6 citations · 6 across the 5 of their papers we have counts for
5 papers · 1 filter
Prompting-MammAlps: Fine-Grained Text-to-Video Retrieval for Camera-Trap Data
Valentin Gabeff, Baptiste Maquignaz, Jennifer Shan +5
Automatically retrieving videos from large camera-trap datasets remains challenging. Text-to-Video retrieval (TVR) methods based on large video-language models (VLMs) have potentia…
WildBox: A Dataset and Benchmark for Aerial Monocular 3D Detection of African Savanna Wildlife
Vandita Shukla, Kilian Meier, Lucie Laporte-Devylder +6
We introduce WildBox, a dataset and benchmark for monocular 3D detection of wildlife from drone video, comprising 237,505 3D bounding box annotations across seven African savanna s…
WildLIFT: Lifting monocular drone video to 3D for species-agnostic wildlife monitoring
Vandita Shukla, Fabio Remondino, Blair Costelloe +1
Monocular RGB cameras mounted on drones are widely used for wildlife monitoring, yet most analytical pipelines remain confined to two-dimensional image space, leaving geometric inf…
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…
MammalNet: A Large-scale Video Benchmark for Mammal Recognition and Behavior Understanding
Jun Chen, Ming Hu, Darren J. Coker +5
Monitoring animal behavior can facilitate conservation efforts by providing key insights into wildlife health, population status, and ecosystem function. Automatic recognition of a…