activity
20162026
most citedSeeing biodiversity: perspectives in machine learning for wildlife conservation

733 citations · 1.3k across the 48 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.CV2023★ 1 cited

Diving with Penguins: Detecting Penguins and their Prey in Animal-borne Underwater Videos via Deep Learning

Kejia Zhang, Mingyu Yang, Stephen D. J. Lang +3

African penguins (Spheniscus demersus) are an endangered species. Little is known regarding their underwater hunting strategies and associated predation success rates, yet this is…

cs.CV2023

Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species

Tayfun Karaderi, Tilo Burghardt, Raphael Morard +1

Visual as well as genetic biometrics are routinely employed to identify species and individuals in biological applications. However, no attempts have been made in this domain to co…

cs.CV2023

Use Your Head: Improving Long-Tail Video Recognition

Toby Perrett, Saptarshi Sinha, Tilo Burghardt +2

This paper presents an investigation into long-tail video recognition. We demonstrate that, unlike naturally-collected video datasets and existing long-tail image benchmarks, curre…

cs.CV2023★ 354 cited

Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation

Chengxi Zeng, Xinyu Yang, David Smithard +3

This paper presents a deep learning framework for medical video segmentation. Convolution neural network (CNN) and transformer-based methods have achieved great milestones in medic…

cs.CV2023★ 1 cited

Triple-stream Deep Metric Learning of Great Ape Behavioural Actions

Otto Brookes, Majid Mirmehdi, Hjalmar Kühl +1

We propose the first metric learning system for the recognition of great ape behavioural actions. Our proposed triple stream embedding architecture works on camera trap videos take…