Stephan Hasler

Orcid: 0000-0002-3690-3223

According to our database1, Stephan Hasler authored at least 28 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions.
CoRR, 2024

Large Language Models for Multi-Modal Human-Robot Interaction.
CoRR, 2024

2023
CoPAL: Corrective Planning of Robot Actions with Large Language Models.
CoRR, 2023

Communicating Robot's Intentions while Assisting Users via Augmented Reality.
CoRR, 2023

Explainable Human-Robot Training and Cooperation with Augmented Reality.
Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

2021
Improved multi-source domain adaptation by preservation of factors.
Image Vis. Comput., 2021

Designing Interaction for Multi-agent Cooperative System in an Office Environment.
Proceedings of the Companion of the 2021 ACM/IEEE International Conference on Human-Robot Interaction, 2021

2020
Designing Interaction for Multi-agent Cooperative System in an Office Environment.
CoRR, 2020

A Knowledge-based Multi-entity and Cooperative System Architecture.
Proceedings of the IEEE International Conference on Human-Machine Systems, 2020

Designing Interaction for Multi-agent System in an Office Environment.
Proceedings of the Chinese CHI 2020: The eighth International Workshop of Chinese CHI, 2020

2019
Domain Mixture: An Overlooked Scenario in Domain Adaptation.
Proceedings of the 18th IEEE International Conference On Machine Learning And Applications, 2019

2018
Which tool to use? Grounded reasoning in everyday environments with assistant robots.
Proceedings of the 11th Cognitive Robotics Workshop 2018, 2018

Interactive Incremental Online Learning of Objects Onboard of a Cooperative Autonomous Mobile Robot.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
A Priori Reliability Prediction with Meta-Learning Based on Context Information.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2015
Rendered Benchmark Data Set for Evaluation of Occlusion-Handling Strategies of a Parts-Based Car Detector.
Proceedings of the Image and Video Technology - 7th Pacific-Rim Symposium, 2015

2014
A Two-Stage Classifier Architecture for Detecting Objects under Real-World Occlusion Patterns.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013
An integrated ADAS for assessing risky situations in urban driving.
Proceedings of the 2013 IEEE Intelligent Vehicles Symposium (IV), 2013

Using the Analytic Feature Framework for the Detection of Occluded Objects.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2013, 2013

2011
Active 3D Object Localization Using a Humanoid Robot.
IEEE Trans. Robotics, 2011

Biased Competition in Visual Processing Hierarchies: A Learning Approach Using Multiple Cues.
Cogn. Comput., 2011

2010
Learning features for robust object recognition.
PhD thesis, 2010

System approach for multi-purpose representations of traffic scene elements.
Proceedings of the 13th International IEEE Conference on Intelligent Transportation Systems, 2010

2009
A vision architecture for unconstrained and incremental learning of multiple categories.
Memetic Comput., 2009

Large-Scale Real-Time Object Identification Based on Analytic Features.
Proceedings of the Artificial Neural Networks, 2009

2008
Unsupervised extraction of design components for a 3D parts-based representation.
Proceedings of the International Joint Conference on Neural Networks, 2008

2007
Combining Reconstruction and Discrimination with Class-Specific Sparse Coding.
Neural Comput., 2007

A Comparison of Features in Parts-Based Object Recognition Hierarchies.
Proceedings of the Artificial Neural Networks, 2007

2005
Class-Specific Sparse Coding for Learning of Object Representations.
Proceedings of the Artificial Neural Networks: Biological Inspirations, 2005


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