CVC 2019 is currently inviting posters and demo proposals for the conference. The posters and demos track presents an opportunity to publish late-breaking results, technical descriptions, smaller research contributions, works-in-progress and student projects in a concise and visible format. Accepted posters and demos will be displayed in the conference venue, including a designated poster / demo session, providing presenters with an opportunity to engage in discussion with other attendees around their research and indexing in the conference proceedings.
Demonstrations of applications, systems and tools with potential or realised impact in particular domains are therefore highly encouraged.
Authors are kindly invited to submit their poster/ demo proposals as per the schedule below,
Authors are required to submit a poster paper. Poster papers should be minimum five pages, clearly describing the research questions addressed and their contribution to the research community. Poster Papers will also be published in the conference proceedings.
The format for the poster paper should be as follows:
Draft posters will be requested after the acceptance of poster paper. All submissions should be anonymised and will be reviewed by an international panel of experts.
Authors are required to submit a demo proposal. Demo proposals should be minimum five pages, clearly describing the research questions addressed and their contribution to the research community. As the proposal may be viewed without the demo, this should be written to stand alone as an independent submission. All submissions should be anonymised and will be reviewed by an international panel of experts.
The format for the proposal should be as follows:
Demo and Posters papers will appear in post-conference proceedings and will be submitted to various international indexes.
Participants with an accepted poster/demo paper must register for the conference and present their poster/demo during the Session. A space for demonstration/poster will be allocated to each participant.
Machine Vision and Learning