9 citations · 17 across the 13 of their papers we have counts for
13 papers
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…
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…
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…
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…
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…
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…
Edge-Native, Behavior-Adaptive Drone System for Wildlife Monitoring
Jenna Kline, Rugved Katole, Tanya Berger-Wolf +1
Wildlife monitoring with drones must balance competing demands: approaching close enough to capture behaviorally-relevant video while avoiding stress responses that compromise anim…
kabr-tools: Automated Framework for Multi-Species Behavioral Monitoring
Jenna Kline, Maksim Kholiavchenko, Samuel Stevens +13
A comprehensive understanding of animal behavior ecology depends on scalable approaches to quantify and interpret complex, multidimensional behavioral patterns. Traditional field o…
SmartWilds: Multimodal Wildlife Monitoring Dataset
Jenna Kline, Anirudh Potlapally, Bharath Pillai +7
We present the first release of SmartWilds, a multimodal wildlife monitoring dataset. SmartWilds is a synchronized collection of drone imagery, camera trap photographs and videos,…
Characterizing and Modeling AI-Driven Animal Ecology Studies at the Edge
Jenna Kline, Austin O'Quinn, Tanya Berger-Wolf +1
Platforms that run artificial intelligence (AI) pipelines on edge computing resources are transforming the fields of animal ecology and biodiversity, enabling novel wildlife studie…
Adapting the re-ID challenge for static sensors
Avirath Sundaresan, Jason R. Parham, Jonathan Crall +9
In both 2016 and 2018, a census of the highly-endangered Grevy's zebra population was enabled by the Great Grevy's Rally (GGR), a citizen science event that produces population est…
Integrating Biological Data into Autonomous Remote Sensing Systems for In Situ Imageomics: A Case Study for Kenyan Animal Behavior Sensing with Unmanned Aerial Vehicles (UAVs)
Jenna M. Kline, Maksim Kholiavchenko, Otto Brookes +3
In situ imageomics leverages machine learning techniques to infer biological traits from images collected in the field, or in situ, to study individuals organisms, groups of wildli…
BaboonLand Dataset: Tracking Primates in the Wild and Automating Behaviour Recognition from Drone Videos
Isla Duporge, Maksim Kholiavchenko, Roi Harel +9
Using drones to track multiple individuals simultaneously in their natural environment is a powerful approach for better understanding group primate behavior. Previous studies have…