Call for Entries: 2020 Immersive Learning Project Showcase & Competition

May 5th, 2020 Daniela Lopez de Luise

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IMMERSIVE LEARNING PROJECT SHOWCASE & COMPETITION
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[ PDF version available here: https://bit.ly/2VZXPkb ]

The Immersive Learning Research Network (iLRN) welcomes submissions for its Immersive Learning Project Showcase & Competition as part of the iLRN 2020 Virtual Conference (http://immersivelrn.org/ilrn2020). This is an opportunity for academics, students, professionals, and institutions/organizations to gain widespread exposure and acclaim for their innovative work in developing VR/AR/MR (XR) and immersive experiences that support learning in a range of sectors and contexts, as well as to have the work considered for inclusion in the Collection of Exemplars that is being developed as part of The State of XR and Immersive Learning project.

Showcase & Competition contributions may be in the form of:

– a 2D or 360-degree video demonstration/tour/walkthrough of the project/experience;
– a 2D web-based gallery of graphics, animations, and/or other multimedia artifacts;
– an interactive 3D virtual world or environment highlighting and demonstrating the key features and elements of the project/experience;
– a combination of any of the above.

In the first instance, prospective contributors are asked to complete the proposal form no later than May 11, 2020, and those who are shortlisted to participate will be contacted by May 18, 2020 with further instructions. Shortlisted contributors must register for the conference by May 23, 2020 and will have until June 15, 2020 to prepare their Showcase contribution.

#### Proposal Shortlisting and Preparation of Showcase Contributions ####

The process used to shortlist and select proposals to progress to the Showcase & Competition will give preference to individuals and teams who will also be delivering papers/presentations at the virtual conference that are related to their intended Showcase & Competition contributions.

Each individual or team contributor whose proposal is selected will be assigned a WebXR space in which to construct their Showcase contribution (exhibit) by populating it with a variety of media types and artifacts. A link to the experience itself, or to a website/portal from which it can be downloaded, may also optionally be included, but only if it is freely accessible and not behind a paywall. Additionally, subject to space availability, it may be possible for contributors to supply Unity assets for porting into the virtual conference venue where the conference activities will take place.

Showcase & Competition contributors must register for and attend the conference, and will need to make themselves available to meet and present to/talk with conference attendees about their projects at designated times during the conference program schedule.

Awards will be presented for the best contributions, and individuals/teams whose projects are selected for the State of XR and Immersive Learning Exemplar Collection will receive Certificates of Commendation.

#### Judging Criteria ####

Contributions will be evaluated based on the following key criteria:

1. Demonstration of appropriate and innovative use of the unique affordances of the relevant technologies/media (in both the project being showcased as well as the Showcase contribution itself);
2. Application of established and sound learning/instructional design principles;
3. Adoption of a learning-science-informed and research-grounded approach to the design and development process;
4. Accommodation of and support for diverse learners, including marginalized groups;
5. Strength and thoughtfulness of connections made to one or more 2020 State of XR and Immersive Learning topic categories;
6. Overall contribution to research and/or practice in the field of XR and immersive learning.

As a central part of iLRN's mission is the cultivation of an evidence base to guide/inform the creation of effective and engaging XR and immersive learning experiences, contributions that include an empirical evaluation component attesting to "what works" (and/or what doesn't!) will be looked upon favorably by the Awards Committee-although such a component is not a strict requirement. Additionally, in line with iLRN's open science-open design-open access ethos, we strongly encourage and will give preference to contributions showcasing XR and immersive learning experiences that have been made freely and openly available to the public (e.g., under a Creative Commons license).

#### Important Dates ####

– FINAL extended Showcase proposal submission deadline: May 11, 2020
– Notification of proposal review outcomes: May 18, 2020
– Presenter registration deadline: May 23, 2020
– Deadline for completion of development of Showcase contributions: June 15, 2020
– Conference opening: June 21, 2020

#### Submitting a Proposal ####

Proposal submission for the Immersive Learning Project Showcase & Competition is via this form: https://forms.gle/BoawyE8C2VMERZDa8

#### Contact ####

Inquiries regarding the Immersive Learning Project Showcase & Competition may be directed to stateofxr@immersivelrn.org.

*** Please note that the Immersive Learning Project Showcase & Competition is not intended as a forum for promoting commercial products and/or services. Vendors and other business interested in gaining exposure at the conference should consider purchasing a sponsorship or exhibition package. ***

(Sent to: cvml@lists.auth.gr )

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CVML live Web lectures 9th May 2020: 1) Structure from Motion 2) 2D convolution and correlation algorithms

May 4th, 2020 Daniela Lopez de Luise

Dear Computer Vision/Machine Learning/Autonomous Systems students,  engineers, scientists and enthusiasts,

 

Artificial Intelligence and Information analysis (AIIA) Lab, Aristotle University of Thessaloniki, Greece is proud to launch the live CVML Web lecture series

that will cover very important topics Computer vision/machine learning. Two lectures will take place on Saturday 9th May 2020:

 

1) Structure from Motion 

2) 2D convolution and correlation algorithms

 

Date/time:

a) Saturday 11:00-12:30 EET (17:00-18:30 Beijing time) for audience in Asia and will be repeated

b) Saturday 20:00-21:30 EET (13:00-14:30 EST, 10:00-11:30 PST for NY/LA, respectively) for audience in the Americas.

 

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

From this week onwards, asynchronous access to past CVML live Web lecture material (video, pdf/ppt) will be allowed. Separate email will be sent for this option.

 

Lectures abstract

 

1) Structure from Motion 

Summary: Image-based 3D Shape Reconstruction, Stereo and multiview imaging principles. Feature extraction and matching. Triangulation and Bundle Adjustment. Mathematics of structure from motion. UAV image capturing. Optimal UAV flight trajectory/flight height/viewing angle/image overlap ratio. Pre/post-processing for 3D reconstruction: flat surface smoothing/mesh modification/isolated point removal.  Structure from motion applications: 3D face reconstruction from uncalibrated video. 3D landscape reconstruction. 3D building/monument reconstruction and modeling,

 

2) 2D convolution and correlation algorithms

Summary: 2D convolutions play an extremely important role in machine learning, as they form the first layers of Convolutional Neural Networks (CNNs). They are also very important for computer vision (template matching through correlation, correlation trackers) and in image processing (image filtering/denoising/restoration). 3D convolutions are very important for machine learning (video analysis through CNNs) and for video filtering/denoising/restoration. 1D convolutions are extensively used in digital signal processing (filtering/denoising)  and analysis (also through CNNs). Therefore, 2D convolution and correlation algorithms are very important both for machine learning and for signal/image/video processing and analysis. As their computational complexity is of the order O(N^4), their fast execution is a must. This lecture will overview 1D/2D linear and cyclic convolution. Then it will present their fast execution through FFTs, resulting in algorithms having computational complexity of the order O(Nlog2N), O(N^2log2N) for 1D and 2D convolutions respectively. Parallel block-based 2D convolution/calculation methods will be overviewed.  The use of 2D convolutions in Convolutional Neural Networks will be presented.

 

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. He served as a Visiting Professor at several Universities.

His current interests are in the areas of image/video processing, machine learning, computer vision, intelligent digital media, human centered interfaces, affective computing, 3D imaging and biomedical imaging. He has published over 1138 papers, contributed in 50 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 70 R&D projects, primarily funded by the European Union and is/was principal investigator/researcher in 42 such projects. He has 30000+ citations to his work and h-index 81+ (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/.

Prof. I. Pitas: https://scholar.google.gr/citations?user=lWmGADwAAAAJ&hl=el

AIIA Lab www.aiia.csd.auth.gr

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 14 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)

3D object/building/monument reconstruction and modeling

Signals and systems. 2D convolution/correlation

Motion estimation

Introduction to Machine Learning

Introduction to neural networks, 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 AIIA Lab, Aristotle University of Thessaloniki, Greece

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D3S 2020 is Open for Submissions! EAI International Conference on Dependable and Secure Smart Spaces

April 29th, 2020 Daniela Lopez de Luise

Web version

December 2 – 4, 2020 | Viana do Castelo, Portugal
Submission Deadline: June 22, 2020
EAI is actively monitoring the COVID-19 situation to ensure the safety, comfort and quality of experience for attendees and a successful course of the event.

If required, the conference will be postponed (to a later date) or held in an interactive, live online setting. EAI is committed to holding the conference in 2020.

All matters related to publication and indexing remain unchanged,
as well as the original location.

We will keep you informed of any changes in the event well in advance.
sCOPE
The smart environments aim to improve the interaction between humans and their surroundings. These smart spaces usually contain smart devices that will process and exchange data in order to seamlessly provide services and immersive experiences to users and clients. In these environments the security of the devices, communications and data plays a fundamental role since user data is gathered, processed and exchanged.

The Conference on Dependable and Secure Smart Spaces (D3S) aims to bring together worldwide researchers to share and discuss recent security related challenges and opportunities arising when deploying smart spaces and environments.

We are pleased to invite you to submit your paper to D3S 2020. Submissions should be in English, following the Springer formatting guidelines (see Submission). 
Submit Paper
Read More: Call for Papers
EAI Community Benefits
Granting you visibility and fair review through
Community Review.
Credits counting towards your EAI Index, membership ranks and global recognition.
Receive invaluable real-time feedback on your presentation on-site via EAI Compass.
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). 

Authors of selected papers will be invited to extend their papers for publication in:

Additional publication opportunities:
    Important dates

    Full Paper Submission Deadline: June 22, 2020

    Notification Deadline: august 3, 2020

    Camera-ready deadline: september 4, 2020 

    Conference dates: december 2 – 4, 2020
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    (Deadline tomorrow on Wednesday, April 29) IEEE RO-MAN 2020 Special Session on Applied Emotion/Mind-Aware Neuroimaging in Real-world Human-Robot

    April 28th, 2020 Daniela Lopez de Luise

    29th IEEE International Conference on Robot and Human Interactive Communication

    (IEEE RO-MAN2020)

     

    SPECIAL SESSION

    Applied Emotion/Mind-Aware Neuroimaging in Real-world Human-Robot Symbiosis with Heart, Mind, and Soul

    (Website: http://ro-man2020.unina.it/special-sessions.php)


    CALL FOR PAPERS

     

    (Download CFP: https://tinyurl.com/tgvhue5)

    Title

     

    Applied Emotion/Mind-Aware Neuroimaging in Real-world Human-Robot Symbiosis with Heart, Mind, and Soul

     

     

    Motivation and goals

     

    Wearable technologies that connect human with the surrounding smart environment could potentially replace the cellphone and other cumbersome tablet/laptops to become the next generation human-computer interface. It opens a new frontier of using stretchable, sticky and flexible body sensors, galvanic skin response (GSR), photoplethysmogram (PPG), inertial measurement unit (IMUs), and neurophysiological electrodes, such as EEG/EMG/ECG/EKG to measure various brain and body activity signals, and decode meaningful information for multi-modal interactions.

     

    Such dramatic shift of paradigm can be manifested in many technology development from big companies/startups, like Google, Apple, Microsoft, Facebook, Samsung and Neuralink (Elon Musk), etc., to build more mobile, invisible, ubiquitous, compact computing platforms, such as smart watches, smart glasses, smart headphones, VR/AR headsets, and state-of-the-art Brain-Computer Interfaces (BCIs), in which the devices embed various kinds of sensors and electrodes to directly/indirectly interpret human body states, intentions, emotions and/or even high level motivations from neural signals, while other “out-of-body” sensors, like cameras, could not observe.

     

    Along with the scientific and practical implementation challenges of such technology, the personal big data collection also brings a lot of social norms, privacy and ethical issues as well. In this Special Session, we want to solicit impactful paper contributions to push the boundary to the limit, in order to explore the most critical issues in applying this futuristic technology to the real-world environment. Since our human have complex behaviors, which involve multiple disciplinary explanations, the technologies that closely-interact and solve the human-related problems should also reflect such complex multidisciplinary nature. As part of purely theoretical findings, we will also create a multidisciplinary educational and discussion forum, in which we will have industrial applications, art and design, consumer electronics, embedded system and mobile computing, Human-Robot Neural Interaction (HRNI) user experience/interface (UX/UI) design, and social norm and ethical paper presentations to discuss the emotion/mind-aware data collection and the use of AI to fully release the potential of this promising technology. Hopefully our dedicated effort of organizing this Special Session focusing on Emotion/Mind-Aware Neuroimaging could make such futuristic promising technology more human-centered, with more human-like heart, mind, and soul to interact with the people, the robot, and all other smart IoT devices, to enable a seamless Human-Robot Symbiotic society.

     

    Areas of interest include but are not limited to:

     

    List of Topics

     

    • Affective Computing
    • Wearable Platform and Wearable Device Form Factor Design
    • Soft Robotics
    • AI, Big Data, IoT, Deep Learning
    • Machine Learning and Biosignal Processing
    • Brain-Computer Interface and Physiological Signal Measurement
    • Invasive and Non-Invasive Brain-Computer Interface
    • Wearable Computing and Embedded System, IC/SoC design
    • Consumer Electronics Applications
    • Cloud/Edge Computing
    • Human-Robot/Computer Interaction
    • Neuroprosthesis, Exoskeleton, Rehabilitation robot
    • Biofeedback/Neurofeedback Training
    • Human-Robot Neural Interaction (HRNI) User Experience/Interface Design
    • Human-Centered Natural Interaction Design
    • Social Norms and Ethical issues of Using Emotion-Aware Big Data

     

     

    PAPER SUBMISSIONS

     

    Authors are invited to submit a 6~8-page (regular) Special Session paper via RO-Man 2020 portal in Papercept (https://ras.papercept.net/) using Special Session code (Code: gxf38). Manuscripts are in double-column IEEE format following the official IEEE Manuscript Formatting guidelines. Review will be single-blind, so please retain all authors information in the submissions. Also consider the IEEE policies for publications. The conference proceedings will be included in the IEEE Xplore Digital Library.


    Submission link

     

    https://ras.papercept.net/ 

     

    Submission Code

     

    "gxf38"


    SPECIAL ANNOUNCEMENT


    Due to COVID-19, we are now accepting "Video Live Streaming" and/or "Video Recording" presentations, so the accepted papers can be presented remotely! The paper submission deadline has been extended to the 29th of April to provide authors of the time to produce their best work, despite the many additional challenges we are facing at the moment. We are considering alternatives to allow for remote participation to both the main conference and workshops should disruptions still occur in September. All accepted papers will be published in the conference proceedings and uploaded to IEEE Xplore, regardless of whether a physical or virtual presentation will be given.

     


    IMPORTANT DATES

     

    • Submission deadline for full papers: April 29, 2020 (extended)
    • Notifications: June 15, 2020
    • Final camera ready deadline: June 30, 2020
    • Conference: August 31 – September 4, 2020

     

    ORGANIZERS

     

     

    Ker-Jiun Wang (University of Pittsburgh)

    Mohammad Shidujaman (Tsinghua University)

    Caroline Yan Zheng (Royal College of Art)

    Maitreyee Wairagkar (Imperial College of London)

    Midori Sugaya (Shibaura Institute of Technology)

    Zhi-Hong Mao (University of Pittsburgh)

    Kai-Tai Song (National Chiao Tung University)


    Kindest regards, 
    Ker-Jiun Wang, PhD
    Department of Bioengineering
    University of Pittsburgh

    On Behalf of Organizing Committees of Applied Emotion/Mind-Aware Neuroimaging in Real-world Human-Robot Symbiosis with Heart, Mind, and Soul

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    Call for papers – International Joint Conference on Biometrics 2020

    April 28th, 2020 Daniela Lopez de Luise
    **************************************************************************
    CALL FOR PAPERS
    International Joint Conference on Biometrics (IJCB 2020)
    Houston, USA
    September 28 – October 1, 2020

    http://ieee-biometrics.org/ijcb2020/

    ** IJCB 2020 Important dates **
    Paper submission (extended to): June 8, 2020
    Notifications to authors: July 28, 2020

    The submission system is now open and accepting papers.

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

    The 2020 International Joint Conference on Biometrics (IJCB 2020)
    combines two major biometrics research conferences, the Biometrics
    Theory, Applications and Systems (BTAS) conference and the International
    Conference on Biometrics (ICB). The blending of these two conferences in
    2020 is through a special agreement between the IEEE Biometrics Council
    and the IAPR TC-4, and should present an exciting event for the entire
    worldwide biometrics research community.

    ** TOPICS OF INTEREST **

    ** Biometrics **
    + Physiological and Behavioral Biometrics
    + Identity Management
    + Person Re-identification
    + Social Biometrics
    + Soft biometrics
    + Multimodal Biometrics
    + Novel biometrics applications
    + Deep learning methods in biometrics
    + Mobile biometrics
    + Continuous authentication

    ** Security **
    + Device Identification
    + Privacy of Personal Identification Data
    + Privacy-preserving Computing
    + Usable Privacy and Security
    + Presentation attacks
    + Blockchain and biometrics
    + Adversarial learning
    + Presentation Attacks and Countermeasures
    + Biometric Template Protection

    ** Behavior Analysis **
    + Human Behavior Analysis
    + Behavior Modeling
    + Modeling the Interplay of Behavioral Modalities with Applications in
    Biometrics and Security

    ** Forensics **
    + Surveillance
    + Pattern and Impression matching
    + Applications of Biometrics in Forensics & Law Enforcement
    + Deep learning for forensics

    ** SPECIAL SESSIONS **
    IJCB 2020 will have special sessions on the following topics:

    + Identity for Social Good
    + Behavior Understanding
    + Ethics and Identity
    + Deep Fakes: Friend or Foe?
    + Identity for Health & Healthcare

    ** SUBMISSION **
    Paper submissions may be up to eight pages with additional pages of
    references in IEEE conference format. Papers longer than six pages will
    be subject to a page fee for the additional pages (two max). The
    additional pages for the references do not incur any extra costs.
    Submissions to IJCB 2020 should represent original research work that is
    not under review elsewhere. All submissions will be rigorously reviewed
    and should clearly demonstrate improvements over the existing state of
    the art. Papers accepted and presented at IJCB 2020 will be available at
    IEEE Xplore.

    ** JOURNAL SPECIAL ISSUE **
    A selection of the best reviewed papers from IJCB 2020 will be invited
    to a special issue of the IEEE Transactions on Biometrics, Behavior and
    Identity Science (TBIOM).

    ** IMPORTANT DATES **
    Details on the IJCB 2020 submission procedure are available on the
    conference website.

    Paper submission: June 8, 2020
    Decision to authors: July 28, 2020
    Camera ready: August 17, 2020

    Conference dates: September 28 – October 1, 2020

    Conference web-page: https://ieee-biometrics.org/ijcb2020

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