activity
20152022
most citedEvaluation of Appearance-Based Methods and Implications for Gaze-Based Applications

114 citations · 206 across the 12 of their papers we have counts for

collaborators

19 papers

cs.HC20223 cited

Federated Learning for Appearance-based Gaze Estimation in the Wild

Mayar Elfares, Zhiming Hu, Pascal Reisert +2

Gaze estimation methods have significantly matured in recent years, but the large number of eye images required to train deep learning models poses significant privacy risks. In ad…

cs.HC202213 cited

MultiMediate '22: Backchannel Detection and Agreement Estimation in Group Interactions

Philipp Müller, Michael Dietz, Dominik Schiller +5

Backchannels, i.e. short interjections of the listener, serve important meta-conversational purposes like signifying attention or indicating agreement. Despite their key role, auto…

cs.LG202212 cited

Gaze-enhanced Crossmodal Embeddings for Emotion Recognition

Ahmed Abdou, Ekta Sood, Philipp Müller +1

Emotional expressions are inherently multimodal -- integrating facial behavior, speech, and gaze -- but their automatic recognition is often limited to a single modality, e.g. spee…

cs.CV2021

Neural Photofit: Gaze-based Mental Image Reconstruction

Florian Strohm, Ekta Sood, Sven Mayer +3

We propose a novel method that leverages human fixations to visually decode the image a person has in mind into a photofit (facial composite). Our method combines three neural netw…

cs.CL202032 cited

Improving Natural Language Processing Tasks with Human Gaze-Guided Neural Attention

Ekta Sood, Simon Tannert, Philipp Mueller +1

A lack of corpora has so far limited advances in integrating human gaze data as a supervisory signal in neural attention mechanisms for natural language processing(NLP). We propose…

cs.CL2020

Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension

Ekta Sood, Simon Tannert, Diego Frassinelli +2

While neural networks with attention mechanisms have achieved superior performance on many natural language processing tasks, it remains unclear to which extent learned attention r…