Call for Paper – Perception Beyond the Visible Spectrum

January 21st, 2025 Daniela Lopez de Luise
Dear colleagues,
The 21st IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS) will be held in conjunction with the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) in June, 2025.
The website is already online:
Please find the official Call For Papers attached to this email and feel free to share it with your colleagues. We’re looking forward to your submission and/or participation.
Best regards,
PBVS Committee

Wassim El Ahmar, Ph.D.,  P.Eng.

Professor – Long Term Appointment

School of Electrical Engineering and Computer Science

800 King Edward, SITE 4063, Ottawa, Ontario, Canada

Université d'Ottawa | University of Ottawa

pdf icon CfP_PBVS.pdf
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CBMI 2025 – Call for Special Session Proposals and Papers

January 21st, 2025 Daniela Lopez de Luise

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21st International Conference on Content-based Multimedia Indexing, CBMI 2025 Dublin, Ireland, October 22-24, 2025

https://www.cbmi2025.org/

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Important Dates

Regular and Special Session Papers

  • Paper deadline: April 23, 2025 (AoE)

  • Paper notification: July 1, 2025 (AoE)

  • Camera-ready and registration due: August 1, 2025 (AoE)

Demonstration Papers

  • Paper deadline: June 1, 2025 (AoE)

  • Paper notification: July 1, 2025 (AoE)

  • Camera-ready due: August 1, 2025 (AoE)

Special Session Proposals

  • Special Session proposal deadline: February 10, 2025 (AoE)

Call for Special Sessions Proposals

CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. At this time we invite you to propose special sessions for CBMI 2025. Special sessions are dedicated conference sessions, each focusing on one state-of-the-art research direction within the content-based multimedia indexing field. Special session papers, which can be invited or submitted, will supplement the regular research papers and be included in the proceedings of CBMI 2025. All special session papers will be subject to the standard rigorous review process for CBMI.

Special session proposals must be submitted by email to the special session chairs (submissions@cbmi2025.org) using subject “CBMI 2025 Special Session Proposal” by 10 February 2025. Proposals will be evaluated based on the relevance to CBMI, qualifications of the organiser(s), and the quality and community interest of the topic/proposed potential papers. Required details for proposals are described below.

Usually, each special session should consist of four to six full-papers. In order to ensure the high quality of all conference papers, all papers submitted to special sessions at CBMI 2025 will be peer-reviewed through a standard review process. If a special session has many high-quality submissions, some of the submissions may potentially be moved to some regular sessions. 

The review process will be coordinated with the regular technical program review process, as coordinated by the TPC chairs. The organisers of each special session must 2 reviews per submitted/invited paper, while the regular program committee will provide 1-2 additional reviews. Final decision on acceptance/rejection will be made in collaboration between the special session chairs and the CBMI 2025 TPC chairs.

Please include the following information in your proposal:

  • Title of the proposed special session.

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

  • 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 website to advertise the session.

  • List of potential papers if available, including for each paper: tentative title, author list, and preferably a short abstract.

  • Proposal for arrangement of the reviews from session organizers (e.g., list of members of mini-PC for the special session).

  • Description of the session format (e.g., conventional technical talks, short talks & panel discussion, etc..).

Call for Regular Papers

CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics. 

The organisers of CBMI 2025 call for novel and original research papers that are addressing the various topics of interest related to the conference. We encourage contributions both on theoretical aspects and applications of CBMI in the new era of Artificial Intelligence and foundation/language-backed-backed models for multimedia for multimedia. Authors are invited to submit previously unpublished research papers highlighting significant contributions addressing these topics.

Authors can submit full papers (6 pages + references) or short papers (4 pages + references).

Submissions to CBMI are peer reviewed in a double blind process and the language of the conference is English. For full details on the submission process see the submission guidelines.

Authors of high-quality papers accepted to the conference may be invited to submit extended versions of their contributions to a special journal issue.

Call for Demonstrations

CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics.  We invite authors to report on novel and compelling demonstrations in all topic areas of CBMI. Demonstration papers are subject to peer review according to criteria such as novelty, interestingness, applications of or enhancements to state-of-the-art, and potential impact.

The length of the papers should be up to 4 pages. An additional 1-2 pages should be appended to the paper that illustrate how the demo will be conducted on-site at CBMI 2025. This additional content will not be published in the conference proceedings, should the submission be accepted. Including a link to a video showing the demo in action is highly encouraged. The submissions are peer-reviewed in a single-blind process. For full details on the submission process see the submission guidelines.

Presenters are expected to bring the necessary equipment (computers, etc.) themselves. The conference will provide a table, power outlet, screen, wireless (shared) internet and a poster board. If you have special needs (e.g., more space), please include a related note in your demo submission.

Topics of Interest

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

Multimedia Content Analysis and Indexing:

  • Media content analysis and mining

  • AI/ML approaches for content understanding

  • Multimodal and cross-modal indexing

  • Activity recognition and event-based multimedia indexing and retrieval 

  • Multimedia information retrieval (image, audio, video, text)

  • Conversational search and question-answering systems

  • Multimedia recommendation

  • Multimodal analytics, summarization, visualization, organization and browsing of multimedia content

  • Multimedia verification (e.g., multimodal fact-checking, deep fake analysis)

  • Foundation models, large multimedia models, large language models and vision language models

  • Explainability in multimedia learning

  • Large scale multimedia database management

  • Evaluation and benchmarking of multimedia retrieval systems

Multimedia User Experiences:

  • Extended reality (AR/VR/MR) interfaces

  • Mobile interfaces and user interaction

  • Presentation and visualization tools

  • Affective adaptation and personalization

  • Relevance feedback and interactive learning

Applications of Multimedia Indexing and Retrieval:

  • Multimedia and sustainability

  • Healthcare and medical applications

  • Cultural heritage and entertainment applications

  • Educational and social applications

  • Egocentric, wearable and personal multimedia

  • Applications to forensics, surveillance and security

  • Environmental and urban multimedia applications

  • Earth observation and astrophysics

  • Physical and industrial processes

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CfP – EarthVision at CVPR 2025 – Large Scale Computer Vision for Remote Sensing Imagery

January 21st, 2025 Daniela Lopez de Luise
Call for Paper: EarthVision at CVPR 2025 – Large Scale Computer Vision for Remote Sensing Imagery
June 11/12th, Nashville, TN, USA
Accepted papers will be published in the CVPR Workshop Proceedings.
Earth Observation (EO) and remote sensing are ever-growing fields of investigation where computer vision, machine learning, and signal/image processing meet. The general objective of the domain is to provide large-scale and consistent information about processes occurring at the surface of the Earth by exploiting data collected by airborne and spaceborne sensors. Earth Observation covers a broad range of tasks, from detection to registration, data mining, and multi-sensor, multi-resolution, multi-temporal, and multi-modality fusion and regression, to name just a few. It is motivated by numerous  applications such as location-based services, online mapping services, large-scale surveillance, 3D urban modeling, navigation systems, natural hazard forecast and response, climate change monitoring, virtual habitat modeling, food security, etc. The sheer amount of data calls for highly automated scene interpretation workflows.

The full-day workshop will provide a forum for presenting original research in computer vision and pattern recognition applied to large-scale remote sensing imagery. The focus will be on recent advancements in automatic analysis of remote sensing imagery for Earth Observation and its impact on geoscience, climate change, sustainable development goals, and the general understanding of the Earth system. A non-exhaustive list of topics of interest includes the following:

– Super-resolution in the spectral and spatial domain
– Hyperspectral and multispectral image processing
– Reconstruction and segmentation of optical and LiDAR 3D point clouds
– Feature extraction and learning from spatiotemporal data
– Analysis  of UAV / aerial and satellite images and videos
– Deep learning tailored for large-scale Earth Observation
– Domain adaptation, concept drift, and the detection of out-of-distribution data
– Data-centric machine learning
– Evaluating models using unlabeled data
– Self-, weakly, and unsupervised approaches for learning with spatial data
– Foundation models and representation learning in the context of EO
– Human-in-the-loop and active learning
– Multi-resolution, multi-temporal, multi-sensor, multi-modal processing
– Fusion of machine learning and physical models
– Explainable and interpretable machine learning in Earth Observation applications
– Uncertainty quantification of machine-learning based prediction from EO data
– Applications for climate change, sustainable development goals, and geoscience
– Public benchmark datasets: training data standards, testing & evaluation metrics, as well as open-source research and development.

Important Dates
– Submission deadline: March 3, 2025
– Notification to authors: March 31,  2025 
– Camera-ready deadline: April 7, 2025 
– Workshop: June 11/12, 2025
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Paper Invitation for the Special Session: Decision Support Systems in Emerging Technologies: Methods and Applications (IEEE, EEITE 2025, Crete)

January 21st, 2025 Daniela Lopez de Luise
Dear Colleague,
I am pleased to inform you that I co-organize the Special Session 7 titled “Decision Support Systems in Emerging Technologies: Methods and Applications” of the 6th IEEE International Conference in Electronic Engineering & Information Technology.
In light of this, I invite you to contribute a research article for consideration in this Special Session and join us at Chania, Crete, on 4 – 6 June 2025.
For more information about the Special Issue, please check through the following link:
Important dates:
Paper submission deadline:  February 9, 2025 (provisional)
Notification of acceptance:   March 30, 2025
Camera-ready submission:   May 4, 2025
Your expertise and contributions would greatly enhance the quality and depth of our Special Session.
Should you have any questions please do not hesitate to reach out to me.
Kind regards,
Dr. Georgia Dede
Prof. Dr. Thomas Kamalakis
Prof. Dr. Christos Diou
Organizing Committee 
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Special Session at IJCNN, “Digital Twinning in Smart Applications”

January 21st, 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  January 30, 2025 

About The Special Session
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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
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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
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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
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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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