159 citations · 1.4k across the 120 of their papers we have counts for
5 papers · 2 filters
Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach
Doreen Jirak, David Biertimpel, Matthias Kerzel +1
Whenever we are addressing a specific object or refer to a certain spatial location, we are using referential or deictic gestures usually accompanied by some verbal description. Es…
Semantic Object Accuracy for Generative Text-to-Image Synthesis
Tobias Hinz, Stefan Heinrich, Stefan Wermter
Generative adversarial networks conditioned on textual image descriptions are capable of generating realistic-looking images. However, current methods still struggle to generate im…
What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective
Di Fu, Cornelius Weber, Guochun Yang +6
Selective attention plays an essential role in information acquisition and utilization from the environment. In the past 50 years, research on selective attention has been a centra…
A Personalized Affective Memory Neural Model for Improving Emotion Recognition
Pablo Barros, German I. Parisi, Stefan Wermter
Recent models of emotion recognition strongly rely on supervised deep learning solutions for the distinction of general emotion expressions. However, they are not reliable when rec…
Generating Multiple Objects at Spatially Distinct Locations
Tobias Hinz, Stefan Heinrich, Stefan Wermter
Recent improvements to Generative Adversarial Networks (GANs) have made it possible to generate realistic images in high resolution based on natural language descriptions such as i…