[CFP] Workshop on Machine Vision for Earth Observation and Environment Monitoring @ BMVC2024
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Keiller Nogueira
Jul 2, 2024, 2:10:13 AM (2 days ago) Jul 2
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2nd Workshop on Machine Vision for Earth Observation and Environment Monitoring
in conjunction with the British Machine Vision Conference (BMVC) 2024
Glasgow, Scotland, UK
https://mveo.github.io/
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IMPORTANT DATES
Paper submission deadline: Friday, 16 August 2024
Notification of Acceptance: Monday, 9 September 2024
Camera-ready Paper Due: Monday, 16 September 2024
Workshop: Thursday, 28 November 2024
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Following the success of the previous edition held in 2023, the Workshop on Machine Vision for Earth Observation and Environment Monitoring (MVEO) is back. MVEO aims to foster collaboration and idea exchange among the Computer Vision, Remote Sensing and Environmental Monitoring communities, both nationally and internationally, promoting interdisciplinary research, encouraging innovative computer vision approaches for automated interpretation of Earth observation and other correlated data, and enhancing knowledge within the vision community for this rapidly evolving and highly impactful area of research.
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TOPICS include but are not limited to:
- Methods: Data-centric machine learning; remote sensing data + language processing (such as Large Language Models) models; open-set, open-world, and open long-tailed recognition; multi-resolution, multi-temporal, multi-sensor, multi-modal approaches; generative models (GANs, stable diffusion, etc); self-, weakly, semi-, and unsupervised approaches; human-in-the-loop and active learning; etc.
- Tasks: Classification; object detection; segmentation (universal, semantic, panoptic, and/or instance); data augmentation and improvement; deep fake; domain adaptation and concept drift; super-resolution; explainability and interpretability; multi and hyperspectral, optical and radar image processing; and so on.
- Applications: Disaster relief; urban planning; sustainable and intelligent agriculture; coast, sea, and marine monitoring; pollution monitoring and air/water quality analysis; circular economy; Cultural Heritage documentation and preservation; climate change; sustainable development goals; geoscience; phenological studies; and so on.
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ORGANIZERS
Keiller Nogueira, University of Stirling, UK
Jan Boehm, University College London, UK
Ronny Hänsch, German Aerospace Center (DLR), Germany
Chunbo Luo, University of Exeter, UK
Diego Marcos, Junior Professor, Inria, Universite de Montpellier, France
Paolo Russo, Assistant Professor, Sapienza University of Rome, Italy
Fabiana Di Ciaccio, Assistant Professor, University of Florence, Italy
Ahmed Emam, PhD researcher, University of Bonn, Germany
2nd Workshop on Machine Vision for Earth Observation and Environment Monitoring
in conjunction with the British Machine Vision Conference (BMVC) 2024
Glasgow, Scotland, UK
https://mveo.github.io/
****************************************************************
IMPORTANT DATES
Paper submission deadline: Friday, 16 August 2024
Notification of Acceptance: Monday, 9 September 2024
Camera-ready Paper Due: Monday, 16 September 2024
Workshop: Thursday, 28 November 2024
****************************************************************
Following the success of the previous edition held in 2023, the Workshop on Machine Vision for Earth Observation and Environment Monitoring (MVEO) is back. MVEO aims to foster collaboration and idea exchange among the Computer Vision, Remote Sensing and Environmental Monitoring communities, both nationally and internationally, promoting interdisciplinary research, encouraging innovative computer vision approaches for automated interpretation of Earth observation and other correlated data, and enhancing knowledge within the vision community for this rapidly evolving and highly impactful area of research.
****************************************************************
TOPICS include but are not limited to:
- Methods: Data-centric machine learning; remote sensing data + language processing (such as Large Language Models) models; open-set, open-world, and open long-tailed recognition; multi-resolution, multi-temporal, multi-sensor, multi-modal approaches; generative models (GANs, stable diffusion, etc); self-, weakly, semi-, and unsupervised approaches; human-in-the-loop and active learning; etc.
- Tasks: Classification; object detection; segmentation (universal, semantic, panoptic, and/or instance); data augmentation and improvement; deep fake; domain adaptation and concept drift; super-resolution; explainability and interpretability; multi and hyperspectral, optical and radar image processing; and so on.
- Applications: Disaster relief; urban planning; sustainable and intelligent agriculture; coast, sea, and marine monitoring; pollution monitoring and air/water quality analysis; circular economy; Cultural Heritage documentation and preservation; climate change; sustainable development goals; geoscience; phenological studies; and so on.
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ORGANIZERS
Keiller Nogueira, University of Stirling, UK
Jan Boehm, University College London, UK
Ronny Hänsch, German Aerospace Center (DLR), Germany
Chunbo Luo, University of Exeter, UK
Diego Marcos, Junior Professor, Inria, Universite de Montpellier, France
Paolo Russo, Assistant Professor, Sapienza University of Rome, Italy
Fabiana Di Ciaccio, Assistant Professor, University of Florence, Italy
Ahmed Emam, PhD researcher, University of Bonn, Germany
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