Call for participation in “E-workshop on GANs for Media Content Generation”, October 1st, 2020

September 28th, 2020 Daniela Lopez de Luise
Dear AI and/or Digital Media enthusiasts,

you are welcome to attend FOR FREE the “e-Workshop on GANs for Media Content Generation”, on October 1st, 2020, in the framework of EU-funded H2020 R&D project AI4Media: https://ai4media.eu.

Generative Adversarial Networks (GANs) are part of the cutting edge in recent machine learning research. Trained by exploiting the interplay between a generative and a discriminative deep neural network, GANs are able to implicitly model the data distribution, thus allowing us to generate realistic data samples after model training is complete. 
The Digital Media sector is perhaps the greatest beneficiary of GAN-based algorithms, with industry-relevant research already taking advantage of their potential. They are useful for a wide range of media-related applications, such as image-to-image translation, optical recognition enhancement, text-to-speech systems, music/image/video generation, video summarization, image anonymization and many others, frequently giving rise to state-of-the-art results. 
On the negative side, the rise of so-called “deep fakes” poses significant new challanges, both ethical and technical, thus making the development of methods to robustly detect them a top priority. Overall, GANs hold the key to revolutionizing the way we produce media and arts content.

The AI4Media project focuses on building a network of research excellence that will deliver the next generation of core AI advances to serve the key sector of Media. In this context, this Workshop is meant to disseminate knowledge regarding GAN-based state-of-the-art for media content generation and for fake media detection. The workshop lectures are at CS/ECE/EE graduate level. MSc/PhD/Postodoc researchers are particularly welcomed from Europe and around the world.

The lectures will be presented live by senior or Postdoc researchers from several AI4Media consortium members and collaborators across Europe.
You can attend using Webex, accessed nthrough the Workshop website:   https://ai4media.eu/events/gan-media-generation-workshop-oct-2020/

E-workshop program (CEST time-zone):

-10:00 – 10:15 Welcome
-10:15 – 10:30 Yiannis Kompatsiaris Centre for Research and Technology Centre Hellas (CERTH-ITI) “Introduction to AI4Media Project”
-10:30 – 11:10 Marta Mrak, BBC R&D, “Learning to Predict Pixels Using AI for Content Enhancement and Delivery”
-11:10 – 11:30 Ioannis Mademlis, Aristotle University of Thessaloniki (AUTH) “An Overview of GANs for Media Production”
-11:30 – 11:50 Vasileios Mezaris, Centre for Research and Technology Hellas (CERTH-ITI) “GAN-based Video Summarization”
-11:50 – 12:10 Break
-12:10 – 12:30 Nicu Sebe, University of Trento (UNITN) “Human Image and Video Generation/Animation”
-12:30 – 12:50 Symeon Papadopoulos Centre for Research and Technology Hellas (CERTH-ITI) “Deepfake and Synthetic Media Detection”
-12:50 – 13:10 Vasileios Mygdalis Aristotle University of Thessaloniki (AUTH) “Adversarial Face De-identification for Privacy Protection”
-13:10 – 13:50 Luisa Verdoliva, University of Naples Federico II (UNINA), “Major Challenges in the Detection of Synthetic Media and Deepfakes”
-13:50 – 14:10 Closing remarks

This event is the first activity of the upcoming International AI Doctoral Academy (IAIDA) put forward by AI4Media.
Stay tuned at: https://ai4media.eu  and https://twitter.com/AI4Media_EU

Till IAIDA creates its own communication channels (very soon), you may want to register to the CVML email list, where certainly all related messages will be posted, following instructions in https://lists.auth.gr/sympa/info/cvml

Sincerely yours,
Dr. I. Kompatsiaris, CERTH-ITI, AI4Media Coordinator, Prof. I. Pitas, AUTH,  AI4Media Doctoral Studies coordinator

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Submit your paper to AC3 2021 (Applied Cryptography in Computer and Communications) and meet the speakers! Xiamen, China on May 15 – 16, 2021

September 24th, 2020 Daniela Lopez de Luise

Web version

May 15 – 16, 2021 | Xiamen, People's Republic of China
Submission Deadline: November 15, 2020
SCOPE

AC3 is an annual conference focusing on the area of applied cryptography in computer and communication systems. The conference encourages submissions on all technical aspects of applied cryptography, including symmetric cryptography, public-key cryptography, cryptographic protocols, cryptographic implementations, cryptographic standards and practices. The conference also encourages submissions on using cryptography to solve real-world problems in Internet of things, cyber-physical systems, edge computing, cloud computing, data science, information-centric networking, etc.

We are pleased to invite you to submit your paper to AC3 2021. Submissions should be in English, following the Springer formatting guidelines (see Submission). 
Submit Paper

Read more: Call for Papers
Publications

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).

Selected papers, after being extended, will be recommended to be published in a special issue of Cybersecurity.

Additional publication opportunities:
          Important dates

          Full Paper Submission Deadline: november 15, 2020

          Notification Deadline: february 1, 2021

          Camera-ready deadline: march 1, 2021

          Conference dates: may 15 – 16, 2021

          We are excited to announce the keynote speakers for AC3 2021:
          Institute of Cyber Science and Technology at Zhejiang University
          Singapore Management University
          call for workshop proposals 
          2021 EAI International Conference on Applied Cryptography in Computer and Communications (AC3) invites proposals for co-located workshops.

          We are soliciting workshop proposals on any topic relevant to applied cryptography. The purpose of the workshops is to provide a venue for presenting novel ideas in a less formal and typically more focused area than the main conference. Accepted workshop papers are included in the adjunct proceedings of the AC3 Conference.
          Submit Workshop Proposal
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          DEADLINE APPROACHING – FBE2020@ICPR202

          September 22nd, 2020 Daniela Lopez de Luise

          Call for Papers – FBE2020

          Workshop on Facial and Body Expressions, micro-expressions and behavior recognition
          January 10th, 2021 – Milan, Italy

          The workshop will be held in conjunction with ICPR2020: The 25th International Conference on Pattern Recognition, Milan, Italy, January 10-15, 2021.
          Website: https://micc.unifi.it/FBE2020/

          Submission deadline: October 10th, 2020

          Submission server: https://cmt3.research.microsoft.com/FBE2020

          === CALL FOR PAPERS ===

          In recent years there has been an increasing interest in several fields of research for analyzing human behaviour. Typically these works focus on macro-level recognition such as activities or explicit human-human interactions. Systems built to address these tasks assume that what is recognized corresponds to the true intentions of the observed person. This may not be always the case, since macro-level behaviors can be easily counterfeited.
          For this reason, the interest in understanding micro-level behaviors has emerged, since these are often connected to involuntary reactions which are less likely to be faked or concealed. Understanding strong, unbiased behaviors is also a key aspect in several fields. For example, in security critical applications, observing posture, gait and small body movements could reveal malicious intentions. Moreover, body movements and behaviors could also be used to profile or re-identificate subjects without harming their privacy.
          In general, low-level expressions and behaviors are more difficult to recognise than high-level ones, due to the fine-grained nature of the problem. It is also a fact that with the recent technological advancement, the means of data acquisition and processing have also dramatically improved, enabling new applications and analyses. To reliably understand facial micro-expressions, for example, there are both spatial and temporal issues to take into account. On the one hand it is necessary to either acquire and process high-resolution images or rely on different kinds of data such as high-quality depth maps. On the other hand, micro-expressions occur over an extremely short timespan (<500ms) and might not even be detectable with conventional low-framerate cameras. If some years ago it was not possible to acquire these kinds of data and process them, now it certainly is.

          ===  SCOPE ===

          In this workshop we are interested in submissions focused but not limited on low-level characteristics, either facial or related to the human body, aiming at understanding high-level concepts. We are also interested in applications leveraging this information, for user profiling or behavior understanding.The workshop also favours positive criticism of current works and encourages new perspectives on the matter. Moreover, as we are all living in a world where our personal data is used and often abused, we are also interested in privacy issues that arise when profiling users. Finally, we also promote the creation of new datasets for both facial micro-expressions and body behavior understanding. Submissions are invited from all areas of pattern recognition.

          Topics of interest include (but are not limited to):

          • Face expressions
          • Emotion recognition
          • Behavior analysis
          • Action recognition
          • Gait recognition
          • 3D recognition
          • Micro-expression recognition
          • Body analysis
          • Biometrics
          • User profiling and suggestion
          • Deep learning tailored for face and behavior recognition
          • Representation learning
          • Unsupervised and semi-supervised learning
          • Multi-resolution, multi-sensor, multi-modal analysis
          • Public benchmark datasets and evaluation protocols

          === SUBMISSION ===

          All the submissions will be subjected to single-blind review process. Submitted papers should not have been published, accepted or under review elsewhere.
          The submissions can be up to 12-15 pages for full papers or 6-8 pages for short papers (Springer Template).
          All the papers must be submitted using the template you can find at this link: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines
          All the papers should be submitted using CMT: https://cmt3.research.microsoft.com/FBE2020
          Accepted submissions will be presented either as oral or posters, and published in the ICPR 2020 Workshops volume, edited by Springer.

          === IMPORTANT DATES ===

          Paper submission: October 10th, 2020
          Author notification: November 10th, 2020
          Camera-Ready Paper submission: November 15th, 2020

          === ORGANIZERS ===


          Vittorio Murino, Istituto Italiano di Tecnologia
          Moi Hoon Yap, Manchester Metropolitan University, UK
          Federico Becattini, University of Florence, Italy
          Federico Pernici, University of Florence, Italy

          === CONTACTS ===


          For any question regarding the workshop please contact Federico Becattini at federico.becattini@unifi.it

          Please distribute this call to interested parties.

          pdf icon Call-for-Papers-FBE2020.pdf
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          WACV 2021 Call for Tutorial Proposals

          September 22nd, 2020 Daniela Lopez de Luise

          WACV 2021 Call for Tutorial Proposals

          Tutorials Chair: Philippos Mordohai (mordohai@cs.stevens.edu)
          Proposal Deadline: October 20, 2020 [11:59 p.m. Pacific Standard Time]
          Notification by: November 2, 2020
          Submission link:  https://cmt3.research.microsoft.com/WACVtutorials2021 

          We solicit proposals for tutorials to be held at the IEEE Winter Conference of Applications on Computer Vision (WACV 2021), which will be held online on January 5-9, 2021.

          Tutorials should aim to give a comprehensive overview of a specific topic related to computer vision. A good tutorial should be educational rather than just a cursory survey of techniques. The topic should be of sufficient relevance and importance to attract significant interest from the computer vision community. Typical tutorial audiences consist of graduate students studying computer vision, but also include researchers and practitioners from both academia and industry. 

          Proposals should be in PDF format and should include the following information:

          • Proposed title;
          • Proposers' names, titles, affiliations, emails, and brief bio sketches;
          • Preference for half- or full-day event;
          • Course description with list of topics to be covered, along with a brief outline and important details;
          • List of citations and/or URLs to relevant publications and products by the organizers, and to other relevant related work;
          • A description of how this proposal relates to tutorials/short courses appearing at CVPR, ICCV,  ECCV, and WACV within the last three years.

          For any questions, please contact the tutorials chair.

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          CFP – 3rd Workshop on Accelerated Machine Learning (AccML) at HiPEAC 2021

          September 22nd, 2020 Daniela Lopez de Luise

          3rd Workshop on Accelerated Machine Learning (AccML)


          Co-located with the HiPEAC 2021 Conference

          (https://www.hipeac.net/2021/budapest/)


          January 18, 2021

          Budapest, Hungary

          ==================================================================


          IMPORTANT: Due to the current COVID-19 situation, HiPEAC 2021 may take place virtually.


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