3 citations · 7 across the 13 of their papers we have counts for
14 papers
Monitoring Pasture Restoration from Satellite Image Time Series: Caveats and Opportunities
Linnea Sartorius, Isak Randahl, Delia Fano Yela +3
Monitoring nature restoration at scale is an important but difficult ecological problem. Deep learning methods to analyze satellite image time series (SITS) have been widely used f…
From Machine Learning to Large-Scale EO Products: Best Practices for Making Maps
Ghjulia Sialelli, Robin Young, Yuchang Jiang +9
Recent years have seen a rapid expansion in the production of large-scale geospatial maps derived from Earth observation (EO) data, driven largely by advances in machine learning (…
DiffVAS: Diffusion-Guided Visual Active Search in Partially Observable Environments
Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen +2
Visual active search (VAS) has been introduced as a modeling framework that leverages visual cues to direct aerial (e.g., UAV-based) exploration and pinpoint areas of interest with…
Grazing Detection using Deep Learning and Sentinel-2 Time Series Data
Aleksis Pirinen, Delia Fano Yela, Smita Chakraborty +1
Grazing shapes both agricultural production and biodiversity, yet scalable monitoring of where grazing occurs remains limited. We study seasonal grazing detection from Sentinel-2 L…
GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
Anindya Sarkar, Srikumar Sastry, Aleksis Pirinen +3
We consider the task of active geo-localization (AGL) in which an agent uses a sequence of visual cues observed during aerial navigation to find a target specified through multiple…
Flexible SE(2) graph neural networks with applications to PDE surrogates
Maria Bånkestad, Olof Mogren, Aleksis Pirinen
This paper presents a novel approach for constructing graph neural networks equivariant to 2D rotations and translations and leveraging them as PDE surrogates on non-gridded domain…
Impacts of Color and Texture Distortions on Earth Observation Data in Deep Learning
Martin Willbo, Aleksis Pirinen, John Martinsson +3
Land cover classification and change detection are two important applications of remote sensing and Earth observation (EO) that have benefited greatly from the advances of deep lea…
Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI
Aleksis Pirinen, Nosheen Abid, Nuria Agues Paszkowsky +5
Cloud formations often obscure optical satellite-based monitoring of the Earth's surface, thus limiting Earth observation (EO) activities such as land cover mapping, ocean color an…
Fully Convolutional Networks for Dense Water Flow Intensity Prediction in Swedish Catchment Areas
Aleksis Pirinen, Olof Mogren, Mårten Västerdal
Intensifying climate change will lead to more extreme weather events, including heavy rainfall and drought. Accurate stream flow prediction models which are adaptable and robust to…
Aerial View Localization with Reinforcement Learning: Towards Emulating Search-and-Rescue
Aleksis Pirinen, Anton Samuelsson, John Backsund +1
Climate-induced disasters are and will continue to be on the rise, and thus search-and-rescue (SAR) operations, where the task is to localize and assist one or several people who a…
Embodied Learning for Lifelong Visual Perception
David Nilsson, Aleksis Pirinen, Erik Gärtner +1
We study lifelong visual perception in an embodied setup, where we develop new models and compare various agents that navigate in buildings and occasionally request annotations whi…
Embodied Visual Active Learning for Semantic Segmentation
David Nilsson, Aleksis Pirinen, Erik Gärtner +1
We study the task of embodied visual active learning, where an agent is set to explore a 3d environment with the goal to acquire visual scene understanding by actively selecting vi…
Deep Reinforcement Learning for Active Human Pose Estimation
Erik Gärtner, Aleksis Pirinen, Cristian Sminchisescu
Most 3d human pose estimation methods assume that input -- be it images of a scene collected from one or several viewpoints, or from a video -- is given. Consequently, they focus o…
Exact Clustering of Weighted Graphs via Semidefinite Programming
Aleksis Pirinen, Brendan Ames
As a model problem for clustering, we consider the densest k-disjoint-clique problem of partitioning a weighted complete graph into k disjoint subgraphs such that the sum of the de…