6 papers · 1 filter
Scalable Model-Assisted Multi-Target Estimation in Large Image Collections
Max Hamilton, Jinlin Lai, Daniel Sheldon +1
Computer vision models are increasingly used as measurement tools to estimate population-level quantities from large image collections, but prediction errors introduce bias and the…
Active Measurement of Two-Point Correlations
Max Hamilton, Daniel Sheldon, Subhransu Maji
Two-point correlation functions (2PCF) are widely used to characterize how points cluster in space. In this work, we study the problem of measuring the 2PCF over a large set of poi…
RealBirdID: Benchmarking Bird Species Identification in the Era of MLLMs
Logan Lawrence, Mustafa Chasmai, Rangel Daroya +8
Fine-grained bird species identification in the wild is frequently unanswerable from a single image: key cues may be non-visual (e.g. vocalization), or obscured due to occlusion, c…
Active Measurement: Efficient Estimation at Scale
Max Hamilton, Jinlin Lai, Wenlong Zhao +2
AI has the potential to transform scientific discovery by analyzing vast datasets with little human effort. However, current workflows often do not provide the accuracy or statisti…
Investigating Different Geo Priors for Image Classification
Angela Zhu, Christian Lange, Max Hamilton
Species distribution models encode spatial patterns of species occurrence making them effective priors for vision-based species classification when location information is availabl…
Feedforward Few-shot Species Range Estimation
Christian Lange, Max Hamilton, Elijah Cole +6
Knowing where a particular species can or cannot be found on Earth is crucial for ecological research and conservation efforts. By mapping the spatial ranges of all species, we wou…