activity
20162025
most citedCollaborative Multi-Robot Systems for Search and Rescue: Coordination and Perception

29 citations · 69 across the 10 of their papers we have counts for

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16 papers · 1 filter

cs.CV2026

MS-RFD: Multi-Signal Release Frame Detection in Hammer Throw from Reconstructed 3D Trajectories

Ahmed Endris Hasen, Nikolaos Passalis, Tomi Vanttinen +1

Recent advances in artificial intelligence and computer vision are reshaping sports performance analysis by enabling automated detection, tracking, and performance analysis. In ham…

cs.CV20251 cited

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…

cs.CV20241 cited

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…

cs.CV20243 cited

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…

cs.CV202212 cited

1st Workshop on Maritime Computer Vision (MaCVi) 2023: Challenge Results

Benjamin Kiefer, Matej Kristan, Janez Perš +70

The 1 Workshop on Maritime Computer Vision (MaCVi) 2023 focused on maritime computer vision for Unmanned Aerial Vehicles (UAV) and Unmanned Surface Vehicle (USV), and…

cs.CV2022

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…