Apertura de inscripciones para la Escuela Complutense Latinoamericana (ECL)

La Universidad de Buenos Aires y la Universidad Complutense de Madrid
(UCM) anuncian la apertura de inscripciones para la Escuela Complutense
Latinoamericana (ECL) que se desarrollará entre el 7 y el 18 de marzo de
2022 en la sede de la UBA.  Se otorgarán 165 becas totales para
estudiantes avanzadas/os de grado, estudiantes de posgrado, graduadas/os
y docentes UBA. Para postularse, los interesados deberán completar el
formulario de solicitud de beca antes del 18 DE FEBRERO DE 2022.

La ECL cuenta en esta edición con una oferta académica de 11 cursos,
elaborados de forma conjunta, que serán dictados por docentes de la
Universidad de Buenos Aires y de la Universidad Complutense de Madrid.
Cada uno de los cursos tiene una carga lectiva presencial de 50 horas,
más 10 horas destinadas a la realización de un proyecto que será
presentado unos días antes de la finalización del curso.

Para más información sobre los cursos ingresar:
https://www.ucm.es/ecl/cursos-2

Para más información sobre inscripción, aranceles y postulación a becas
ingresar: https://www.uba.ar/internacionales/convocatoria.php?id=847

Todas las consultas deben ser dirigidas al siguiente e-mail:
ecl.uba@rec.uba.ar

Conferences: CGI 2022 Call for Papers

;text-decoration-style:initial;text-decoration-color:initial;word-spacing:0px”> This year, CGI2022 is organized by MIRALab, University of Geneva, Switzerland and supported by the Computer Graphics Society (CGS). The Visual Computer is the official journal of the Computer Graphics Society.

THE CONFERENCE CGI2022 WILL BE VIRTUAL DUE TO THE CONTINUATION OF THE PANDEMIC WORLDWIDE

 

IMPORTANT DATES

Conference, Tutorials and Workshops September 12-16, 2022

 

Web site:  http://www.cgs-network.org/cgi22/

Contact: cgi2022@miralab.ch

 

Visual Computer papers submission

Submission deadline: March 10, 2022, midnight CET

Preliminary notification: April 15, 2022

Deadline to Receive Revised Papers From Authors: May 20, 2022

Final Notification of Revised Papers: July 5, 2022

 

CGI proceedings submission

Submission deadline: June 5, 2022

Paper notification July 5, 2022

Camera-ready July 24, 2022

 

CALL FOR VISUAL COMPUTER JOURNAL PAPERS (FIRST CALL)

The scientific program of the conference will include accepted papers from the first call for papers and these accepted papers will be published in the Visual Computer Journal (impact factor 2.52) by Springer-Verlag.

The accepted papers from the second call for papers will be included in the CGI conference proceedings published by LNCS, Springer.

Note that for both call for papers, the review process is double blind, which requires the paper and all supplemental materials to be anonymous. Ensure that self-referencing is anonymous (refer to your full name rather than “I” or “we”). Avoid providing information that may identify the authors in the acknowledgements (e.g. co-workers and grant IDs) and in the supplemental material (e.g. titles in the movies, or attached papers). Avoid providing links to websites that identify the authors. Violation of any of these guidelines will lead to rejection without review.

We invite original contributions that advance the state-of-the-art in topics related to:

  • Rendering Techniques
  • Geometric Computing
  • Virtual and Augmented Reality
  • Shape and Surface Modeling
  • Physically Based Modeling
  • Computer Vision for Computer Graphics
  • Scientific Visualization
  • Data Compression for Graphics
  • Medical Imaging
  • Computation Geometry
  • Image Based Rendering
  • Computational Photography
  • Computer Animation
  • Visual Analytics
  • Shape Analysis and Image Retrieval
  • Volume Rendering
  • Solid Modelling
  • Geometric Modelling
  • Computational Fabrication
  • Image Processing
  • 3D Reconstruction
  • Global Illumination
  • Graphical Human-Computer Interaction
  • Human Modelling
  • Image Analysis
  • Saliency Methods
  • Shape Matching
  • Sketch-based Modelling
  • Robotics and Vision
  • Stylized Rendering
  • Textures
  • Pattern Recognition
  • Machine Learning for Graphics

 

General Chair

Nadia Magnenat Thalmann, University of Geneva, Switzerland

Program Chairs

First track, papers submitted to CGI to be selected for Visual Computer

Daniel Thalmann, EPFL, Switzerland

George Papagiannakis, University of Crete, Greece

Second track, papers submitted to CGI to be selected for LNCS book

Jinman Kim, University of Sydney, Australia
Bin Sheng, Jia Tong University, China

Publication LNCS Chair

Marina Gavrilova, University of Calgary, Canada

Classification and Data Science in the Digital Age – IFCS 2022

IFCS 2022
Classification and Data Science in the Digital Age 17th Conference of the International Federation of Classification Societies

19th-23rd July 2022 – Porto, Portugal

Conference website: https://ifcs2022.fep.up.pt/ Write to us at: ifcs2022@fep.up.pt

We are proud to announce the keynote speakers that have already confirmed their participation to the IFCS 2022 Conference:
-Genevera Allen (USA)
-Charles Bouveyron (FR)
-Dianne Cook (AUS)
-João Gama (PT)

International workshop on “Fine Art Pattern Extraction and Recognition (FAPER 2022)” at ICIAP 2021

  International Workshop on Fine Art Pattern Extraction and Recognition
                           F A P E R   2 0 2 2

         in conjunction with the 21st International Conference on
                Image Analysis and Processing (ICIAP 2021)
                      Lecce, Italy, MAY 23-27, 2022

             >>> https://sites.google.com/view/faper2022 <<<

               *** Submission deadline: March 1, 2022 ***
-> Submission link: https://easychair.org/conferences/?conf=faper2022 <-

               [[[ both virtual and in presence event ]]]
________________________________________________________________________

=== 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.

Following the success of the first edition, organized in conjunction
with ICPR 2020, the aim of the workshop is to provide an international
forum for those wishing 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. The workshop
solicits contributions from diverse areas such as pattern recognition,
computer vision, artificial intelligence and image processing.

=== Topics ===

Topics of interest include, but are not limited to:
– Application 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 the art domain
– Speech, audio and music analysis from historical archives
– Digitally enriched museum visits
– Smart interactive experiences in cultural sites
– Projects, products or prototypes for cultural heritage restoration,
preservation and fruition
– Visual question answering and artwork captioning
– Art history and computer vision

=== Invited speaker ===

Eva Cetinic (Digital Visual Studies, University of Zurich, Switzerland)
– “Beyond Similarity: From Stylistic Concepts to Computational Metrics”

Dr. Eva Cetinic is currently working as a postdoctoral fellow at the
Center for Digital Visual Studies at the University of Zurich. She
previously worked as a postdoc in Digital Humanities and Machine
Learning at the Department of Computer Science, Durham University, and
as a postdoctoral researcher and professional associate at the Ruđer
Boškovic Institute in Zagreb. She obtained her Ph.D. in Computer science
from the Faculty of Electrical Engineering and Computing, University of
Zagreb in 2019 with the thesis titled “Computational detection of
stylistic properties of paintings based on high-level image feature
analysis”. Besides being generally interested in the interdisciplinary
field of digital humanities, her specific interests focus on studying
new research methodologies rooted in the intersection of artificial
intelligence and art history. Particularly, she is interested in
exploring deep learning techniques for computational image understanding
and multi-modal reasoning in the context of visual art.

=== Workshop modality ===

The workshop will be held in a hybrid form, both virtual and in presence
participation will be allowed.

=== Submission guidelines ===

Accepted manuscripts will be included in the ICIAP 2021 proceedings,
which will be published by Springer as Lecture Notes in Computer Science
series (LNCS). Authors of selected papers will be invited to extend and
improve their contributions for a Special Issue on IET Image Processing.

Please follow the guidelines provided by Springer when preparing your
contribution. The maximum number of pages is 10 + 2 pages for
references. Each contribution will be reviewed on the basis of
originality, significance, clarity, soundness, relevance and technical
content.

Once accepted, the presence of at least one author at the event and the
oral presentation of the paper are expected.

Please submit your manuscript through EasyChair:
https://easychair.org/conferences/?conf=faper2022

=== Important Dates ===

– Workshop submission deadline: March 1st 2022
– Author notification: March 10th 2022
– Camera-ready submission and registration: March 15th 2022
– Finalized workshop program: TBA
– Workshop day: TBA

=== Organizing committee ===

Gennaro Vessio (University of Bari, Italy)
Giovanna Castellano (University of Bari, Italy)
Fabio Bellavia (University of Palermo, Italy)
Sinem Aslan (University of Venice, Italy | Ege University, Turkey)

=== Venue ===

The workshop will be hosted at Convitto Palmieri, which is located in
Piazzetta di Giosue' Carducci, Lecce, Italy
____________________________________________________

  Contacts: gennaro.vessio@uniba.it
            giovanna.castellano@uniba.it
            fabio.bellavia@unipa.it
            sinem.aslan@unive.it

  Workshop: https://sites.google.com/view/faper2022
ICIAP2021: https://www.iciap2021.org/

Applications and Systems Track of KR2022

 

Call for Papers: Applications and Systems Track of the 19th Conference on Principles of Knowledge Representation and Reasoning (KR2022)

 

July 31 – August 5, 2022, Haifa, Israel

 

 

** IMPORTANT DATES **

* Submission of title and abstract: February 2, 2022

* Paper submission deadline: February 9, 2022

* Author response period: March 29-31, 2022

* Author notification: April 15, 2022

* Camera-ready papers: May 7, 2022

* Conference: July 31 – August 5, 2022

 

** DESCRIPTION **

Systems and applications incorporating Knowledge Representation and Reasoning (KR) have made tremendous progress over the last decades and become more and more pervasive in scientific, industrial and everyday life. Popular knowledge representation formalisms range from databases, ontologies, classical, probabilistic and non-monotonic logics to natural language, offering rich means to describe a variety of static as well as dynamic phenomena. Automated reasoning systems harness machine learning, combinatorial search and optimization methods, planning, proving, design and diagnosis techniques to provide powerful tools for analyzing and deriving conclusions from complex input data. Novel, general and interdisciplinary approaches are thus vital contributions at the intersection of science, industry and society, aiming to enhance the capabilities and outreach of KR principles and technologies.

 

This year, for the third time, KR 2022 will host a track on “Applications and Systems”. This track aims at providing researchers and industrial practitioners with a dedicated forum for presentation and discussion of new ideas, research experience and emerging results on topics related to applications of KR formalisms and automated reasoning systems. This track provides the opportunity for fostering meaningful connections between researchers from both practical and theoretical areas of AI and, at the same time, offers participants the possibility to learn about progress made on these topics, share their own views and elaborate about approaches that could lead to effective cross-fertilisation among research in challenging KR applications and new innovative systems for solving them.

 

 

** EXPECTED CONTRIBUTIONS **

The Applications and Systems Track at KR 2022 invites submissions of papers on all aspects of the development, deployment, and evaluation of KR systems to solve significant and challenging application problems, including:

– case studies, including suitable descriptions of the problem setting, data and tools used, and “lessons learnt”,

– use cases, including task specifications, related tasks/approaches, challenges, and a sketch of possible KR solution,

– benchmarks, including suitable descriptions of the dataset, reasoning tasks, and ideally some “solution set” or gold standard,

– system descriptions, including descriptions of the algorithm, implementation 

– and empirical evaluation on a suitable dataset.

 

We welcome the above kinds of papers on a wide range of topics, including classic KR tools/techniques as well as their usage for solving or supporting tasks in a range of areas, for example:

– Computational Biology

– Computer Vision and Image/Video Recognition

– Creative Computing

– Cybersecurity and Blockchain

– Data Analytics

– Databases and Query Answering

– Diagnosis and Explanation

– Game Theory and Social Choice

– Intelligent Transportation and Logistics

– Intelligent User Interfaces

– Internet of Things

– Machine Learning

– Natural Language Processing

– Digital Forensics

– Robotics and Human Robot Collaboration

– Semantic Web and Knowledge Graphs

– Software Engineering

– System Design

 

We welcome submissions talking about interdisciplinary applications of KR, for example in economics, education, life sciences, medicine, and pharmacology.

 

** AUTHOR GUIDELINES AND SUBMISSION INFORMATION **

The Applications and Systems Track will allow contributions of both regular papers (9 pages) and short papers (4 pages), excluding references, prepared and submitted according to the authors guidelines in the submission page:

 

The track emphasizes applications of KR and development of KR systems, and welcomes contributions showcasing the impact of KR research as well as driving future research by presenting challenging data, use cases and problems together with observations and insights gained.

 

Submissions will be rigorously peer reviewed by PC members, who are active in applications of KR and/or development of KR systems. Submissions will be evaluated on the basis of the overall quality of their technical contribution, including criteria such as originality, soundness, relevance, significance, quality of presentation, and understanding of the state of the art.

 

In this track, the selection process of the highest quality papers will further apply the following criteria:

– (for case studies) quality of the evaluation and significance of the “lessons learnt””

– (for use cases) importance and novelty of these use cases for KR

– (for system descriptions) quality of the empirical evaluation and its reporting

– (for benchmarks) reusability, coverage, and complexity of the datasets

 

** CHAIRS **

Alessandro Antonucci (IDSIA, Switzerland)

Matthias Thimm (University of Hagen, Germany)

 

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