Research
Find research shared by the Owlstown community.
Co-Develop-IT (05.2025 - present)
Collaborators:
Lotte Hardeman, Dr. Andreas Wallin, Prof. Dr. David Moulaee Conradsson, Prof. Dr. Breiffni Leavy, Prof. Dr. Franziska Albrecht, Prof. Dr. Melvyn Roerdink, Prof. Dr. Eling D. de Bruin, Prof. Dr. Jean-Jacques Temprado, Prof. Dr. Er...
Project · October 31, 2025
ParkMOVE (05.2024 - present)
Overview:
The ParkMOVE project is a large multidisciplinary project led by Prof. Dr. Erika Franzén at the Karolinska Institutet with the ultimate aim to reduce the disease burden and, particularly, the risk of falls as well as increase health-r...
Project · October 31, 2025
Spatial redistribution of a globally constant marine biological carbon pump
Publication · October 31, 2025
Democracy Manifest or Democracy Latent? A Unified Framework for Identifying Regime Types and Transitions
Regime types and transitions are central to a wide range of political phenomena. Reflecting this importance, prior research has produced a variety of regime measures. This diversity, however, comes with important challenges for applied research: s...
Publication · October 31, 2025
LCCDMamba: Visual State Space Model for Land Cover Change Detection of VHR Remote Sensing Images
Abstract: Land cover change detection (LCCD) is a crucial research topic for rational planning of land use and facilitation of sustainable land resource growth. However, due to the complexity of LCCD tasks, integrating global and local features an...
Publication · October 31, 2025
SAM-Based Efficient Feature Integration Network for Remote Sensing Change Detection: A Case Study on Macao Sea Reclamation
Abstract: Sea reclamation expands land resources along coastal areas and supports sustainable urban growth. Sea reclamation monitoring is a significant application of remote sensing change detection (RSCD). Segment anything model (SAM) supports ze...
Publication · October 31, 2025
F3Net: Feature Filtering Fusing Network for Change Detection of Remote Sensing Images
Abstract: Change Detection of remote sensing images is an essential method for observing changes on the Earth's surface. Deep learning can efficiently process remote sensing images. However, shallow features in remote sensing data from differen...
Publication · October 31, 2025
Large kernel convolution application for land cover change detection of remote sensing images
Abstract: In land cover change detection tasks, extracting universal features of changing targets is crucial for achieving precise detection results. A larger receptive field helps the model capture these universal features of changing targets....
Publication · October 31, 2025
MSFGNet: Multi-Scale Features Gathering Network for Change Detection of Remote Sensing Images
Abstract: Change detection is an important research area in remote sensing. To achieve accurate results, it is essential to extract multi-scale spatial information from images while filtering out noise. However, existing models lack this capabi...
Publication · October 31, 2025
TransHFC: Joints Hypergraph Filtering Convolution and Transformer Framework for Temporal Forgery Localization
Abstract: The authenticity of audio-visual content is being challenged by advanced multimedia editing technologies inspired by Artificial Intelligence-Generated Content (AIGC). Temporal forgery localization aims to detect suspicious contents by lo...
Publication · October 31, 2025
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