2022 IEEE Third International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT-2022)

June 29th, 2022 Daniela Lopez de Luise

Dear Sir / Madam,


Greetings from KIET Group of Institutions, Ghaziabad, India!!!


With great pleasure, we would like to convey that the Department of Information Technology, KIET Group of Institutions, Ghaziabad, India, with the technical Co-Sponsorship of IEEE Uttar Pradesh Section, is organizing the 2022 Third International Conference on Issues and Challenges in Intelligent Computing Techniques (ICICT-2022),  on 11th -12th November 2022 (IEEE Conference Record Number #55121). 


Call for Papers

 

ICICT-2022 is inviting original, previously unpublished and high quality research papers addressing research challenges and advances in the tracks mentioned below but are not limited to:


Track 1: Advances in High-Performance Computing and Artificial Intelligence

Track 2: Advances in Machine Learning, Deep Learning and Data Science

Track 3: Information System and Cyber Security

Track 4: Network and Data Management

Track 5: Image Processing and Multimedia

Track 6: Interdisciplinary Research Domain


All papers must be original and not simultaneously submitted to another journal or conference. Please click here to submit your paper.

 

For more information, please visit: https://www.kiet.edu/icict2022/

 

Publication

All accepted and presented papers will be submitted to IEEE Xplore for consideration and inclusion in IEEE Xplore Digital Library. For further query regarding the paper submission, publication etc. please write to us at icictconf.kiet@gmail.com

 

We request your active participation by submitting and presenting papers to the Conference. Please extend your support by forwarding this mail to your colleagues, research scholars, and students as well as encouraging them to participate in ICICT-2022.

 

Regards,

Dr. Adesh Pandey

Conference Chair

3rd ICICT-2022

 

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Live e-Lecture by Prof. A. del Bimbo: “Social interaction in trajectory prediction with Memory Augmented Networks”, 5th July 2022 17:00-18:00 CET. Upcoming AIDA AI excellence lectures

June 29th, 2022 Daniela Lopez de Luise

Dear AI scientist/engineer/student/enthusiast,

 

Prof. A. del Bimbo (Università di Firenze, Italy), a prominent AI & Digital Media researcher internationally, will deliver the e-lecture:

‘Social interaction in trajectory prediction with Memory Augmented Networks’, on Tuesday 5th July 2022 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST),

see details in: http://www.i-aida.org/ai-lectures/

You can join for free using the zoom link: https://authgr.zoom.us/j/95605045574 & Passcode: 148148

 

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation,

is very pleased to offer you top quality scientific lectures on several current hot AI topics.

 

Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures)

 

These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels).

If you want to stay informed on future lectures, you can register in the email lists AIDA email list and CVML email list.

 

Best regards

Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe, J. Stefanowski

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INVITACIÓN CONFERENCIA “10 ENSEÑANZAS DE LA MECÁNICA DE LOS FLUIDOS MODERNA”

June 29th, 2022 Daniela Lopez de Luise

Compartimos la invitación de la ACADEMIA DE LA INGENIERÍA DE LA PROVINCIA DE BUENOS AIRES al Acto de incorporación como Académico Correspondiente de esta Academia, del Dr. Ing. Fabián BOMBARDELLI, quien en la ocasión disertará sobre el tema “10 enseñanzas de la Mecánica de Fluidos Moderna”

 

La conferencia se desarrollará el día jueves 7 de julio a las 17 horas, en el Anfiteatro del Departamento de Hidráulica de la Facultad de Ingeniería de la UNLP. Se realizará su transmisión por Youtube.

 

Se adjunta invitación con mayor detalle de la charla y el disertante


LINK al Canal de Youtube de la ACAINGpBA:

 

https://www.youtube.com/channel/UC2FJw5sdRmucAuKRrbrpMqA.


pdf icon Invitacion-AcaIngPBA_Conf-Fabian-Bombardelli.pdf
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CFP – IET Image Processing special issue on “Advancements in Fine Art Pattern Extraction and Recognition” [deadline 28 November 2022]

June 29th, 2022 Daniela Lopez de Luise
*Call for Papers*

_______ *Special Issue of IET Image Processing on* __________
*ADVANCEMENTS in FINE ART PATTERN EXTRACTION and RECOGNITION*

___________
Aim & Scope

Cultural heritage, especially fine arts, plays an invaluable role in the
cultural, historical and economic growth of our societies. Fine arts are
primarily developed for aesthetic purposes and are mainly expressed
through painting, sculpture and architecture. In recent years, thanks to
technological improvements and drastic cost reductions, a large-scale
digitization effort has been made, which has led to an increasing
availability of large digitized fine art collections. This availability,
coupled with recent advances in pattern recognition and computer vision,
has disclosed new opportunities, especially for researchers in these
fields, to assist the art community with automatic tools to further
analyze and understand fine arts. Among other benefits, a deeper
understanding of fine arts has the potential to make them more
accessible to a wider population, both in terms of fruition and
creation, thus supporting the spread of culture.

This special issue aims to offer the opportunity to present advancements
in the state-of-the-art, innovative research, ongoing projects, and
academic and industrial reports on the application of visual pattern
extraction and recognition for a better understanding and fruition of
fine arts, soliciting contributions from pattern recognition, computer
vision, artificial intelligence and image processing research areas. The
special issue will be linked to the 2nd International Workshop on Fine
Art Pattern Extraction and Recognition (FAPER2022). Authors of selected
conference papers will be invited to extend and improve their
contributions for this special issue, and authors are also invited to
submit new contributions (non-conference papers).

_______________________________________
Topics include, but are not limited to:
– Applications of machine learning and deep learning to cultural
heritage and digital humanities
– Computer vision and multimedia data processing for fine arts
– Generative adversarial networks for artistic data
– Augmented and virtual reality for cultural heritage
– 3D reconstruction of historical artifacts
– Point cloud segmentation and classification for cultural heritage
– Historical document analysis
– Content-based retrieval in visual art domain
– Digitally enriched museum visits
– Smart interactive experiences in cultural sites
– Project, products or prototypes for cultural heritage

_______________________________________
*Submission Deadline*: 28 November 2022

Submissions must be made through ScholarOne:
https://mc.manuscriptcentral.com/theiet-ipr

see the PDF call for paper for more information:
https://ietresearch.onlinelibrary.wiley.com/pb-assets/assets/17519667/Special%20Issues/IPR%20SI%20CFP_AFAPER-1651107571727.pdf

___________
Open Access

 From January 2021, The IET began an Open Access publishing partnership
with Wiley. As a result, all submissions that are accepted for this
Special Issue will be published under the Gold Open Access Model and
subject to the Article Processing Charge (APC) of $2,300.

APC can be covered in *FULL* or part by your institution!
*CHECK  YOUR  ELIGIBILITY  HERE*
https://authorservices.wiley.com/author-resources/Journal-Authors/open-access/affiliation-policies-payments/institutional-funder-payments.html

_______________
Editor-in-Chief

Prof. Farzin Deravi, University of Kent, UK

_____________
Guest Editors

Giovanna Castellano, Universita' di Bari, Italy
Gennaro Vessio, Universita' di Bari, Italy
Fabio Bellavia, Universita' di Palermo, Italy
Sinem Aslan, Università Ca' Forscari Venezia, Italy

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Call for papers – IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (J-STSP)

June 29th, 2022 Daniela Lopez de Luise


IEEE JOURNAL OF SELECTED TOPICS


IN SIGNAL PROCESSING (J-STSP)


 


 Special issue on “Biometrics at a distance in the Deep Learning era”


 


 


Call for papers


Biometrics at a distance (e.g., gait recognition, person re-identification, etc.) is a particular case of biometric analysis that usually does not require the conscious participation of the target subject, being non-invasive at the same time. However, the sample acquisition is almost always affected by adverse conditions, e.g., the lack of details due to the distance itself, so that the robustness to distortions of adopted biometric methods is of paramount importance. This is a well-established topic in the field of information forensics and security. With the arrival of the Deep Learning era, new approaches have started to emerge in dealing with this task. However, in contrast to other computer vision and machine learning problems, as general image/video classification, one of the main challenges that has to be addressed in this type of biometric problem, amongst others, is the lack or limited amount of available annotated data sets for effectively training deep models.


The aim of this special issue is to gather and promote novel deep-learning based approaches for addressing the task of biometrics at a distance. Specifically, we are interested in works that propose new methods to improve the recognition accuracy, the computational burden and/or the scalability of the domain of application for biometrics, being the application of the deep learning paradigm the main component. Special attention will be paid to privacy protection and data security in the context of biometrics. In addition, new large realistic annotated datasets for the related tasks are welcome.


 


Topics The topics of interest for this special issue include, but are not limited to, the following ones:


 


* Gait recognition with Deep Learning


* Face recognition (low resolution) at a distance with Deep Learning


* Person re-identification with Deep Learning


* Soft biometrics at a distance with Deep Learning


* Multimodal biometrics at a distance with Deep Learning


* Heterogeneous and cross-modal biometrics at a distance with Deep Learning


* Information fusion for biometrics with Deep Learning


* Incremental learning for biometrics at a distance with Deep Learning


* Semi- and weakly-supervised learning for biometrics at a distance with Deep Learning


* Algorithms for effective transfer learning applied to biometrics at a distance


* Multi-task learning applied to biometrics at a distance


* Processing and enhancement of low-quality biometric data


* Privacy protection and data security applied to Biometrics at a distance


 


Important Dates


* Paper submission due: 31/July/2022


* First review due: 30/September/2022


* Revised manuscript due: 30/November/2022


* Second review due: 15/January/2023


* Final manuscript due: 28/February/2023


 


Guest Editors


Manuel J. Marin-Jimenez (Lead GE), University of Cordoba, Spain. Email: mjmarin@uco.es


Shiqi Yu, SUSTech, China. Email: yusq@sustech.edu.cn


Yasushi Makihara, Osaka University, Japan. Email: makihara@am.sanken.osaka-u.ac.jp


Vishal Patel, Johns Hopkins University, USA. Email: vpatel36@jhu.edu


Maria de Marsico, Sapienza Università di Roma, Italy. Email: demarsico@di.uniroma1.it


Maneet Singh, AI Garage-Mastercard, India. Email: maneets@iiitd.ac.in


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