54 citations · 247 across the 13 of their papers we have counts for
16 papers
PapagAI:Automated Feedback for Reflective Essays
Veronika Solopova, Adrian Gruszczynski, Eiad Rostom +9
Written reflective practice is a regular exercise pre-service teachers perform during their higher education. Usually, their lecturers are expected to provide individual feedback,…
Automated multilingual detection of Pro-Kremlin propaganda in newspapers and Telegram posts
Veronika Solopova, Oana-Iuliana Popescu, Christoph Benzmüller +1
The full-scale conflict between the Russian Federation and Ukraine generated an unprecedented amount of news articles and social media data reflecting opposing ideologies and narra…
A Rigorous Study Of The Deep Taylor Decomposition
Leon Sixt, Tim Landgraf
Saliency methods attempt to explain deep neural networks by highlighting the most salient features of a sample. Some widely used methods are based on a theoretical framework called…
DNNR: Differential Nearest Neighbors Regression
Youssef Nader, Leon Sixt, Tim Landgraf
K-nearest neighbors (KNN) is one of the earliest and most established algorithms in machine learning. For regression tasks, KNN averages the targets within a neighborhood which pos…
Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Leon Sixt, Martin Schuessler, Oana-Iuliana Popescu +2
A variety of methods exist to explain image classification models. However, whether they provide any benefit to users over simply comparing various inputs and the model's respectiv…
Impact of Variable Speed on Collective Movement of Animal Groups
Pascal P. Klamser, Luis Gómez-Nava, Tim Landgraf +3
A variety of agent-based models has been proposed to account for the emergence of coordinated collective behavior of animal groups from simple interaction rules. A common, simplify…
Socially competent robots: adaptation improves leadership performance in groups of live fish
Tim Landgraf, Hauke J. Moenck, Gregor H. W. Gebhardt +6
Collective motion is commonly modeled with simple interaction rules between agents. Yet in nature, numerous observables vary within and between individuals and it remains largely u…
Restricting the Flow: Information Bottlenecks for Attribution
Karl Schulz, Leon Sixt, Federico Tombari +1
Attribution methods provide insights into the decision-making of machine learning models like artificial neural networks. For a given input sample, they assign a relevance score to…
When Explanations Lie: Why Many Modified BP Attributions Fail
Leon Sixt, Maximilian Granz, Tim Landgraf
Attribution methods aim to explain a neural network's prediction by highlighting the most relevant image areas. A popular approach is to backpropagate (BP) a custom relevance score…
Reconstructing the visual perception of honey bees in complex 3-D worlds
Johannes Polster, Julian Petrasch, Randolf Menzel +1
Over the last decades, honeybees have been a fascinating model to study insect navigation. While there is some controversy about the complexity of underlying neural correlates, the…
BioTracker: An Open-Source Computer Vision Framework for Visual Animal Tracking
Hauke Jürgen Mönck, Andreas Jörg, Tobias von Falkenhausen +7
The study of animal behavior increasingly relies on (semi-) automatic methods for the extraction of relevant behavioral features from video or picture data. To date, several specia…
Dancing Honey bee Robot Elicits Dance-Following and Recruits Foragers
Tim Landgraf, David Bierbach, Andreas Kirbach +6
The honey bee dance communication system is one of the most popular examples of animal communication. Forager bees communicate the flight vector towards food, water, or resin sourc…
Tracking all members of a honey bee colony over their lifetime
Franziska Boenisch, Benjamin Rosemann, Benjamin Wild +3
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 individua…
Automatic localization and decoding of honeybee markers using deep convolutional neural networks
Benjamin Wild, Leon Sixt, Tim Landgraf
The honeybee is a fascinating model animal to investigate how collective behavior emerges from (inter-)actions of thousands of individuals. Bees may acquire unique memories through…
Automatic detection and decoding of honey bee waggle dances
Fernando Wario, Benjamin Wild, Raúl Rojas +1
The waggle dance is one of the most popular examples of animal communication. Forager bees direct their nestmates to profitable resources via a complex motor display. Essentially,…
RenderGAN: Generating Realistic Labeled Data
Leon Sixt, Benjamin Wild, Tim Landgraf
Deep Convolutional Neuronal Networks (DCNNs) are showing remarkable performance on many computer vision tasks. Due to their large parameter space, they require many labeled samples…