CFP – PRL Virtual Special Issue: I-BIO – Implicit BIOmetric Authentication and Monitoring through Internet of Things

Pattern Recognition Letters – Special Issue on Implicit BIOmetric Authentication and Monitoring through Internet of Things – VSI acronym: I-BIO
Motivations
According to reliable forecasts, the expected number of connected IoT devices could exceed 25 billions by 2020. An important fraction of this number includes last generations mobile and wearable devices featuring an arsenal of advanced sensors (high speed/depth/multi-focal cameras, finger imaging, accelerometers, gyros, etc.), up to 5G communication capability and growing computing power. This collection of features makes them particularly suited to capture both static and dynamic biometrics, to continuously monitor health signals and/or to provide information about the operating context. In summary, these capabilities will enable a new generation of Internet of Biometric Things (IoBT) approaches which will greatly extend the range and the target of “mainstream” biometric applications. This Special Issue aims at gathering the latest research findings and applications for transparent acquisition and processing of biometrics and health signals in the context of ubiquitous IoBT-based user authentication and monitoring, outlining new application scenarios for mobile biometrics. 
List of Topics
Topics include, but are not limited to:
• IoBT enabled biometrics
• Ubiquitous user authentication/recognition
• Ubiquitous biometric monitoring
• Implicit IoBT-enabled authentication/recognition
• Implicit IoBT-enabled activity recognition
• Implicit IoBT-enabled context detection
• Dynamic biometrics capture and processing
• Implicit psychophysical assessment
• Deep Learning for IoBT applications
• Health signals analysis via mobile devices
• Elders monitoring through IoBT devices and approaches
• Privacy and IoBT
Important Dates
Start of submission period: September 1, 2020
Deadline for submission: September 30th, 2020 First review notification: December 1st, 2020 Revision submission: January 15th, 2021
Second review notification: February 15th 2021 
All submissions in final status: March 31st 2021
Submission Guidelines
All submissions have to be prepared according to the Guide for Authors as published in the Journal Web Site at http://www.elsevier.com/journals/pattern-recognition-letters/0167-8655/guide-for-authors.
Submissions should be sent through http://ees.elsevier.com/prletters/. Authors should select the acronym “VSI:I-BIO” as the article type, from the “Choose Article Type” pull-down menu during the submission process.
The maximal length of a paper is 7 pages in the PRLetters layout and may become 8 in the revised version if referees explicitly request significant additions.
The submitted papers should not have been previously published or be under consideration for publication elsewhere. If one submission is the extended work of one conference paper, the original work should be included and a description of the changes should be provided.
The PRLetters submission should include at least 30% new contribution of high relevance (more experiments, proofs of theorems not included in the conference paper, more comparisons with other methods in the literature and so on); and the title of the PRLetters paper should be different, the same figures cannot be used and the common part of the conference paper and of the extended version cannot be verbatim the same. 
Review Process
The review process will follow the standard PRLetters scheme. Each paper will be reviewed by at least two referees and that, in general, only two reviewing rounds will be possible, out of which major revision is possible for the first reviewing round. Submissions will probably be rejected if major revision is still required after the second reviewing round. 
Contacts
For inquiries regarding the special issue, send an email to the managing guest editor at: stefano.ricciardi@unimol.it 
Guest Editors
Stefano Ricciardi (Managing Guest Editor), University of Molise, Italy. E-mail: stefano.ricciardi@unimol.it
Modesto Castrillón-Santana (Guest Editor), University of Las Palmas de Gran Canaria, Spain.  E-mail: modesto.castrillon@ulpgc.es

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Wanted! Color Research at the Frontier of Imaging Science

Color and appearance are critical to the success of applications involved in augmented and other realities (AR/VR/MR), 3D printing, digital color printmaking, cultural heritage digitization, and so much more.

Contribute your research and developments at the frontier of color imaging across applications to the Twenty-eighth Color and Imaging Conference (CIC28) as a short course or workshop!

Learn more at http://bit.ly/CIC28_CFP

REVISED SUBMISSION DEADLINES
**Workshop & Short Course Proposals: 15 June 2020
**Conference Proceedings Paper: 30 June 2020
Accepted Proceedings Manuscripts Due: 14 September 2020

CIC28 ONLINE
Twenty-eighth Color and Imaging Conference
2-13 November 2020
http://bit.ly/CIC28_

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Roberta Morehouse, CMP
Communications and Marketing Manager
Society for Imaging Science and Technology (IS&T)

ECCV 2020 – 8th International Workshop on Assistive Computer Vision and Robotics (ACVR 2020)

28th August 2020
In conjunction with ECCV 2020 - European Conference on Computer Vision
 Web: https://iplab.dmi.unict.it/acvr2020/ Contact: ACVR.workshop@gmail.com
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 IMPORTANT UPDATE: due to COVID-19 outbreak ACVR2020 is going 100% ON LINE
 The general idea for implementing this is to follow the same format as the main conference:
 • All papers, oral or poster, will have a pre-recorded video presentation, made available together with the paper to the attendees about a week before the workshop day; 
 • The workshop will have some scheduled individual interaction time during the workshop day; 
 • This  time will be split in two parts to allow attendees from all over the world to attend in good conditions.
 
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IMPORTANT DATES  
 Full Paper Submission: July 17th, 2020
Notification of Acceptance: August 3rd, 2020
Camera-Ready Paper Due: September 8th, 2020
  CALL FOR PAPERS
The last decade has witnessed the significant impact of Computer Vision and Robotics on real-world products. This has been possible thanks to the results of traditional Computer Vision and Robotics problems such as tracking, 3D reconstruction, detection, recognition, odometry, navigation, and ultimately, thanks to deep learning. However, most of these results have focused on constrained application scenarios that do not involve the integration of feedback from the user. Since these applications do not consider the user's intentions and goals, they tend to be of limited use when it is necessary to provide assistance to humans. 
 With the pervasive successes of Computer Vision and Robotics and the advent of industry 4.0, it has become paramount to design systems that can truly assist humans and augment their abilities to tackle both physical and intellectual tasks. We broadly refer to such systems as "assistive technologies". Examples of these technologies include approaches to assist visually impaired people to navigate and perceive the world, wearable devices which make use of artificial intelligence, mixed and augmented reality to improve perception and bring computation directly to the user, and systems designed to aid industrial processes and improve the safety of workers. These technologies need to consider an operational paradigm in which the user is central and can both influence and be influenced by the system. Despite some examples of this approach exist (e.g., OrCam, HoloLens), implementing applications according to this "human-in-the-loop" scenario still requires a lot of effort to reach an adequate level of reliability and introduces challenging satellite issues related to usability, privacy, and acceptability. 
The main scope of ACVR 2020 is to bring together researchers from the diverse fields of engineering, computer science, social and biomedical sciences who work in the context of technologies involving Computer Vision and Robotics related to real-time continuous assistance and support of humans while performing any task. The scope goes beyond that of the previous editions. The workshop was conceived (in 2013) for pure assistive topics (mainly related to the field of health). However, the rapid increase in the demand for tools to support daily life and industrial processes has pushed the interest of the research community also towards those application fields.  
This widening of the interests of the workshop contributors and audience will enable researchers working on similar technologies but in different application fields to compare their studies and to discuss new ideas. To this aim, besides the technologies used, emphasis will be given to the precise definition of problems, the available benchmark databases, and to the need for evaluation protocols. 
Topics Research papers are solicited in, but not limited to, the following topic areas 
- Symbiotic Human-Machine Systems;
- Computer Vision to aid Industrial Processes;
- Augmented and Mixed Reality;
- Computer Vision to Improve the safety of workers; 
- Human-Robot Interaction; 
- Home Healthcare; 
- Technology for Cognition;
- Automatic Emotional Hearing and Understanding;
- Activity Monitoring Systems; 
- Manipulation Aids; 
- Smart Environments;
- Safety and Security;
- Ambient Assistive Living;
- Privacy-preserving systems; 
- Robot assistants;
- Quality of Life Technologies; 
- Navigation Systems;
- Mobile and Wearable Systems;
- Applications for the Visually Impaired; 
- Sign language recognition and applications for hearing impaired;
- Applications for the Ageing Society;
- Personalized Monitoring
- Egocentric and First-Person Vision;
- Applications to improve the health and wellbeing of children and elderly;
- Autonomous Driving;
- Driver Assistance Systems;
- Brain-Computer Interfaces (BCI) for Assistive Systems; 
- Multi-modal Human-Centered Systems.
INVITED SPEAKERS
- Dhruv Batra, Georgia Tech, USA 
- Walterio Mayol-Cuevas, University of Bristol, UK
- Marc Pollefeys, ETH Zurich, CH 
- Jim Regh, Georgia Tech, USA 
 
SUBMISSION AND REVISION
All submissions will be handled electronically via the conference’s CMT Website: https://cmt3.research.microsoft.com/ACVR2020.
The format for paper submission is the same as the ECCV 2020 main conference. Please refer to ECCV 2020 author guidelines
See the instructions and guidelines at the following page: http://iplab.dmi.unict.it/acvr2020/submission 
ACVR reviewing will be double-blind. Each submission will be reviewed by at least three reviewers for originality, significance, clarity, soundness, relevance and technical contents.
The paper length should match that intended for final publication. Papers are limited to 14 pages (excluding references), including figures and tables. Additional pages must contain only cited references.
  
Papers that are not blind, or do not use the template, or have more than 14 pages (excluding references) will be rejected without review.
Authors may optionally submit additional material that could not be included in the main paper due to constraints of format (e.g., a video), space (e.g., a proof of a theorem or an extra figure or table) or anonymity.
Submission Deadline: July 17th, 2020 
 
PROCEEDING AND JOURNAL SPECIAL ISSUE 
Accepted papers will be published in the (post-conference) proceedings of the workshops. 
Authors may be invited to submit an extended version (at least 40% more than the seminar versions) of their work to a special issue (currently still in the planning stage) in one of the most highly rated journals in the field of computer vision or of robotic research. 
 
WORKSHOP ORGANIZERS
Giovanni Maria Farinella, University of Catania, IT
Antonino Furnari,  University of Catania, IT
Marco Leo, CNR-Institute of Applied Sciences and Intelligent Systems, IT 
Gerard G. Medioni, University of Southern California, US
Mohan Trivedi, University of California San Diego, US 
ENDORSERS
CVPL - Associazione Italiana in Computer Vision, Pattern Recognition andMachine Learning  
http://www.cvpl.it/ 
CONTACTS 
Email: ACVR.workshop@gmail.com 
Website: https://iplab.dmi.unict.it/acvr2020/

INTERNATIONAL SUMMER SCHOOL ON ARTIFICIAL INTELLIGENCE: From Deep Learning to Data Analytics (AI-DLDA) 2020

INTERNATIONAL SUMMER SCHOOL ON ARTIFICIAL INTELLIGENCE: From Deep Learning to Data Analytics (AI-DLDA) 2020
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Call for participation – Apologies for multiple copies
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3rd INTERNATIONAL SUMMER SCHOOL ON ARTIFICIAL INTELLIGENCE: From Deep Learning to Data Analytics (AI-DLDA) 2020
June, 29th – July 3rd, 2020
Web:  http://www.aidlda.it
Contact: segreteria@ditedi.it
Organized by: University of Udine, Italy / IP4FVG, Italy / DiTeDi, Udine

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=== SCOPE ===
AI-DLDA 2020 is an International Summer School for young researchers and Ph.D. students with the main scope aiming at updating participants about the most recent advances in the area of Artificial Intelligence, ranging from deep learning to data analytics. This school will give an in-depth analysis of the state-of-the-art research and will cover a large spectrum of current research activities and industrial applications deal with big data, computer vision, human-computer interaction, biomedical informatics, deep learning, and serious games.

=== ADDRESSED TO ===
Master's students, Ph.D. students, researchers, and industry practitioners will be typical profiles of participants. However, there are no formal prerequisites for attendance in terms of academic degrees. The selected participants will benefit from direct interaction with world leaders in AI.

=== STRUCTURE ===
The School will be organized in five on-line teaching days with keynote lectures from both academia and industry (during the morning) and laboratory sessions (during the afternoon) and 1 round table. The last day is also reserved for the final exam for those who need credits.

=== COURSES and LIST OF SPEAKERS ===
   – Andrew Bagdanov – University of Firenze, Italy
   – Wojciech Samek – Fraunhofer HHI – Heinrich Hertz Institute, Germany
   – Davide Scaramuzza – University of Zurich, Switzerland
   – Andrea Cavallaro – Queen Mary University London, UK
   – Petia Radeva – Universitat de Barcelona, Spain
   – Luigi Di Stefano – University of Bologna, Italy
   – Emanuele Frontoni – Università Politecnica delle Marche, Italy
   – Sebastiano Battiato – University of Catania, Italy

=== VENUE ===
AI-DLDA 2020 will be a virtual, remote learning experience

=== REGISTRATION ===
It has to be done through http://www.aidlda.it

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Call for Papers – Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications (SoMMA’20)

Second Symposium on Machine Learning and Metaheuristics Algorithms, and Applications (SoMMA'20)
October 14-17, 2020, Chennai, India
http://www.acn-conference.org/2020/somma2020/

Submission Deadline: July 15, 2020
EDAS Submission Link: https://edas.info/N27452

Proceedings by Springer in Communications in Computer and Information Science Series(CCIS) – Scopus Indexed

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