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


The 10th IEEE 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 Feb 2025 (Extended)
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

[Pattern Analysis and Applications] — Special Issue on Pedestrian Attribute Recognition and Person Re-Identification

Special Issue on Pedestrian Attribute Recognition and Person
Re-Identification
Pattern Analysis and Applications
Website: https://link.springer.com/collections/ifbjhfcbbh

Submission Deadline: 31 January 2025

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=== Call for papers ===

Pedestrian attributes recognition and person re-identification from
images and videos is nowadays a relevant problem in several real
applications, such as forensics, digital signage, social robotics,
business intelligence, people tracking and multi-camera person
re-identification.
In terms of neural network architecture, there is still a limited use of
visual attention mechanisms, which could allow for more accurate and
efficient part localization and recognition; furthermore, recent
advanced fully convolutional network architectures or based on
transformers could be explored. Newly designed loss functions could be
adopted to deal with unbalanced data, while multi-task learning
approaches may represent an excellent solution to exploit the
interdependencies between the attributes while maintaining the
processing time unchanged as the number of attributes increases.
The efficiency is another aspect that is important to consider, since
fast person re-identification is crucial for people tracking and
multi-camera person re-identification in crowded scenarios such stations
or airports; to this aim, in addition to multi-task architectures,
end-to-end solutions for people detection, re-identification and
tracking would be of great interest to the scientific community.
The robustness of these methods should be investigated in various
background, resolution, and illumination conditions, considering that
these variations can interfere with the recognition of pedestrian
attributes and affect the performance of person re-identification;
datasets and benchmark soliciting the algorithms in the wild would be a
significant contribution to this aim. To achieve this robustness,
multi-frame or multi-modal inputs may be considered; video-based or
multi-sensor (RGB camera, thermal camera, depth camera, LIDAR)
pedestrian attribute recognition and person re-identification approaches
could exploit the additional information to improve accuracy and
robustness of real applications. Finally, it is worth mentioning that
the very recent Pedestrian Attribute Recognition contest (PAR 2023) was
won by a method based on Visual Question Answering; this surprising and
impressive result suggests that the investigation of this type of
methods or other foundation models can be a very promising line of
research in this field.
Considering the relevance of the topic for the possible exploitation in
real applications and all the above-mentioned possible directions of
research and improvements of existing algorithms, the special issue has
the goal of collecting innovative scientific papers to advance the state
of the art in the recognition of pedestrian attributes and person
re-identification. The topic and the innovative contributions in this
field are aligned with the aims and scope of the journal and, thus, can
be relevant for its audience and readership.

Topics of interest of the proposed Special Issue, related to pedestrian
attribute recognition and person re-identification, are but not limited
to:

• Machine learning algorithms for human attribute recognition
• Deep learning models for people detection and classification
• Appearance based people tracking
• Multi-camera people re-identification
• Multi-frame person retrieval
• Multi-modal people detection and re-identification
• Visual question answering applied to human attributes
• New datasets and benchmark for pedestrian attribute recognition and
person re-identification
• Novel applications and case studies in surveillance scenarios

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

=== Guest editors ===

Modesto Castrillon-Santana (University of Las Palmas De Gran Canaria,
Spain)
Antonio Greco (University of Salerno, Italy)
Nicolai Petkov (University of Groningen, The Netherlands)
Bruno Vento (University of Napoli Federico II, Italy)

Call for Participation: PBVS 2025 Multi-modal Aerial View Image Challenge – T

PBVS 2025 Multi-modal Aerial View Image Challenge – T (Translation)

The PBVS 2025 Multi-modal Aerial View Image Challenge – T invites researchers to advance the field of multi-modal image translation. This challenge focuses on developing high-quality image translation methods using a unique dataset of spatially aligned SAR-EO, EO-IR, and SAR-IR pairs. Participants will address the challenge of conditioned image generation, with results evaluated based on fidelity and perceptual similarity metrics.

Challenge Overview

The goal of the Translation track is to design a solution capable of producing high-quality and high-fidelity multi-modal image translations. Participants will leverage spatially aligned multi-modal data, with temporal alignment provided where possible. Evaluations will utilize established metrics, including L2 Norm, Frechet Inception Distance (FID), and Learned Perceptual Image Patch Similarity (LPIPS). Creativity and technical innovation are strongly encouraged, with top solutions judged on accuracy, novelty, and reproducibility.

Key Dates

  • 2025.01.19: Release of training data (inputs/outputs) and validation data (inputs only).
  • 2025.01.21: Validation server opens.
  • 2025.02.21: Final test data release (inputs only).
  • 2025.03.02: Deadline for test results, fact sheets, and code submissions.
  • 2025.03.04: Preliminary results and paper submission deadline.
  • 2025.06.11: PBVS Workshop at CVPR 2025, results, and award ceremony.

Awards and Opportunities

Top participants will receive awards for their solutions and will be invited to present their work at the 21st IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS), held in conjunction with CVPR 2025. Winning teams are also encouraged to submit their methods as papers for workshop presentation.

Evaluation Metrics

  • L2 Norm: Measures pixel-level accuracy.
  • Frechet Inception Distance (FID): Assesses image quality and distribution similarity.
  • LPIPS: Evaluates perceptual similarity of generated images.

Submission Guidelines

Participants are required to submit:

  1. Results of their translation methods for evaluation.
  2. Fact sheets detailing their approach and methodology.
  3. Code and executables to ensure reproducibility.

All submissions must adhere to the guidelines provided on the competition page.

Resources and Support

  • Scripts for reproducibility and evaluation will be provided.
  • For questions, participants can use the forum on the competition page or contact the organizers directly at mavoc.pbvs@gmail.com (Justice Wheelwright).

For full details, visit the competition page: PBVS 2025 Challenge – T (Translation).

This challenge is an opportunity to contribute to the advancement of multi-modal image translation methods and gain recognition at a premier conference in computer vision. We look forward to your participation.

SISAP 2025 – Call for Special Session Proposals

SISAP 2025 – Call for Special Session Proposals  [APOLOGIES FOR MULTIPLE POSTINGS]

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18th International Conference on Similarity Search and Applications, SISAP 2025 Reykjavik, Iceland, October 1-3, 2025

https://www.sisap.org/2025/

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Call for Special Sessions at SISAP 2025

Special sessions are mini-venues, each focusing on one state-of-the-art research direction within the field of similarity search and applications. Special session papers will supplement the regular research papers and be included in the proceedings of SISAP 2025, which will be published by Springer as a volume in the Lecture Notes in Computer Science (LNCS) series. Special sessions should generally be organized in a moderated panel format, typically led by one of the special session chairs, where the authors have reduced time to present their work, followed by an extensive Q&A session with the audience. It is expected that special session chairs attend the conference.

The panel format is a general guideline rather than a strict requirement. If a proposal envisages a different session format, we are open to such a submission and would negotiate it further.

Special Session Papers and Review Process

Normally, each special session will include four to five papers. Special session submissions may include vision/position papers, which will be evaluated based on the quality of the arguments and ideas proposed in the papers. In addition to invited papers, if any, the conference will also welcome open submissions to special sessions. In order to ensure high quality, all papers submitted to special sessions will be peer-reviewed through a strict review process, including papers solicited by the special session chairs. If a special session has many high-quality submissions, some of the submissions may potentially be moved to regular sessions; likewise relevant accepted submissions may be moved into special sessions. 

The review process will be coordinated with the regular technical program review process, as coordinated by the PC chairs. The organizers of each special session must provide two reviews per submitted/invited paper, while the regular program committee will provide another two reviews. The final decision on acceptance/rejection will be proposed by the special session chairs and approved by the SISAP 2025 program committee chairs. If special session chairs submit work to their own session, the review process for those papers must be managed by the SISAP 2025 program committee chairs.

Special session papers must follow the same guidelines as regular research papers with respect to restrictions on formatting, length, and will follow a double-blind review procedure. 

Special Session Proposal Submission Instructions

Special session proposals must be submitted by email to sisap2025@isti.cnr.it  by February 3, 2025. Proposals will be evaluated by SISAP 2025 general chairs and program committee chairs, based on the relevance to SISAP, qualification(s) of the organizer(s), proposal quality, and anticipated community interest in the topic/proposed potential papers. 

Please include the following information in your proposal:

  • Title (and preferably an acronym) of the proposed special session.

  • Name, affiliation, brief biography and contact information for each of the organizers.

  • A session abstract including significance justification and a brief overview of the state-of-the-art of the proposed special session topic. Note: The session abstract should be in a format that can be copied directly to the conference web-page to advertise the session.

  • List of solicited papers, if applicable, including for each paper: tentative title, author list, and preferably a short abstract; if session chairs anticipate submitting to their session, it is worth noting here as well.

  • Proposal for arrangement of the reviews from session organizers (e.g. list of reviewers for the special session).

  • Description of the session format (e.g. panel, technical talks, poster session).

  • Plans for advertising the special session (e.g. targeted distribution lists, projects, communities).

Important Dates for Special Session Proposals

Submission Deadline 3 February 2025

Notification of Acceptance 17 February 2025

Topics of Interest

Topics of interest to the SISAP community include (but are not limited to) the following:

  • Similarity

    • Similarity queries (k-NN, range, reverse NN, top-k, Approximate and/or precise solutions, etc.)

    • Similarity measures (for vectors, graphs, structures, time series, complex data, tensors, secondary similarity, etc.)

    • Similarity operations (joins, ranking, classification, categorization, filtering, etc.)

  • Scalability

    • Indexing and access methods for similarity-based processing

    • High-performance/large-scale similarity search (distributed, parallel, etc.)

    • Data management (transaction support, dynamic maintenance, etc.)

  • Theory

    • Models of similarity

    • Intrinsic dimensionality and Curse of dimensionality

    • Discriminability and contrast

    • Languages for similarity databases

    • Manifolds and subspaces

  • Analytics, Learning, Artificial Intelligence

    • Feature selection and extraction for similarity search

    • Representations learning for feature extraction

    • Visual analytics for similarity-based operations

    • Learning/adaptive similarity measures

    • Similarity in learning and mining

    • Merging/combining multiple similarity modalities

  • Evaluation

    • Evaluation techniques for similarity queries and operations

    • Cost models and analysis for similarity data processing

    • Performance studies and comparisons

    • Test collections and benchmarks

  • Applications

    • Multimedia retrieval systems

    • Dense retrieval

    • Vector databases

    • Similarity search in emerging data domains

    • Applications of similarity-based operations

    • Industrial applications and case studies

    • Similarity search cloud services

    • Security and privacy of in similarity search

    • Similarity for forensics and security

Extended deadline IWSDS2025 (Bilbao, Spain) – Spoken Dialogue Systems

LAST CFP (Extended Deadline): IWSDS’2025 15th International Workshop on Spoken Dialogue Systems Technology

May 27-30 2025, Bilbao (Spain)
Paper Title, Author, and Abstract Submission deadlineJanuary 17th, 2025
Paper Submission deadlineJanuary 25th, 2025
In exceptional circumstances, a specific deadline extension may be considered upon request via iwsds2025@gmail.com.
This year’s conference theme is: Conversational Systems for Emotional Support and Customer Assistance. We also include a new industrial track. And we have three outstanding keynote speakers confirmed: Kristiina Jokinen from Japan, Björn Schuller from Europe and Roberto Pieraccini from USA.
Topics
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We especially invite paper submissions on the following topics:

  • User engagement and emotion in dialogue systems
  • Proactive, anticipatory, or incremental interaction
  • Use of humor and metaphors in dialogue systems
  • Multimodal and situated dialogue systems
  • Companions and personal assistant dialogue systems
  • Educational and healthcare applications
  • Big data and large scale dialogue systems
  • Digital resources for interactive dialogue management
  • Domain transfer and adaptation techniques for dialogue systems
  • Dialogue systems for low-resource languages
  • Multilingual dialogue systems
  • Dialogue system evaluation
  • Machine learning for dialogue systems
  • Interaction styles in dialogue systems
  • LLMs in task-oriented dialogue systems
  • LLMs for context tracking and management in dialogue systems
  • Ensuring safety and explainability in LLM-powered dialogue systems
  • Grounded, personalized and adaptive response generation in dialogue systems
  • Mitigating harmful, toxic, or biased language generation in dialogue systems
  • Large-scale, high-quality dialogue corpora collection, annotation, labeling and evaluation
  • Integration of AI-based consciousness and awareness capabilities on computational systems
  • Ethical considerations for AI-based conversational systems 

However, submissions are not limited to these topics and we encourage you to submit papers in all areas of natural language dialogue systems.
Submission
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Authors of all papers are requested to submit PDF files of their manuscripts using the IWSDS 2025 paper submission system: https://softconf.com/p/iwsds2025/
Details on the paper submission categories and document templates can be found in: https://sites.google.com/view/iwsds2025/calls/papers
Important Dates
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Paper Submission: 
Paper Title, Author, and Abstract Submission: January 12th, 2025
Paper Submission: January 19th, 2025
Conference: May 27-30, 2025

Organisers: Prof. M. Inés Torres, Dr. Yuki Matsuda,  Prof. Zoraida Callejas, Dr. Arantza del Pozo, Dr. Luis Fernando D’Haro
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