Connectionists: ICMI 2020: Final Call for Long and Short Papers

Submission Update
Dear all,

We have decided to allow replacing the paper pdf for a week past submission deadline, that is, until June 5 (23:59 GMT-7). The original submission deadline (May 29) stays the same, and the title, abstract, and author list can't be changed after that, since we will start the review bidding process immediately.

Best,
the organizing team of ICMI2020.
***************************************

Call for Long and Short Papers

The 22nd International Conference on Multimodal Interaction (ICMI 2020) will be held in Utrecht, the Netherlands.  ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction analysis, interface design, and system development.

We are keen to showcase novel input and output modalities and interactions to the ICMI community. ICMI 2020 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), demonstrations, exhibits and doctoral spotlight papers. The conference will also feature workshops and grand challenges. The proceedings of ICMI 2020 will be published by ACM as part of their series of International Conference Proceedings and Digital Library.

We also want to welcome conference papers from behavioral and social sciences. These papers allow us to understand how technology can be used to increase our scientific knowledge and may focus less on presenting technical or algorithmic novelty. For this reason, the “novelty” criteria used during ICMI 2020 review will be based on two sub-criteria (i.e., scientific novelty and technical novelty as described below). Accepted papers at ICMI 2020 only need to be novel on one of these sub-criteria. In other words, a paper which is strong on scientific knowledge contribution but low on algorithmic novelty should be ranked similarly to a paper that is high on algorithmic novelty but low on knowledge discovery.

– Scientific Novelty: Papers should bring some new knowledge to the scientific community. For example, discovering new behavioral markers that are predictive of mental health or how new behavioral patterns relate to children’s interactions during learning. It is the responsibility of the authors to perform a proper literature review and clearly discuss the novelty in the scientific discoveries made in their paper.
– Technical Novelty: Papers reviewed with this sub-criterion should include novelty in their computational approach for recognizing, generating or modeling data. Examples include: novelty in the learning and prediction algorithms, in the neural architecture, or in the data representation. Novelty can also be associated to a new usage of an existing approach.

Please see the Submission Guidelines for Authors https://icmi.acm.org/2020/index.php?id=authors for detailed submission instructions.

This year’s conference theme: In this information age, technological innovation is at the core of our lives and rapidly transforming and impacting the state of the world in art, culture, and society, and science as well – the borders between classical disciplines such as humanities and computer science are fading. In particular, we wonder how multimodal processing of human behavioural data can create meaningful impact in art, culture, and society practices. And vice versa, how does art, culture, and society influence our approaches and techniques in multimodal processing? As such, this year, ICMI welcomes contributions on our theme for Multimodal processing and representation of Human Behaviour in Art, Culture, and Society.

Additional topics of interest include but are not limited to:

– Affective computing and interaction
– Cognitive modeling and multimodal interaction
– Gesture, touch and haptics
– Healthcare, assistive technologies
– Human communication dynamics
– Human-robot/agent multimodal interaction
– Interaction with smart environment
– Machine learning for multimodal interaction
– Mobile multimodal systems
– Multimodal behavior generation
– Multimodal datasets and validation
– Multimodal dialogue modeling
– Multimodal fusion and representation
– Multimodal interactive applications
– Speech behaviors in social interaction
– System components and multimodal platforms
– Visual behaviours in social interaction
– Virtual/augmented reality and multimodal interaction

Important Dates

Paper Submission: May 29, 2020 (EXTENDED)
Reviews to authors: July 15, 2020
Rebuttal due: July 20, 2020
Paper notification: August 7, 2020
Camera-ready paper:  September 2, 2020  
Presenting at main conference: October 25-29, 2020     

Connectionists: ICMI 2020: Final Call for Long and Short Papers

Submission Update
Dear all,

We have decided to allow replacing the paper pdf for a week past submission deadline, that is, until June 5 (23:59 GMT-7). The original submission deadline (May 29) stays the same, and the title, abstract, and author list can't be changed after that, since we will start the review bidding process immediately.

Best,
the organizing team of ICMI2020.
***************************************

Call for Long and Short Papers

The 22nd International Conference on Multimodal Interaction (ICMI 2020) will be held in Utrecht, the Netherlands.  ICMI is the premier international forum for multidisciplinary research on multimodal human-human and human-computer interaction, interfaces, and system development. The conference focuses on theoretical and empirical foundations, component technologies, and combined multimodal processing techniques that define the field of multimodal interaction analysis, interface design, and system development.

We are keen to showcase novel input and output modalities and interactions to the ICMI community. ICMI 2020 will feature a single-track main conference which includes: keynote speakers, technical full and short papers (including oral and poster presentations), demonstrations, exhibits and doctoral spotlight papers. The conference will also feature workshops and grand challenges. The proceedings of ICMI 2020 will be published by ACM as part of their series of International Conference Proceedings and Digital Library.

We also want to welcome conference papers from behavioral and social sciences. These papers allow us to understand how technology can be used to increase our scientific knowledge and may focus less on presenting technical or algorithmic novelty. For this reason, the “novelty” criteria used during ICMI 2020 review will be based on two sub-criteria (i.e., scientific novelty and technical novelty as described below). Accepted papers at ICMI 2020 only need to be novel on one of these sub-criteria. In other words, a paper which is strong on scientific knowledge contribution but low on algorithmic novelty should be ranked similarly to a paper that is high on algorithmic novelty but low on knowledge discovery.

– Scientific Novelty: Papers should bring some new knowledge to the scientific community. For example, discovering new behavioral markers that are predictive of mental health or how new behavioral patterns relate to children’s interactions during learning. It is the responsibility of the authors to perform a proper literature review and clearly discuss the novelty in the scientific discoveries made in their paper.
– Technical Novelty: Papers reviewed with this sub-criterion should include novelty in their computational approach for recognizing, generating or modeling data. Examples include: novelty in the learning and prediction algorithms, in the neural architecture, or in the data representation. Novelty can also be associated to a new usage of an existing approach.

Please see the Submission Guidelines for Authors https://icmi.acm.org/2020/index.php?id=authors for detailed submission instructions.

This year’s conference theme: In this information age, technological innovation is at the core of our lives and rapidly transforming and impacting the state of the world in art, culture, and society, and science as well – the borders between classical disciplines such as humanities and computer science are fading. In particular, we wonder how multimodal processing of human behavioural data can create meaningful impact in art, culture, and society practices. And vice versa, how does art, culture, and society influence our approaches and techniques in multimodal processing? As such, this year, ICMI welcomes contributions on our theme for Multimodal processing and representation of Human Behaviour in Art, Culture, and Society.

Additional topics of interest include but are not limited to:

– Affective computing and interaction
– Cognitive modeling and multimodal interaction
– Gesture, touch and haptics
– Healthcare, assistive technologies
– Human communication dynamics
– Human-robot/agent multimodal interaction
– Interaction with smart environment
– Machine learning for multimodal interaction
– Mobile multimodal systems
– Multimodal behavior generation
– Multimodal datasets and validation
– Multimodal dialogue modeling
– Multimodal fusion and representation
– Multimodal interactive applications
– Speech behaviors in social interaction
– System components and multimodal platforms
– Visual behaviours in social interaction
– Virtual/augmented reality and multimodal interaction

Important Dates

Paper Submission: May 29, 2020 (EXTENDED)
Reviews to authors: July 15, 2020
Rebuttal due: July 20, 2020
Paper notification: August 7, 2020
Camera-ready paper:  September 2, 2020  
Presenting at main conference: October 25-29, 2020     

Call for Chapters: Blockchain Applications in IoT: Principles and Practices

Web version
Forward

Call for Chapters

Book title:

Blockchain Applications in IoT: Principles and Practices

Submission Deadline for Chapter Proposals: June 5, 2020
Submission Deadline for Full Chapter: October 15, 2020 (tentative)

Publication Opportunities

Chapters will be published in the EAISICC book series:
EAI/Springer Innovations in Communications and Computing
NEWS – now indexed in SCOPUS!

Scope

This book focuses on the fundamentals of Blockchain technology along with the means and methods of its integration with Internet of Things (IoT). It allows the reader to have a deeper understanding of Blockchain technology, IoT and various application areas wherein both the technologies can be implemented. The book serves the purpose of providing adequate knowledge about the fundamentals of Blockchain & IoT to a common reader along with facilitating a research scholar identify some futuristic problem areas that emerge from the convergence of both technologies. Furthermore, the authors discusses relevant application areas such as smart city, e-healthcare, smart travel, etc. along the course of the book. The book also talks through few popular case studies illustrating the implementation and benefits of using Blockchain & IoT We hope that are efforts are appreciated and the reader benefits from this book (read more).

Key Points:

  • The book provides a comprehensive view of Blockchain technology and its integration with IoT
  • The book facilitates its reader in having valuable understanding of various application areas pertaining to Blockchain & IoT
  • The book assists the reader in exploring new research areas wherein Blockchain
    & IoT can find there’re applicability based upon their list of benefits

Submit Chapter Proposal

Editors

Dr. Tanupriya Choudhury – Assoc. Professor; University of Petroleum and Energy Studies, India

Mr. Abhirup Khanna – Assist. Professor; University of Petroleum and Energy Studies, India

Dr. Teoh Teik Toe – Academic Director and Senior Lecturer NTU, Singapore

Mrs. Madhu Khurana – Queens University Belfast, United Kingdom

Dr. Nguyen Gia Nhu – Dean of Graduate School- Duy Tan University, Viet Nam

Important dates

Submission Deadline for Chapter Proposals: June 5, 2020

Submission Deadline for Full Chapter: October 15, 2020 (tentative)


follow us!

CVML Web lectures 27th May 2020: 1) Artificial Neural Networks. Perceptron 2) Multilayer perceptron. Backpropagation

 

Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to have launched the live CVML Web lecture series that covers very important Computer Vision/Machine Learning topics. Two new upcoming 45 min lectures will take place soon:

 

1) Artificial Neural Networks. Perceptron

2) Multilayer perceptron. Backpropagation

 

Date/time: Wednesday 27th May 2020, 17:00-18:30 EEST for both lectures (7:00-8:30 am California time, 10:00-11:30 am New York time, 22:00-23:30 Beijing time).

 

Registration  can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/

Registration for asynchronous access to CVML live Web lecture material (video, pdf/ppt) for any past/present lecture can be done using the link: http://icarus.csd.auth.gr/cvml-web-lecture-series/

 

Lecture abstracts

1) Artificial Neural Networks. Perceptron, Wednesday 27th May 2020, 17:00-17:45 EEST

Summary: This lecture will cover the basic concepts of Artificial Neural Networks (ANNs): Biological neural models, Perceptron, Activation functions, Loss types, Steepest Gradient Descent, On-line Perceptron training, Batch Perceptron training.

2) Multilayer perceptron. Backpropagation, Wednesday 27th May 2020, 17:45-18:30 EEST

Summary: This lecture will cover the basic concepts of Multi-Layer Perceptron (MLP), Training MLP neural networks, Activation functions, Loss types, Gradient descent, Error Backpropagation, Stochastic Gradient Descent, Adaptive Learning Rate Algorithms, Regularization, Evaluation, Generalization.

Lecturer: Prof. Ioannis Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) received the Diploma and PhD degree in Electrical Engineering, both from the Aristotle University of Thessaloniki, Greece. Since 1994, he has been a Professor at the Department of Informatics of the same University. His current interests are in the areas of machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 860 papers, contributed in 44 books in his areas of interest and edited or (co-)authored another 11 books. He has also been member of the program committee of many scientific conferences and workshops. In the past he served as Associate Editor or co-Editor of 9 international journals and General or Technical Chair of 4 international conferences. He participated in 69 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 41 such projects. He has 31000+ citations to his work and h-index 83+ (Google Scholar). Prof. Pitas lead the big European H2020 R&D project MULTIDRONE: https://multidrone.eu/ and is principal investigator (AUTH)  in H2020 projects Aerial Core and AI4Media. He is chair of the Autonomous Systems initiative https://ieeeasi.signalprocessingsociety.org/.

Lecturing record of Prof. I. Pitas: He was Visiting/Adjunct/Honorary Professor/Researcher and lectured at several Universities: University of Toronto (Canada), University of British Columbia (Canada), EPFL (Switzerland), Chinese Academy of Sciences (China),  University of Bristol (UK), Tampere University of Technology (Finland), Yonsei University (Korea), Erlangen-Nurnberg University (Germany), National University of Malaysia, Henan University (China). He delivered 90 invited/keynote lectures in prestigious international Conferences and top Universities worldwide. He run 17 short courses and tutorials on Autonomous Systems, Computer Vision and Machine Learning, most of them in the past 3 years in many countries, e.g., USA, UK, Italy, Finland, Greece, Australia, N. Zealand, Korea, Taiwan, Sri Lanka, Bhutan.

Relevant links: a) Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el  b) AIIA Lab www.aiia.csd.auth.gr

 

General information: Lectures will consist primarily of live lecture streaming and PPT slides. Attendees (registrants) need no special computer equipment for attending the lecture. They will receive the lecture PDF before each lecture and will have the ability to ask questions real-time. Audience should have basic University-level undergraduate knowledge of any science or engineering department (calculus, probabilities, programming, that are typical e.g., in any ECE, CS, EE undergraduate program).  More advanced knowledge (signals and systems, optimization theory, machine learning) is very helpful but nor required.

 

These two lectures are part of a 15 lecture CVML web course ‘Computer vision and machine learning for autonomous systems’ (April-June 2020):

 

Introduction to autonomous systems                                                               (delivered 25th April 2020)

Introduction to computer vision                                                                        (delivered 25th April 2020)

Image acquisition, camera geometry                                                                (delivered   2nd May 2020)

Stereo and Multiview imaging                                                                            (delivered   2nd  May 2020)

Structure from Motion                                                                                         (delivered   9th May 2020)

2D convolution and correlation algorithms                                                  (delivered   9th May 2020)

Motion estimation                                                                                         (delivered   20th May 2020)

Introduction to Machine Learning                                                                (delivered   20th May 2020)

Artificial Neural Networks. Perceptron

Multilayer perceptron. Backpropagation

Deep neural networks, Convolutional NNs

Deep learning for object/target detection

Object tracking

Localization and mapping

Fast convolution algorithms. CVML programming tools.

 

Sincerely yours

Prof. Ioannis Pitas

Director of Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece

 

Post scriptum: To stay current on CVMl matters, you may want to register to the CVML email list, following instructions in https://lists.auth.gr/sympa/info/cvml

MAST@ACM MM’20

Dear Colleagues,

(Apologies for crossposting)

The 3rd Workshop on Multimedia Analytics for Societal Trend (MAST) will be held in conjunction with ACM Multimedia<https://2020.acmmm.org/call-for-paper.html>, Seattle, Oct 2020.
Workshop webpage: https://sail.usc.edu/~mica/mast

MAST looks beyond traditional media analysis to focus on the human factors in media. We believe it is an exciting time for multimedia researchers to develop novel methodologies, techniques and applications for human-centered analytics, insight generation, improve individual and social experience, and understand societal impact of media.

We invite you to submit original work (4-6 pages) on multimedia (audio, video, text) related (but not limited) to the following topics.

  *  Quantifying and analyzing media impact at individual, group and societal level
  *   Affect in media
     *   Affect prediction and analysis
     *   Expressed vs. perceived affect in multimedia
     *   Therapeutic uses of media forms
  *  Computational narratology
     *   Understanding narratives, tropes and character portrayals in the societal context.
     *   Computational analysis of storytelling
     *   Interaction among characters in media content
  *   Algorithms and Methodologies
     *   Data mining large media corpus
     *   Semi-supervised and self-supervised learning for media content

Key dates
  *   Paper submission: July 30, 2020
  *   Notification of acceptance : August 26, 2020
Papers can be 4-6 pages with an extra page for references. The workshop will include poster presentations for submitted papers, invited talks and panel discussions.

We look forward to your contributions.

Best,
Tanaya Guha (on behalf of the organising committee)
University of Warwick, UK

Best,
Tanaya

Design by 2b Consult