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20202026
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cs.CV2026

Beyond Aesthetics: Quantifying Information Loss in Turbid Scenes

Vasiliki Ismiroglou, Stefan H. Bengtson, Tasos Benos +2

Visibility in underwater environments degrades rapidly under turbid conditions, yet the effects on computer-vision models remain unclear. This issue is compounded by reliance on sy…

cs.CV2025

Uncovering Anomalous Events for Marine Environmental Monitoring via Visual Anomaly Detection

Laura Weihl, Stefan H. Bengtson, Nejc Novak +1

Underwater video monitoring is a promising strategy for assessing marine biodiversity, but the vast volume of uneventful footage makes manual inspection highly impractical. In this…

cs.CV2025

Sea-ing Through Scattered Rays: Revisiting the Image Formation Model for Realistic Underwater Image Generation

Vasiliki Ismiroglou, Malte Pedersen, Stefan H. Bengtson +2

In recent years, the underwater image formation model has found extensive use in the generation of synthetic underwater data. Although many approaches focus on scenes primarily aff…

cs.CV2025

AutoFish: Dataset and Benchmark for Fine-grained Analysis of Fish

Stefan Hein Bengtson, Daniel Lehotský, Vasiliki Ismiroglou +3

Automated fish documentation processes are in the near future expected to play an essential role in sustainable fisheries management and for addressing challenges of overfishing. I…

cs.CV2020

3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset

Malte Pedersen, Joakim Bruslund Haurum, Stefan Hein Bengtson +1

In this work we present a novel publicly available stereo based 3D RGB dataset for multi-object zebrafish tracking, called 3D-ZeF. Zebrafish is an increasingly popular model organi…