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Biography

Lei Shi is a post-doctoral researcher in the Perceptual User Interfaces group since March 2022. He received his PhD degree from the University of Antwerp, Belgium, in the InViLab research group. He received his master's degree (cum laude) in Mechatronics from the Tallinn University of Technology, Estonia and his bachelor's degree in Electrical Engineering and Automation from Shanghai Maritime University, China. His research interests include eye tracking, intention prediction and graph neural networks.


Teaching

2024
Machine Perception and Learning (Teaching Assistant) (winter)Master
2023
Machine Perception and Learning (Teaching Assistant) (winter)Master
2022
Machine Perception and Learning (Tutor) (summer)Master
 
Machine Perception and Learning (Teaching Assistant) (winter)Master

Publications

  1. Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research

    Mindful Explanations: Prevalence and Impact of Mind Attribution in XAI Research

    Susanne Hindennach, Lei Shi, Filip Miletic, Andreas Bulling

    Proc. ACM on Human-Computer Interaction (PACM HCI), , pp. 1–42, 2024.

    Abstract Links BibTeX Project

  1. Neural Reasoning About Agents’ Goals, Preferences, and Actions

    Neural Reasoning About Agents’ Goals, Preferences, and Actions

    Matteo Bortoletto, Lei Shi, Andreas Bulling

    Proc. 38th AAAI Conference on Artificial Intelligence (AAAI), pp. 1–13, 2024.

    Abstract Links BibTeX Project

  2. VD-GR: Boosting Visual Dialog with Cascaded Spatial-Temporal Multi-Modal GRaphs

    VD-GR: Boosting Visual Dialog with Cascaded Spatial-Temporal Multi-Modal GRaphs

    Adnen Abdessaied, Lei Shi, Andreas Bulling

    Proc. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 5805–5814, 2024.

    Abstract Links BibTeX Project

  1. ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos

    ActionDiffusion: An Action-aware Diffusion Model for Procedure Planning in Instructional Videos

    Lei Shi, Paul Burkner, Andreas Bulling

    arXiv:2403.08591, pp. 1–6, 2024.

    Abstract Links BibTeX Project

  1. Improving Neural Saliency Prediction with a Cognitive Model of Human Visual Attention

    Improving Neural Saliency Prediction with a Cognitive Model of Human Visual Attention

    Ekta Sood, Lei Shi, Matteo Bortoletto, Yao Wang, Philipp Müller, Andreas Bulling

    Proc. the 45th Annual Meeting of the Cognitive Science Society (CogSci), pp. 3639–3646, 2023.

    Abstract Links BibTeX Project

  2. Exploring Natural Language Processing Methods for Interactive Behaviour Modelling

    Exploring Natural Language Processing Methods for Interactive Behaviour Modelling

    Guanhua Zhang, Matteo Bortoletto, Zhiming Hu, Lei Shi, Mihai Bâce, Andreas Bulling

    Proc. IFIP TC13 Conference on Human-Computer Interaction (INTERACT), pp. 1–22, 2023.

    Abstract Links BibTeX Project Best Student Paper Nomination

  1. Evaluating Dropout Placements in Bayesian Regression Resnet

    Lei Shi, Cosmin Copot, Steve Vanlanduit

    Journal of Artificial Intelligence and Soft Computing Research, 12(1), pp. 61–73, 2022.

    Abstract Links BibTeX Project

  1. Gaze Gesture Recognition by Graph Convolutional Networks

    Lei Shi, Cosmin Copot, Steve Vanlanduit

    Frontiers in Robotics and AI, 8, 2021.

    Abstract Links BibTeX Project

  2. GazeEMD: Detecting Visual Intention in Gaze-Based Human-Robot Interaction

    Lei Shi, Cosmin Copot, Steve Vanlanduit

    Robotics, 10(2), pp. 1–18, 2021.

    Abstract Links BibTeX Project

  3. A Bayesian Deep Neural Network for Safe Visual Servoing in Human–Robot Interaction

    Lei Shi, Cosmin Copot, Steve Vanlanduit

    Frontiers in Robotics and AI, 8, pp. 1–13, 2021.

    Abstract Links BibTeX Project

  1. Visual Intention Classification by Deep Learning for Gaze-based Human-Robot Interaction

    Lei Shi, Cosmin Copot, Steve Vanlanduit

    IFAC-PapersOnLine, 53(5), pp. 750-755, 2020.

    Abstract Links BibTeX Project

  1. A Deep Regression Model for Safety Control in Visual Servoing Applications

    Lei Shi, Cosmin Copot, Steve Vanlanduit

    Proc. IEEE International Conference on Robotic Computing (IRC), pp. 360–366, 2020.

    Abstract Links BibTeX Project

  1. A Performance Analysis of Invariant Feature Descriptors in Eye Tracking based Human Robot Collaboration

    Lei Shi, Cosmin Copot, Stijn Derammelaere, Steve Vanlanduit

    Proc. International Conference on Control, Automation and Robotics (ICCAR), pp. 256–260, 2019.

    Abstract Links BibTeX Project

  2. Application of Visual Servoing and Eye Tracking Glass in Human Robot Interaction: A case study

    Lei Shi, Cosmin Copot, Steve Vanlanduit

    Proc. International Conference on System Theory, Control and Computing (ICSTCC), pp. 515–520, 2019.

    Abstract Links BibTeX Project

  3. Automatic Tuning Methodology of Visual Servoing System Using Predictive Approach

    Cosmin Copot, Lei Shi, Steve Vanlanduit

    Proc. IEEE International Conference on Control and Automation (ICCA), pp. 776–781, 2019.

    Abstract Links BibTeX Project