ACM Multimedia Asia 2024 Workshop on Multimodal Foundation Models for Remote Sensing and Agriculture – CALL FOR PAPERS

September 19th, 2024 Daniela Lopez de Luise

ACM Multimedia Asia 2024 Workshop on Multimodal Foundation Models for Remote Sensing and Agriculture – CALL FOR PAPERS

Auckland, New Zealand, December 3, 2024

https://mfm-rsag.github.io/

Contact: mfmrsag@gmail.com

 

Dear Researchers,

 

We invite submissions to the Workshop on Multimodal Foundation Models for Remote Sensing and Agriculture (MFM-RsAg), which will be held in Auckland, New Zealand, on December 3, 2024.

This workshop focuses on exploring the potential of multimodal foundation models in analyzing remote sensing data to provide innovative solutions for agricultural tasks, such as weed management, yield prediction, and crop mapping. We welcome research contributions focusing on the following (but not limited to) topics on remote sensing data driven by multimodal foundation models (Hyperspectral, Multispectral, LiDAR, SAR, Thermal imaging, Optical imagery, Satellite imagery, UAV/aerial, Temporal data series, Depth data, Geospatial data,Radar data, etc.):

 

  • Foundation model and remote sensing data encoding
    • Representation learning
    • Self-supervised/Unsupervised learning
    • Transfer learning and fine-tuning
    • Sequential (spatial or temporal) encoding
    • Multi-modal/multi-temporal/multi-sensor/multi-resolution learning and fusion
  • Foundation model guided remote sensing understanding
    • Pattern recognition
    • Segmentation
    • Downscaling/super-resolution/image enhancement in spectral/spatial/temporal domains
    • Sequence understanding/temporal understanding
    • Change detection
    • Object detection and classification
    • Anomaly detection
  • Foundation model driven applications
    • Land cover and land use mapping
    • Environmental monitoring
    • Crop health assessment
    • Soil property assessment
    • Vegetation index calculation
    • Yield prediction
    • Climate change understanding and sustainable development
    • Weather forecasting
  • Public benchmark datasets in remote sensing and agriculture for foundation model construction

 

Submissions should adhere to the ACM Multimedia Asia 2024 formatting guidelines and will undergo a rigorous peer-review process. Accepted papers will be presented at the workshop and included in the workshop proceeding of the conference*. The template can be found via: ACM MM Asia Regular Paper Submission Guidelines: https://mmasia2024.org/call_for_regular.html

Page limits: each paper is 4-6 pages (not including references).

 

Papers have to be submitted via: 

https://cmt3.research.microsoft.com/MMAsia2024.

Click 'Create new submission' and select the track 'Workshop on Multimodal Foundation Models for Remote Sensing and Agriculture’.

 

*All accepted papers need to pay the register fees.

 

Important Dates

·        1 October 2024, 23:59: Paper Submission Due

·        12 October 2024, 23:59: Author Notification

·        15 October 2024, 23:59: Camera-Ready Version Submission Due

·        3 December 2024, 9:00 (NZDT): Workshop

 

A PDF version of the Call for Paper with the important dates can be found here:

https://mfm-rsag.github.io/poster_mmasiaworkshop.pdf

 

Thank you very much and we are looking forward to your participation in ACM Multimedia Asia 2024 Workshop on Multimodal Foundation Models for Remote Sensing and Agriculture!

 

Workshop Track Chairs

Kun Hu, Mingyang Ma, Patrick Filippi, Shaohui Mei, Fan Li, Zhiyong Wang, Thomas Bishop, Mingyi He

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Invitation to Participate in the IEEE 4th International Conference on Computing and Machine Intelligence (ICMI 2025)

September 19th, 2024 Daniela Lopez de Luise

Dear Researchers,

We are pleased to announce the 4th IEEE International Conference on Computing and Machine Intelligence (ICMI 2025), scheduled to be held at Central Michigan University, USA, on April 5-6, 2025. Following the success of the previous editions at Zaim University (2021), Istanbul Atlas University (2022), and Central Michigan University (2024), we are excited to host this prestigious event again. All accepted papers will be submitted for inclusion into IEEE Xplore.

                                                                     

Key Dates to Remember:

– Full Paper Submission: December 30, 2024

– Notification to Authors: February 20, 2025

– Early Registration: March 05, 2025

– Camera Ready: March 30, 2025

 

We would be honored to have your participation and encourage you to submit your valuable research work. For more details, please visit our conference website at www.icmiconf.com or contact us at info@icmiconf.com.

 

We look forward to your contribution to making ICMI 2025 a successful and engaging event.

 

Best regards, 

Technical Program Chair 

IEEE ICMI 2025 

www.icmiconf.com

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2nd Call for Papers | Special Issue: “Latest Research on Eye Tracking Applications” | Applied Sciences (IF: 2.5, ISSN 2076-3417)

September 19th, 2024 Daniela Lopez de Luise
Dear Colleagues,
This is the 2nd Call for Papers for the Special Issue “Latest Research on Eye Tracking Applications” in Applied Sciences (IF: 2.5, ISSN 2076-3417). This Special Issue belongs to the section “Computing and Artificial Intelligence”.
Special Issue Information:
Eye tracking constitutes a powerful technology which can be used for the examination of visual behavior and strategy during the observation of different types of (audio)visual stimuli presented either on a digital monitor, in the physical (real world) space, as well as in a virtual/augmented reality environment. At the same time, eye tracking has the potential to enhance the human–computer interaction experience by providing the ability to manipulate modern digital devices with human eyes. Nowadays, considering the huge amount of eye tracking applications available in various and different scientific/research and professional domains, gaze data collection, analysis, visualization, and modeling face several challenges. Such challenges mainly include the manipulation of big gaze data, the performance of remote (through the internet) experimentation, the semantic extraction of valuable knowledge from collected gaze data, gaze data synchronization during combined implementation with other experimental techniques, and real-time and/or post-experimental data collection using low-cost solutions (including webcams).
This Special Issue aims to collect high-quality original research papers, review studies, and short communications in any field connected to eye tracking research and technology. There is no restriction on the length of the submitted manuscripts. New techniques, methods, procedures, experimental frameworks, and applications related to eye tracking technology and analysis are welcome. Moreover, authors are encouraged to share innovative and open source software (e.g., a toolbox) for gaze data recording, processing, analysis, and/or visualization, as well as open access and well-documented eye tracking datasets acquired over diverse or original types of visual stimuli or conditions.
More specifically, potential topics include, but are not limited to, the following:
– Research on eye tracking hardware development
– Low-cost eye tracking solutions
– Event detection algorithms in eye tracking data
– Gaze data analysis and visualization software
– Eye tracking in laboratory, real world, and web environment
– Human–computer interaction applications
– Gaze datasets
– Eye tracking studies and applications in different research domains
We welcome comprehensive and systematic literature reviews on any of the aforementioned topics.
Keywords: eye tracking; eye movements; eye movement events detection; gaze data analysis; gaze data modeling;gaze data visualization; eye tracking hardware; eye tracking datasets; eye tracking data toolboxes; gaze interaction; webcam eye tracking; low-cost eye tracking
Published articles:
[1] Wang, Z.; Shen, M.; Huang, Y. Combining Eye-Tracking Technology and Subjective Evaluation to Determine Building Facade Color Combinations and Visual Quality. Appl. Sci. 2024, 14, 8227. https://doi.org/10.3390/app14188227
[2] Milošević, M.; Kovačević, D.; Brozović, M. The Influence of Monochromatic Illustrations on the Attention to Public Health Messages: An Eye-Tracking Study. Appl. Sci. 2024, 14, 6003. https://doi.org/10.3390/app14146003
Deadline for manuscript submissions: 6 December 2024
For more information about the submission process and the article processing charges, please visit the website of the Special Issue:
Please do not hesitate to contact us in order to express your interest and/or if you have any questions.
We look forward to your contributions.
Kind regards,
Dr. Vassilios Krassanakis 
Department of Surveying and Geoinformatics Engineering, School of Engineering, University of West Attica, Greece
Dr. Erwan David
Computer Science Laboratory (LIUM), Le Mans University, Le Mans, France
Dr. Olivier Le Meur 
InterDigital R&D, Rennes, France
Guest Editors

                                

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International Data Science and Statistics Congress IDSSC 2024

September 19th, 2024 Daniela Lopez de Luise

 

Dear Scientists;

Turkish Statistical Association (TİD), as an organization that works to ensure the correct use and understanding of Statistical Science at all levels of society, being an important branch of science which is included in the application areas in all branches of science and is an active part of decision processes, has been organizing International Statistical Congresses (İSTKON) for a quarter of a century. The 12th of these important congresses, will be organized under the name “International Data Science and Statistics Congress IDSSC 2024” with the main theme of “Artificial Intelligence”, being the current concept of our age.

IDSSC 2024 is an event open to all fields interested in data analysis. The congress will cover all conceivable fields dealing with data analysis, from engineering to art, from economics to sociology, from statistics to health, from education to psychology. It offers a unique platform for leading international and domestic experts, statisticians, data scientists and artificial intelligence developers in government agencies, private sector, industry and academia, to exchange ideas and explore collaboration opportunities. Additionally, this event will provide an environment where entry-level statisticians, data analysts and students will have the opportunity to learn and interact with the experienced members of the profession.

Our congress will be covering topics such as ‘Innovations in the Fields of Data Science and Statistics’, ‘Future Vision and Artificial Intelligence’, ‘Data Management’, ‘Data Analytics’, ‘Business Strategies', ‘Machine Learning’, along with applications such as the ‘Use of Personal Data and Problems’, ‘Data Governance and Privacy’.

CONGRESS SCOPE

Keynotes: Speakers, experts and thought leaders in the field, discuss current trends in data science, challenges, future developments and artificial intelligence.

Academic and Technical Sessions: Academic and technical aspects of data science are covered, under topics such as artificial intelligence, data analysis techniques, statistical methods and the use of data science.

Panel Sessions: Experts discuss hot topics, current challenges, and the future direction of data science and artificial intelligence.

Case Studies/Hands-on Workshops: Hands-on sessions present real-world applications of data science, success stories, and how organizations leverage data to achieve business goals.

Workshops and Training: Provide participants with practical skills and tools. These sessions cover specific software tools, programming languages, or data science methodologies.

B2B Event: A meeting point for startups and firms looking for investors. Industry professionals and investors come together for service and product presentations and investment opportunities.

Exhibitions: Feature data science and analytics-related products and services from technology companies and service providers.

The synergy created with this important event, will provide a suitable environment for a better understanding and more widespread and accurate use of ‘Statistics’, ‘Data Science’ and ‘Artificial Intelligence’ in our country.

We will be very pleased to meet with you at our IDSSC 2024 Congress which will be held in Ankara Sheraton Hotel and Convention Center between 15 and 17 October.

More information;

https://www.vebist.net

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Image and Vision Computing, Special Issue on “Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision”

September 19th, 2024 Daniela Lopez de Luise
========================================
*** Call for Papers –  Image and Vision Computing***

Special issue on Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision

*PAPER SUBMISSION DEADLINE: Feb 7, 2025*
========================================


= OVERVIEW =

The rapid advancement of deep learning presents significant challenges, particularly in the realm of ethical data collection and usage. As regulations like the General Data Protection Regulation (GDPR) gain prominence, the need for rigorous ethical standards across various fields becomes increasingly apparent. In domains such as biometrics, data has frequently been collected without appropriate consent or ethical consideration. The medical field, in particular, grapples with the dual challenges of safeguarding privacy and the inherent difficulties of data acquisition.

Ensuring continued progress in deep learning requires that data collection and generation practices adhere to strict ethical guidelines. Greater control over data is essential to enhancing transparency and fairness within deep learning methodologies. Attention must also be given to the explainability of systems trained on generated data, as well as the fairness implications of using synthetic datasets. Addressing these challenges is critical to fostering more ethical and responsible advancements in deep learning.


= SPECIAL ISSUE TOPICS =

The Special Issue aims to promote research on the use of Explainable AI and Synthetic Data to enhance transparency and privacy in Biometrics and Computer Vision.  Topics include, but are certainly not limited to:
  • Responsible image synthesis
  • Generative models
  • Assessing and comparing AI explanations
  • Researching causal learning and inference
  • Synthetic medical data with clinical information
  • Innovative synthesis of biometric data
  • Generating natural language for explanations
  • AI transparency and fairness
  • Learning from synthetic data
  • Interpreting biometric models and vulnerabilities
  • Fairness enhancement with synthetic data

= IMPORTANT DATES =
Submission dates:

Submission Open Date: Oct 1, 2024
Final Manuscript Submission Deadline: Feb 7, 2025
Editorial Acceptance Deadline: Apr 7, 2025
= GUEST EDITORS =

Lucia Cascone – University of Salerno, Italy (lcascone@unisa.it)
Zilong Huang – TikTok, Singapore (zilonghuang2020@gmail.com)
Pedro C. Neto – Unilabs & FEUP (pedro.d.carneiro@inesctec.pt)
Ana F. Sequeira – INESC TEC (ana.f.sequeira@inesctec.pt)
= SUBMISSION AND REVIEW DETAILS =

Manuscript submission information:

The Journal's submission system (Editorial Manager) will be open for submissions to our Special Issue from Oct 1st, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: XAISynData” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors – Image and Vision Computing – ISSN 0262-8856 (elsevier.com). 

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