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Lei Shi
Lei Shi
Verified email at vis.uni-stuttgart.de
Title
Cited by
Cited by
Year
Gazeemd: Detecting visual intention in gaze-based human-robot interaction
L Shi, C Copot, S Vanlanduit
Robotics 10 (2), 68, 2021
282021
A bayesian deep neural network for safe visual servoing in human–robot interaction
L Shi, C Copot, S Vanlanduit
Frontiers in Robotics and AI 8, 687031, 2021
112021
Application of Visual Servoing and Eye Tracking Glass in Human Robot Interaction: A case study
L Shi, C Copot, S Vanlanduit
2019 23rd International Conference on System Theory, Control and Computing …, 2019
102019
What Are You Looking at? Detecting Human Intention in Gaze based Human-Robot Interaction
L Shi, C Copot, S Vanlanduit
arXiv preprint arXiv:1909.07953, 2019
102019
Gaze gesture recognition by graph convolutional networks
L Shi, C Copot, S Vanlanduit
Frontiers in Robotics and AI 8, 709952, 2021
82021
A Deep Regression Model for Safety Control in Visual Servoing Applications
L Shi, C Copot, S Vanlanduit
2020 Fourth IEEE International Conference on Robotic Computing (IRC), 360-366, 2020
62020
Automatic tuning methodology of visual servoing system using predictive approach
C Copot, L Shi, S Vanlanduit
2019 IEEE 15th International Conference on Control and Automation (ICCA …, 2019
62019
Evaluating Dropout Placements in Bayesian Regression Resnet
L Shi, C Copot, S Vanlanduit
Journal of Artificial Intelligence and Soft Computing Research 12 (1), 61-73, 2022
52022
Exploring Natural Language Processing Methods for Interactive Behaviour Modelling
G Zhang, M Bortoletto, Z Hu, L Shi, M Bâce, A Bulling
IFIP Conference on Human-Computer Interaction, 3-26, 2023
22023
Utilizing artificial neural networks to predict the asphalt pavement profile temperature in western Europe
T Ghalandari, L Shi, F Sadeghi-Khanegah, C Vuye
Case Studies in Construction Materials 18, e02130, 2023
22023
Comparison of Deep Learning Models in Position Based Visual Servoing
C Copot, L Shi, E Smet, C Ionescu, S Vanlanduit
2022 IEEE 27th International Conference on Emerging Technologies and Factory …, 2022
22022
A Performance Analysis of Invariant Feature Descriptors in Eye Tracking based Human Robot Collaboration
L Shi, C Copot, S Derammelaere, S Vanlanduit
2019 5th International Conference on Control, Automation and Robotics (ICCAR …, 2019
22019
Mindful explanations: Prevalence and impact of mind attribution in xai research
S Hindennach, L Shi, F MiletiĆ, A Bulling
Proceedings of the ACM on Human-Computer Interaction 8 (CSCW1), 1-43, 2024
12024
VD-GR: Boosting Visual Dialog with Cascaded Spatial-Temporal Multi-Modal GRaphs
A Abdessaied, L Shi, A Bulling
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024
12024
Improving neural saliency prediction with a cognitive model of human visual attention
E Sood, L Shi, M Bortoletto, Y Wang, P Müller, A Bulling
Proceedings of the Annual Meeting of the Cognitive Science Society 45 (45), 2023
12023
Visual Intention Classification by Deep Learning for Gaze-based Human-Robot Interaction
L Shi, C Copot, S Vanlanduit
IFAC-PapersOnLine 53 (5), 750-755, 2020
12020
Neural Reasoning About Agents’ Goals, Preferences, and Actions
M Bortoletto, L Shi, A Bulling
Proceedings of the AAAI Conference on Artificial Intelligence 38 (1), 456-464, 2024
2024
ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos
L Shi, P Bürkner, A Bulling
arXiv preprint arXiv:2403.08591, 2024
2024
Explaining Disagreement in Visual Question Answering Using Eye Tracking
S Hindennach, L Shi, A Bulling
2024
Inferring Human Intentions from Predicted Action Probabilities
L Shi, PC Bürkner, A Bulling
https://arxiv.org/abs/2308.12194v2, 2023
2023
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