collaborators

6 papers

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

Towards Application-Specific Evaluation of Vision Models: Case Studies in Ecology and Biology

Alex Hoi Hang Chan, Otto Brookes, Urs Waldmann +11

Computer vision methods have demonstrated considerable potential to streamline ecological and biological workflows, with a growing number of datasets and models becoming available…

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…

cs.CV2025

The SA-FARI Dataset: Segment Anything in Footage of Animals for Recognition and Identification

Dante Francisco Wasmuht, Otto Brookes, Maximillian Schall +21

Automated video analysis is critical for wildlife conservation. A foundational task in this domain is multi-animal tracking (MAT), which underpins applications such as individual r…

cs.CV2025

MedVLM-R1: Incentivizing Medical Reasoning Capability of Vision-Language Models (VLMs) via Reinforcement Learning

Jiazhen Pan, Che Liu, Junde Wu +6

Reasoning is a critical frontier for advancing medical image analysis, where transparency and trustworthiness play a central role in both clinician trust and regulatory approval. A…