129 citations · 718 across the 31 of their papers we have counts for
35 papers
Resource saving taxonomy classification with k-mer distributions and machine learning
Wolfgang Fuhl, Susanne Zabel, Kay Nieselt
Modern high throughput sequencing technologies like metagenomic sequencing generate millions of sequences which have to be classified based on their taxonomic rank. Modern approach…
A temporally quantized distribution of pupil diameters as a new feature for cognitive load classification
Wolfgang Fuhl, Susanne Zabel, Theresa Harbig +4
In this paper, we present a new feature that can be used to classify cognitive load based on pupil information. The feature consists of a temporal segmentation of the eye tracking…
Area of interest adaption using feature importance
Wolfgang Fuhl, Susanne Zabel, Theresa Harbig +4
In this paper, we present two approaches and algorithms that adapt areas of interest (AOI) or regions of interest (ROI), respectively, to the eye tracking data quality and classifi…
One step closer to EEG based eye tracking
Wolfgang Fuhl, Susanne Zabel, Theresa Harbig +4
In this paper, we present two approaches and algorithms that adapt areas of interest We present a new deep neural network (DNN) that can be used to directly determine gaze position…
Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction
Daniel Weber, Wolfgang Fuhl, Enkelejda Kasneci +1
For successful deployment of robots in multifaceted situations, an understanding of the robot for its environment is indispensable. With advancing performance of state-of-the-art o…
Deep Learning-Based Position Detection for Hydraulic Cylinders Using Scattering Parameters
Chen Xin, Thomas Motz, Wolfgang Fuhl +2
Position detection of hydraulic cylinder pistons is crucial for numerous industrial automation applications. A typical traditional method is to excite electromagnetic waves in the…
Technical Report: Combining knowledge from Transfer Learning during training and Wide Resnets
Wolfgang Fuhl
In this report, we combine the idea of Wide ResNets and transfer learning to optimize the architecture of deep neural networks. The first improvement of the architecture is the use…
Where and What: Driver Attention-based Object Detection
Yao Rong, Naemi-Rebecca Kassautzki, Wolfgang Fuhl +1
Human drivers use their attentional mechanisms to focus on critical objects and make decisions while driving. As human attention can be revealed from gaze data, capturing and analy…
Gaze-based Object Detection in the Wild
Daniel Weber, Wolfgang Fuhl, Andreas Zell +1
In human-robot collaboration, one challenging task is to teach a robot new yet unknown objects enabling it to interact with them. Thereby, gaze can contain valuable information. We…
HPCGen: Hierarchical K-Means Clustering and Level Based Principal Components for Scan Path Genaration
Wolfgang Fuhl
In this paper, we present a new approach for decomposing scan paths and its utility for generating new scan paths. For this purpose, we use the K-Means clustering procedure to the…
GroupGazer: A Tool to Compute the Gaze per Participant in Groups with integrated Calibration to Map the Gaze Online to a Screen or Beamer Projection
Wolfgang Fuhl, Daniel Weber, Shahram Eivazi
In this paper we present GroupGaze. It is a tool that can be used to calculate the gaze direction and the gaze position of whole groups. GroupGazer calculates the gaze direction of…
Pistol: Pupil Invisible Supportive Tool to extract Pupil, Iris, Eye Opening, Eye Movements, Pupil and Iris Gaze Vector, and 2D as well as 3D Gaze
Wolfgang Fuhl, Daniel Weber, Shahram Eivazi
This paper describes a feature extraction and gaze estimation software, named \textit{Pistol} that can be used with Pupil Invisible projects and other eye trackers in the future. I…
Tensor Normalization and Full Distribution Training
Wolfgang Fuhl
In this work, we introduce pixel wise tensor normalization, which is inserted after rectifier linear units and, together with batch normalization, provides a significant improvemen…
Maximum and Leaky Maximum Propagation
Wolfgang Fuhl
In this work, we present an alternative to conventional residual connections, which is inspired by maxout nets. This means that instead of the addition in residual connections, our…
1000 Pupil Segmentations in a Second using Haar Like Features and Statistical Learning
Wolfgang Fuhl
In this paper we present a new approach for pupil segmentation. It can be computed and trained very efficiently, making it ideal for online use for high speed eye trackers as well…
TEyeD: Over 20 million real-world eye images with Pupil, Eyelid, and Iris 2D and 3D Segmentations, 2D and 3D Landmarks, 3D Eyeball, Gaze Vector, and Eye Movement Types
Wolfgang Fuhl, Gjergji Kasneci, Enkelejda Kasneci
We present TEyeD, the world's largest unified public data set of eye images taken with head-mounted devices. TEyeD was acquired with seven different head-mounted eye trackers. Amon…
A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysis
Wolfgang Fuhl, Enkelejda Kasneci
We present a new dataset with annotated eye movements. The dataset consists of over 800,000 gaze points recorded during a car ride in the real world and in the simulator. In total,…
The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applications
Wolfgang Fuhl, Daniel Weber, Shahram Eivazi
In this work, we inspect different data sources for browser fingerprints. We show which disadvantages and limitations browser statistics have and how this can be avoided with other…
Rotated Ring, Radial and Depth Wise Separable Radial Convolutions
Wolfgang Fuhl, Enkelejda Kasneci
Simple image rotations significantly reduce the accuracy of deep neural networks. Moreover, training with all possible rotations increases the data set, which also increases the tr…
Weight and Gradient Centralization in Deep Neural Networks
Wolfgang Fuhl, Enkelejda Kasneci
Batch normalization is currently the most widely used variant of internal normalization for deep neural networks. Additional work has shown that the normalization of weights and ad…
Explainable Online Validation of Machine Learning Models for Practical Applications
Wolfgang Fuhl, Yao Rong, Thomas Motz +4
We present a reformulation of the regression and classification, which aims to validate the result of a machine learning algorithm. Our reformulation simplifies the original proble…
Multi Layer Neural Networks as Replacement for Pooling Operations
Wolfgang Fuhl, Enkelejda Kasneci
Pooling operations, which can be calculated at low cost and serve as a linear or nonlinear transfer function for data reduction, are found in almost every modern neural network. Co…
Fully Convolutional Neural Networks for Raw Eye Tracking Data Segmentation, Generation, and Reconstruction
Wolfgang Fuhl, Yao Rong, Enkelejda Kasneci
In this paper, we use fully convolutional neural networks for the semantic segmentation of eye tracking data. We also use these networks for reconstruction, and in conjunction with…
Differential Privacy for Eye Tracking with Temporal Correlations
Efe Bozkir, Onur Günlü, Wolfgang Fuhl +2
New generation head-mounted displays, such as VR and AR glasses, are coming into the market with already integrated eye tracking and are expected to enable novel ways of human-comp…