Multimodal Foundation Models for Remote Sensing and Agriculture Call for Papers

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:
hhttps://mmasia2024.org/call_for_regular.html
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