Everingham Prize

CALL FOR NOMINATIONS – 2020 PAMI Everingham Prize Award

This annual award is given to a researcher, or a team of researchers,
who have made a selfless contribution of significant benefit to other
members of the computer vision community.

The award is given out by the IEEE Pattern Analysis and Machine
Intelligence (PAMI) Technical Committee, and the selection is managed by
the PAMI TC awards committee.

The winner will be announced at the European Conference on Computer
Vision (ECCV) 2020.

ABOUT THE AWARD

The Everingham Prize has been created to commemorate Mark Everingham and
to encourage others to follow in his footsteps by acting to further
progress in the computer vision community as a whole.  An appreciation
of Mark Everingham's contributions is at: http://bit.ly/markever.

The Prize consists of a Gift to the Recipient of USD 3,000 which will be
presented during the conference, along with a plaque.  The winners will
be listed on the PAMI TC web site and at
https://www.thecvf.com/?page_id=413#Everingham.

Further information about the Everingham Prize may be found at:
https://tc.computer.org/tcpami/mark-everingham-prize/

NOMINATING A CANDIDATE

A nomination for the award should include name(s) and contact detail(s)
of the Candidate individual or team and nominator, a brief description
of the contribution, and should address the following four selection
criteria (quantitatively where possible):

1. The impact of the contribution – in terms of the degree of benefit to
the community and the number of community members benefitting,

2. The time and effort that went into the contribution,

3. The degree to which the Candidate sought to understand and address
the needs of the community – particularly those members whose needs have
previously been overlooked,

4. The lasting nature of the contribution – the length of time over
which the community has actively benefitted, or is expected to benefit
looking ahead.

Note, previous nominations will also be considered for this year, so
there is no need to renominate unless new information is available.

SUBMISSIONS

Nominations should be made by email to everingham-prize@googlegroups.com
by July 17th 2020.

Call for Papers – MICCAI’20 Workshop on Shape Analysis in Medical Imaging (SHAPEMI)

MICCAI’20 SHAPEMI
Workshop on Shape Analysis in Medical Imaging

******************************************************************

Description

We gladly announce the second workshop for Shape Analysis in Medical Imaging (SHAPEMI, https://shapemi.github.io/) held in conjunction with MICCAI – Medical Image Computing and Computer Assisted Interventions, as a virtual event on (or around) Oct 4, 2020. 

Aim and Scope

Shape and geometry methods are at the core of multiple applications and novel technologies in medical imaging.  

This workshop provides a presentation venue for researchers working in shape and geometrical analysis, such as shape modeling, geometric learning and statistics. We focus on (i) shape methods, (ii) applications and (iii) software packages.

Original contributions as well as exciting applications in medical imaging are sought in the form of:

* 8-12 page papers (excluding references and acknowledgements)

We plan on publishing a workshop proceedings with accepted full papers in Lecture Notes in Computer Science (LNCS). Please note that at least one co-author must register to the workshop by the early bird registration deadline August 17, 2020.

(*) Topics include: 

 

* Shape Processing and Analysis
* Shape Learning and Classification
* Geometric Learning and Manifold-based Methods
* Statistics of Shapes and Deformations
* Spectral Shape Analysis
* Spectral Clustering and Dimensionality Reduction
* Shape Modeling and Representation
* Shape Segmentation, Registration and Correspondence
* Longitudinal Shape Analysis and Processing
* Medical Applications focused on Shape Analysis
* Evaluation / quality assessment of shape models
* Relevant demos of freely available shape analysis software

Keynotes will be announced soon. 

(*) Tentative Format:

This year ShapeMI will happen virtually. Details will follow, currently we plan a mix of pre-recorded and live sessions:

  • Presentation: Accepted papers will have to pre-record a short (probably 10 or 15 min) presentation that will be due two weeks before the workshop. The idea is to make these talks available to the attendees in advance of the workshop, but we need to wait what MICCAI plans. 
  • Summary-Slide: Furthermore, a one-slide summary of the paper (PDF) needs to be submitted together with the recorded talks.
  • Live-Session: The summary slide will be shown for featured papers during a live pitch on Oct. 4th. We plan a couple minutes for the live presentation followed by a short Q&A session. 

This workshop will provide an invaluable opportunity for researchers to present recent work on shape analysis in medical imaging. Interactions during the live portion will provide feed-back, insights and networking opportunities. 

A Best Paper Award is sponsored by the Special Interest Group in Shape Analysis. 

** IMPORTANT DATES **

– Full paper deadline: (previously June 30) !!! Extended: July 6, 2020; 11:59 PM PST !!!
– Notification of acceptance: August 10, 2020
– MICCAI early registration: August 17, 2020
– Camera-ready version due: August 21, 2020
– Pre-recorded talks and summary slide due: around September 20th
– Pre-recorded talks released: around September 27th
– Workshop date: Oct 4, 2020

For more information: 

Inquiries at:
We are looking forward to seeing you at the ShapeMI Workshop, the organizers:
Martin Reuter, Christian Wachinger, Hervé Lombaert, Beatriz Paniagua, Orcun Goksel, Islem Rekik

ICPR2020 Workshop on Metrification and Optimization of Input Image Quality in Deep Networks (MOI2QDN)

“>Notification: 10 November 2020

Camera ready: 15 November 2020

Workshop: 11 January 2021

 

 

CALL FOR PAPERS:

Recent years have seen significant advances in image processing and computer vision applications based on Deep Neural Networks (DNNs). Often deep neural networks for such applications are trained and validated based on the assumption that the images are artefact-free. However, in most real-time embedded system applications the images input to the networks, in addition to any variations of external conditions, have artefacts introduced by the Image Signal Processing (ISP) pipelines.

Despite recent advances in interpretability and explainability of deep neural models, DNNs remain widely systems whose operational boundaries cannot be explained or otherwise quantified. It is therefore not clear the level of ISP distortions critical networks can tolerate, or the exact reasons for any performance degradation.

This workshop addresses the issues of performance quantification in DNNs and explore recent advances in the systematic analysis of the performance of deep neural networks with respect to degradations in the input image quality due to the ISP pipeline and their proposed solutions.

Topics of interest include (but are not limited) to:

  • Case studies investigating the performance of deep neural networks with respect to change in input image quality
  • Operational boundaries of DNNs with respect to input image quality
  • Input image quality metrics for deep neural networks
  • Optimisation of physical camera parameters and ISP pipelines for integrated DNNs embedded systems
  • Architectural structures of DNNs for optimising integrated ISP embedded systems

 

PAPER SUBMISSON:

 

Submissions must be formatted in accordance with the Springer's Computer Science Proceedings guidelines.

The following paper categories are welcome:

  • Full papers (12-15 pages, including references)
  • Short papers (6-8 pages, including references)

    Accepted manuscripts will be included in the ICPR 2020 Workshop Proceedings Springer volume. 

    Once accepted, at least one author is expected to attend the event and orally present the paper. 

    Papers can be submitted using Microsoft CMT

 

 

ORGANIZERS:

For any information please sent an email to one of the organisers:

Alexandra Psarrou <psarroa@westminster.ac.uk>

Sophie Triantaphillidou <triants@westminster.ac.uk>

Markos Mentzelopoulos <mentzem@westminster.ac.uk>

 

 

 

 

The University of Westminster is a charity and a company limited by guarantee. Registration number: 977818 England. Registered Office: 309 Regent Street, London W1B 2HW.

This message and its attachments are private and confidential. If you have received this message in error, please notify the sender and remove it and its attachments from your system.

 

DLI 2020 still accepting submissions! Submit your paper and get more citations & extra exposure by presenting online to a global audience (Springer, Scopus, ISI, more)

Web version

November 5 – 6, 2020 | Aalborg, Denmark Cyberspace
Submission Deadline: July 23, 2020

EAI is proud to announce that DLI is going virtual and beyond borders.

Get the same full publication and indexing, enjoy EAI’s fair evaluation and recognition, present your paper to a global audience, and experience virtual meetings live as well as on-demand from the safety and comfort of your home.

DLI 2020 will take place online due to safety concerns and travel restrictions caused by COVID-19. Although we will miss having everyone meet and connect in person, we feel strongly that knowledge exchange must continue, if not more so. That is why we have equipped our online conferences with live viewing with chat, virtual Q&A, and a multitude of other measures to provide you with a great experience. All of this while making the registration for co-authors and non-authors completely free to give you the biggest possible audience. You can learn more about EAI’s online conferences here.

sCOPE
DLI is an annual conference promoting research focusing on innovative designs for learning and the use of digital technologies. Aalborg is a hub for sustainable development, shaping conditions for future digital learning and practices. This year, DLI invites critical and innovative perspectives on the theme “sustainable development realising human needs” targeting a conceptualisation of the effects and impact of digital technologies for, in a sustainable and playful way, fostering human beings to realising their needs and ideas.

We are happy to inform you about the collocated conference ArtsIT 2020!

We are pleased to invite you to submit your paper to DLI 2020. Submissions should be in English, following the Springer formatting guidelines (see Submission). 

Submit Paper

Read More: Call for Papers

DLI authors have enjoyed over 126.000 downloads!
Publication

All registered papers will be submitted for publishing by Springer and made available through SpringerLink Digital Library.

Proceedings will be submitted for inclusion in leading indexing services, Ei Compendex, ISI Web of Science, Scopus, CrossRef, Google Scholar, DBLP, as well as EAI’s own EU Digital Library (EUDL).

All accepted authors are eligible to submit an extended version in a fast track of:

Additional publication opportunities:

Important dates

Full Paper Submission Deadline: July 23, 2020

Notification Deadline: August 27, 2020

Camera-ready deadline: september 24, 2020 

Conference dates: November 5 – 6, 2020

KEYNOTE SPEAKER

Meet the Keynote Speaker for DLI 2020!


Computer Science at the Mixed Reality Laboratory at the University of Nottingham

Title:
Designing Hybrid Products
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Cursos y Talleres Gratuitos

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ENTRENAMIENTOS GRATUITOS

https://proyecto-aurora.org/eventos/

Curso Gratuito “Introducción a la Ciberseguridad”

27 de junio. Horario: 11:00 a 14:00 hs. Duración: 3 Horas

 

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4 de julio. Horario: 11:00 a 14:00 hs. Duración: 3 Horas

 

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10 de julio. Horario: 18:00 a 21:00 hs 

 

Curso Gratuito “Introducción ISO 22301 Continuidad del Negocio”

11 de junio. Horario: 11:00 a 14:00 hs. Duración: 3 Horas

 

Taller Gratuito: “Ciberinteligencia con herramientas Open Source” (Enfoque OSINT)

 

  • Tutor: Oscar Orellana
  • Fecha: viernes 10 de julio de 2020
  • Temario:·Definición y tipos de OSINT· Campos de aplicación de OSINT· Ejecución de herramientas· Generación de informes.
 
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