Extension of submission deadline.
The new submission due: 1st March 2022 (midnight AOE)
CFP: The third workshop on Intelligent Cross-Data Analytics and Retrieval (https://www.xdata.nict.jp/icdar_icmr2022/index.html)
Co-located with ICMR 2022 (www.icmr2022.org)
Followed by the success of the ICMR-ICDAR 2020 and ICMR-ICDAR 2021 workshops on intelligent cross-data analytics and retrieval, this proposal aims to organize the third workshop that provides the playground to people interested in the workshop's topics. In this playground, people share their experiences and brave new ideas towards making cross-data more intelligent by compensating each type of data's strengths and propose a new way to analyze and retrieve cross-data under different perspectives. The accepted papers are expected to be published in the workshop proceedings. Excellent papers are encouraged to submit to journals or a special issue that will be organized by the organizers.
Data have played a critical role in human life. In the digital era, where data can be collected almost anywhere, at any time, and by anything, people can own a vast volume of real-time data reflecting their living environment in various granularity. From these data, people can extract the necessary information to gain knowledge towards becoming wise. Since data do not come from a sole source, they only reflect a small part of a massive puzzle of life. Hence, the more pieces of data can be collected and filled into a canvas, the faster the puzzle can be solved. If we consider a puzzle piece as single-modal data, the puzzle game becomes a multimodal data analytic problem. If we consider a group of puzzle pieces assembled as a segment of the puzzle as one domain (e.g., mountain, house, animal), the puzzle game becomes a multi-domain problem. If we consider a 3D puzzle game, we are talking of a multi-platform problem. Finally, the bidirectional mapping between puzzle pieces and the frame (e.g., sample picture of a puzzle) during the game can be considered as cross-data/domain/platform problem. In other words, we can use a set of data (i.e., multimodal data) from certain domains with analytic models built on one platform to infer (e.g., prediction, interpolation, query) data from another domain(s) and vice versa. We have witnessed the rise of cross-data against multimodal data problems recently. The cross-modal retrieval system uses a textual query to look for images; the air quality index can be predicted using lifelogging images; the congestion can be predicted using weather and tweets data; daily exercises and meals can help to predict the sleeping quality are some examples of this research direction. Although vast investigations focusing on multimodal data analytics have been developed, few cross-data (e.g., cross-modal data, cross-domain, cross-platform) research has been carried on. In order to promote intelligent cross-data analytics and retrieval research and to bring a smart, sustainable society to human beings, the specific article collection on “Intelligent Cross-Data Analysis and Retrieval” is introduced. This Research Topic welcomes those who come from diverse research domains and disciplines such as well-being, disaster prevention and mitigation, mobility, climate change, tourism, healthcare, and food computing. Example topics of interest include but is not limited to the following:
Ø Event-based cross-data retrieval Data mining and AI technology.
Ø Complex event processing for linking sensors data from individuals, regions to broad areas dynamically.
Ø Transfer Learning and Transformers.
Ø Hypotheses Development of the associations within the heterogeneous data
Ø Realization of a prosperous and independent region in which people and nature coexist.
Ø Applications leverage intelligent cross-data analysis for a particular domain.
Ø Cross-datasets for Repeatable Experimentation.
Ø Federated Analytics and Federated Learning for cross-data.
Ø Privacy-public data collaboration.
Ø Integration of diverse multimodal data
ORGANIZERS
Ø Minh-Son Dao, National Institute of Information and Communications Technology (NICT), Japan
Ø Mianxiang Dong, Muroran Institute of Technology, Japan
Ø Yuta Nakashima, Osaka University, Japan
Ø Cathal Gurrin, Dublin city University, Ireland
Ø Michael Riegler, Simula Metropolitan Center for Digital Engineering, Norway
Ø Duc-Tien Dang-Nguyen, Bergen University, Norway
PAPER FORMAT
All papers must be formatted according to the ACM proceedings style. Click on the link (https://www.acm.org/publications/proceedings-template) to access Latex and Word templates for this format. Please use “sample-sigconf.tex” as a Latex template or “ACM_SigConf.doc” as a Word template. CCS code generation support tool is available here (https://www.acm.org/publications/proceedings-template).
We invite the following two types of papers:
Full Paper: limited to 6-8 pages, including all text, figures, and references: Full Papers should describe original contents with evaluations. They will be reviewed by more than two experts based on:
・ Originality of the content
・ Quality of the content based on evaluation
・ Relevance to the theme
・ Clarity of the written presentation
Short Paper: limited to 4 pages, including all text, figures, and references. Short papers should describe work in-progress as position papers. They will be reviewed by two experts based on:
・ Originality of the content
・ Relevance to the theme
・ Clarity of the written presentation
March 2nd, 2022
Daniela Lopez de Luise
19th Int.l Summer School for Advanced Studies on
Biometrics for Secure Authentication:
CONTINUALLY LEARNING BIOMETRICS
Alghero, Italy – June 6 – 10 2022
http://biometrics.uniss.it
To face the expected travel limitations due to the Covid-19 outbreak, the school is planned as a mixed virtual event, allowing participation both in person and remotely with videoconference facilities
Contact: tista@uniss.it
From the early days, when security was the driving force behind biometric research, today’s challenges go far beyond security. Machine learning, Image understanding, Signal analysis, Neuroscience, Robotics, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment. This is what we simply call today “Biometrics”.
For the last nineteen years, the International Summer School on Biometrics has been closely following the developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art.
What are the most up-to-date core biometric technologies developed in the field? What is the potential impact of biometrics in forensic investigation and crime prevention? What can we learn from human perception? How to deploy current Machine Learning approaches? How to deal with adversarial attacks in biometric recognition? How can a biometric system learn continually?
This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 19th edition, the courses will mainly focus on new and emerging issues:
• The impact of AI and advanced learning techniques in Biometrics;
• How to make “Deep Biometrics” systems explainable;
• The advantages of continual learning for biometrics;
• How to exploit new biometric technologies in forensic and emerging applications.
The courses will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry.
An advanced feature of this summer school will be some practical sessions to better understand, “hands on”, the real potential of today’s biometric technologies.
Participant application
The expected school fees will be in the order of 1,600 € (400 € in videoconference) for students and 2,200 € (800 € in videoconference) for others. The fees will include full board accommodation, all courses and handling material.
A limited number of scholarships, partially covering the fees, will be awarded to Phd students, selected on the basis of their scientific background and on-going research work.
The scholarship request form can be downloaded from the school web site http://biometrics.uniss.it
Send a filled application form (download from http://biometrics.uniss.it) together with a short resume to:
Prof. Massimo Tistarelli – e-mail: biometricsummerschool@gmail.com
- Submission of applications: February 15th, 2022
- Notification of acceptance: March 20th, 2022
- Registration: April 25th, 2022
Advance pre-registration is strictly required by March 1st 2022
School location
The school will be hosted by Hotel Dei Pini (https://www.hoteldeipini.com/ ) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean Sea. The structure is beautifully immersed into the Capo Caccia bay. The hotel Dei Pini has a recently renovated conference centre, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities.
The school lectures will be delivered as a mixed mode event, allowing both physical (if the medical advice at the time of the school will allow it in full security) and remote attendance with videoconferencing facilities.
- For participants attending in videoconference, live lectures will be delivered online with full sharing of the lecturing material and allowing live interaction with the participants. Private and group meetings with each lecturer will be organised to deepen the discussion started in the class.
- Ad-hoc teleconferencing and communication tools will be also set up for practical hands-on sessions and to allow a good engagement of the participants and the lecturers.
- Open sessions will be organised with questions and answers moderated by the leading experts in the field.
The organisers and all lecturers are fully committed to make this year's school as successful, instructing and inspiring as in the past years.
School Committee:
Massimo Tistarelli
Computer Vision Laboratory – University of Sassari, Italy
Josef Bigun
Department of Computer Science – Halmstad University, Sweden
Enrico Grosso
Computer Vision Laboratory – University of Sassari, Italy
Anil K. Jain
Biometrics laboratory – Michigan State University, USA
Distinguished lecturers from past school editions
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Josef Bigun
Halmstad University – Sweden
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David Meuwly
Netherlands Forensic Institute – NL
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Thirimachos Bourlai
West Virginia University – USA
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Emilio Mordini MD
Responsible Technologies – Italy
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Vincent Bouatou
Safran Morpho – France
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Mark Nixon
University of Southampton – UK
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Kevin Bowyer
University of Notre Dame – USA
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Alice O’Toole
University of Texas – USA
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Deepak Chandra
Google Inc. – USA
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Maja Pantic
Imperial College – UK
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Rama Chellappa
University of Maryland – USA
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Johnathon Phillips
NIST – USA
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John Daugman
University of Cambridge – UK |
Tomaso Poggio
MIT – USA |
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Farzin Deravi
University of Kent – UK
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Nalini Ratha
IBM – USA
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James Haxby
Dartmouth University – USA
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Arun Ross
Michigan State University – USA
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Anil K. Jain
Michigan State University – USA
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Tieniu Tan
CASIA-NLPR – China
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Joseph Kittler
University of Surrey – UK
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Massimo Tistarelli
Università di Sassari – Italy
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Davide Maltoni
Università di Bologna – Italy
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Alessandro Verri
Università di Genova – Italy
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John Mason
Swansea University – UK
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James Wayman
University of San Josè – USA
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Aldo Mattei
Arma dei Carabinieri – Italy
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Lior Wolf
Tel Aviv University – Israel
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March 1st, 2022
Daniela Lopez de Luise
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________________________________________________
Prof. Nikolaos Thomos
CSEE Deputy Director of Research
Computer Science and Electronic Engineering Department
Colchester, United Kingdom
Summer-School-2022-Announcement.pdf