3 citations · 5 across the 4 of their papers we have counts for
5 papers
AquaMonitor: A multimodal multi-view image sequence dataset for real-life aquatic invertebrate biodiversity monitoring
Mikko Impiö, Philipp M. Rehsen, Tiina Laamanen +3
This paper presents the AquaMonitor dataset, the first large computer vision dataset of aquatic invertebrates collected during routine environmental monitoring. While several large…
Efficient Curation of Invertebrate Image Datasets Using Feature Embeddings and Automatic Size Comparison
Mikko Impiö, Philipp M. Rehsen, Jenni Raitoharju
The amount of image datasets collected for environmental monitoring purposes has increased in the past years as computer vision assisted methods have gained interest. Computer visi…
Improving Taxonomic Image-based Out-of-distribution Detection With DNA Barcodes
Mikko Impiö, Jenni Raitoharju
Image-based species identification could help scaling biodiversity monitoring to a global scale. Many challenges still need to be solved in order to implement these systems in real…
Habitat classification from satellite observations with sparse annotations
Mikko Impiö, Pekka Härmä, Anna Tammilehto +2
Remote sensing benefits habitat conservation by making monitoring of large areas easier compared to field surveying especially if the remote sensed data can be automatically analyz…
Multi-level reversible encryption for ECG signals using compressive sensing
Mikko Impiö, Mehmet Yamaç, Jenni Raitoharju
Privacy concerns in healthcare have gained interest recently via GDPR, with a rising need for privacy-preserving data collection methods that keep personal information hidden in ot…