Stefan Wermter

research

∙ 05/05/2022

Conversational Analysis of Daily Dialog Data using Polite Emotional Dialogue Acts

Many socio-linguistic cues are used in conversational analysis, such as ...

Chandrakant Bothe, et al. ∙

research

∙ 05/05/2022

What is Right for Me is Not Yet Right for You: A Dataset for Grounding Relative Directions via Multi-Task Learning

Understanding spatial relations is essential for intelligent agents to a...

Jae Hee Lee, et al. ∙

research

∙ 04/09/2022

Explain yourself! Effects of Explanations in Human-Robot Interaction

Recent developments in explainable artificial intelligence promise the p...

Jakob Ambsdorf, et al. ∙

research

∙ 04/08/2022

Grounding Hindsight Instructions in Multi-Goal Reinforcement Learning for Robotics

This paper focuses on robotic reinforcement learning with sparse rewards...

Frank Röder, et al. ∙

research

∙ 03/04/2022

Integrating Statistical Uncertainty into Neural Network-Based Speech Enhancement

Speech enhancement in the time-frequency domain is often performed by es...

Huajian Fang, et al. ∙

research

∙ 02/27/2022

A Multimodal German Dataset for Automatic Lip Reading Systems and Transfer Learning

Large datasets as required for deep learning of lip reading do not exist...

Gerald Schwiebert, et al. ∙

research

∙ 01/17/2022

Language Model-Based Paired Variational Autoencoders for Robotic Language Learning

Human infants learn language while interacting with their environment in...

Ozan Özdemir, et al. ∙

research

∙ 12/09/2021

LipSound2: Self-Supervised Pre-Training for Lip-to-Speech Reconstruction and Lip Reading

The aim of this work is to investigate the impact of crossmodal self-sup...

Leyuan Qu, et al. ∙

research

∙ 11/11/2021

Lifelong Learning from Event-based Data

Lifelong learning is a long-standing aim for artificial agents that act ...

Vadym Gryshchuk, et al. ∙

research

∙ 11/02/2021

A trained humanoid robot can perform human-like crossmodal social attention conflict resolution

Due to the COVID-19 pandemic, robots could be seen as potential resource...

Di Fu, et al. ∙

research

∙ 10/08/2021

How Can AI Recognize Pain and Express Empathy

Sensory and emotional experiences such as pain and empathy are relevant ...

Siqi Cao, et al. ∙

research

∙ 09/01/2021

FaVoA: Face-Voice Association Favours Ambiguous Speaker Detection

The strong relation between face and voice can aid active speaker detect...

Hugo Carneiro, et al. ∙

research

∙ 08/03/2021

Generalization in Multimodal Language Learning from Simulation

Neural networks can be powerful function approximators, which are able t...

Aaron Eisermann, et al. ∙

research

∙ 07/26/2021

Robotic Occlusion Reasoning for Efficient Object Existence Prediction

Reasoning about potential occlusions is essential for robots to efficien...

Mengdi Li, et al. ∙

research

∙ 07/09/2021

Behavior Self-Organization Supports Task Inference for Continual Robot Learning

Recent advances in robot learning have enabled robots to become increasi...

Muhammad Burhan Hafez, et al. ∙

research

∙ 07/01/2021

Model Mediated Teleoperation with a Hand-Arm Exoskeleton in Long Time Delays Using Reinforcement Learning

Telerobotic systems must adapt to new environmental conditions and deal ...

Hadi Beik-Mohammadi, et al. ∙

research

∙ 05/18/2021

DRILL: Dynamic Representations for Imbalanced Lifelong Learning

Continual or lifelong learning has been a long-standing challenge in mac...

Kyra Ahrens, et al. ∙

research

∙ 04/12/2021

Survey on reinforcement learning for language processing

In recent years some researchers have explored the use of reinforcement ...

Víctor Uc-Cetina, et al. ∙

research

∙ 03/29/2021

Visual Distant Supervision for Scene Graph Generation

Scene graph generation aims to identify objects and their relations in i...

Yuan Yao, et al. ∙

research

∙ 03/24/2021

Exercise with Social Robots: Companion or Coach?

In this paper, we investigate the roles that social robots can take in p...

Sascha Griffiths, et al. ∙

research

∙ 03/23/2021

A Sub-Layered Hierarchical Pyramidal Neural Architecture for Facial Expression Recognition

In domains where computational resources and labeled data are limited, s...

Henrique Siqueira, et al. ∙

research

∙ 03/05/2021

Disambiguating Affective Stimulus Associations for Robot Perception and Dialogue

Effectively recognising and applying emotions to interactions is a highl...

Henrique Siqueira, et al. ∙

research

∙ 03/05/2021

An Ensemble with Shared Representations Based on Convolutional Networks for Continually Learning Facial Expressions

Social robots able to continually learn facial expressions could progres...

Henrique Siqueira, et al. ∙

research

∙ 02/19/2021

Continual Learning from Synthetic Data for a Humanoid Exercise Robot

In order to detect and correct physical exercises, a Grow-When-Required ...

Nicolas Duczek, et al. ∙

research

∙ 02/17/2021

Variational Autoencoder for Speech Enhancement with a Noise-Aware Encoder

Recently, a generative variational autoencoder (VAE) has been proposed f...

Huajian Fang, et al. ∙

research

∙ 02/10/2021

Improving Model-Based Reinforcement Learning with Internal State Representations through Self-Supervision

Using a model of the environment, reinforcement learning agents can plan...

Julien Scholz, et al. ∙

research

∙ 02/05/2021

CharacterGAN: Few-Shot Keypoint Character Animation and Reposing

We introduce CharacterGAN, a generative model that can be trained on onl...

Tobias Hinz, et al. ∙

research

∙ 12/18/2020

Hierarchical principles of embodied reinforcement learning: A review

Cognitive Psychology and related disciplines have identified several cri...

Manfred Eppe, et al. ∙

research

∙ 11/25/2020

Sensorimotor representation learning for an "active self" in robots: A model survey

Safe human-robot interactions require robots to be able to learn how to ...

Phuong D. H. Nguyen, et al. ∙

research

∙ 11/13/2020

Robotic self-representation improves manipulation skills and transfer learning

Cognitive science suggests that the self-representation is critical for ...

Phuong D. H. Nguyen, et al. ∙

research

∙ 11/11/2020

Reinforcement Learning with Time-dependent Goals for Robotic Musicians

Reinforcement learning is a promising method to accomplish robotic contr...

Thilo Fryen, et al. ∙

research

∙ 10/14/2020

Affect-Driven Modelling of Robot Personality for Collaborative Human-Robot Interactions

Collaborative interactions require social robots to adapt to the dynamic...

Nikhil Churamani, et al. ∙

research

∙ 10/09/2020

Integrating Intrinsic and Extrinsic Explainability: The Relevance of Understanding Neural Networks for Human-Robot Interaction

Explainable artificial intelligence (XAI) can help foster trust in and a...

Tom Weber, et al. ∙

research

∙ 09/26/2020

Enhancing a Neurocognitive Shared Visuomotor Model for Object Identification, Localization, and Grasping With Learning From Auxiliary Tasks

We present a follow-up study on our unified visuomotor neural model for ...

Matthias Kerzel, et al. ∙

research

∙ 06/24/2020

Crossmodal Language Grounding in an Embodied Neurocognitive Model

Human infants are able to acquire natural language seemingly easily at a...

Stefan Heinrich, et al. ∙

research

∙ 06/22/2020

Facial Expression Editing with Continuous Emotion Labels

Recently deep generative models have achieved impressive results in the ...

Alexandra Lindt, et al. ∙

research

∙ 06/20/2020

Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives

The acquisition of symbolic and linguistic representations of sensorimot...

Junpei Zhong, et al. ∙

research

∙ 05/17/2020

Multimodal Target Speech Separation with Voice and Face References

Target speech separation refers to isolating target speech from a multi-...

Leyuan Qu, et al. ∙

research

∙ 05/07/2020

Curious Hierarchical Actor-Critic Reinforcement Learning

Hierarchical abstraction and curiosity-driven exploration are two common...

Frank Röder, et al. ∙

research

∙ 04/21/2020

Explainable Goal-Driven Agents and Robots – A Comprehensive Review and New Framework

Recent applications of autonomous agents and robots, for example, self-d...

Fatai Sado, et al. ∙

research

∙ 04/19/2020

Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience Imagination

Combining model-based and model-free learning systems has been shown to ...

Muhammad Burhan Hafez, et al. ∙

research

∙ 03/25/2020

Improved Techniques for Training Single-Image GANs

Recently there has been an interest in the potential of learning generat...

Tobias Hinz, et al. ∙

research

∙ 01/17/2020

Efficient Facial Feature Learning with Wide Ensemble-based Convolutional Neural Networks

Ensemble methods, traditionally built with independently trained de-corr...

Henrique Siqueira, et al. ∙

research

∙ 12/13/2019

Solving Visual Object Ambiguities when Pointing: An Unsupervised Learning Approach

Whenever we are addressing a specific object or refer to a certain spati...

Doreen Jirak, et al. ∙

research

∙ 12/02/2019

Enriching Existing Conversational Emotion Datasets with Dialogue Acts using Neural Annotators

The recognition of emotion and dialogue acts enrich conversational analy...

Chandrakant Bothe, et al. ∙

research

∙ 10/29/2019

Semantic Object Accuracy for Generative Text-to-Image Synthesis

Generative adversarial networks conditioned on simple textual image desc...

Tobias Hinz, et al. ∙

research

∙ 10/10/2019

Efficient Intrinsically Motivated Robotic Grasping with Learning-Adaptive Imagination in Latent Space

Combining model-based and model-free deep reinforcement learning has sho...

Muhammad Burhan Hafez, et al. ∙

research

∙ 09/05/2019

What can computational models learn from human selective attention? A review from an audiovisual crossmodal perspective

Selective attention plays an essential role in information acquisition a...

Di Fu, et al. ∙

research

∙ 09/02/2019

Hierarchical Control for Bipedal Locomotion using Central Pattern Generators and Neural Networks

The complexity of bipedal locomotion may be attributed to the difficulty...

Sayantan Auddy, et al. ∙

research

∙ 08/30/2019

The OMG-Empathy Dataset: Evaluating the Impact of Affective Behavior in Storytelling

Processing human affective behavior is important for developing intellig...

Pablo Barros, et al. ∙

Stefan Wermter

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