733 citations · 1.3k across the 48 of their papers we have counts for
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Visual-textual Dermatoglyphic Animal Biometrics: A First Case Study on Panthera tigris
Wenshuo Li, Majid Mirmehdi, Tilo Burghardt
Biologists have long combined visuals with textual field notes to re-identify (Re-ID) animals. Contemporary AI tools automate this for species with distinctive morphological featur…
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…
Long-tailed Species Recognition in the NACTI Wildlife Dataset
Zehua Liu, Tilo Burghardt
As most ''in the wild'' data collections of the natural world, the North America Camera Trap Images (NACTI) dataset shows severe long-tailed class imbalance, noting that the larges…
WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs
Nguyen Ngoc Dat, Tom Richardson, Matthew Watson +7
Live tracking of wildlife via high-resolution video processing directly onboard drones is widely unexplored and most existing solutions rely on streaming video to ground stations t…
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…
Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation
Chengxi Zeng, Yuxuan Jiang, Fan Zhang +2
The deployment of foundation models for medical imaging has demonstrated considerable success. However, their training overheads associated with downstream tasks remain substantial…
MMLA: Multi-Environment, Multi-Species, Low-Altitude Drone Dataset
Jenna Kline, Samuel Stevens, Guy Maalouf +10
Real-time wildlife detection in drone imagery supports critical ecological and conservation monitoring. However, standard detection models like YOLO often fail to generalize across…
The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition
Otto Brookes, Maksim Kukushkin, Majid Mirmehdi +17
Computer vision analysis of camera trap video footage is essential for wildlife conservation, as captured behaviours offer some of the earliest indicators of changes in population…
Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations
Chengxi Zeng, David Smithard, Alberto M Gambaruto +1
Vision foundation models have demonstrated exceptional generalization capabilities in segmentation tasks for both generic and specialized images. However, a performance gap persist…