En el marco de las jornadas de Ciencia, Tecnología y Posgrado invitamos a toda la comunidad UTN a participar del ciclo de charlas organizadas por el Depto.De Ingeniería en Sistemas de Información. Las mismas son abiertas, gratuitas y sin inscripción previa. 

Se adjunta el cronograma. 

Los esperamos!

Cordialmente, Patricia  

The 13th International Conference on Intelligent Control and Information Processing (ICICIP2025) will be held in Muscat, Oman, February 6-11, 2025, following the successes of previous events. As the capital of Oman, Muscat is Oman's largest city with a population of over four million people and numerous tourist attractions. ICICIP2025 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world-renowned scholars, regular sessions with broad coverage, special sessions focusing on popular topics, and post-conference workshops/tutorials in the region.

Prospective authors are invited to contribute high-quality papers to ICICIP2025. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICICIP2025. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers.

Authors are invited to submit either an abstract only or full-length papers (8 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. All accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. Selected high-quality papers will be included in several journal special issues.

The abstract or paper submission system is now open. 

Submission link: https://openreview.net/group?id=IEEE.org/ICICIP/2025/Conference&referrer=%5BHomepage%5D(%2F)#tab-your-consoles 

Abstract Only or Paper Submission Deadline: November 1, 2024

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