collaborators

5 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

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…