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 2026Show all

7 papers · 1 filter

cs.CV2026

Benchmarking NACTI Species Recognition in Long-Tailed Regimes

Zehua Liu, Tilo Burghardt

As with most ``in the wild'' collections of the natural world, the North America Camera Trap Images (NACTI) dataset exhibits long-tailed class imbalance, with the largest class cov…

cs.CV2026

The PanAf-SBR Dataset: Social Behaviour Recognition for Wild Great Apes

Maciej Braszczok, Otto Brookes, Xiaoxuan Ma +6

Behavioural shifts in wild great ape populations, particularly the breakdown of social structures, can serve as an early indicator of population decline. Automating the detection o…

cs.CV2026

Automating Visual Recognition of Leprosy in Wild Chimpanzees

Katie I. Murray, Anna C. Bowland, Marina Ramon +9

Leprosy (Mycobacterium leprae) has been confirmed in wild western chimpanzees (Pan troglodytes verus) in West Africa, presenting as clear and progressive visual symptoms. Manual re…

cs.CV2026

CoralLite: μCT Reconstruction of Coral Colonies from Individual Corallites

Jess Jones, Leonardo Bertini, Kenneth Johnson +2

The life history of an individual coral is archived within the accreting skeleton of the colony. While reef-forming coral colonies (e.g. massive sp.) may live fo…

q-bio.PE2026

Centering Ecological Goals in Automated Identification of Individual Animals

Lukas Picek, Timm Haucke, Lukáš Adam +16

Recognizing individual animals over time is central to many ecological and conservation questions, including estimating abundance, survival, movement, and social structure. Recent…

cs.CV2026

Automated Re-Identification of Holstein-Friesian Cattle in Dense Crowds

Phoenix Yu, Tilo Burghardt, Andrew W Dowsey +1

Holstein-Friesian detection and re-identification (Re-ID) methods capture individuals well when targets are spatially separate. However, existing approaches, including YOLO-based s…

cs.CV2026

Deep in the Jungle: Towards Automating Chimpanzee Population Estimation

Tom Raynes, Otto Brookes, Timm Haucke +6

The estimation of abundance and density in unmarked populations of great apes relies on statistical frameworks that require animal-to-camera distance measurements. In practice, acq…