159 citations · 1.4k across the 120 of their papers we have counts for
17 papers · 1 filter
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…
EDA: Enriching Emotional Dialogue Acts using an Ensemble of Neural Annotators
Chandrakant Bothe, Cornelius Weber, Sven Magg +1
The recognition of emotion and dialogue acts enriches conversational analysis and help to build natural dialogue systems. Emotion interpretation makes us understand feelings and di…
Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space
Muhammad Burhan Hafez, Cornelius Weber, Matthias Kerzel +1
Combining model-based and model-free deep reinforcement learning has shown great promise for improving sample efficiency on complex control tasks while still retaining high perform…
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…
Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks
Sayantan Auddy, Sven Magg, Stefan Wermter
The complexity of bipedal locomotion may be attributed to the difficulty in synchronizing joint movements while at the same time achieving high-level objectives such as walking in…