning, goal specification
- Biological Vision: Computer vision inspired by biology or psychology
Cognitive Vision Systems
- Human-computer interaction: Monitoring, supervised learning, scene
interpretation
- Human-Robot Collaboration: Gesture recognition, scene understandin
- Performance Evaluation: benchmarks, methods and metrics

More information is available at https://urldefense.proofpoint.com/v2/url?u=http-3A__icvs2017.ram-2Dlab.com&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=8ccFi76Urqa4_-e36vDOohaueiBy6Cy2e2tUDDiPcNE&s=dNwIPlBbcrfPpp1LniIB314ovFERKWcWW8x4NK3UHmw&e= 

Submission link: https://urldefense.proofpoint.com/v2/url?u=https-3A__www.softconf.com_g_icvs2017_&d=DwIFaQ&c=clK7kQUTWtAVEOVIgvi0NU5BOUHhpN0H8p7CSfnc_gI&r=0w3solp5fswiyWF2RL6rSs8MCeFamFEPafDTOhgTfYI&m=8ccFi76Urqa4_-e36vDOohaueiBy6Cy2e2tUDDiPcNE&s=C-DCH_MuTO5PNeIxT6zrTrGMLi0Ixir8wuAHlvp-EA0&e= 

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Ming Liu  (Assistant Prof. Dr.)
Tel: +852 2358 7058 <+852%202358%207058>
Email: [hidden email]
Address: CYT-2011
Robotics and Multi-perception Lab (ram-lab.com)
Robotics Institute of HKUST
Department of Electronics and Computer Engineering
Department of Computer Science and Engineering
Hong Kong University of Science and Technology
Clear Water Bay, KLN

Hong Kong
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