activity
20242026
collaborators

11 papers

cs.RO2026

Autonomous UAV Navigation for Individual Wildlife Re-Identification

Claire Sun, Tanya Berger-Wolf, Jenna Kline

Reliable individual re-identification (re-ID) of wildlife is essential for population monitoring, behavioral tracking, and conservation policy evaluation, yet large-scale data coll…

cs.RO2026

FAIR^2 Drones: An AI-Ready Standard for Cross-Domain Wildlife Drone Datasets

Jenna Kline, Kilian Meier, Vandita Shukla +14

Animal ecology data collection using drones represents a substantial investment of time, expertise, and financial resources. Yet most existing datasets serve only a single research…

cs.CY2026

Grand Challenges for the Convergence of Computational and Citizen Science Research Workshop Report

Lucy Fortson, Lea Shanley, Tanya Berger-Wolf +4

This report is an outcome of a Computing Community Consortium (CCC) visioning workshop on Grand Challenges for the Convergence of Computational and Citizen Science Research conduct…

cs.LG2026

DynaSTy: A Framework for SpatioTemporal Node Attribute Prediction in Dynamic Graphs

Namrata Banerji, Tanya Berger-Wolf

Accurate multistep forecasting of node-level attributes on dynamic graphs is critical for applications ranging from financial trust networks to biological networks. Existing spatio…

q-bio.PE2026

Centering Ecological Goals in Automated Identification of Individual Animals

Lukas Picek, Timm Haucke, Lukáš Adam +16

Recognizing individual animals over time is central to many ecological and conservation questions, including estimating abundance, survival, movement, and social structure. Recent…

cs.CV2026

Tracking Phenological Status and Ecological Interactions in a Hawaiian Cloud Forest Understory using Low-Cost Camera Traps and Visual Foundation Models

Luke Meyers, Anirudh Potlapally, Yuyan Chen +5

Plant phenology, the study of cyclical events such as leafing out, flowering, or fruiting, has wide ecological impacts but is broadly understudied, especially in the tropics. Image…