2nd CFP: AI4Narratives@IJCAI2020 – First International Workshop on Artificial Intelligence for Narratives, July 13, 2020 – Yokohama, Japan

COVID-19 Information: It is possible that IJCAI 2020 goes virtual, partially or totally. In any case, the organizers of this workshop intend to assure that it will run as smoothly and as lively as possible. The aim is to keep the community working and keep sharing our discoveries and that every author, interested researcher or practitioner can attend either locally or remotely.

++ CALL FOR PAPERS ++
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First International Workshop on Artificial Intelligence for Narratives (AI4Narratives’20) to be held in conjunction with the 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI2020)

Website: ai4narratives20.inesctec.pt

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++ Important Dates ++
– Submission deadline: April 23rd, 2020
– Acceptance Notification Date: May 20th, 2020
– Camera-ready copies: June 6th, 2020
– Workshop: July 13th, 2020

++ Overview ++

This workshop aims to bring together AI researchers and practitioners working on the topic of Narratives, mainly for those working on NLP, but open to other relevant inputs in this emerging area. We invite researchers and practitioners to submit research papers, demo papers, position papers and nectar papers.

++ List of Topics ++
Contributions on the following topics are welcome, as well as on other not listed but highly relevant topics.

– Narrative Extraction from text, including social media.
– Narrative Understanding.
– Storyfication of non-textual data, including image, video, financial, weather, sports and sensor data.
– Narrative formalisation and reasoning on narratives, including representation formalisms and narrative  calculus.
– Representing Narratives graphically or in other forms of communication, including infographics, cartoons, slide shows, video-clips, video-games, etc.
– Generation of textual narratives, including narrative construction, narrative creation, planning and problem solving for narratives.
– Narrative Temporal Reasoning.
– Bias in Narrative Generation.
– Applications of narrative extraction and generation, including media, health care, science, sports, industry, business and administration, education, recommender systems and XAI.
– Evaluation methodologies for Narrative Extraction and Generation.
– Related methods for narrative construction, including abstractive summarization, reinforcement learning, transfer learning, and so on.

++ Submission Guidelines ++

We encourage the following kinds of submissions:

– Research papers (max 6 pages + references) with original work, promoting and sharing exciting new ideas and fostering discussion or describing well founded impactful applications
– Demo papers (max 3 pages + references) describing relevant tools
– Position papers (max 3 pages + references) describing relevant and supporting points of view, including a description of ongoing projects
– Nectar papers (max 3 pages + references) with a summary of work published in other conferences or journals that is worthwhile sharing with the community

Papers must be submitted electronically in PDF format through EasyChair (easychair.org/conferences/?conf=ai4narratives2020). All submissions must be in English and formatted according to according to the IJCAI format style (www.ijcai.org/authors_kit).

Submissions will be peer-reviewed by at least two members of the programme committee. The accepted papers will appear in the proceedings published at CEUR workshop proceedings (usually indexed on DBLP). We also plan to launch a special journal issue on the topic.

++ Workshop Format ++
Accepted works will be assigned oral presentations and/or demo slots and/or poster presentations.

++ Invited Speakers ++
 TBA

++ Organizing committee ++
– Alípio M. Jorge (INESC TEC; University of Porto, Portugal)
– Ricardo Campos (INESC TEC; Ci2 – Smart Cities Research Center, Polytechnic Institute of Tomar, Tomar, Portugal)
– Adam Jatowt (Kyoto University, Japan)
– Akiko Aizawa (NII Tokyo, Japan)

++ Proceedings Chair ++
− João Paulo Cordeiro (INESC TEC; University of Beira Interior)

++ Media and Dissemination Chair ++
− Arian Pasquali (INESC TEC)
− Brenda Santana (INESC TEC)
– Shamsuddeen Muhammad (INESC TEC)

++ Review Support Chair ++
− Daniel Loureiro (INESC TEC)

++ Program Committee (to be extended) ++

Álvaro Figueira (University of Porto)
Andreas Spitz (École polytechnique fédérale de Lausanne)
António Branco (Universidade de Lisboa)
Arian Pasquali (INESC TEC)
Bruno Martins (IST and INESC-ID – Instituto Superior Técnico, University of Lisbon)
Daniel Loureiro (University of Porto)
Dennis Aumiller (Heidelberg University)
Dhruv Gupta (Max Planck Institute for Informatics)
Dwaipayan Roy (GESIS – Leibniz Institute for the Social Sciences)
Florian Boudin (Université de Nantes)
Georgiana Ifrim (University College Dublin)
Grigorios Tsoumakas (Aristotle University of Thessaloniki)
Joeran Beel (Trinity College Dublin)
Jeremy Pickens (OpenText)
John Shaw-Taylor (University College London)
Kiran Kumar Bandeli (Walmart Inc.)
Marc Spaniol (Université de Caen Normandie)
Mark Finlayson (Florida International University)
Muhammad Syafiq Mohd Pozi (Universiti Utara Malaysia)
Naoya Inoue (Tohoku University)
Nuno Moniz (INESC TEC)
O-Joun Lee (Pohang University of Science and Technology)
Ondrej Dusek (Charles University)
Pablo Gervás (Universidad Complutense de Madrid)
Panote Siriaraya (Kyoto Institute of Technology)
Paulo Quaresma (Universidade de Évora)
Satya Almasian (Heidelberg University)
Sérgio Nunes (University of Porto)
Vítor Mangaravite (Universidade Federal de Minas Gerais)
Vincenzo Lombardo (Università di Torino)
Yijun Duan (Kyoto University)
Yihong Zhang (Osaka University)
Zhiwen Tang (Georgetown University)

++ Contacts ++
Website: ai4narratives20.inesctec.pt
For general inquiries regarding the workshop, reach the organizers at:  amjorge@fc.up.ptricardo.campos@ipt.ptadam@dl.kuis.kyoto-u.ac.jpaizawa@nii.ac.jp

CFP update due to COVID FAPER2020 workshop at ICPR2020 – submission postponed to October 10th, 2020

                     FAPER2020 workshop at ICPR2020
          *** UPDATES in relation to COVID-19 (Coronavirus) ***

       /// SUBMISSION DEADLINE POSTPONED TO OCTOBER 10TH, 2020 \\\

            

CFP UPDATE due to COVID MAES@ICPR2020 workshop – submission postponed to October 10th, 2020

                      MAES2020 workshop at ICPR2020
          *** UPDATES in relation to COVID-19 (Coronavirus) ***

       \\\ SUBMISSION DEADLINE POSTPONED TO OCTOBER 10TH, 2020 ///

           

Extended and reopened deadline: XVII Int.l Summer School on Biometrics 2020 Live!

∞∞ Please accept our sincere apologies for receiving multiple copies of this announcement ∞∞

17th IAPR/IEEE Int.l Summer School for Advanced Studies on
Biometrics for Secure Authentication:

 BIOMETRICS, FORENSICS AND IDENTITY SCIENCE FOR HUMAN-CENTERED APPLICATIONS

Alghero, Italy – June 8-12 2020

 

Contact: tista@uniss.it    http://biometrics.uniss.it

EXTENDED APPLICATION DEADLINE: April 30th 2020
(download the application form at: http://biometrics.uniss.it)

 

Because of the Covid-19 outbreak the classes will be held remotely, and the registration fees considerably reduced, to facilitate participation.

A special keynote lecture will be given by:

prof. Tomaso POGGIO

Massachusetts Institute of Technology, Mc Govern Institute for Brain Research

For the last seventeen 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 Deep Learning approaches? How to deal with adversarial attacks in biometric recognition?

This school follows the successful track of the International Summer Schools on Biometrics held since 2003. In this 17th edition, the courses will mainly focus on new and emerging issues:

       Biometrics for social interactions and emerging applications;

       How to exploit new biometric technologies in forensic and security applications;

       Evaluation and assessment of biometric and forensic applications;

       Deep Learning for biometrics and forensic identification.

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 school will be open to about 50 highly qualified, motivated and pre-selected applicants. Phd students, post-docs, researchers, forensic examiners, police officers and professionals are encouraged to apply. The expected school fees will be in the order of 400 € for Phd students and 800 € for others (subject to change). The fees will include all courses and handling material. A number of scholarships, 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.

 

Phd students, researchers and post-docs are encouraged to submit a short paper (6 pages maximum) for an oral presentation on their recent research activity. Virtual poster boards will be also available to all participants to display their current research advances.

 

Send a filled application form (download from http://biometrics.uniss.it) together with a short curriculum vitae to:       Prof. Massimo Tistarelli – e-mail: biometricsummerschool@gmail.com 

 

School location

The school lectures will be delivered remotely by videoconferencing facilities.

1.     Live lectures will be delivered online with full sharing of the lecturing material and allowing live interaction with the participants.

2.     Private and group meetings with each lecturer will be organised to deepen the discussion started in the class.

3.     Ad-hoc teleconferencing tools will be set up for practical hands-on sessions.

4.     Open sessions will be organised with questions and answers directed by the leading experts in the field.

 

The organisers and all lecturers are fully committed to make this year's school even more successful, instructing and inspiring than 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

Josef Bigun

Halmstad University – Sweden

David Meuwly

Netherlands Forensic Institute – NL

Thirimachos Bourlai

West Virginia University – USA

Emilio Mordini MD

Responsible Technologies – Italy

Vincent Bouatou

Safran Morpho – France

Mark Nixon

University of Southampton – UK

Deepak Chandra

Google Inc. – USA

Alice O’Toole

University of Texas – USA

Rama Chellappa

University of Maryland – USA

Maja Pantic

Imperial College – UK

John Daugman

University of Cambridge – UK

Johnathon Phillips

NIST – USA

Farzin Deravi

University of Kent – UK

Nalini Ratha

IBM – USA

James Haxby

Dartmouth University – USA

Arun Ross

Michigan State University – USA

Anil K. Jain

Michigan State University – USA

Tieniu Tan

CASIA-NLPR – China

Joseph Kittler

University of Surrey – UK

Massimo Tistarelli

Università di Sassari – Italy

Davide Maltoni

Università di Bologna – Italy

Alessandro Verri

Università di Genova – Italy

John Mason

Swansea University – UK

James Wayman

University of San Josè – USA

Aldo Mattei

Arma dei Carabinieri – Italy

Lior Wolf

Tel Aviv University – Israel

 

ATQAM (ACM MM 2020 Workshop on Aesthetic and Technical Quality Assessment of Multimedia)

ATQAM: 1st Workshop on Aesthetic and Technical Quality Assessment of Multimedia (ATQAM)

Co-located with ACM Multimedia 2020 in Seattle, USA

https://atqam-workshop.net/

Important Dates (all by midnight, AoE)

  • Paper submission deadline: June 29, 2020

  • Author notification: August 2, 2020

  • Camera-ready submission: August 16, 2020

  • Workshop date: October 12 or 16, 2020 (TBC)

Call for Contributions

This workshop aims to bring together researchers from the two fields of technical quality assessment (TQA) and aesthetic quality assessment (AQA) for sharing of ideas and discussion on current trends, developments, issues, and future directions, with the vision to accelerate the progress of research in both fields. Our hope is that the bridging between TQA and AQA will result in better understanding of quantitative measures of quality of experience in the broader context of multimedia applications. The scope of this workshop spans the following categories:

Analysis and prediction of aesthetic and technical visual quality:

  • Traditional and deep-learning-based approaches

  • Aesthetics/QoE related concepts, e.g. interestingness, popularity, viralness

Datasets for TQA and AQA, including:

  • New approaches to data collection procedures and sources

  • New data augmentation methods

Applications of TQA and AQA in computer vision or image processing tasks:

  • Visual filtering and retrieval (recommendation, image gallery/video)

  • Visual editing (recomposition, retargeting, cropping)

  • Assessment guided visual enhancement

  • Real-world systems and applications

  • Applications to media such as light fields, 360 or stereo, point clouds.

Invited Speakers

Alan Conrad Bovik Professor, UT-Austin, Primetime Emmy Award Winner for the development of video quality measurement tools that are now standards in television production.

James Z. Wang Professor, Penn. State University, Pioneering researcher in the field of aesthetics quality assessment

Paper Submissions

Original contributions: Full 6 – 8 page paper submissions (not including references).

All contributions must be submitted through CMT using the following link:

https://cmt3.research.microsoft.com/ATQAM2020

For more information, please visit the workshop website: https://atqam-workshop.net/

Organizing Committee

Wen-Huang Cheng, National Chiao Tung University, Taiwan

Bastian Goldlücke, University of Konstanz, Germany

Vlad Hosu, University of Konstanz, Germany

Dietmar Saupe, University of Konstanz, Germany

Weisi Lin, Nanyang Technological University, Singapore

John See, Multimedia University, Malaysia

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