64 citations · 69 across the 2 of their papers we have counts for
3 papers · 1 filter
FoAViS: Analyzing Learned Fixation Strategies in a Foveated Active Vision System
Valentin Hassler, Jonathan Henrich, Yohaï-Eliel Berreby +2
Human vision is foveated and active: resolution is highest at the fovea and falls off towards the periphery, and fixations are actively directed to locations of interest. Building…
Computer Vision for Primate Behavior Analysis in the Wild
Richard Vogg, Timo Lüddecke, Jonathan Henrich +14
Advances in computer vision as well as increasingly widespread video-based behavioral monitoring have great potential for transforming how we study animal cognition and behavior. H…
TreeLearn: A deep learning method for segmenting individual trees from ground-based LiDAR forest point clouds
Jonathan Henrich, Jan van Delden, Dominik Seidel +2
Laser-scanned point clouds of forests make it possible to extract valuable information for forest management. To consider single trees, a forest point cloud needs to be segmented i…