2 citations · 5 across the 9 of their papers we have counts for
10 papers
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…
FEAST: Probing Hierarchical Star Formation with the Spatial Distributions of Young Star Clusters
Drew Lapeer, Daniela Calzetti, Kathryn Grasha +19
We apply the angular two-point correlation function (TPCF) to the spatial distribution of young star clusters (YSCs) in four nearby star forming galaxies (NGC 628, NGC 4449, M51, a…
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…
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…
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…
Combining Observational Data and Language for Species Range Estimation
Max Hamilton, Christian Lange, Elijah Cole +5
Species range maps (SRMs) are essential tools for research and policy-making in ecology, conservation, and environmental management. However, traditional SRMs rely on the availabil…
Comparing Correspondences: Video Prediction with Correspondence-wise Losses
Daniel Geng, Max Hamilton, Andrew Owens
Image prediction methods often struggle on tasks that require changing the positions of objects, such as video prediction, producing blurry images that average over the many positi…
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild
Weifeng Chen, Shengyi Qian, David Fan +3
Single-view 3D is the task of recovering 3D properties such as depth and surface normals from a single image. We hypothesize that a major obstacle to single-image 3D is data. We ad…