ECAI-2024: Call for Papers, Tutorial Proposals and Workshop Proposals

The 27th European Conference

on Artificial Intelligence (ECAI-2024) will be held in the beautiful city of Santiago de Compostela during 19-24 October 2024. Join us to mark the 50th birthday since the first AI conference was held in Europe back in 1974.

We

invite all members of the international AI research community to submit their best work to ECAI. We furthermore invite proposals for workshops and tutorials to be held during the first two days of the conference. Proposals from all subfields of AI, and organisers

and presenters of all levels of seniority are welcome.

 

The

deadlines are as follows:

 

Workshop

proposals: Monday, 15 January 2024

Tutorial

proposals: Thursday,

15 February 2024

Papers:

 

  Thursday, 25 April 2024 (abstract deadline one week earlier)

Demos:

 

  Thursday, 9 May 2024

Consult

the ECAI-2024 website for the full Calls:   

 

Call

for Workshop Proposals:

https://www.ecai2024.eu/calls/workshops

Call

for Tutorial Proposals:

https://www.ecai2024.eu/calls/tutorials

Call

for Papers:

https://www.ecai2024.eu/calls/main-track

Call

for Demos: https://www.ecai2024.eu/calls/demos

Calls

for the Doctoral Consortium and our sister conference on Prestigious Applications of Intelligent Systems (PAIS) will get published soon, so please stay tuned.

The 8th International Conference on Belief Functions (BELIEF 2024)

;word-spacing:0px”> The 8th International Conference on Belief Functions (BELIEF 2024)

Dates: September 4th-6th, 2024

Location: Belfast, Ulster University, Northern Ireland, UK

* April 15, 2024: Paper submission deadline

* May 31, 2024: Author notification

* June 30, 2024: Camera-ready copy due

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

The theory of belief functions, also referred to as evidence theory or Dempster-Shafer theory, was first introduced by Arthur P. Dempster in the context of statistical inference, and was later developed by Glenn Shafer as a general framework for modeling epistemic uncertainty generalizing Bayesian probability theory. These early contributions have been the starting points of many important theoretical and practical developments. The theory of belief functions is now well established as a general framework for reasoning with uncertainty, and with applications in machine learning, statistical inference, information fusion, knowledge representation, risk analysis, etc. It has well understood connections with other frameworks such as probability, possibility and imprecise probability theories. 

The biennial BELIEF conferences (sponsored by the Belief Functions and Applications Society https://www.bfasociety.org/) are dedicated to the confrontation of ideas, the reporting of recent achievements and the presentation of the wide range of applications of this theory. Previous editions of this conference series were held in Brest, France (2010); in Compiègne, France (2012); in Oxford, UK (2014); in Prague, Czech Republic (2016); in Compiègne, France (2018); in Shanghai, China (2021); and in Paris, France (2022). The Eighth International Conference on Belief Functions (BELIEF 2024) will be held in Belfast, Northern Ireland, UK, on September 4th-6th, 2024.

To support cross-fertilization among researchers working in different subfields of AI and related disciplines, tutorials and special sessions will be proposed and dedicated to the links between machine learning and uncertain reasoning, including topics such as quantification of prediction uncertainty, fusion rules for ensemble learning, belief propagation over deep neural networks, links with explainable and symbolic AI, etc. Submissions of papers combining several of these topics, or more generally at the cross-road of belie functions and other AI methods or uncertainty theories, along with relevant applications, are welcome.

===========

Proceedings

===========

Proceedings of the previous editions of BELIEF have been published by Springer-Verlag as volumes of the Lecture Notes in Artificial Intelligence (LNCS/LNAI) series and indexed by: ISI Web of Science; EI Engineering Index; ACM Digital Library; dblp; Google Scholar; IO-Port; MathSciNet; Scopus; Zentralblatt MATH. The Springer-Verlag has confirmed that the BELIEF2024’s proceedings will be continually published in the Lecture Notes in Artificial Intelligence (LNCS/LNAI).

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

IJAR Special issue

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

Authors of selected papers from the BELIEF 2024 conference will be invited to submit extended versions of their papers for possible inclusion in a special issue of the International Journal of Approximate Reasoning.

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

BELIEF 2024 Program Committee co-chairs

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

Dr Yaxin Bi (y.bi@ulster.ac.uk” target=”_blank”>y.bi@ulster.ac.uk), Ulster University, UK

Dr Anne-Laure Jousselme (anne-laure.jousselme@csgroup.eu” target=”_blank”>anne-laure.jousselme@csgroup.eu), CS Group, France

INVICTA 2024 @Porto CALL FOR APPLICATIONS



         

Special Issue: Camera Traps, AI, and Ecology – IET Computer Vision Journal

Call for Papers – IET Computer Vision

Special Issue: Camera Traps, AI, and Ecology

Submission deadline: Friday, 15 December 2023

Website: https://ietresearch.onlinelibrary.wiley.com/hub/journal/17519640/homepage/call-for-papers/si-2023-000769

The development and integration of computer vision techniques into research pipelines for biodiversity, species conservation, animal husbandry, taxonomic research, and ecology has recently evolved from a niche field into an ever more important and growing interdisciplinary subject. Alongside drones, satellites, and manual photography, camera traps form the most frequently employed, often most impactful, and also cost-effective visual sensor class in large-scale use today. New cross-disciplinary science directions such as imageomics and animal biometrics are taking shape on the back of this increasing visual sensor capacity bridging from visual measurement to biological interpretation. Maybe most importantly though, ecological applications of AI and specifically computer vision have started to make a positive impact on the real-world monitoring of wildlife and related conservation actions via tools for the detection, tracking, and analysis of animals and their behaviours.

This special issue aims at providing a high-quality publication platform in this interdisciplinary domain, in particular for novel computer vision techniques, significant dataset contributions, pioneering applicational work, and inspiring interdisciplinary ventures that integrate vision engineering with ecological research.

Topics for this call for papers include but not restricted to:

  • Camera trap datasets (images, image sequences, or videos) from wildlife camera traps, insect cameras, or other animal monitoring cameras (e.g., in a Zoo or other controlled environments)
  • Animal detection (in images or videos)
  • Identification of individuals and morphological traits (in images or videos)
  • Species and fine-grained recognition approaches for animals (in images or videos)
  • Animal pose estimation (in images or videos)
  • Tracking of animal movement (in images or videos)
  • Video recognition of animal behaviour
  • Applying AI methods to camera trap data for answering ecological questions including new ecological questions or important open problems that can’t be solved with current AI approaches.

Guest Editors:

Tilo Burghardt
University of Bristol
United Kingdom

Majid Mirmehdi
University of Bristol
United Kingdom

Paul Bodesheim
University of Jena
Germany

Joachim Denzler
University of Jena
Germany

Dimitri Korsch
University of Jena
Germany

Otto Brookes
University of Bristol
United Kingdom

Marco Heurich
University of Freiburg
Germany

Hjalmar S. Kühl
Max Planck Institute
Germany

Dr.-Ing. Paul Bodesheim
Teamleiter / Team Leader: “Computer Vision and Machine Learning”

Lehrstuhl für Digitale Bildverarbeitung / Computer Vision Group
Fakultät für Mathematik und Informatik / Department of Mathematics and Computer Science
Friedrich-Schiller Universität Jena / Friedrich Schiller University Jena

Ernst-Abbe-Platz 2
07743 Jena, Germany

Telefon / Phone: +49 3641 9 46410
E-Mail: paul.bodesheim@uni-jena.de
Internet: https://www.inf-cv.uni-jena.de/bodesheim.html

Conferences: CASA 2024 Call for Papers

CASA 2024    Call for Papers

The 37th International Conference on Computer Animation and Social Agents (CASA 2024) will be held on June 5-7, 2024, in Wuhan, China. The conference is organized by the Wuhan Textile University (WTU), Shanghai Jiao Tong University (SJTU), State Key Laboratory of Computer Science, Institute of Software, Chinese Academy of Sciences and State Key Laboratory of Multimodal Artificial Intelligence Systems/National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences. It is supported by the Computer Graphics Society (CGS). CASA is the oldest international conference in computer animation and social agents in the world. It was founded in Geneva in 1988 under the name of Computer Animation (CA) by the Computer Graphics Society (CGS). In the past few years, CASA was held in Europe (Belgium, Netherlands, France, Switzerland, UK, etc.), Asia (Korea, China, Singapore) and the United States. CASA 2024 will provide a great opportunity to interact with leading experts, share your own work, and educate yourself through exposure to the research of your peers from around the world.

IMPORTANT DATES

Submission for Special Issue of Computer Animation and Virtual World (CAVW)

  • Submission: February 8, 2024
  • Notification of acceptance: April 10, 2024
  • Camera ready:  April 30, 2024 (23:59 GMT)
  • Author Registration: May 8, 2024

Posters and Demos

  • Submission: March 8, 2024
  • Notification of acceptance:  March 20, 2024

PAPER SUBMISSION

We invite submissions of research full papers, short papers, and posters on a broad range of topics, including but not limited to Computer Animation, Embodied Agents, Social Agents, Virtual and Augmented Reality, and Visualization (see below for a detailed list).

Submitted papers will be reviewed by the program committee and papers of high quality will be referred for publication in the Computer Animation and Virtual Worlds (CAVW) journal published by Wiley, Virtual Reality & Intelligent Hardware(VRIH), Visual Computing for Industry, Biomedicine, and Art(VCIBA), Journal of Shanghai Jiao Tong University. The papers accepted as is or with minor revision will be in a special issue. Those with major revision will be given a chance to resubmit and reviewed again by the conference PC for acceptance in a subsequent issue of CAVW. The rest will be either rejected or recommended for publication in conference proceeding. Authors will have to register and present the papers at the conference.

More details in terms of submission can be found in Paper Submission.

SCOPE AND LIST OF TOPICS

CASA invites submissions on a broad range of topics, including but not limited to:

 

Computer Animation

Motion Control

Motion Capture & Retargeting

Path Planning

Physics-based Animation

Vision-based Techniques

Behavioral Animation

Artificial Life

Deformation

Facial Animation

Image-based Animation

Multi-Scale Models

Knowledge-based Animation

Animation Compression & Transmission

Machine Learning for Animation

AI-based Modeling and Animation

Game-Based Learning

 

 

Social Agents

Social Agents and Avatars

Emotion and Personality

Virtual Humans

Autonomous Actors

AI-based Animation

Social and Conversational Agents

Inter-Agent Communication

Social Behavior

Crowd Simulation

Machine learning

Social Robot

 

 

Other Related Topics (in VA/AR)

Deep Learning methods

Artificial Agents in Virtual Reality

Mixed and Augmented Reality

Population Generation for Virtual Worlds

Virtual Cities

Virtual humans and avatars

Anthropometric Virtual Human Models

Digital clones

VR health applications

Shared Virtual Environments

Semantics & Ontologies for Animation in VR

Anthropometric Virtual Human Models

Acquisition & Reconstruction from Big Data

Cultural Heritage Applications

3D Physiological Humans

3D Telepresence


Haptics

 

General Conference Co-Chairs

Prof. Weilin Xu (President, Wuhan Textile University; Academicians of the Chinese Academy of Engineering)

Prof. Nadia Magnenat Thalmann (MIRALab, University of Geneva, Switzerland)

Prof. Enhua Wu (Chinese Academy of Sciences and University of Macau)

Program Co-Chairs

Prof. Daniel Thalmann (École Polytechnique Fédérale de Lausanne | EPFL, Switzerland)

Prof. Xinrong Hu(Dean, College of Computer Science and Artificial Intelligence, Wuhan Textile University)

Prof. Sheng Li (Peking University)

Prof. Bin Sheng (Shanghai Jiao Tong University)

Prof. Weiliang Meng (Chinese Academy of Sciences)

Publicity Co-Chairs

Ping Li(The Hong Kong Polytechnic University)

Local Organization Co-Chairs

Ruhan He (Wuhan Textile University)

Tao Peng (Wuhan Textile University)

Jin Huang (Wuhan Textile University)

Publication Co-Chairs

Jian Zhu (Guangdong University of Technology)

Xiao Lin (Shanghai Normal University)

Workshop Co-Chairs

Guangzheng Fei (Communication University of China, China)

Ye Pan (Shanghai Jiao Tong University)

Postgraduate Student Forum Chair

Ran Yi (Shanghai Jiao Tong University)

Youquan Liu (Chang ’an University)

 

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