Enkelejda Kasneci

research

∙ 05/24/2023

DynStatF: An Efficient Feature Fusion Strategy for LiDAR 3D Object Detection

Augmenting LiDAR input with multiple previous frames provides richer sem...

0 Yao Rong, et al. ∙

research

∙ 05/23/2023

Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges

Latest developments in computer hardware, sensor technologies, and artif...

0 Efe Bozkir, et al. ∙

research

∙ 04/12/2023

Precise localization of corneal reflections in eye images using deep learning trained on synthetic data

We present a deep learning method for accurately localizing the center o...

0 Sean Anthony Byrne, et al. ∙

research

∙ 03/01/2023

Multiperspective Teaching of Unknown Objects via Shared-gaze-based Multimodal Human-Robot Interaction

For successful deployment of robots in multifaceted situations, an under...

0 Daniel Weber, et al. ∙

research

∙ 02/06/2023

Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs

Contrastively trained encoders have recently been proven to invert the d...

5 Michael Kirchhof, et al. ∙

research

∙ 10/20/2022

Towards Human-centered Explainable AI: User Studies for Model Explanations

Explainable AI (XAI) is widely viewed as a sine qua non for ever-expandi...

17 Yao Rong, et al. ∙

research

∙ 07/08/2022

A Non-isotropic Probabilistic Take on Proxy-based Deep Metric Learning

Proxy-based Deep Metric Learning (DML) learns deep representations by em...

0 Michael Kirchhof, et al. ∙

research

∙ 06/28/2022

Disentangling Embedding Spaces with Minimal Distributional Assumptions

Interest in understanding and factorizing learned embedding spaces is gr...

6 Tobias Leemann, et al. ∙

research

∙ 04/26/2022

User Trust on an Explainable AI-based Medical Diagnosis Support System

Recent research has supported that system explainability improves user t...

0 Yao Rong, et al. ∙

research

∙ 04/26/2022

Where and What: Driver Attention-based Object Detection

Human drivers use their attentional mechanisms to focus on critical obje...

4 Yao Rong, et al. ∙

research

∙ 03/29/2022

Gaze-based Object Detection in the Wild

In human-robot collaboration, one challenging task is to teach a robot n...

29 Daniel Weber, et al. ∙

research

∙ 01/18/2022

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

This paper describes a feature extraction and gaze estimation software, ...

4 Wolfgang Fuhl, et al. ∙

research

∙ 11/02/2021

Human Attention in Fine-grained Classification

The way humans attend to, process and classify a given image has the pot...

7 Yao Rong, et al. ∙

research

∙ 06/11/2021

States of confusion: Eye and Head tracking reveal surgeons' confusion during arthroscopic surgery

During arthroscopic surgeries, surgeons are faced with challenges like c...

0 Benedikt Hosp, et al. ∙

research

∙ 05/06/2021

Estimating Presentation Competence using Multimodal Nonverbal Behavioral Cues

Public speaking and presentation competence plays an essential role in m...

0 Ömer Sümer, et al. ∙

research

∙ 02/11/2021

Differentiating Surgeon Expertise Solely by Eye Movement Features

Developments in computer science in recent years are moving into hospita...

0 Benedikt Hosp, et al. ∙

research

∙ 02/03/2021

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

We present TEyeD, the world's largest unified public data set of eye ima...

8 Wolfgang Fuhl, et al. ∙

research

∙ 01/23/2021

Digital Transformations of Classrooms in Virtual Reality

With rapid developments in consumer-level head-mounted displays and comp...

0 Hong Gao, et al. ∙

research

∙ 01/12/2021

A Multimodal Eye Movement Dataset and a Multimodal Eye Movement Segmentation Analysis

We present a new dataset with annotated eye movements. The dataset consi...

0 Wolfgang Fuhl, et al. ∙

research

∙ 01/11/2021

Multimodal Engagement Analysis from Facial Videos in the Classroom

Student engagement is a key construct for learning and teaching. While m...

3 Ömer Sümer, et al. ∙

research

∙ 01/11/2021

The Gaze and Mouse Signal as additional Source for User Fingerprints in Browser Applications

In this work we inspect different data sources for browser fingerprints....

0 Wolfgang Fuhl, et al. ∙

research

∙ 01/06/2021

Artificial Intelligence Methods in In-Cabin Use Cases: A Survey

As interest in autonomous driving increases, efforts are being made to m...

0 Yao Rong, et al. ∙

research

∙ 10/23/2020

Eye Tracking Data Collection Protocol for VR for Remotely Located Subjects using Blockchain and Smart Contracts

Eye tracking data collection in the virtual reality context is typically...

0 Efe Bozkir, et al. ∙

research

∙ 10/02/2020

Rotated Ring, Radial and Depth Wise Separable Radial Convolutions

Simple image rotations significantly reduce the accuracy of deep neural ...

0 Wolfgang Fuhl, et al. ∙

research

∙ 10/02/2020

Weight and Gradient Centralization in Deep Neural Networks

Batch normalization is currently the most widely used variant of interna...

0 Wolfgang Fuhl, et al. ∙

research

∙ 10/02/2020

Explainable Online Validation of Machine Learning Models for Practical Applications

We present a reformulation of the regression and classification, which a...

29 Wolfgang Fuhl, et al. ∙

research

∙ 09/28/2020

Driver Drowsiness Classification Based on Eye Blink and Head Movement Features Using the k-NN Algorithm

Modern advanced driver-assistance systems analyze the driving performanc...

0 Mariella Dreissig, et al. ∙

research

∙ 09/23/2020

Eye Movement Feature Classification for Soccer Expertise Identification in Virtual Reality

Latest research in expertise assessment of soccer players pronounced the...

11 Benedikt Hosp, et al. ∙

research

∙ 06/20/2020

Driver Intention Anticipation Based on In-Cabin and Driving Scene Monitoring

Numerous car accidents are caused by improper driving maneuvers. Serious...

4 Yao Rong, et al. ∙

research

∙ 06/12/2020

Multi Layer Neural Networks as Replacement for Pooling Operations

Pooling operations are a layer found in almost every modern neural netwo...

0 Wolfgang Fuhl, et al. ∙

research

∙ 03/31/2020

Deep semantic gaze embedding and scanpath comparison for expertise classification during OPT viewing

Modeling eye movement indicative of expertise behavior is decisive in us...

0 Nora Castner, et al. ∙

research

∙ 02/20/2020

Differential Privacy for Eye Tracking with Temporal Correlations

Head mounted displays bring eye tracking into daily use and this raises ...

1 Efe Bozkir, et al. ∙

research

∙ 01/14/2020

Automated Anonymisation of Visual and Audio Data in Classroom Studies

Understanding students' and teachers' verbal and non-verbal behaviours d...

0 Ömer Sümer, et al. ∙

research

∙ 01/12/2020

Attention Flow: End-to-End Joint Attention Estimation

This paper addresses the problem of understanding joint attention in thi...

34 Ömer Sümer, et al. ∙

research

∙ 11/06/2019

Privacy Preserving Gaze Estimation using Synthetic Images via a Randomized Encoding Based Framework

Eye tracking is handled as one of the key technologies for applications ...

0 Efe Bozkir, et al. ∙

research

∙ 05/24/2019

Training decision trees as replacement for convolution layers

We present an alternative layer to convolution layers in convolutional n...

0 Wolfgang Fuhl, et al. ∙

research

∙ 01/29/2019

Validation loss for landmark detection

We present a new loss function for the validation of image landmarks det...

12 Wolfgang Fuhl, et al. ∙

research

∙ 08/27/2018

Eye movement velocity and gaze data generator for evaluation, robustness testing and assess of eye tracking software and visualization tools

Eye movements hold information about human perception, intention, and co...

0 Wolfgang Fuhl, et al. ∙

research

∙ 05/22/2018

Teacher's Perception in the Classroom

The ability for a teacher to engage all students in active learning proc...

0 Ömer Sümer, et al. ∙

research

∙ 03/28/2018

Eye movement simulation and detector creation to reduce laborious parameter adjustments

Eye movements hold information about human perception, intention and cog...

0 Wolfgang Fuhl, et al. ∙

research

∙ 12/24/2017

PuRe: Robust pupil detection for real-time pervasive eye tracking

Real-time, accurate, and robust pupil detection is an essential prerequi...

0 Thiago Santini, et al. ∙

research

∙ 11/09/2017

Fast camera focus estimation for gaze-based focus control

Many cameras implement auto-focus functionality. However, they typically...

0 Wolfgang Fuhl, et al. ∙

research

∙ 10/30/2017

PupilNet v2.0: Convolutional Neural Networks for CPU based real time Robust Pupil Detection

Real-time, accurate, and robust pupil detection is an essential prerequi...

0 Wolfgang Fuhl, et al. ∙

research

∙ 01/19/2016

PupilNet: Convolutional Neural Networks for Robust Pupil Detection

Real-time, accurate, and robust pupil detection is an essential prerequi...

0 Wolfgang Fuhl, et al. ∙

Enkelejda Kasneci

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