CALL FOR PAPERS | MIGARS 2025 | Technically Co-Sponsored by IEEE GRSS | 2-4 September 2025| Bucharest, Romania

MIGARS 2025

 

International Conference on Machine Intelligence for

 

GeoAnalytics and Remote Sensing 

 

Call for Papers

 

September 2 – 4, 2025 | POLITEHNICA Bucharest, Romania 

https://migars.upb.ro

 

Technically Co-Sponsored by IEEE GRSS 

 

 

MIGARS 2025 organizing committee warmly invites you to join the third edition of the Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) conference at POLITEHNICA Bucharest, Romania, from 2 to 4 September 2025.  

 

MIGARS 2025 explores the powerful intersection of machine intelligence, spatial analytics, and remote sensing technologies. With the tremendous advancements in data acquisition and sensing platforms, data streams in remote sensing have become too large in volume, variety, and veracity. The challenge is handling, processing, automating, and transforming complex geo-data from various sources, such as multi-platform sensors and Internet-of-Things devices, into clear, actionable insights for decision-making and monitoring our planet.

 

At its heart, MIGARS is committed to fostering collaboration and exploring the potential use of intelligent computational approaches for geo-data-based solutions that serve society at large. Its third edition will bring together researchers, experts, and practitioners across various disciplines, including artificial intelligence, remote sensing, geosciences, climate change and environmental research, and many more, dedicated to advancing geospatial technologies and their applications.

 

Prospective authors are invited to submit the manuscripts of their research work using the following link: 

 

https://easychair.org/conferences?conf=migars2025

 

The papers are invited in the following topics (but not limited to):

Multispectral & hyperspectral remote sensing, Microwave remote sensing, LiDAR remote sensing, UAV-based remote sensing, Mission, Sensors, and Calibration, Big data applications for geosciences, Geospatial data analytics, Statistical machine learning, Deep learning, Expert systems, Computational intelligence, Evolutionary computing, Climate informatics, Data analysis and spatial data visualization, Temporal data analysis, prediction, time series analysis, Uncertainty quantification in geoscience and remote sensing, Monitoring and damage assessment of natural disasters and hazards, Applications for early warning, environmental monitoring and climate change, Applications for land, biodiversity and soil science, Applications for forestry and agriculture, Applications for water management, sea, oceans and atmosphere

 

Important Dates:

Paper Submission open: Feb 20, 2025 

Paper Submission Deadline: April 15, 2025 

Notification of Acceptance: May 25, 2025   

 

Publication & Indexing: All the accepted and presented papers will be published in the proceedings of IEEE and will be uploaded to IEEE Xplore. Authors of outstanding papers will be invited to submit extended versions to Special Issues to appear in IEEE GRSS journals.

 

For the latest updates, and paper submission instructions kindly visit: https://migars.upb.ro

 

Looking forward to welcoming you to Bucharest, Romania's capital – a cultural destination, economic hub, and fascinating architectural landscape where rich history and traditional flavors meet modern dynamism.

 

With Warm Regards, 

MIGARS 2025 Organizing Committee

CAIP 2025 – CALL FOR PAPERS

CAIP 2025 is the 21st in the CAIP series of biennial international
conferences devoted to all aspects of  computer vision, image analysis
and processing, pattern recognition, and related fields. CAIP 2025
invites researchers, practitioners, and industry professionals to submit
original contributions addressing the latest advancements, challenges,
and future directions in the fields of image processing,
pattern recognition, and related areas. The scientific program of the
conference will include keynotes and contributed papers in a single
track. CAIP 2025 will also feature workshops, contests, and tutorials
before the main event.

FIELDS OF INTEREST
The conference invites novel contributions to the automatic analysis of
images and patterns, encompassing both new challenging application areas
and substantial new theoretical developments in the field.

• 3D Vision
• Biometrics
• Computer vision (CV) & creative computing
• Document analysis
• Explainable AI for CV
• Feature extraction
• Graph-based methods
• Human pose estimation
• Image restoration
• Keypoint detection
• Mobile multimedia
• Motion and tracking
• Segmentation
• Shape representation and analysis
• Biomedical image and pattern analysis
• Brain-inspired methods
• Deep Learning
• Egocentric Vision
• Face and gestures
• Generative AI for visual content
• High-dimensional topology methods
• Image and video forensics
• Image/video indexing & retrieval
• ML for image and pattern analysis
• Model-based vision
• Object recognition
• Self and Semi-supervised learning for CV
• Vision for robotics / drones / UAVs

IMPORTANT DATES
Paper Submission: 10 April 2025
Author notification: 10 June 2025
Camera-ready paper due: 20 June 2025
Conference dates: 22 – 25 September 2025

Submissions to CAIP 2025 should have no substantial overlap with any
other paper already submitted or published, or to be submitted during
the CAIP 2025 review period. All authors should be aware that
the paper is submitted to CAIP 2025. The proceedings of the conference
will be published in the Springer Verlag’s series Lecture Notes in
Computer Science (LNCS), therefore we strongly encourage prospective
authors to respect the submission guidelines.

Visit https://caip2025.com for additional information.

Second MetaFood Workshop at CVPR 2025 (Deadline Extension)

Dear Community,

We are pleased to announce the call for papers for “The Second MetaFood Workshop” at CVPR 2025.

============================
The MetaFood Workshop is a premier venue for research that addresses the pressing challenges of applying state-of-the-art computer vision algorithms to food-related data. While modern computer vision models excel on well-curated datasets, they struggle when confronted with food data in natural, uncontrolled environments—often called “data in the wild”. This difficulty arises from the inherent complexities of food imagery, such as noisy, watermarked, and low-resolution data commonly found online.

The MetaFood Workshop aims to bridge this gap by showcasing groundbreaking research and fostering discussions on innovative methods for analyzing and digitizing food data. We invite the computer vision community to tackle these challenges and contribute solutions that can drive forward the fields of food computing and AI-driven food analysis.

Our program will feature technical paper presentations and invited talks from leading experts. 

============================
Topics of interest include, but are not limited to:
  •     Multi-modal food data analysis covering images, video, audio, structured and/or unstructured text data
  •     Reasoning, in-context learning, and retrieval-augmented generation with Large-Language Models (LLMs)/ Vision-Language Models (VLMs) for food
  •     Food ontologies and LLM-based models for food data analysis
  •     Visual question answering with VLMs for food
  •     Food data analysis and uncertainty modeling
  •     Learning with noisy food labels
  •     Continual, self-supervised, semi-supervised, and unsupervised learning for food
  •     Food classification/detection/segmentation with 2D/3D bias
  •     Food 3D model reconstruction, Novel View Synthesis for food objects
  •     Food portion/nutrition value estimation
  •     Food manipulation understanding, robotic perception systems for food manipulation
  •     Food image quality analysis/inspection
  •     Food image/video generation and Generative AI
  •     Food video analysis and action (eating, cooking, etc.) recognition
  •     Fine-grained dietary monitoring and nutrition assessment
We welcome original research that presents novel applications, innovative algorithms, or critical analyses addressing these challenges. Submissions focusing exclusively on algorithm development without application to food data are better suited for the main CVPR conference.

Join us at the MetaFood Workshop to explore how computer vision can revolutionize food understanding and contribute to solving real-world challenges in food computing.
============================

Important Dates:

  •     Paper submission deadline: 14th March 2025 (11:59 pm AOE)
  •     Supplementary material deadline: 16th March 2025 (11:59 pm AOE)
  •     Notification to authors: 1st April 2025
  •     Camera-ready deadline: 7th April 2025 (11:59 pm AOE)

Website: https://sites.google.com/view/cvpr-metafood-2025/

We look forward to your contributions.

Regards,
Second MetaFood Workshop – Organizing Team

Call for Competition on text line segmentation: FEST @ ICDAR 2025

 

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

CALL FOR COMPETITION: FEST @ ICDAR 2025

Competition on few-shot text line segmentation

https://ai4ch.uniud.it/FESTcompICDAR25/

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

 

We are glad to announce FEST: Competition on FEw-Shot Text line segmentation of ancient handwritten documents (FEST), in conjunction with the 19th International Conference on Document Analysis and Recognition ICDAR 2025.

 

Competition Overview:

Text line segmentation is a crucial component of Document Image Analysis, particularly for ancient handwritten documents. It directly influences subsequent tasks like optical character recognition, layout analysis, and information extraction.

This competition challenges participants to develop systems capable of segmenting text lines using only three annotated images per manuscript for training. The dataset features a diverse collection of ancient manuscripts with varying layouts, levels of degradation, and non-standard formatting, reflecting real-world complexities. By focusing on few-shot learning, this competition aims to encourage the development of methods that can be readily applied by humanities scholars without the need for extensive manual annotation, fostering broader adoption of automated document analysis tools.

 

Competition Tasks:

We challenge the participants to perform the task of textline segmentation on the proposed dataset, U-DIADS-TL, in a few-shot setting, providing only three images, with their corresponding ground truths, as the training set for each of the three manuscripts comprising it.

 

Important Dates:

·        Registration Open: 10 December, 2024

·        Test set release to participants: 7 April, 2025

·        Deadline of the Competition: 20 April, 2025

·        Winner announcement: 30 June, 2025

 

 

For any additional information, please visit the website: https://ai4ch.uniud.it/FESTcompICDAR25/

 

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¡Saludos!

Mauricio Etcheverry y el equipo de YoReparo.com

El equipo de YoReparo.com


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