Conferences: CGI 2025 Call for Papers

January 8th, 2025 Daniela Lopez de Luise


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CALL FOR PAPERS

 

COMPUTER GRAPHICS INTERNATIONAL, CGI 2025

The Hong Kong Polytechnic University, Hong Kong, July 14 – 18, 2025

 

https://www.cgs-network.org/cgi25

 

CGI is one of the oldest annual international conferences on Computer Graphics in the world. Half centuries of influence, we are dedicated to making CGI as a top conference on graphics and media. Researchers are invited to share their experiences and novel achievements in various fields of Computer Graphics, Media, and Virtual Reality. Previous recent CGI conferences have been held in Sydney, Australia (2014), Strasbourg, France (2015), Heraklion, Greece (2016), Yokohama, Japan (2017), Bintan, Indonesia (2018), Calgary, Canada (2019), and Shanghai, China (2023). CGI has been virtual between 2020 and 2022 due to the COVID pandemic, and has been held last year in Geneva, Switzerland (2024).

This year, CGI 2025 is organized by The Hong Kong Polytechnic University, and supported by the Computer Graphics Society (CGS). The Visual Computer Journal, published by Springer Nature, is the official journal of the Computer Graphics Society.

You are invited to submit your full papers to CGI 2025 via EasyChair. As in previous years, CGI 2025 papers can be submitted either for possible publication in The Visual Computer journal, or in the CAVW, VRIH journals, and CGI Conference Proceedings (LNCS-Springer).

The main topics of the CGI 2025 conference are the following:

  • Rendering Techniques
  • Geometric Computing
  • Metaverse (VR/MR/XR)
  • Shape and Surface Modeling
  • Physically-Based Modeling
  • Computer Vision for Graphics
  • Scientific Visualization
  • Data Compression for Graphics
  • Medical Imaging
  • Computational Geometry
  • Image-Based Rendering
  • Computational Photography
  • Computer Animation
  • Visual Analytics
  • Shape Analysis and Image Retrieval
  • AI-Generated Content (AIGC)
  • Volume Rendering
  • Digital Cultural Heritage
  • Computational Fabrication
  • Image Processing and Analysis
  • 3D Reconstruction
  • Global Illumination
  • Graphical Human-Computer Interaction
  • Digital Humans
  • Saliency Methods
  • Shape Matching
  • Sketch-Based Modeling
  • Robotics and Vision
  • Stylized Rendering
  • Textures
  • Machine Learning for Graphics
  • 3DGS/NeRF-Based Rendering

GENERAL GUIDELINES FOR PAPERS SUBMISSIONS

The scientific program of the conference will include accepted papers from the first call for papers and these accepted papers will be published by Springer in The Visual Computer Journal (IF: 3.0) by Springer-Nature. The accepted papers from the second call for papers will be included either in the CGI Conference Proceedings published by LNCS, Springer, or in the VRIH journal (Virtual Reality and Intelligent Hardware journal published by Science Press), or in the CAVW journal (Computer Animation and Virtual Worlds) published by Wiley.

Note that for ALL submissions, 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.

IMPORTANT DATES

All deadlines are 23:59 GMT time on the date stated

The Visual Computer Journal Submission

Submission Deadline: February 18, 2025

Preliminary Notification to Authors: March 30, 2025

Revised Paper Submission Deadline: April 27, 2025

Final Notification of Revised Papers: May 10, 2025

CGI Proceedings (LNCS Book), CAVW Journal, VRIH Journal 

Submission Deadline: May 2, 2025                       

Notification of Acceptance: June 5, 2025           

Revised Final Paper: June 20, 2025

Honorary Conference Chairs

  • Enhua Wu, Chinese Academy of Sciences / University of Macau, China
  • Yiannis Aloimonos, University of Maryland, U.S.A.
  • Jian Jun Zhang, Bournemouth University, U.K.

Conference Chairs

  • Nadia Magnenat-Thalmann, University of Geneva, Switzerland
  • Ping Li, The Hong Kong Polytechnic University, Hong Kong
  • Bin Sheng, Shanghai Jiao Tong University, China
  • Jinman Kim, The University of Sydney, Australia

International Program Chairs

Contact:

comp.cgi2025hk@polyu.edu.hk

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HHAI 2025 Doctoral Consortium (DC) – 4th International Conference on Hybrid Human-Artificial Intelligence – June 2025, Pisa, Italy

January 8th, 2025 Daniela Lopez de Luise

The HHAI 2025 Doctoral Consortium (DC) will take place as part of the 4th International Conference on Hybrid Human-Artificial Intelligence in June 2025, Pisa, Italy: https://hhai-conference.org/2025/

This forum will provide early as well as middle/late-stage PhD students in the field of Hybrid Intelligence focusing on the study of Artificial Intelligence systems that cooperate synergistically, proactively and purposefully with humans, amplifying instead of replacing human intelligence. The Doctoral Consortium will take place in person at the HHAI 2025 conference.

The DC provides an opportunity to present and discuss their doctoral research ideas and progress in a supportive, formative and yet critical environment and receive feedback from reviewers, mentors and peers from the field of Hybrid Intelligence. The Doctoral Consortium will also provide opportunities to network and build collaborations with other members of the HHAI community. We welcome submissions across research HHAI-related domains such as AI, HCI, cognitive and social sciences, philosophy & ethics, complex systems, and others (see “Topics of interest”).

The event is intended for early as well as middle/late-stage PhD candidates and asks them to formulate and submit a concrete PhD research proposal, preferably supported by some preliminary results. The proposal will be peer-reviewed. If accepted, students must register and physically attend the event, which will include a range of interactive activities (among which presentations and mentoring lunch). Details for the submission are found below under “Submission Details”.

**Important Dates**

Submission Deadline: January 24, 2024

Reviews Released: March 18, 2025

Camera-ready Papers: April 13, 2025

Doctoral Consortium: June 10, 2025

All deadlines are 23:59 AoE (anywhere on Earth)

**Topics of Interest**

We invite research on different challenges in Hybrid Human-Artificial Intelligence. The following list of topics is illustrative, not exhaustive:

        •       Human-AI interaction, interpretation and collaboration

        •       Adaptive human-AI co-learning and co-creation

        •       Learning, reasoning and planning with humans and machines in the loop

        •       User modeling and personalisation

        •       Integration of learning and reasoning

        •       Transparent, explainable, and accountable AI

        •       Fair, ethical, responsible, and trustworthy AI

        •       Societal awareness of AI

        •       Multimodal machine perception of real-world settings

        •       Social signal processing

        •       Representations learning for Communicative or Collaborative AI

        •       Symbolic representations for human-centric AI

        •       Human-AI Coevolution

        •       Foundation models and humans

        •       Human cognition-aware AI

        •       Decentralized human-AI systems

        •       Reliability and robustness in human-AI systems

        •       Applications of hybrid human-AI intelligence

**Submission Details**

All proposals must be submitted electronically via the EasyChair conference submission system: https://easychair.org/my/conference?conf=hhai2025. Each PhD student should provide the following information on Easychair:

        •       Research proposal (details below).

        •       Supplementary material: a maximum of 2-page PDF listing the following:

        •       Names and affiliations of your research supervisor(s).

        •       Dissertation status: When you began your PhD, and expected to complete it. Are there any constraints on the PhD duration from your institute? This part helps us better tailor feedback to a realistic timeline according to your program.

        •       Benefits statement: 1-2 paragraphs describing what you hope to gain by participating in the doctoral consortium. Highlight specific points where you require feedback.

        •       A personal statement citing three key papers in the field and briefly describing how they influenced the student’s work and how HHAI is defined in those works and the student’s research.

        •       List of the student’s relevant publications (if available).

**Research Proposal Details**

Students should submit a maximum of a 6-page description of their PhD research proposal. Papers should be written in English and adhere to IOS formatting guidelines. The limit of 6 pages is excluding references.

The papers should have a single author (the PhD candidate) and submissions are *not* anonymous. Supervisors, other involved persons, and funding agencies should be acknowledged in an Acknowledgements section.

Research proposals should contain the following elements:

        •       Context: The background and motivation for your research, including the related work that frames your research

        •       Research questions/challenges: what are the research questions/challenges that your dissertation addresses? Try to highlight how it differs from existing literature.

        •       Method/approach and evaluation: how is each of the research questions answered? How are results evaluated? If you are planning to conduct studies or build prototypes, provide a brief description.

        •       Preliminary results (if available). Highlight results and contribution to date and the timeplan for projected steps.

        •       Discussion and future work: What are intermediary conclusions, and what are the planned next steps?

**Upon Acceptance of the Doctoral Consortium Proposal**

Accepted papers will be published in the main conference proceedings of the Third International Conference on Hybrid Human-Machine Intelligence, in the Frontiers in AI and Applications (FAIA) series by IOS Press. Authors will have the opportunity to opt-out from being included in these proceedings, with only their proposal title being mentioned on the web page.

Participants will be expected to give short, informal presentations of their work during the consortium, to be followed by a discussion.

In case there are any questions regarding the call, or if you are unsure about submitting your work to the HHAI 2025 Doctoral Consortium, please reach out to dc@hhai-conference.org   

**DC Chairs**

Jennifer Renoux (Örebro University)

Salvatore Ruggieri (University of Pisa)

Stefan Schlobach (Vrije Universiteit Amsterdam)

Shihan Wang (Utrecht University)

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FMEC 2025 CFP: The 10th International Conference on Fog and Mobile Edge Computing, Tampa, Florida, USA. May 19-22, 2025

January 8th, 2025 Daniela Lopez de Luise


The 10th International Conference on Fog and Mobile Edge Computing (FMEC 2025)

https://emergingtechnet.org/FMEC2025/index.php

Tampa, Florida, USA. May 19-22, 2025

Technically Co-Sponsored by IEEE Florida West Coast Section

FMEC 2025 CFP:

Cloud computing provides a large range of services and virtually unlimited available resources for users. New applications, such as virtual reality and smart building control, have emerged due to the large number of resources and services brought by cloud computing. However, the delay-sensitive applications face the problem of large latency, especially when several smart devices and objects are getting involved in human’s life such as the case of smart cities or Internet of Things. Therefore, cloud computing is unable to meet the requirements of low latency, location awareness, and mobility support. To solve this problem, researchers have introduced a trusted and dependable solution through the Fog and the Mobile Edge Computing (FMEC) to put the services and resources of the cloud closer to users, which facilitate the leveraging of available services and resources in the edge networks. By this, we are moving from the core (cloud data centers) to the edge of the network closer to the users. FMEC dependability is based on providing user centric service. The purpose of Fog and the Mobile Edge Computing is to run the heavy real-time applications at the network edge directly using the billions of connected mobile devices.

Several features enable the Fog and the Mobile Edge Computing to be a perfect paradigm to the aforementioned purpose, which are the dense geographical deployment of servers, supporting mobility and the closeness to users. As in every new technology, some challenges face the vision of the Fog and the Mobile Edge Computing, which are the administrative policies and security concerns (i.e. secure data storage, secure computation, network security, data privacy, usage privacy, location privacy, etc). FMEC 2025 conference aims to investigate the opportunities and requirements for Mobile Edge Computing dominance. In addition, it seeks for novel contributions that help mitigate Mobile Edge Computing challenges. That is, the objective of FMEC 2025 is to provide a forum for scientists, engineers, and researchers to discuss and exchange new ideas, novel results and experience on all aspects of Fog and Mobile Edge Computing (FMEC). FMEC 2025 is Technically Co-Sponsored by IEEE Florida Section. Researchers are encouraged to submit original research contributions in all major areas, which include, but not limited to the following:

  • Fog and Mobile Edge Computing in unmanned aerial vehicle communications and applications
  • Fog and Mobile Edge Computing in mission-critical systems
  • Intelligent Transportation Systems
  • Edge-cloud computing architectures, frameworks and platforms
  • Edge-cloud networking and communication
  • Quality of Service (QoS) improvement techniques
  • Network virtualization for Edge-to-cloud systems
  • FMEC and IoT Data Communication Protocols
  • Industrial Fog and Mobile Edge Computing Applications
  • Mobile Cloud Computing Systems and Applications
  • FMEC in Environmental Sustainability
  • Trustworthy AI for Edge and Fog Computing
  • Security and Privacy in Fog and Mobile Edge Computing
  • Decentralized Data Management and Streaming Systems in FMEC
  • Data storage, processing, and management at FMEC platform
  • Federated learning and distributed machine learning in the fog and on the edge
  • 5G and fog/edge computing
  • Middleware and runtime systems for fog/edge infrastructures
  • Energy-efficient fog/edge computing
  • Edge/fog-to-cloud APIs and protocols
  • Mobility, connectivity, heterogeneity support for edge/fog services
  • Load balancing/scheduling in fog/edge computing
  • Crowdsourcing and establishing trust on data sources
  • Decision support systems for Edge-cloud computing
  • AI-based or data-driven orchestration of workflows in Edge computing
  • Automatic scheduling and deployment of workflows and services in Edge computing
  • Distributed management of Edge computing
  • Mechanisms and data structures for the governance of Edge computing
  • Interfaces, orchestration and optimization of the Networking-Computing continuum
  • In-network computing for the edge-cloud continuum
  • Novel programming models for Edge computing
  • Dynamic Edge/Fog environments
  • Automatic deployment and continuous dynamic composition of Edge services
  • Semantic annotation of Edge/Fog services
  •  AI in Autonomous Urbanism

 

Submissions Guidelines and Proceedings

Manuscripts should be prepared in 10-point font using the IEEE 8.5″ x 11″ two-column format. All papers should be in PDF format, and submitted electronically at Paper Submission Link. A full paper can be up to 8 pages (including all figures, tables and references). Submitted papers must present original unpublished research that is not currently under review for any other conference or journal. Papers not following these guidelines may be rejected without review. Also submissions received after the due date, exceeding length limit, or not appropriately structured may also not be considered. Authors may contact the Program Chair for further information or clarification. All submissions are peer-reviewed by at least three reviewers. Accepted papers will appear in the FMEC Proceeding, and be published by the IEEE Computer Society Conference Publishing Services and be submitted to IEEE Xplore for inclusion.

Submitted papers must include original work, and must not be under consideration for another conference or journal. Submission of regular papers up to 8 pages and must follow the IEEE paper format. Please include up to 7 keywords, complete postal and email address, and fax and phone numbers of the corresponding author. Authors of accepted papers are expected to present their work at the conference. Submitted papers that are deemed of good quality but that could not be accepted as regular papers will be accepted as short papers. Length of short papers can be between 4 to 6 pages.

Important Dates:

Submission Date: 15 Jan 2025
Notification to Authors: 1 Apr 2025
Camera Ready Submission: 21 Apr 2025

Contact:

Please send any inquiry on FMEC to Sadi  Alawadi at: Sadi.alawadi@bth.se

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Special Session at IJCNN, “Digital Twinning in Smart Applications”

January 8th, 2025 Daniela Lopez de Luise
“>*********On-site and Virtual (Remote) Attendance*********

Call for Papers –  “Digital Twinning in Smart Applications”

At the International Joint Conference on Neural Networks

June 30 – July 5, 2025 Rome, Italy

Submission deadline: January 15, 2025

About The Special Session
============================================

The advent of digital twins has revolutionized the simulation and optimization of real-world scenarios. Digital twins are comparable virtual replicas of real-world systems, assets, or processes that allow for real-time optimization, simulation, and monitoring. Through a complete or semi-complete digital replication of a physical object, they provide performance analysis, problem prediction, and scenario testing without affecting the real system. When combined with deep learning, these virtual replicas gain the ability to learn from extensive data, adapt to changing conditions, and predict future states with exceptional precision. This integration enables digital twins to not only reflect their physical counterparts but also anticipate issues, enhance performance, and autonomously support decision-making processes. The applications are extensive: in manufacturing, it leads to smart factories where production lines optimize themselves for efficiency; in healthcare, patient-specific digital twins can forecast health trajectories and tailor treatments; in urban planning, city-wide digital twins can model traffic and energy use to improve sustainability. Deep learning allows digital twins to become dynamic entities that change in tandem with their physical counterparts, creating interesting prospects for innovation in a variety of research and application areas.

Topics
============================================
The topics of interest are inspired by the themes above and include, but are not limited to: 
• Healthcare and Personalized Medicine
• Predictive Maintenance and Anomaly Detection
• Smart Agriculture, Autonomous Systems and Robotics, Smart Cities and Infrastructure Management, Simulation and Virtual Environments, as well as Supply Chain Optimization
• Scalability and Federated Learning for Distributed Digital Twins
• Natural Language Processing for Human-Digital Twin Interaction
• Deep Learning in Digital Twin Cybersecurity and Privacy-Preserving Deep Learning
• Data Fusion and Multi-modal Learning into Digital Twin systems
• Generative Models for Synthetic Data Generation in Digital Twins
• Continuous Learning and Adaptation in Digital Twins
• Explainable AI (XAI) for Digital Twins
• Transfer Learning for Digital Twin Customization
Submission Information
============================================

Manuscripts related to the Special Session shall be submitted through the CMT paper submission website as a regular paper (Main Track) by selecting this special session “Digital Twinning in Smart Applications” as primary Subject Area. All submitted papers will be reviewed in the same process as the regular papers. Accepted contributions will be part of the conference proceedings.
In order to prepare your submission, please follow the guidelines of the main conference at https://2025.ijcnn.org/authors/initial-author-instructions.

Special Session Co-Chairs
============================================

Imad Rida, University of Technology of Compiegne, France (imad.rida@utc.fr)
Carmen Bisogni, University of Salerno, Italy (cbisogni@unisa.it) 
Lucia Cascone, University of Salerno, Italy (lcascone@unisa.it)
Fei Hao, Shaanxi Normal University, China (fhao@snnu.edu.cn)
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1th International Workshop on Quantum Computing, IoT, and Computer Vision: Securing the Future of Intelligent Environments (QUITE2025) – 21st International Conference on Intelligent Environments (IE2025)

January 8th, 2025 Daniela Lopez de Luise
Special Issue!

The authors of chosen papers presented at QUITE2025 have the opportunity to submit an extended version of their contributions to the Special Issue “Quantum-Enhanced Security and Computer Vision in Intelligent Environments” on Multimedia Tools and Applications. The link to the call for papers is here.

 

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