1 code implementation • 26 Apr 2023 • Andre Vauvelle, Benjamin Wild, Aylin Cakiroglu, Roland Eils, Spiros Denaxas
Additionally, we demonstrate the benefits of the algorithmic supervision enabled by Diffsurv by presenting a novel method for top-k risk prediction that outperforms current methods.
1 code implementation • 6 Apr 2021 • Jennifer J. Sun, Tomomi Karigo, Dipam Chakraborty, Sharada P. Mohanty, Benjamin Wild, Quan Sun, Chen Chen, David J. Anderson, Pietro Perona, Yisong Yue, Ann Kennedy
Multi-agent behavior modeling aims to understand the interactions that occur between agents.
no code implementations • 1 Jan 2021 • Benjamin Wild, David Dormagen, Michael L Smith, Tim Landgraf
Honey bees are a popular model for complex social systems, in which global behavior emerges from the actions and interactions of thousands of individuals.
no code implementations • 21 Mar 2018 • Hauke Jürgen Mönck, Andreas Jörg, Tobias von Falkenhausen, Julian Tanke, Benjamin Wild, David Dormagen, Jonas Piotrowski, Claudia Winklmayr, David Bierbach, Tim Landgraf
Here we introduce BioTracker, an open-source computer vision framework, that provides programmers with core functionalities that are essential parts of a tracking software, such as video I/O, graphics overlays and mouse and keyboard interfaces.
no code implementations • 13 Feb 2018 • Benjamin Wild, Leon Sixt, Tim Landgraf
Tracking and identifying all bees in the colony over their lifetimes therefore may likely shed light on the interplay of individual differences and colony behavior.
1 code implementation • 9 Feb 2018 • Franziska Boenisch, Benjamin Rosemann, Benjamin Wild, Fernando Wario, David Dormagen, Tim Landgraf
Computational approaches to the analysis of collective behavior in social insects increasingly rely on motion paths as an intermediate data layer from which one can infer individual behaviors or social interactions.
no code implementations • 22 Aug 2017 • Fernando Wario, Benjamin Wild, Raúl Rojas, Tim Landgraf
In this paper, we describe our recording setup, the image processing steps performed for dance detection and decoding and an algorithm to map dances to the field.
1 code implementation • 4 Nov 2016 • Leon Sixt, Benjamin Wild, Tim Landgraf
Deep Convolutional Neuronal Networks (DCNNs) are showing remarkable performance on many computer vision tasks.