I would like to cordially invite you to the 2022 IEEE 2nd Conference on
Information Technology and Data Science (CITDS 2022), which will be held
in Debrecen, Hungary, on 16–17–18 May, 2022. The event will be organized
primarily on an online platform; personal attendance will depend on the
actual pandemic situation. The official language of the conference is English.
The conference is organized by the Faculty of Informatics, University of
Debrecen, Hungary. The sponsors of the conference are the University of
Debrecen, the IEEE Hungary Section and the John von Neumann Computer
Society.
For further details, please visit the conference website
https://konferencia.unideb.hu/en/announcement-2022-ieee-2nd-conferenceinformation- technology-and-data-science
Announcement
The aim of the 2nd Conference on Information Technology and Data Science
is to bring together researchers, developers, teachers from academy as well
as industry working in all areas of data and information technologies.
Specialists of the above fields, young researchers and PhD students are
greatly welcome to participate in this event. The conference provides a good
platform for participants to exchange their ideas, results and works on the
various topics of the conference.
Sessions
We accept scientific papers from a wide range of applications of theoretical
and practical data and information technologies. Sessions of interest include,
but are not limited to:
More information about the Free on-line AIDA Course on “Deep Learning for Three-dimensional (3D) Humans”. https://sites.google.com/view/dl43dhuman
December 21st, 2021 
Daniela Lopez de Luise IMT Nord Europe & University of Lille will organize a free online short course on “Deep Learning for Three-dimensional (3D) Humans” offered through the International Artificial Intelligence Doctoral Academy (AIDA).
The purpose of this course is to overview the foundations and the current state of the art in deep learning techniques for 3D human shape analysis.
The success of deep learning in computer vision and image analysis, speech recognition, and natural language processing has driven the recent interest in developing similar models for 3D geometric data. However, it is less obvious how using convolutional neural networks (CNNs) architectures can be adapted to 3D data, given in the form of point clouds or meshes, where a regular structure is not directly available. The purpose of this course is to overview the foundations and the current state of the art in deep learning techniques for 3D shape analysis. This short course will cover the following topics:
– Fundamentals of differential geometry of surfaces.
– Classical methods for 3D shape analysis.
– Deep learning for 3D data: basic concepts of deep learning; extending CNN to 3D data;
– Generative methods for 3D data, autoencoders and GAN methods for 3D data.
The targeted applications will be in 3D face and body shape analysis.
LECTURER:
– Juan-Carlos Alvarez-Paiva
– Naima Otberdout
– Emery Pierson
ORGANIZER: IMT Nord Europe & University of Lille
REGISTRATION: Free of charge.
WHEN: Monday 17th January 2022 from 09:00 to 17.00 CET
WHERE: Online
HOW TO REGISTER:
If you are an AIDA Student* already, please
Step (a) register in the course by filling the following form https://forms.gle/NW6sW4DacqsTm5XeA
AND
Step (b) enroll in the same course in the AIDA system (https://www.i-aida.org/course/deep-learning-for-three-dimensional-3d-humans/), so that this course enter your AIDA Course Attendance Certificate.
If you are not an AIDA Student do only step (a).
*AIDA Students should have been registered in the AIDA system already (they are PhD students or PostDocs that belong only to the 67 AIDA Members listed in this page: https://www.i-aida.org/about/members/)
Prof. M. Daoudi
IMT Nord Europe”
——————————————————
Mohamed Daoudi
Professor IMT Lille Douai
CRISTAL (UMR CNRS 9189), (Centre de recherche en informatique, signal et automatique de Lille)
Adresse : IMT Lille Douai, Rue Guglielmo Marconi, 59650 Villeneuve-d’Ascq
Page personnelle :
http://pagesperso.telecom-lille.fr/daoudi/, http://www.cristal.univ-lille.fr/~daoudi
E-mail : mohamed.daoudi@imt-lille-douai.fr
Associate Editor Image and Vision Computing
Associate Editor IEEE Transactions On Multimedia
Associate Editor Journal of Imaging
Associate Computer Vision and Image Understanding
IAPR Fellow
More Info: AIDA short course on “Literate models for computer vision: Combining vision, language and reading”
December 21st, 2021 Daniela Lopez de Luise Online Course on “Literate Models for Vision: Combining vision, language and reading”
The Computer Vision Center (CVC) organizes a short course on “Literate Models for Vision” offered through the International Artificial Intelligence Doctoral Academy (AIDA).
Written information in the world around us is a fundamental cue for a multitude of everyday tasks. From shopping at the supermarket to finding our destination in an unknown urban space, written text helps us perform many tasks that would otherwise be much more complex.
Computer vision systems on the other hand, have been practically illiterate for the first half century of their lifetime. Specific research on reading systems has been going on for decades, but the semantic information that image text conveys was not incorporated to higher-level computer vision tasks until very recently. This is gradually changing, afforded by the great success achieved in the field of scene text recognition in recent years.
Through this short interactive course, doctoral students will have a chance to reconcile with the state of the art in reading systems, especially scene text recognition, and explore how image text enables us to tackle new and exciting computer vision tasks such as fine-grained image classification, cross-modal retrieval, captioning and visual question answering.
WHEN: Monday 20 December 2021 from 10:00 to 17.00 CET
WHERE: Online
HOW TO REGISTER: https://www.i-aida.org/course/vision-and-language-reading-systems-and-multi-modal-representations/
Schedule (all times are CET):
10:00 – 11:00 Introduction and Scene Text Understanding Overview
11:00 – 12:00 Common blocks for multi-modal systems
12:00 – 13:00 Scene text for Fine Grained Image Classification and Cross-modal retrieval
13:00 – 15:00 Break
15:00 – 16:00 Scene text for Captioning and VQA
16:00 – 17:00 Demo session
IWINAC 2022 Special Session on Machine Learning in Computer Vision and Robotics (MLCVR) Puerto de la Cruz, Tenerife, Spain – 31 May -3 June, 2022
December 21st, 2021 Daniela Lopez de Luise
We would like to cordially invite you to submit a paper for IWINAC 2022 Special Session on Machine Learning in Computer Vision and Robotics (MLCVR) https://www.dtic.ua.es/~jgarcia/IWINAC2022/
Puerto de la Cruz, Tenerife, Spain – 31 May -3 June, 2022
Aims:
Over the last decades there has been an increasing interest in using machine learning and in the last few years, deep learning methods, combined with other vision techniques to create autonomous systems that solve vision problems in different fields. This special session is designed to serve researchers and developers to publish original, innovative and state-of-the art algorithms and architectures for real time applications in the areas of computer vision, image processing, biometrics, virtual and augmented reality, neural networks, intelligent interfaces and biomimetic object-vision recognition.
This special session provides a platform for academics, developers, and industry-related researchers belonging to the vast communities of *Neural Networks*, *Computational Intelligence*, *Machine Learning*, *Deep Learning*, *Biometrics*, *Vision systems*, and *Robotics *, to discuss, share experience and explore traditional and new areas of the computer vision, machine and deep learning combined to solve a range of problems. The objective of the workshop is to integrate the growing international community of researchers working on the application of Machine Learning and Deep Learning Methods in Vision and Robotics to a fruitful discussion on the evolution and the benefits of this technology to the society.
The methods and tools applied to vision and robotics include, but are not limited to, the following:
• Computational Intelligence methods
• Machine Learning methods
• Self-adaptation, self-organisation and self-supervised learning
• Robust computer vision algorithms (operation under variable conditions, object tracking, behaviour analysis and learning, scene segmentation,,,,)
• Extraction of Biometric Features (fingerprint, iris, face, voice, palm, gait)
• Registration Methods
• Convolutional Neural Networks CNN
• Recurrent Neural Networks RNN
• Deep Reinforcement Learning DRL
• Generative Adversial Networks
• Predictive Learning
• Active-Incremental-Online Learning
• Hardware implementation and algorithms acceleration (GPUs, FPGA,s,…)
The fields of application can be identified, but are not limited to, the following:
• Video and Image Processing
• Video tracking
• 3D Scene reconstruction
• 6D Object detection
• Objects Grasping/Manipulation
• 3D Tracking in Virtual Reality Environments
• 3D Volume visualization
• Intelligent Interfaces (User-friendly Man Machine Interface)
• Multi-camera and RGB-D camera systems
• Multi-modal Human Pose Recovery and Behavior Analysis
• Human body reconstruction
• Gesture and posture analysis and recognition
• Biometric Identification and Recognition
• Extraction of Biometric Features (fingerprint, iris, face, voice, palm, gait)
• Surveillance systems
• Autonomous and Social Robots
• Robotic vision
• Synthetic data generation
• Sim2Real
• Industry 4.0
• IoT and Cyber-physical Systems
Important dates:
Paper Submission Deadline
January 31, 2022
Paper acceptance notification date
April 1, 2022
Conference
May 31- June 3, 2022
Submission Guidelines:
Please follow the regular submission guidelines of IWINAC 2022. Please notify the chairs of your submission by sending an email to: jgarcia@dtic.ua.es.
Journal special Issues
Best papers will be selected by the scientific committee to include an extended version in journal SPECIAL ISSUES. Expected journals are:
• International Journal of Neural Systems (5.866)
• Integrated Computer-aided Engineering (4.827))
• Expert Systems (2.587)
• Natural Computing (1.690)
Chairs:
José García-Rodríguez -University of Alicante (Spain)
Enrique Dominguez – University of Malaga (Spain)
Ramón Moreno – Grupo Antolín (Spain)
Contact:
Main Conference webpage: http://www.iwinac.org/
Special session webpage: http://www.dtic.ua.es/~jgarcia/IWINAC2022/
Best regards,
Enrique
Dr. Enrique Dominguez
ETSI Informatica – Universidad de Malaga
Avd. Boulevar Louis Pasteur, 35
29071 – Malaga (SPAIN)
Tel. +34 95 213 7143
Fax +34 95 213 1397
ICMR 2022 Call for Regular Papers
December 21st, 2021 Daniela Lopez de Luise original papers addressing innovative research in multimedia retrieval
and its related broad fields. The main scope of the conference is not
only search and retrieval of multimedia data but also analysis and
understanding of multimedia contents including community-contributed
social data, lifelogging data and automatically generated sensor data,
integration of diverse multimodal data, deep learning-based methodology
and practical multimedia applications.
Long research papers are up to 8 pages, plus additional pages for the
list of references. These types of papers will have oral and poster
presentations at the conference. Authors of the best papers will be
asked to extend their work for a Special Issue in Springer's
International Journal of Multimedia Information Retrieval.
Short research papers and demonstrations are up to 4 pages, plus
additional pages for the list of references. These types of papers will
have only poster presentations at the conference. Papers submitted to a
special session or brave new ideas track are limited to six pages per
paper, plus references. Doctoral symposium papers are limited to four
pages in length. Topics of Interest ICMR 2021 is a premier conference to
display scientific achievements and innovative industrial products in
the field of multimedia retrieval. We are seeking original high-quality
submissions addressing innovative research in the field. Contributions
addressing the challenges of large-scale search and user behavior
analysis are especially welcome.
Topics of Interest
Topics of interest include (but are not limited to):
– Multimedia content-based search and retrieval,
– Multimedia-content-based (or hybrid) recommender systems,
– Large-scale and web-scale multimedia retrieval,
– Multimedia content extraction, analysis, and indexing,
– Multimedia analytics and knowledge discovery,
– Multimedia machine learning, deep learning, and neural nets,
– Relevance feedback, active learning, and transfer learning,
– Zero-shot learning and fine-grained retrieval for multimedia,
– Event-based indexing and multimedia understanding,
– Semantic descriptors and novel high- or mid-level features,
– Crowdsourcing, community contributions, and social multimedia,
– Multimedia retrieval leveraging quality, production cues, style,
framing, affect;
– Narrative generation and narrative analysis;
– User intent and human perception in multimedia retrieval;
– Query processing and relevance feedback;
– Multimedia browsing, summarization, and visualization;
– Multimedia beyond video, including 3D data and sensor data;
– Mobile multimedia browsing and search;
– Multimedia analysis/search acceleration, e.g., GPU, FPGA;
– Benchmarks and evaluation methodologies for multimedia analysis/search;
– Applications of multimedia retrieval, e.g., medicine, sports,
commerce, lifelogs, travel, security, environment.
Maximum Length of a Paper
Long research paper (Full Paper): Each long research paper should not be
longer than 8 pages, plus additional pages for the list of references.
Short research paper: Each short research paper should not be longer
than 4 pages, plus additional pages for the list of references.
Important Dates
-Paper Submission Due: Jan. 20, 2022
-Notification of Acceptance: Mar. 30, 2022
-Camera-Ready Papers Due: TBD
Double-Blind Review
ACM ICMR follows a double-blind review process for full paper selection.
Authors should not know the names of the reviewers of their papers, and
reviewers should not know the name(s) of the author(s). Please prepare
your paper in a way that preserves anonymity of the authors:
-Do not put your names under the title,
-Avoid using phrases such as “our previous work” when referring to
earlier publications by the authors,
-Remove information that may identify the authors in the acknowledgments
(e.g., co-workers and grant IDs),
-Check supplemental material for information that may identify the
authors’ identity,
-Avoid providing links to Websites that identify the authors.
Abstract and Keywords
The abstract and the keywords form the primary source for assigning
papers to reviewers. So make sure that they form a concise and complete
summary of your paper with sufficient information to let someone who has
not read the full paper know what it is about.
Submission Instructions
See the Paper Submission section:
https://www.icmr2022.org/authors/submissions/
Contact
For any question regarding full and short paper submissions, please
visit the conference website (icmr2022.org) or email the Technical
Program Chairs:
-Wen-Huang Cheng, National Yang Ming Chiao Tung University, Taiwan
(whcheng@nycu.edu.tw)
-Ichiro Ide, Nagoya University, Japan (ide@i.nagoya-u ac.jp)
-Vivek Singh, Rutgers University, USA (v.singh@rutgers.edu)